Synthesising Minimum Cost Dynamic Norms

Natasha Alechina, Brian Logan, Giuseppe Perelli

AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents

Petr Anokhin, Nikita Semenov, Artyom Sorokin, Dmitry Evseev, Andrey Kravchenko, Mikhail Burtsev, Evgeny Burnaev

Coalition Obstruction Temporal Logic: A New Obstruction Logic to Reason About Demon Coalitions

Davide Catta, Jean Leneutre, Vadim Malvone, James Ortiz

Optimal Distributed Training With Co-Adaptive Data Parallelism in Heterogeneous Environments

Lifang Chen, Zhichao Chen, Liqi Yan, Yanyu Cheng, Fangli Guan, Pan Li

Requirement Patterns for Engineering Multiagent Interaction Protocols

Amit K. Chopra, Samuel H. Christie V., Munindar P. Singh

Responsibility Anticipation and Attribution in LTLf

Giuseppe De Giacomo, Emiliano Lorini, Timothy Parker, Gianmarco Parretti

EF1 and EFX Orientations

Argyrios Deligkas, Eduard Eiben, Tiger-Lily Goldsmith, Viktoriia Korchemna

Multi-Agent Communication with Information Preserving Graph Contrastive Learning

Wei Du, Shifei Ding, Wei Guo, Yuqing Sun, Guoxian Yu, Lizhen Cui

Co-Learning of Strategy and Structure Achieves Full Cooperation in Complex Networks with Dynamical Linking

Xiaoqing Fan, Chin-wing Leung, Paolo Turrini

Argument-based Multi-Issue Negotiation

Thalya Fossey, Jean-Guy Mailly, Pavlos Moraitis

SocialMP: Learning Social Aware Motion Patterns via Additive Fusion for Pedestrian Trajectory Prediction

Tianci Gao, Yuzhen Zhang, Hang Guo, Pei Lv

L2M2: A Hierarchical Framework Integrating Large Language Model and Multi-agent Reinforcement Learning

Minghong Geng, Shubham Pateria, Budhitama Subagdja, Lin Li, Xin Zhao, Ah-Hwee Tan

Resistance is Futile: Gradually Declining Immunity Retains the Exponential Duration of Immunity-Free Diffusion

Andreas Göbel, Nicolas Klodt, Martin S. Krejca, Marcus Pappik

MIRROR: Multi-agent Intra- and Inter-Reflection for Optimized Reasoning in Tool Learning

Zikang Guo, Benfeng Xu, Xiaorui Wang, Zhendong Mao

Strategies, Credences, and Shannon Entropy: Reasoning about Strategic Uncertainty in Stochastic Environments

Wojciech Jamroga, Michał Tomasz Godziszewski, Aniello Murano

Steady-State Strategy Synthesis for Swarms of Autonomous Agents

Martin Jonáš, Antonín Kučera, Vojtěch Kůr, Jan Mačák

Approximate Verification of Strategic Abilities under Imperfect Information Using Local Models

Damian Kurpiewski, Wojciech Jamroga, Yan Kim

RoLocMe: A Robust Multi-agent Source Localization System with Learning-based Map Estimation

Thanh Dat Le, Lyuzhou Ye, Yan Huang

Combining Deep Reinforcement Learning and Search with Generative Models for Game-Theoretic Opponent Modeling

Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Paul Muller, Kate Larson, Yoram Bachrach, Michael P. Wellman

Asynchronous Credit Assignment for Multi-Agent Reinforcement Learning

Yongheng Liang, Hejun Wu, Haitao Wang, Hao Cai

Online Resource Sharing: Better Robust Guarantees via Randomized Strategies

David X. Lin, Daniel Hall, Giannis Fikioris, Siddhartha Banerjee, Éva Tardos

Odyssey : Empowering Minecraft Agents with Open-World Skills

Shunyu Liu, Yaoru Li, Kongcheng Zhang, Zhenyu Cui, Wenkai Fang, Yuxuan Zheng, Tongya Zheng, Mingli Song

Deep Learning-Based Pedestrian Simulation with Limited Real-World Training Data: An Evaluation Framework

Vahid Mahzoon, Abigail Liu, Slobodan Vucetic

Constructive Conflict-Driven Multi-Agent Reinforcement Learning for Strategic Diversity

Yuxiang Mai, Qiyue Yin, Wancheng Ni, Pei Xu, Kaiqi Huang

Beyond Winning Strategies: Admissible and Admissible Winning Strategies for Quantitative Reachability Games

Karan Muvvala, Qi Heng Ho, Morteza Lahijanian

Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences

Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran

Multi Objective Quantile Based Reinforcement Learning for Modern Urban Planning

Lukasz Pelcner, Leandro Soriano Marcolino, Matheus Aparecido do Carmo Alves, Paula A. Harrison, Peter M. Atkinson

Multi-Agent Corridor Generating Algorithm

Arseni Pertzovskiy, Roni Stern, Roie Zivan, Ariel Felner

Simulating Misinformation Diffusion on Social Media Through CoNVaI: A Textual- and Agent-Based Diffusion Model

Raquel Rodríguez-García, Roberto Centeno, Álvaro Rodrigo

Synthesis of Communication Policies for Multi-Agent Systems Robust to Communication Restrictions

Saleh Soudijani, Rayna Dimitrova

Streaming Multi-agent Pathfinding

Mingkai Tang, Lu Gan, Kaichen Zhang

Equitable Mechanism Design for Facility Location

Toby Walsh

Quantifying the Self-Interest Level of Markov Social Dilemmas

Richard Willis, Yali Du, Joel Z. Leibo, Michael Luck

CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models

Yi Zhan, Qi Liu, Weibo Gao, Zheng Zhang, Tianfu Wang, Shuanghong Shen, Junyu Lu, Zhenya Huang

Formal Synthesis of Safe Kolmogorov-Arnold Network Controllers with Barrier Certificates

Xiongqi Zhang, Ning Lv, Wang Lin, Zuohua Ding

MSMAR-RL: Multi-Step Masked-Attention Recovery Reinforcement Learning for Safe Maneuver Decision in High-Speed Pursuit-Evasion Game

Yang Zhao, Wenzhe Zhao, Xuelong Li

Wisdom from Diversity: Bias Mitigation Through Hybrid Human-LLM Crowds

Axel Abels, Tom Lenaerts

Improved Rank Aggregation Under Fairness Constraint

Diptarka Chakraborty, Himika Das, Sanjana Dey, Alvin Hong Yao Yan

Zero-Shot Machine Unlearning with Proxy Adversarial Data Generation

Huiqiang Chen, Tianqing Zhu, Xin Yu, Wanlei Zhou

Evaluating and Mitigating Linguistic Discrimination in Large Language Models: Perspectives on Safety Equity and Knowledge Equity

Guoliang Dong, Haoyu Wang, Jun Sun, Xinyu Wang

Cyclic Vision-Language Manipulator: Towards Reliable and Fine-Grained Image Interpretation for Automated Report Generation

Yingying Fang, Zihao Jin, Shaojie Guo, Jinda Liu, Zhiling Yue, Yijian Gao, Junzhi Ning, Zhi Li, Simon Walsh, Guang Yang

Efficient Counterexample-Guided Fairness Verification and Repair of Neural Networks Using Satisfiability Modulo Convex Programming

Arya Fayyazi, Yifeng Xiao, Pierluigi Nuzzo, Massoud Pedram

OMS: One More Step Noise Searching to Enhance Membership Inference Attacks for Diffusion Models

Xiaomeng Fu, Xi Wang, Qiao Li, Jin Liu, Jiao Dai, Jizhong Han, Xingyu Gao

Automated Detection of Pre-training Text in Black-box LLMs

Ruihan Hu, Yu-Ming Shang, Jiankun Peng, Wei Luo, Yazhe Wang, Xi Zhang

On Integrating Logical Analysis of Data into Random Forests

David Ing, Said Jabbour, Lakhdar Saïs

Modality-Fair Preference Optimization for Trustworthy MLLM Alignment

Songtao Jiang, Yan Zhang, Ruizhe Chen, Tianxiang Hu, Yeying Jin, Qinglin He, Yang Feng, Jian Wu, Zuozhu Liu

Counterfactual Strategies for Markov Decision Processes

Paul Kobialka, Lina Gerlach, Francesco Leofante, Erika Ábrahám, Silvia Lizeth Tapia Tarifa, Einar Broch Johnsen

Enhancing Sampling Protocol for Point Cloud Classification Against Corruptions

Chongshou Li, Pin Tang, Tianrui Li, Yuheng Liu, Xinke Li

Priority Guided Explanation for Knowledge Tracing with Dual Ranking and Similarity Consistency

Fan Li, Tiancheng Zhang, Yifang Yin, Minghe Yu, Mengxiang Wang, Ge Yu

FADE: Towards Fairness-aware Data Generation for Domain Generalization via Classifier-Guided Score-based Diffusion Models

Yujie Lin, Dong Li, Minglai Shao, Guihong Wan, Chen Zhao

Neuron Similarity-Based Neural Network Verification via Abstraction and Refinement

Yuehao Liu, Yansong Dong, Liang Zhao, Wensheng Wang, Cong Tian

VeRecycle: Reclaiming Guarantees from Probabilistic Certificates for Stochastic Dynamical Systems after Change

Sterre Lutz, Matthijs T.J. Spaan, Anna Lukina

Towards Safer Pretraining: Analyzing and Filtering Harmful Content in Webscale Datasets for Responsible LLMs

Sai Krishna Mendu, Harish Yenala, Aditi Gulati, Shanu Kumar, Parag Agrawal

Fast Explanations via Policy Gradient-Optimized Explainer

Deng Pan, Nuno Moniz, Nitesh V. Chawla

CABIN: Debiasing Vision-Language Models Using Backdoor Adjustments

Bo Pang, Tingrui Qiao, Caroline Walker, Chris Cunningham, Yun Sing Koh

Feint and Attack: Jailbreaking and Protecting LLMs via Attention Distribution Modeling

Rui Pu, Chaozhuo Li, Rui Ha, Zejian Chen, Litian Zhang, Zheng Liu, Lirong Qiu, Zaisheng Ye

SAP: Privacy-Preserving Fine-Tuning on Language Models with Split-and-Privatize Framework

Xicong Shen, Yang Liu, Yi Liu, Peiran Wang, Huiqi Liu, Jue Hong, Bing Duan, Zirui Huang, Yunlong Mao, Ye Wu, Sheng Zhong

ASCENT-ViT: Attention-based Scale-aware Concept Learning Framework for Enhanced Alignment in Vision Transformers

Sanchit Sinha, Guangzhi Xiong, Aidong Zhang

Unlocking the Potential of Lightweight Quantized Models for Deepfake Detection

Renshuai Tao, Ziheng Qin, Yifu Ding, Chuangchuang Tan, Jiakai Wang, Wei Wang

MVP-CBM: Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification

Chunjiang Wang, Kun Zhang, Yandong Liu, Zhiyang He, Xiaodong Tao, S. Kevin Zhou

Indirect Online Preference Optimization via Reinforcement Learning

En Wang, Xingyu Lin, Du Su, Chenfu Bao, Zhonghou Lv, Funing Yang, Yuanbo Xu, Wenbin Liu

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective

Xiaofei Wang, Mingliang Han, Tianyu Hao, Cegang Li, Yunbo Zhao, Keke Tang

fairGNN-WOD: Fair Graph Learning Without Complete Demographics

Zichong Wang, Fang Liu, Shimei Pan, Jun Liu, Fahad Saeed, Meikang Qiu, Wenbin Zhang

Towards Fairness with Limited Demographics via Disentangled Learning

Zichong Wang, Anqi Wu, Nuno Moniz, Shu Hu, Bart Knijnenburg, Xingquan Zhu, Wenbin Zhang

Weakly-supervised Audio Temporal Forgery Localization via Progressive Audio-language Co-learning Network

Junyan Wu, Wenbo Xu, Wei Lu, Xiangyang Luo, Rui Yang, Shize Guo

Explainable Graph Neural Networks via Structural Externalities

Lijun Wu, Dong Hao, Zhiyi Fan

Parameterized Approximation Algorithm for Doubly Constrained Fair Clustering

Xiaoliang Wu, Qilong Feng, Junyu Huang, Jianxin Wang

Fine-grained Prompt Screening: Defending Against Backdoor Attack on Text-to-Image Diffusion Models

Yiran Xu, Nan Zhong, Guobiao Li, Anda Cheng, Yinggui Wang, Zhenxing Qian, Xinpeng Zhang

FairSMOE: Mitigating Multi-Attribute Fairness Problem with Sparse Mixture-of-Experts

Changdi Yang, Zheng Zhan, Ci Zhang, Yifan Gong, Yize Li, Zichong Meng, Jun Liu, Xuan Shen, Hao Tang, Geng Yuan, Pu Zhao, Xue Lin, Yanzhi Wang

GraphProt: Certified Black-Box Shielding Against Backdoored Graph Models

Xiao Yang, Yuni Lai, Kai Zhou, Gaolei Li, Jianhua Li, Hang Zhang

Rethinking Removal Attack and Fingerprinting Defense for Model Intellectual Property Protection: A Frequency Perspective

Cheng Zhang, Yang Xu, Tingqiao Huang, Zixing Zhang

Causality-Inspired Disentanglement for Fair Graph Neural Networks

Guixian Zhang, Debo Cheng, Guan Yuan, Shang Liu, Yanmei Zhang

DFCA: Disentangled Feature Contrastive Learning and Augmentation for Fairer Dermatological Diagnostics

Pengcheng Zhao, Xiaowei Ding

Why the Agent Made that Decision: Contrastive Explanation Learning for Reinforcement Learning

Rui Zuo, Simon Khan, Zifan Wang, Garrett Ethan Katz, Qinru Qiu

Keypoints as Dynamic Centroids for Unified Human Pose and Segmentation

Niaz Ahmad, Jawad Khan, Kang G. Shin, Youngmoon Lee, Guanghui Wang

Top-I2P: Explore Open-Domain Image-to-Point Cloud Registration Using Topology Relationship

Pei An, Jiaqi Yang, Muyao Peng, You Yang, Qiong Liu, Jie Ma, Liangliang Nan

LensNet: An End-to-End Learning Framework for Empirical Point Spread Function Modeling and Lensless Imaging Reconstruction

Jiesong Bai, Yuhao Yin, Yihang Dong, Xiaofeng Zhang, Chi-Man Pun, Xuhang Chen

Towards Region-Adaptive Feature Disentanglement and Enhancement for Small Object Detection

Yanchao Bi, Yang Ning, Xiushan Nie, Xiankai Lu, Yongshun Gong, Leida Li

MCD-CLIP: Multi-view Chest Disease Diagnosis with Disentangled CLIP

Songyue Cai, Yujie Mo, Liang Peng, Yucheng Xie, Tao Tong, Xiaofeng Zhu

Towards VLM-based Hybrid Explainable Prompt Enhancement for Zero-Shot Industrial Anomaly Detection

Weichao Cai, Weiliang Huang, Yunkang Cao, Chao Huang, Fei Yuan, Bob Zhang, Jie Wen

IterMeme: Expert-Guided Multimodal LLM for Interactive Meme Creation with Layout-Aware Generation

Yaqi Cai, Shancheng Fang, Yadong Qu, Xiaorui Wang, Meng Shao, Hongtao Xie

A Medical Image Classification Network Based on Multi-View Consistent Momentum Contrastive Learning

Chuangui Cao, Shifei Ding, Lili Guo

The Devil is in Fine-tuning and Long-tailed Problems: A New Benchmark for Scene Text Detection

Tianjiao Cao, Jiahao Lyu, Weichao Zeng, Weimin Mu, Yu Zhou

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization

Yuanyuan Chang, Yinghua Yao, Tao Qin, Mengmeng Wang, Ivor Tsang, Guang Dai

MonoMixer: Marrying Convolution and Vision Transformer for Efficient Self-Supervised Monocular Depth Estimation

Zhiyong Chang, Yan Wang

Multi-View Learning with Context-Guided Receptance for Image Denoising

Binghong Chen, Tingting Chai, Wei Jiang, Yuanrong Xu, Guanglu Zhou, Xiangqian Wu

Inter3D: A Benchmark and Strong Baseline for Human-Interactive 3D Object Reconstruction

Gan Chen, Ying He, Mulin Yu, F.Richard Yu, Gang Xu, Fei Ma, Ming Li, Guang Zhou

Egocentric Object-Interaction Anticipation with Retentive and Predictive Learning

Guo Chen, Yifei Huang, Yin-dong Zheng, Yicheng Liu, Jiahao Wang, Tong Lu

Prompt-Aware Controllable Shadow Removal

Kerui Chen, Zhiliang Wu, Wenjin Hou, Kun Li, Hehe Fan, Yi Yang

Categorical Attention: Fine-grained Language-guided Noise Filtering Network for Occluded Person Re-Identification

Minghui Chen, Dayan Wu, Chenxu Yang, Qinghang Su, Zheng Lin

HSRMamba: Contextual Spatial-Spectral State Space Model for Single Hyperspectral Image Super-Resolution

Shi Chen, Lefei Zhang, Liangpei Zhang

DiffFERV: Diffusion-based Facial Editing of Real Videos

Xiangyi Chen, Han Xue, Li Song

Enhancing Mixture of Experts with Independent and Collaborative Learning for Long-Tail Visual Recognition

Yanhao Chen, Zhongquan Jian, Nianxin Ke, Shuhao Hu, Junjie Jiao, Qingqi Hong, Qingqiang Wu

MC3D-AD: A Unified Geometry-aware Reconstruction Model for Multi-category 3D Anomaly Detection

Jiayi Cheng, Can Gao, Jie Zhou, Jiajun Wen, Tao Dai, Jinbao Wang

AccCtr: Accelerating Training-Free Conditional Control For Diffusion Models

Longquan Dai, He Wang, Yiming Zhang, Shaomeng Wang, Jinhui Tang

DIIN: Diffusion Iterative Implicit Networks for Arbitrary-scale Super-resolution

Tao Dai, Song Wang, Hang Guo, Jianping Wang, Zexuan Zhu

External Memory Matters: Generalizable Object-Action Memory for Retrieval-Augmented Long-Term Video Understanding

Jisheng Dang, Huicheng Zheng, Xudong Wu, Jingmei Jiao, Bimei Wang, Jun Yang, Bin Hu, Jianhuang Lai, Tat Seng Chua

Diff-LMM: Diffusion Teacher-Guided Spatio-Temporal Perception for Video Large Multimodal Models

Jisheng Dang, Ligen Chen, Jingze Wu, Ronghao Lin, Bimei Wang, Yun Wang, Liting Wang, Nannan Zhu, Teng Wang

VidEvo: Evolving Video Editing through Exhaustive Temporal Modeling

Sizhe Dang, Huan Liu, Mengmeng Wang, Xin Lai, Guang Dai, Jingdong Wang

Global Information Compensation Network for Image Denoising

Shifei Ding, Qidong Wang, Lili Guo

GSDet: Gaussian Splatting for Oriented Object Detection

Zeyu Ding, Jiaqi Zhao, Yong Zhou, Wen-liang Du, Hancheng Zhu, Rui Yao

Template-based Uncertainty Multimodal Fusion Network for RGBT Tracking

Zhaodong Ding, Chenglong Li, Shengqing Miao, Jin Tang

Dual-level Fuzzy Learning with Patch Guidance for Image Ordinal Regression

Chunlai Dong, Haochao Ying, Qibo Qiu, Jinhong Wang, Danny Chen, Jian Wu

Richer Semantics, Better Alignment: Aligning Visual Features with Explicit and Enriched Semantics for Visible-Infrared Person Re-Identification

Neng Dong, Shuanglin Yan, Liyan Zhang, Jinhui Tang

Mask Does Not Matter: A Unified Latent Diffusion-Enhanced Framework for Mask-Free Virtual Try-On

Chenghu Du, Junyin Wang, Kai Liu, Shengwu Xiong, Yi Rong

Unleashing the Semantic Adaptability of Controlled Diffusion Model for Image Colorization

Xiangcheng Du, Zhao Zhou, Yanlong Wang, Yingbin Zheng, Xingjiao Wu, Peizhu Gong, Cheng Jin

MAGE: Multimodal Alignment and Generation Enhancement via Bridging Visual and Semantic Spaces

Shaojun E, Yuchen Yang, Jiaheng Wu, Yan Zhang, Tiejun Zhao, Ziyan Chen

Multi-Modal Point Cloud Completion with Interleaved Attention Enhanced Transformer

Chenghao Fang, Jianqing Liang, Jiye Liang, Hangkun Wang, Kaixuan Yao, Feilong Cao

Adaptive Language-Aware Image Reflection Removal Network

Siyan Fang, Yuntao Wang, Jinpu Zhang, Ziwen Li, Yuehuan Wang

Efficient Hi-Fi Style Transfer via Statistical Attention and Modulation

Zhirui Fang, Yi Li, Xin Xie, Chengyan Li, Yanqing Guo

2D Gaussian Splatting for Outdoor Scene Decomposition and Relighting

Wei Feng, Kangrui Ye, Qi Zhang, Qian Zhang, Nan Li

Active Multimodal Distillation for Few-shot Action Recognition

Weijia Feng, Yichen Zhu, Ruojia Zhang, Chenyang Wang, Fei Ma, Xiaobao Wang, Xiaobai Li

Mixture-of-Queries Transformer: Camouflaged Instance Segmentation via Queries Cooperation and Frequency Enhancement

Weiwei Feng, Nanqing Xu, Tengfei Liu, Weiqiang Wang

DepthART: Monocular Depth Estimation as Autoregressive Refinement Task

Bulat Gabdullin, Nina Konovalova, Nikolay Patakin, Dmitry Senushkin, Anton Konushin

Reliable and Diverse Hierarchical Adapter for Zero-shot Video Classification

Wenxuan Ge, Peng Huang, Rui Yan, Hongyu Qu, Guosen Xie, Xiangbo Shu

Base-Detail Feature Learning Framework for Visible-Infrared Person Re-Identification

Zhihao Gong, Lian Wu, Yong Xu

DDPA-3DVG: Vision-Language Dual-Decoupling and Progressive Alignment for 3D Visual Grounding

Hongjie Gu, Jinlong Fan, Liang Zheng, Jing Zhang, Yuxiang Yang

GPI-Net: Gestalt-Guided Parallel Interaction Network via Orthogonal Geometric Consistency for Robust Point Cloud Registration

Weikang Gu, Mingyue Han, Li Xue, Heng Dong, Changcai Yang, Riqing Chen, Lifang Wei

Shaping a Stabilized Video by Mitigating Unintended Changes for Concept-Augmented Video Editing

Mingce Guo, Jingxuan He, Yufei Yin, Zhangye Wang, Shengeng Tang, Lechao Cheng

DcDsDiff: Dual-Conditional and Dual-Stream Diffusion Model for Generative Image Tampering Localization

Qixian Hao, Shaozhang Niu, Jiwei Zhang, Kai Wang

Exploiting Position Information in Convolutional Kernels for Structural Re-parameterization

Tianxiang Hao, Hui Chen, Guiguang Ding

Beyond Feature Mapping GAP: Integrating Real HDRTV Priors for Superior SDRTV-to-HDRTV Conversion

Gang He, Kepeng Xu, Li Xu, Wenxin Yu, Xianyun Wu

Incorporating Visual Experts to Resolve the Information Loss in Multimodal Large Language Models

Xin He, Longhui Wei, Lingxi Xie, Qi Tian

INT: Instance-Specific Negative Mining for Task-Generic Promptable Segmentation

Jian Hu, Zixu Cheng, Shaogang Gong

RLMiniStyler: Light-weight RL Style Agent for Arbitrary Sequential Neural Style Generation

Jing Hu, Chengming Feng, Shu Hu, Ming-Ching Chang, Xin Li, Xi Wu, Xin Wang

Boosting Visual Knowledge-Intensive Training for LVLMs Through Causality-Driven Visual Object Completion

Qingguo Hu, Ante Wang, Jia Song, Delai Qiu, Qingsong Liu, Jinsong Su

Poisoning-based Backdoor Attacks for Arbitrary Target Label with Positive Triggers

Binxiao Huang, Ngai Wong

Hybrid Mesh-Gaussian Representation for Efficient Indoor Scene Reconstruction

Binxiao Huang, Zhihao Li, Shiyong Liu, Xiao Tang, Jiajun Tang, Jiaqi Lin, Yuxin Cheng, Zhenyu Chen, Xiaofei Wu, Ngai Wong

Omni-Dimensional State Space Model-driven SAM for Pixel-level Anomaly Detection

Chao Huang, Qianyi Li, Jie Wen, Bob Zhang

Progressive Modality-Adaptive Interactive Network for Multi-Modality Image Fusion

Chaowei Huang, Yaru Su, Huangbiao Xu, Xiao Ke

Spotlighting Partially Visible Cinematic Language for Video-to-Audio Generation via Self-distillation

Feizhen Huang, Yu Wu, Yutian Lin, Bo Du

ADC-GS: Anchor-Driven Deformable and Compressed Gaussian Splatting for Dynamic Scene Reconstruction

He Huang, Qi Yang, Mufan Liu, Yiling Xu, Zhu Li

VimGeo: Efficient Cross-View Geo-Localization with Vision Mamba Architecture

Jinglin Huang, Maoqiang Wu, Peichun Li, Wen Wu, Rong Yu

Volumetric Axial Disentanglement Enabling Advancing in Medical Image Segmentation

Xingru Huang, Jian Huang, Yihao Guo, Tianyun Zhang, Zhao Huang, Yaqi Wang, Ruipu Tang, Guangliang Cheng, Shaowei Jiang, Zhiwen Zheng, Jin Liu, Renjie Ruan, Xiaoshuai Zhang

Human Motion Capture from Loose and Sparse Inertial Sensors with Garment-aware Diffusion Models

Andela Ilic, Jiaxi Jiang, Paul Streli, Xintong Liu, Christian Holz

Optical Flow Estimation for Tiny Objects: New Problem, Specialized Benchmark, and Bioinspired Scheme

Xueyao Ji, Gang Wang, Yizheng Wang

SeqPose: An End-to-End Framework to Unify Single-frame and Video-based RGB Category-Level Pose Estimation

Yuzhu Ji, Mingshan Sun, Jianyang Shi, Xiaoke Jiang, Yiqun Zhang, Haijun Zhang

IE-PMMA:Point Cloud Completion Through Inverse Edge-aware Upsampling and Precise Multi-Modal Feature Alignment

Ran Jia, Junpeng Xue, Shuai Ma, Wenbo Lu, Kelei Wang

Concentrate on Weakness: Mining Hard Prototypes for Few-Shot Medical Image Segmentation

Jianchao Jiang, Haofeng Zhang

Always Clear Depth: Robust Monocular Depth Estimation Under Adverse Weather

Kui Jiang, Jing Cao, Zhaocheng Yu, Junjun Jiang, Jingchun Zhou

Exploring the Frontiers of Animation Video Generation in the Sora Era: Method, Dataset and Benchmark

Yudong Jiang, Baohan Xu, Siqian Yang, Mingyu Ying, Jing Liu, Chao Xu, Siqi Wang, Yidi Wu, Bingwen Zhu, Yue Zhang, Jinlong Hou, Huyang Sun

Object-Level Backdoor Attacks in RGB-T Semantic Segmentation with Cross-Modality Trigger Optimization

Xianghao Jiao, Di Wang, Jiawei Liang, Jianjie Huang, Wei Wang, Xiaochun Cao

Seeing the Unseen: Composing Outliers for Compositional Zero-Shot Learning

Chenchen Jing, Mingyu Liu, Hao Chen, Yuling Xi, Xingyuan Bu, Dong Gong, Chunhua Shen

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block

Luoxi Jing, Dianxi Shi, Zhe Liu, Songchang Jin, Chunping Qiu, Ziteng Qiao, Yuxian Li, Jianqiang Xia

Projection, Interaction and Fusion: A Progressive Difference Fusion Network for Salient Object Detection

Xiao Ke, Weijie Zhou, Yuzhen Niu

Data Poisoning Attack Defense and Evolutionary Domain Adaptation for Federated Medical Image Segmentation

Min Hyuk Kim, Seok Bong Yoo

SSTrack: Sample-interval Scheduling for Lightweight Visual Object Tracking

Yutong Kou, Shubo Lin, Liang Li, Bing Li, Weiming Hu, Jin Gao

Online 3D Gaussian Splatting Modeling with Novel View Selection

Byeonggwon Lee, Junkyu Park, Khang Truong Giang, Soohwan Song

Curriculum Hierarchical Knowledge Distillation for Bias-Free Survival Prediction

Chaozhuo Li, Zhihao Tang, Mingji Zhang, Zhiquan Liu, Litian Zhang, Xi Zhang

Multi-Sourced Compositional Generalization in Visual Question Answering

Chuanhao Li, Wenbo Ye, Zhen Li, Yuwei Wu, Yunde Jia

Few-shot Novel Category Discovery

Chunming Li, Shidong Wang, Haofeng Zhang

Learnable Frequency Decomposition for Image Forgery Detection and Localization

Dong Li, Jiayíng Zhu, Yidi Liu, Xin Lu, Xueyang Fu, Jiawei Liu, Aiping Liu, Zheng-Jun Zha

Exploring Efficient and Effective Sequence Learning for Visual Object Tracking

Dongdong Li, Zhinan Gao, Yangliu Kuai, Rui Chen

Towards Regularized Mixture of Predictions for Class-Imbalanced Semi-Supervised Facial Expression Recognition

Hangyu Li, Yixin Zhang, Jiangchao Yao, Nannan Wang, Bo Han

ESBN: Estimation Shift of Batch Normalization for Source-free Universal Domain Adaptation

Jiao Li, Houcheng Su, Bingli Wang, Yuandong Min, Mengzhu Wang, Nan Yin, Shanshan Wang, Jingcai Guo

Preventing Latent Diffusion Model-Based Image Mimicry via Angle Shifting and Ensemble Learning

Minghao Li, Rui Wang, Ming Sun, Lihua Jing

Tackling Long-Tailed Data Challenges in Spiking Neural Networks via Heterogeneous Knowledge Distillation

Moqi Li, Xu Yang, Cheng Deng

Temporal Consistency Constrained Transferable Adversarial Attacks with Background Mixup for Action Recognition

Ping Li, Jianan Ni, Bo Pang

Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking

Shenglan Li, Rui Yao, Yong Zhou, Hancheng Zhu, Kunyang Sun, Bing Liu, Zhiwen Shao, Jiaqi Zhao

The Role of Video Generation in Enhancing Data-Limited Action Understanding

Wei Li, Dezhao Luo, Dongbao Yang, Zhenhang Li, Weiping Wang, Yu Zhou

Hypernetwork Aggregation for Decentralized Personalized Federated Learning

Weishi Li, Yong Peng, Mengyao Du, Fuhui Sun, Xiaoyan Wang, Li Shen

Free Lunch of Image-mask Alignment for Anomaly Image Generation and Segmentation

Xiangyue Li, Xiaoyang Wang, Zhibin Wan, Quan Zhang, Yupei Wu, Tao Deng, Mingjie Sun

GarmentDiffusion: 3D Garment Sewing Pattern Generation with Multimodal Diffusion Transformers

Xinyu Li, Qi Yao, Yuanda Wang

Towards Anytime Retrieval: A Benchmark for Anytime Person Re-Identification

Xulin Li, Yan Lu, Bin Liu, Jiaze Li, Qinhong Yang, Tao Gong, Qi Chu, Mang Ye, Nenghai Yu

Counterfactual Knowledge Maintenance for Unsupervised Domain Adaptation

Yao Li, Yong Zhou, Jiaqi Zhao, Wen-liang Du, Rui Yao, Bing Liu

Graph Prompts: Adapting Video Graph for Video Question Answering

Yiming Li, Xiaoshan Yang, Bing-Kun Bao, Changsheng Xu

A Dual Stream Visual Tokenizer for LLM Image Generation

Yongqian Li, Yong Luo, Xiantao Cai, Zheng He, Zhennan Meng, Nidong Wang, Yunlin Chen, Zhifei Li

A Timestep-Adaptive Frequency-Enhancement Framework for Diffusion-based Image Super-Resolution

Yueying Li, Hanbin Zhao, Jiaqing Zhou, Guozhi Xu, Tianlei Hu, Gang Chen, Haobo Wang

Semantic-Space-Intervened Diffusive Alignment for Visual Classification

Zixuan Li, Lei Meng, Guoqing Chao, Wei Wu, Yimeng Yang, Xiaoshuo Yan, Zhuang Qi, Xiangxu Meng

Physical Adversarial Camouflage Through Gradient Calibration and Regularization

Jiawei Liang, Siyuan Liang, Jianjie Huang, Chenxi Si, Ming Zhang, Xiaochun Cao

PatternCIR Benchmark and TisCIR: Advancing Zero-Shot Composed Image Retrieval in Remote Sensing

Zhechun Liang, Tao Huang, Fangfang Wu, Shiwen Xue, Zhenyu Wang, Weisheng Dong, Xin Li, Guangming Shi

MGCA-Net: Multi-Graph Contextual Attention Network for Two-View Correspondence Learning

Shuyuan Lin, Mengtin Lo, Haosheng Chen, Yanjie Liang, Qiangqiang Wu

GLDiTalker: Speech-Driven 3D Facial Animation with Graph Latent Diffusion Transformer

Yihong Lin, Zhaoxin Fan, Xianjia Wu, Lingyu Xiong, Xiandong Li, Wenxiong Kang, Liang Peng, Songju Lei, Huang Xu

Language-Guided Hybrid Representation Learning for Visual Grounding on Remote Sensing Images

Biao Liu, Xu Liu, Lingling Li, Licheng Jiao, Fang Liu, Xinyu Sun, Youlin Huang

TextMEF: Text-guided Prompt Learning for Multi-exposure Image Fusion

Jinyuan Liu, Qianjun Huang, Guanyao Wu, Di Wang, Zhiying Jiang, Long Ma, Risheng Liu, Xin Fan

SyncGaussian: Stable 3D Gaussian-Based Talking Head Generation with Enhanced Lip Sync via Discriminative Speech Features

Ke Liu, Jiwei Wei, Shiyuan He, Zeyu Ma, Chaoning Zhang, Ning Xie, Yang Yang

Learning Real Facial Concepts for Independent Deepfake Detection

Ming-Hui Liu, Harry Cheng, Tianyi Wang, Xin Luo, Xin-Shun Xu

Fusion of Granular-Ball Visual Spatial Representations for Enhanced Facial Expression Recognition

Shuaiyu Liu, Qiyao Shen, Yunxi Wang, Yazhou Ren, Guoyin Wang

Squeezing Context into Patches: Towards Memory-Efficient Ultra-High Resolution Semantic Segmentation

Wang Liu, Puhong Duan, Xudong Kang, Shutao Li

Denoise-then-Retrieve: Text-Conditioned Video Denoising for Video Moment Retrieval

Weijia Liu, Jiuxin Cao, Bo Miao, Zhiheng Fu, Xuelin Zhu, Jiawei Ge, Bo Liu, Mehwish Nasim, Ajmal Mian

SOTA: Spike-Navigated Optimal TrAnsport Saliency Region Detection in Composite-bias Videos

Wenxuan Liu, Yao Deng, Kang Chen, Xian Zhong, Zhaofei Yu, Tiejun Huang

Template3D-AD: Point Cloud Template Matching Method Based on Center Points for 3D Anomaly Detection

Yi Liu, Changsheng Zhang, Yufei Yang

From Sparse to Complete: Semantic Understanding Based on Stroke Evolution in On-the-fly Sketch-based Image Retrieval

Yingge Liu, Dawei Dai, Xiangling Hou, Shilin Zhao, Guoyin Wang

OT-DETECTOR: Delving into Optimal Transport for Zero-shot Out-of-Distribution Detection

Yu Liu, Hao Tang, Haiqi Zhang, Jing Qin, Zechao Li

SyncAnimation: A Real-Time End-to-End Framework for Audio-Driven Human Pose and Talking Head Animation

Yujian Liu, Shidang Xu, Jing Guo, Dingbin Wang, Zairan Wang, Xianfeng Tan, Xiaoli Liu

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution

Zihang Liu, Zhenyu Zhang, Hao Tang

Wavelet Multi-scale Region-Enhanced Network for Medical Image Segmentation

Hang Lu, Liang Du, Peng Zhou

EDyGS: Event Enhanced Dynamic 3D Radiance Fields from Blurry Monocular Video

Mengxu Lu, Zehao Chen, Yan Liu, De Ma, Huajin Tang, Qian Zheng, Gang Pan

Rotation Invariant Spatial Networks for Single-View Point Cloud Classification

Feng Luan, Jiarui Hu, Changshi Zhou, Zhipeng Wang, Jiguang Yue, Yanmin Zhou, Bin He

PanComplex: Leveraging Complex-Valued Neural Networks for Enhanced Pansharpening

Chunhui Luo, Dong Li, Xiaoliang Ma, Xin Lu, Zhiyuan Wang, Jiangtong Tan, Xueyang Fu

CrossVTON: Mimicking the Logic Reasoning on Cross-Category Virtual Try-On Guided by Tri-Zone Priors

Donghao Luo, Yujie Liang, Xu Peng, Xiaobin Hu, Boyuan Jiang, Chengming Xu, Taisong Jin, Chengjie Wang, Yanwei Fu

Self-calibration Enhanced Whole Slide Pathology Image Analysis

Haoming Luo, Xiaotian Yu, Shengxuming Zhang, Jiabin Xia, Jian Yang, Yuning Sun, Xiuming Zhang, Jing Zhang, Zunlei Feng

Noise Optimized Conditional Diffusion for Domain Adaptation

Lingkun Luo, Shiqiang Hu, Liming Chen

SE(3)-Equivariant Diffusion Models for 3D Object Analysis

Xie Min, Zhao Jieyu, Shen Kedi, Chen Kangxin

Towards Robust Deterministic and Probabilistic Modeling for Predictive Learning

Xuesong Nie, Haoyuan Jin, Vijayakumar Bhagavatula, Xiaofeng Liu

Stabilizing Holistic Semantics in Diffusion Bridge for Image Inpainting

Jinjia Peng, Mengkai Li, Huibing Wang

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration

Long Peng, Xin Di, Zhanfeng Feng, Wenbo Li, Renjing Pei, Yang Wang, Xueyang Fu, Yang Cao, Zheng-Jun Zha

EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR

Zhengyuan Peng, Jianqing Xu, Shen Li, Jiazhen Ji, Yuge Huang, Jingyun Zhang, Jinmin Li, Shouhong Ding, Rizen Guo, Xin Tan, Lizhuang Ma

Accelerating Diffusion-based Super-Resolution with Dynamic Time-Spatial Sampling

Rui Qin, Qijie Wang, Ming Sun, Haowei Zhu, Chao Zhou, Bin Wang

EfficientPIE: Real-Time Prediction on Pedestrian Crossing Intention with Sole Observation

Fang Qu, Pengzhan Zhou, Yuepeng He, Kaixin Gao, Youyu Luo, Xin Feng, Yu Liu, Songtao Guo

Multimodal Cancer Survival Analysis via Hypergraph Learning with Cross-Modality Rebalance

Mingcheng Qu, Guang Yang, Donglin Di, Tonghua Su, Yue Gao, Yang Song, Lei Fan

ExpTalk: Diverse Emotional Expression via Adaptive Disentanglement and Refined Alignment for Speech-Driven 3D Facial Animation

Zhan Qu, Shengyu Zhang, Mengze Li, Zhuo Chen, Chengfei Lv, Zhou Zhao, Fei Wu

K-Buffers: A Plug-in Method for Enhancing Neural Fields with Multiple Buffers

Haofan Ren, Zunjie Zhu, Xiang Chen, Ming Lu, Rongfeng Lu, Chenggang Yan

Q-MiniSAM2: A Quantization-based Benchmark for Resource-Efficient Video Segmentation

Xuanxuan Ren, Xiangyu Li, Kun Wei, Xu Yang, Yanhua Yang

RDPA: Real-Time Distributed-Concentrated Penetration Attack for Point Cloud Learning

Youtong Shi, Lixin Chen, Yu Zang, Chenhui Yang, Cheng Wang

BankTweak: Adversarial Attack Against Multi-Object Trackers by Manipulating Feature Banks

Woojin Shin, Donghwa Kang, Daejin Choi, Brent Byunghoon Kang, Jinkyu Lee, Hyeongboo Baek

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval

Naoya Sogi, Takashi Shibata, Makoto Terao, Masanori Suganuma, Takayuki Okatani

MultiDreamer3D: Multi-concept 3D Customization with Concept-Aware Diffusion Guidance

Wooseok Song, Seunggyu Chang, Jaejun Yoo

CMFS: CLIP-Guided Modality Interaction for Mitigating Noise in Multi-Modal Image Fusion and Segmentation

Guilin Su, Yuqing Huang, Chao Yang, Zhenyu He

Coming Out of the Dark: Human Pose Estimation in Low-light Conditions

Yong Su, Defang Chen, Meng Xing, Changjae Oh, Xuewei Liu, Jieyang Li

Outstanding Orthodontist: No More Artifactual Teeth in Talking Face

Zibo Su, Ziqi Zhang, Kun Wei, Xu Yang, Cheng Deng

Understanding Visual Detail Hallucinations of Large Vision-Language Models

Xiaoxi Sun, Jianxin Liang, Yueqian Wang, Huishuai Zhang, Dongyan Zhao

Dual-Perspective United Transformer for Object Segmentation in Optical Remote Sensing Images

Yanguang Sun, Jiexi Yan, Jianjun Qian, Chunyan Xu, Jian Yang, Lei Luo

SketchAgent: Generating Structured Diagrams from Hand-Drawn Sketches

Cheng Tan, Qi Chen, Jingxuan Wei, Gaowei Wu, Zhangyang Gao, Siyuan Li, Bihui Yu, Ruifeng Guo, Stan Z. Li

Wave-wise Discriminative Tracking by Phase-Amplitude Separation, Augmentation and Mixture

Huibin Tan, Mingyu Cao, Kun Hu, Xihuai He, Zhe Wang, Hao Li, Long Lan, Mengzhu Wang

BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module

Dongzhihan Wang, Yang Yang, Xuyang Chen, Liang Xu

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation

Haoyu Wang, Lei Zhang, Wei Wei, Chen Ding, Yanning Zhang

ForgDiffuser: General Image Forgery Localization with Diffusion Models

Mengxi Wang, Shaozhang Niu, Jiwei Zhang

Gaussian Mixture Model for Graph Domain Adaptation

Mengzhu Wang, Wenhao Ren, Yu Zhang, Yanlong Fan, Dianxi Shi, Luoxi Jing, Nan Yin

Reliable and Calibrated Semantic Occupancy Prediction by Hybrid Uncertainty Learning

Song Wang, Zhongdao Wang, Jiawei Yu, Wentong Li, Bailan Feng, Junbo Chen, Jianke Zhu

Self-supervised End-to-end ToF Imaging Based on RGB-D Cross-modal Dependency

Weihang Wang, Jun Wang, Fei Wen

Distributed Cascaded Manifold Hashing Network for Compact Image Set Representation

Xiaxin Wang, Haoyu Cai, Xiaobo Shen, Xia Wu

METOR: A Unified Framework for Mutual Enhancement of Objects and Relationships in Open-vocabulary Video Visual Relationship Detection

Yongqi Wang, Xinxiao Wu, Shuo Yang

MSCI: Addressing CLIP's Inherent Limitations for Compositional Zero-Shot Learning

Yue Wang, Shuai Xu, Xuelin Zhu, Yicong Li

ProMEA: Prompt-driven Expansion and Alignment for Single Domain Generalization

Yunyun Wang, Yi Guo, Xiaodong Liu, Songcan Chen

Boosting Zero-shot Stereo Matching Using Large-Scale Mixed Images Sources in the Real World

Yuran Wang, Yingping Liang, Ying Fu

Deep Opinion-Unaware Blind Image Quality Assessment by Learning and Adapting from Multiple Annotators

Zhihua Wang, Xuelin Liu, Jiebin Yan, Jie Wen, Wei Wang, Chao Huang

Few-Shot Incremental Multi-modal Learning via Touch Guidance and Imaginary Vision Synthesis

Lina Wei, Yuhang Ma, Zhongsheng Lin, Fangfang Wang, Canghong Jin, Hanbin Zhao, Dapeng Chen

Indirect Alignment and Relationship Preservation for Domain Generalization

Wei Wei, Zixiong Li, Jing Yan, Mingwen Shao, Lin Li

Drafting and Revision: Advancing High-Fidelity Video Inpainting

Zhiliang Wu, Kun Li, Hehe Fan, Yi Yang

Seeking Proxy Point via Stable Feature Space for Noisy Correspondence Learning

Yucheng Xie, Songyue Cai, Tao Tong, Ping Hu, Xiaofeng Zhu

TP-Eval: Tap Multimodal LLMs' Potential in Evaluation by Customizing Prompts

Yuxuan Xie, Tianhua Li, Wenqi Shao, Kaipeng Zhang

Spatial-Spectral Similarity-Guided Fusion Network for Pansharpening

Jiazhuang Xiong, Yongshan Zhang, Xinxin Wang, Lefei Zhang

Unleashing the Potential of Transformer Flow for Photorealistic Face Restoration

Kepeng Xu, Li Xu, Gang He, Wei Chen, Xianyun Wu, Wenxin Yu

ElaD-Net: An Elastic Semantic Decoupling Network for Lesion Segmentation in Breast Ultrasound Images

Lijuan Xu, Kai Wang, Fuqiang Yu, Fenghua Tong, Mengran Li, Dawei Zhao

Advancing Stain Transfer for Multi-Biomarkers: A Human Annotation-Free Method Based on Auxiliary Task Supervision

Siyuan Xu, Haofei Song, Yingjiao Deng, Jiansheng Wang, Yan Wang, Qingli Li

Pre-defined Keypoints Promote Category-level Articulation Pose Estimation via Multi-Modal Alignment

Wenbo Xu, Li Zhang, Liu Liu, Yan Zhong, Haonan Jiang, Xue Wang, Rujing Wang

Low-Light Video Enhancement via Spatial-Temporal Consistent Decomposition

Xiaogang Xu, Kun Zhou, Tao Hu, Jiafei Wu, Ruixing Wang, Hao Peng, Bei Yu

TEST-V: TEst-time Support-set Tuning for Zero-shot Video Classification

Rui Yan, Jin Wang, Hongyu Qu, Xiaoyu Du, Dong Zhang, Jinhui Tang, Tieniu Tan

Cross-modal Collaborative Representation Learning for Text-to-Image Person Retrieval

Shuanglin Yan, Jun Liu, Neng Dong, Liyan Zhang, Jinhui Tang

Frequency-Aware Deep Depth from Focus

Tao Yan, Yingying Wang, Jiangfeng Zhang, Yuhua Qian, Jieru Jia, Lu Chen, Feijiang Li

SCOUT: Semi-supervised Camouflaged Object Detection by Utilizing Text and Adaptive Data Selection

Weiqi Yan, Lvhai Chen, Shengchuan Zhang, Yan Zhang, Liujuan Cao

Leveraging MLLM Embeddings and Attribute Smoothing for Compositional Zero-Shot Learning

Xudong Yan, Songhe Feng, Yang Zhang, Jian Yang, Yueguan Lin, Haojun Fei

AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing

Biao Yang, Muqi Huang, Yuhui Zhang, Yun Xiong, Kun Zhou, Xi Chen, Shiyang Zhou, Huishuai Bao, Chuan Li, Feng Shi, Hualei Liu

Unlocking Dark Vision Potential for Medical Image Segmentation

Hongpeng Yang, Xiangyu Hu, Yingxin Chen, Siyu Chen, Srihari Nelakuditi, Yan Tong, Shiqiang Ma, Fei Guo

Multimodal Image Matching Based on Cross-Modality Completion Pre-training

Meng Yang, Fan Fan, Jun Huang, Yong Ma, Xiaoguang Mei, Zhanchuan Cai, Jiayi Ma

RAMer: Reconstruction-based Adversarial Model for Multi-party Multi-modal Multi-label Emotion Recognition

Xudong Yang, Yizhang Zhu, Hanfeng Liu, Zeyi Wen, Nan Tang, Yuyu Luo

DPMamba: Distillation Prompt Mamba for Multimodal Remote Sensing Image Classification with Missing Modalities

Yueguang Yang, Jiahui Qu, Ling Huang, Wenqian Dong

Do You Steal My Model? Signature Diffusion Embedded Dual-Verification Watermarking for Protecting Intellectual Property of Hyperspectral Image Classification Models

Yufei Yang, Song Xiao, Lixiang Li, Wenqian Dong, Jiahui Qu

BEVTrack: A Simple and Strong Baseline for 3D Single Object Tracking in Bird's-Eye View

Yuxiang Yang, Yingqi Deng, Mian Pan, Zheng-Jun Zha, Jing Zhang

DriftRemover: Hybrid Energy Optimizations for Anomaly Images Synthesis and Segmentation

Siyue Yao, Haotian Xu, Mingjie Sun, Siyue Yu, Jimin Xiao, Eng Gee Lim

VQCounter: Designing Visual Prompt Queue for Accurate Open-World Counting

Fanfan Ye, Yiqi Fan, Qiaoyong Zhong, Shicai Yang, Di Xie, Jie Song, Mingli Song

HIPP: Protecting Image Privacy via High-Quality Reversible Protected Version

Xi Ye, Lina Wang, Run Wang, Jiatong Liu, Geying Yang

Self-Classification Enhancement and Correction for Weakly Supervised Object Detection

Yufei Yin, Lechao Cheng, Wengang Zhou, Jiajun Deng, Zhou Yu, Houqiang Li

SCVBench: A Benchmark with Multi-turn Dialogues for Story-Centric Video Understanding

Sisi You, Bowen Yuan, Bing-Kun Bao

INFP: INdustrial Video Anomaly Detection via Frequency Prioritization

Qianzi Yu, Kai Zhu, Yang Cao, Yu Kang

Brain-Inspired Stepwise Patch Merging for Vision Transformers

Yonghao Yu, Dongcheng Zhao, Guobin Shen, Yiting Dong, Yi Zeng

DToMA: Training-free Dynamic Token MAnipulation for Long Video Understanding

Bowen Yuan, Sisi You, Bing-Kun Bao

Denoising Diffusion Models are Good General Gaze Feature Learners

Guanzhong Zeng, Jingjing Wang, Pengwei Yin, Zefu Xu, Mingyang Zhou

Point Cloud Mixture-of-Domain-Experts Model for 3D Self-supervised Learning

Yaohua Zha, Tao Dai, Hang Guo, Yanzi Wang, Bin Chen, Ke Chen, Shu-Tao Xia

Exploring Semantic Masked Autoencoder for Self-supervised Point Cloud Understanding

Yixin Zha, Chuxin Wang, Wenfei Yang, Tianzhu Zhang

G3PT: Unleash the Power of Autoregressive Modeling in 3D Generation via Cross-Scale Querying Transformer

Jinzhi Zhang, Feng Xiong, Guangyu Wang, Mu Xu

Multimodal Prior Learning with Double Constraint Alignment for Snapshot Spectral Compressive Imaging

Mingjin Zhang, Longyi Li, Fei Gao, Qiming Zhang, Jie Guo

Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly

Ruiyuan Zhang, Qi Wang, Jiaxiang Liu, Yuchi Huo, Chao Wu

CSF-GAN: Cross-modal Semantic Fusion-based Generative Adversarial Network for Text-guided Image Inpainting

Shilin Zhang, Suixue Wang, Qingchen Zhang, Liang Zhao, Weiliang Huo, Sijia Hou, Chunjiang Fu

Training-free Fourier Phase Diffusion for Style Transfer

Siyuan Zhang, Wei Ma, Libin Liu, Zheng Li, Hongbin Zha

HyperTrans: Efficient Hypergraph-Driven Cross-Domain Pattern Transfer in Image Anomaly Detection

Tengyu Zhang, Deyu Zeng, Baoqiang Li, Wei Wang, Wei Liu, Zongze Wu

Towards Micro-Action Recognition with Limited Annotations: An Asynchronous Pseudo Labeling and Training Approach

Yan Zhang, Lechao Cheng, Yaxiong Wang, Zhun Zhong, Meng Wang

Optimized View and Geometry Distillation from Multi-view Diffuser

Youjia Zhang, Zikai Song, Junqing Yu, Yawei Luo, Wei Yang

GraphAD: Interaction Scene Graph for End-to-end Autonomous Driving

Yunpeng Zhang, Deheng Qian, Ding Li, Yifeng Pan, Yong Chen, Zhenbao Liang, Zhiyao Zhang, Yingzong Liu, Jianhui Mei, Maolei Fu, Yun Ye, Zhujin Liang, Yi Shan, Dalong Du

Efficient Visual Representation Learning with Heat Conduction Equation

Zhemin Zhang, Xun Gong

Balancing Invariant and Specific Knowledge for Domain Generalization with Online Knowledge Distillation

Di Zhao, Jingfeng Zhang, Hongsheng Hu, Philippe Fournier-Viger, Gillian Dobbie, Yun Sing Koh

Bi-DiffCD: Bidirectional Diffusion Guided Collaborative Change Detection for Arbitrary-Modal Remote Sensing Images

Jingyu Zhao, Jiahui Qu, Wenqian Dong

Enhancing Multimodal Model Robustness Under Missing Modalities via Memory-Driven Prompt Learning

Yihan Zhao, Wei Xi, Xiao Fu, Jizhong Zhao

RPMIL: Rethinking Uncertainty-Aware Probabilistic Multiple Instance Learning for Whole Slide Pathology Diagnosis

Zhikang Zhao, Kaitao Chen, Jing Zhao

Open-Vocabulary Fine-Grained Hand Action Detection

Ting Zhe, Mengya Han, Xiaoshuai Hao, Yong Luo, Zheng He, Xiantao Cai, Jing Zhang

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection

Binjia Zhou, Hengrui Lou, Lizhe Chen, Haoyuan Li, Dawei Luo, Shuai Chen, Jie Lei, Zunlei Feng, Yijun Bei

Adversarial Attacks on Both Face Recognition and Face Anti-spoofing Models

Fengfan Zhou, Qianyu Zhou, Heifei Ling, Xuequan Lu

Enhancing Table Recognition with Vision LLMs: A Benchmark and Neighbor-Guided Toolchain Reasoner

Yitong Zhou, Mingyue Cheng, Qingyang Mao, Jiahao Wang, Feiyang Xu, Xin Li

Cause-Effect Driven Optimization for Robust Medical Visual Question Answering with Language Biases

Huanjia Zhu, Yishu Liu, Xiaozhao Fang, Guangming Lu, Bingzhi Chen

Endogenous Recovery via Within-modality Prototypes for Incomplete Multimodal Hashing

Sa Zhu, Dayan Wu, Chenming Wu, Pengwen Dai, Bo Li

RegionMatch: Pixel-Region Collaboration for Semi-Supervised Semantic Segmentation in Remote Sensing Images

Xiaoqian Zhu, Xiangrong Zhang, Tianyang Zhang, Chaowei Fang, Xu Tang, Licheng Jiao

CFII-Net: Explicit Class Embeddings and Feature Maps Through Iterative Interaction for Boosting Medical Image Segmentation

Xinyu Zhu, Xiwen Liu, Lianghua He, Yin Wen

Top-Down Guidance for Learning Object-Centric Representations

Junhong Zou, Xiangyu Zhu, Zhaoxiang Zhang, Zhen Lei

Empowering Multimodal Road Traffic Profiling with Vision Language Models and Frequency Spectrum Fusion

Haolong Xiang, Xiaolong Xu, Guangdong Wang, Xuyun Zhang, Xiaoyong Li, Qi Zhang, Amin Beheshti, Wei Fan

AKBR: Learning Adaptive Kernel-based Representations for Graph Classification

Lu Bai, Feifei Qian, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin Hancock

GPL4SRec: Graph Multi-Level Aware Prompt Learning for Streaming Recommendation

Hao Cang, Huanhuan Yuan, Jiaqing Fan, Lei Zhao, Guanfeng Liu, Pengpeng Zhao

Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding

Jiameng Chen, Xiantao Cai, Jia Wu, Wenbin Hu

FCKT: Fine-Grained Cross-Task Knowledge Transfer with Semantic Contrastive Learning for Targeted Sentiment Analysis

Wei Chen, Zhao Zhang, Meng Yuan, Kepeng Xu, Fuzhen Zhuang

A Novel Sparse Active Online Learning Framework for Fast and Accurate Streaming Anomaly Detection Over Data Streams

Zhong Chen, Yi He, Di Wu, Chen Zhao, Meikang Qiu

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs

Le Cheng, Peican Zhu, Yangming Guo, Chao Gao, Zhen Wang, Keke Tang

HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion

Le Cheng, Peican Zhu, Yangming Guo, Keke Tang, Chao Gao, Zhen Wang

Adaptive Graph Unlearning

Pengfei Ding, Yan Wang, Guanfeng Liu, Jiajie Zhu

Suit the Node Pair to the Case: A Multi-Scale Node Pair Grouping Strategy for Graph-MLP Distillation

Rui Dong, Jiaxing Li, Weihuang Zheng, Youyong Kong

Picturized and Recited with Dialects: A Multimodal Chinese Representation Framework for Sentiment Analysis of Classical Chinese Poetry

Xiaocong Du, Haoyu Pei, Haipeng Zhang

Exploiting Self-Refining Normal Graph Structures for Robust Defense against Unsupervised Adversarial Attacks

Bingdao Feng, Di Jin, Xiaobao Wang, Dongxiao He, Jingyi Cao, Zhen Wang

Efficient Dynamic Graphs Learning with Refined Batch Parallel Training

Zhengzhao Feng, Rui Wang, Longjiao Zhang, Tongya Zheng, Ziqi Huang, Mingli Song

Hierarchy Knowledge Graph for Parameter-Efficient Entity Embedding

Hepeng Gao, Funing Yang, Yongjian Yang, Ying Wang

Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming

Nanxu Gong, Xinyuan Wang, Wangyang Ying, Haoyue Bai, Sixun Dong, Haifeng Chen, Yanjie Fu

NeuBM: Mitigating Model Bias in Graph Neural Networks Through Neutral Input Calibration

Jiawei Gu, Ziyue Qiao, Xiao Luo

Balance-Aware Sequence Sampling Makes Multi-Modal Learning Better

Zhi-Hao Guan, Qing-Yuan Jiang, Yang Yang

NAAST-GNN: Neighborhood Adaptive Aggregation and Spectral Tuning for Graph Anomaly Detection

Ronghui Guo, Xiaowang Zhang, Zhizhi Yu, Minghui Zou, Sai Zhang, Zhiyong Feng

Efficient Inter-Operator Scheduling for Concurrent Recommendation Model Inference on GPU

Shuxi Guo, Zikang Xu, Jiahao Liu, Jinyi Zhang, Qi Qi, Haifeng Sun, Jun Huang, Jianxin Liao, Jingyu Wang

Balancing Imbalance: Data-Scarce Urban Flow Prediction via Spatio-Temporal Balanced Transfer Learning

Xinyan Hao, Huaiyu Wan, Shengnan Guo, Youfang Lin

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion

Wenying He, Jieling Huang, Junhua Gu, Ji Zhang, Yude Bai

HPDM: A Hierarchical Popularity-aware Debiased Modeling Approach for Personalized News Recommender

Xiangfu He, Qiyao Peng, Minglai Shao, Hongtao Liu

MaskDGNN: Self-Supervised Dynamic Graph Neural Networks with Activeness-aware Temporal Masking

Yiming He, Xiang Li, Zhongying Zhao, Haobing Liu, Peilan He, Yanwei Yu

Aggregation Mechanism Based Graph Heterogeneous Networks Distillation

Xiaobin Hong, Mingkai Lin, Xiangkai Ma, Wenzhong Li, Sanglu Lu

ABNet: Mitigating Sample Imbalance in Anomaly Detection Within Dynamic Graphs

Yifan Hong, Muhammad Asif Ali, Huan Wang, Junyang Chen, Di Wang

A Generalized Diffusion Framework with Learnable Propagation Dynamics for Source Localization

Dongpeng Hou, Yuchen Wang, Chao Gao, Xianghua Li

Good Advisor for Source Localization: Using Large Language Model to Guide the Source Inference Process

Dongpeng Hou, Wenfei Wei, Chao Gao, Xianghua Li, Zhen Wang

Soft Reasoning Paths for Knowledge Graph Completion

Yanning Hou, Sihang Zhou, Ke Liang, Lingyuan Meng, Xiaoshu Chen, Ke Xu, Siwei Wang, Xinwang Liu, Jian Huang

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection

Lei Hu, Zhiyong Gan, Ling Deng, Jinglin Liang, Lingyu Liang, Shuangping Huang, Tianshui Chen

Interaction-Data-guided Conditional Instrumental Variables for Debiasing Recommender Systems

Zhirong Huang, Debo Cheng, Lin Liu, Jiuyong Li, Guangquan Lu, Shichao Zhang

OS-GCL: A One-Shot Learner in Graph Contrastive Learning

Cheng Ji, Chenrui He, Qian Li, Qingyun Sun, Xingcheng Fu, Jianxin Li

Hybrid Relational Graphs with Sentiment-laden Semantic Alignment for Multimodal Emotion Recognition in Conversation

Hongru Ji, Xianghua Li, Mingxin Li, Meng Zhao, Chao Gao

HGMP: Heterogeneous Graph Multi-Task Prompt Learning

Pengfei Jiao, Jialong Ni, Di Jin, Xuan Guo, Huan Liu, Hongjiang Chen, Yanxian Bi

FedCCH: Automatic Personalized Graph Federated Learning for Inter-Client and Intra-Client Heterogeneity

Pengfei Jiao, Zian Zhou, Meiting Xue, Huijun Tang, Zhidong Zhao, HuaMing Wu

A Dynamic Knowledge Update-Driven Model with Large Language Models for Fake News Detection

Di Jin, Jun Yang, Xiaobao Wang, Junwei Zhang, Shuqi Li, Dongxiao He

Rethinking Contrastive Learning in Graph Anomaly Detection: A Clean-View Perspective

Di Jin, Jingyi Cao, Xiaobao Wang, Bingdao Feng, Dongxiao He, Longbiao Wang, Jianwu Dang

Prototype-based Optimal Transport for Out-of-Distribution Detection

Ao Ke, Wenlong Chen, Chuanwen Feng, Yukun Cao, Xike Xie, S. Kevin Zhou, Lei Feng

Balancing User-Item Structure and Interaction with Large Language Models and Optimal Transport for Multimedia Recommendation

Haodong Li, Lianyong Qi, Weiming Liu, Xiaolong Xu, Wanchun Dou, Yang Cao, Xuyun Zhang, Amin Beheshti, Xiaokang Zhou

Representation Learning with Mutual Influence of Modalities for Node Classification in Multi-Modal Heterogeneous Networks

Jiafan Li, Jiaqi Zhu, Liang Chang, Yilin Li, Miaomiao Li, Yang Wang, Yi Yang, Hongan Wang

App2Exa: Accelerating Exact kNN Search via Dynamic Cache-Guided Approximation

Ke Li, Leong Hou U, Shuo Shang

TOTF: Missing-Aware Encoders for Clustering on Multi-View Incomplete Attributed Graphs

Mengyao Li, Xu Zhou, Jiapeng Zhang, Zhibang Yang, Cen Chen, Kenli Li

Decision-Aware Preference Modeling for Multi-Behavior Recommendation

Qingfeng Li, Wei Liu, Zaiqiao Meng, Jian Yin

Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems

Runze Li, Di Jin, Xiaobao Wang, Dongxiao He, Bingdao Feng, Zhen Wang

Beyond Individual and Point: Next POI Recommendation via Region-aware Dynamic Hypergraph with Dual-level Modeling

Xixi Li, Zhuo Gu, Rui Yao, Yong Zhou, Hancheng Zhu, Jiaqi Zhao, Wen-liang Du

Preference Identification by Interaction Overlap for Bundle Recommendation

Fei-Yao Liang, Wu-Dong Xi, Xing-Xing Xing, Wei Wan, Chang-Dong Wang, Hui-Yu Zhou

Query-Based and Unnoticeable Graph Injection Attack from Neighborhood Perspective

Chang Liu, Hai Huang, Xingquan Zuo

Flow Matching Based Sequential Recommender Model

Feng Liu, Lixin Zou, Xiangyu Zhao, Min Tang, Liming Dong, Dan Luo, Xiangyang Luo, Chenliang Li

Heterogeneous Temporal Hypergraph Neural Network

Huan Liu, Pengfei Jiao, Mengzhou Gao, Chaochao Chen, Di Jin

Sharpness-aware Zeroth-order Optimization for Graph Transformers

Yang Liu, Chuan Zhou, Yuhan Lin, Shuai Zhang, Yang Gao, Zhao Li, Shirui Pan

DGExplainer: Explaining Dynamic Graph Neural Networks via Relevance Back-propagation

Yezi Liu, Jiaxuan Xie, Yanning Shen

Variational Graph Auto-Encoder Driven Graph Enhancement for Sequential Recommendation

Yuwen Liu, Lianyong Qi, Xingyuan Mao, Weiming Liu, Shichao Pei, Fan Wang, Xuyun Zhang, Amin Beheshti, Xiaokang Zhou

CLLMRec: Contrastive Learning with LLMs-based View Augmentation for Sequential Recommendation

Fan Lu, Xiaolong Xu, Haolong Xiang, Lianyong Qi, Xiaokang Zhou, Fei Dai, Wanchun Dou

Dynamic Seed-GrowthCM: A Dynamic Benefit-Oriented Algorithm for Core Maximization on Large Graphs

Dongyuan Ma, Dongxiao He, Xin Huang

Causal Learning Meet Covariates: Empowering Lightweight and Effective Nationwide Air Quality Forecasting

Jiaming Ma, Zhiqing Cui, Binwu Wang, Pengkun Wang, Zhengyang Zhou, Zhe Zhao, Yang Wang

STLSP: Integrating Structure and Text with Large Language Models for Link Sign Prediction of Networks

Lijia Ma, Haoyang Fu, Zhijie Cao, Xiongnan Jin, Qiuzhen Lin, Jianqiang Li

Enhancing Long-Tail Bundle Recommendations Utilizing Composition Pattern Modeling

Tianhui Ma, Shuyao Wang, Zhi Zheng, Hui Xiong

PALA: Class-imbalanced Graph Domain Adaptation via Prototype-anchored Learning and Alignment

Xin Ma, Yifan Wang, Siyu Yi, Wei Ju, Bei Wu, Ziyue Qiao, Chenwei Tang, Jiancheng Lv

MMNet: Missing-Aware and Memory-Enhanced Network for Multivariate Time Series Imputation

Xiaoye Miao, Han Shi, Yi Yuan, Daozhan Pan, Yangyang Wu, Xiaohua Pan

Rethinking Graph Contrastive Learning Through Relative Similarity Preservation

Zhiyuan Ning, Pengfei Wang, Ziyue Qiao, Pengyang Wang, Yuanchun Zhou

Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts

Chaoxi Niu, Hezhe Qiao, Changlu Chen, Ling Chen, Guansong Pang

Exploring the Over-smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-based Viewpoint

Feifei Qian, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin Hancock

HA-SCN: Learning Hierarchical Aligned Subtree Convolutional Networks for Graph Classification

Xinya Qin, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin Hancock

DHTAGK: Deep Hierarchical Transitive-Aligned Graph Kernels for Graph Classification

Xinya Qin, Lu Bai, Lixin Cui, Ming Li, Ziyu Lyu, Hangyuan Du, Edwin Hancock

Unveiling the Power of Noise Priors: Enhancing Diffusion Models for Mobile Traffic Prediction

Zhi Sheng, Daisy Yuan, Jingtao Ding, Qi Yan, Xi Zheng, Yue Sun, Yong Li

Multi-Scale Temporal Neural Network for Stock Trend Prediction Enhanced by Temporal Hyepredge Learning

Lingyun Song, Haodong Li, Siyu Chen, Xinbiao Gan, Binze Shi, Jie Ma, Yudai Pan, Xiaoqi Wang, Xuequn Shang

Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning

Yudan Song, Yuecen Wei, Yuhang Lu, Qingyun Sun, Minglai Shao, Li-e Wang, Chunming Hu, Xianxian Li, Xingcheng Fu

DualCast: A Model to Disentangle Aperiodic Events from Traffic Series

Xinyu Su, Feng Liu, Yanchuan Chang, Egemen Tanin, Majid Sarvi, Jianzhong Qi

Towards Recognizing Spatial-temporal Collaboration of EEG Phase Brain Networks for Emotion Understanding

Jiangfeng Sun, Kaiwen Xue, Qika Lin, Yufei Qiao, Yifan Zhu, Zhonghong Ou, Meina Song

Trace: Structural Riemannian Bridge Matching for Transferable Source Localization in Information Propagation

Li Sun, Suyang Zhou, Bowen Fang, Hechuan Zhang, Junda Ye, Yutong Ye, Philip S. Yu

Riding the Wave: Multi-Scale Spatial-Temporal Graph Learning for Highway Traffic Flow Prediction Under Overload Scenarios

Xigang Sun, Jiahui Jin, Hancheng Wang, Xiangguo Sun, Xiaoliang Wang, Jun Zhu

SEP: A General Lossless Compression Framework with Semantics Enhancement and Multi-Stream Pipelines

Meng Wan, Rongqiang Cao, Yanghao Li, Jue Wang, Zijian Wang, Qi Su, Lei Qiu, Peng Shi, Yangang Wang, Chong Li

Non-collective Calibrating Strategy for Time Series Forecasting

Bin Wang, Yongqi Han, Minbo Ma, Tianrui Li, Junbo Zhang, Feng Hong, Yanwei Yu

Distribution-Aware Online Learning for Urban Spatiotemporal Forecasting on Streaming Data

Chengxin Wang, Gary Tan, Swagato Barman Roy, Beng Chin Ooi

ADFormer: Aggregation Differential Transformer for Passenger Demand Forecasting

Haichen Wang, Liu Yang, Xinyuan Zhang, Haomin Yu, Ming Li, Jilin Hu

RePST: Language Model Empowered Spatio-Temporal Forecasting via Semantic-Oriented Reprogramming

Hao Wang, Jindong Han, Wei Fan, Leilei Sun, Hao Liu

An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks

Jinyan Wang, Liu Yang, Yuecen Wei, Jiaxuan Si, Chenhao Guo, Qingyun Sun, Xianxian Li, Xingcheng Fu

EVICheck: Evidence-Driven Independent Reasoning and Combined Verification Method for Fact-Checking

Lingxiao Wang, Lei Shi, Feifei Kou, Ligu Zhu, Chen Ma, Pengfei Zhang, Mingying Xu, Zeyu Li

FreqLLM: Frequency-Aware Large Language Models for Time Series Forecasting

Shunnan Wang, Min Gao, Zongwei Wang, Yibing Bai, Feng Jiang, Guansong Pang

Higher-order Logical Knowledge Representation Learning

Suixue Wang, Weiliang Huo, Shilin Zhang, Qingchen Zhang

FedHAN: A Cache-Based Semi-Asynchronous Federated Learning Framework Defending Against Poisoning Attacks in Heterogeneous Clients

Xiaoding Wang, Bin Ye, Li Xu, Lizhao Wu, Sun-Yuan Hsieh, Jie Wu, Limei Lin

Attribute Association Driven Multi-Task Learning for Session-based Recommendation

Xinyao Wang, Zhizhi Yu, Dongxiao He, Liang Yang, Jianguo Wei, Di Jin

Explainable Graph Representation Learning via Graph Pattern Analysis

Xudong Wang, Ziheng Sun, Chris Ding, Jicong Fan

STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation

Yiming Wang, Hao Peng, Senzhang Wang, Haohua Du, Chunyang Liu, Jia Wu, Guanlin Wu

Learning Neural Jump Stochastic Differential Equations with Latent Graph for Multivariate Temporal Point Processes

Yuchen Wang, Dongpeng Hou, Chao Gao, Xianghua Li

HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model

Yuling Wang, Zihui Chen, Pengfei Jiao, Xiao Wang

Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph

Yuxiang Wang, Xiao Yan, Shiyu Jin, Quanqing Xu, Chuang Hu, Yuanyuan Zhu, Bo Du, Jia Wu, Jiawei Jiang

Let’s Group: A Plug-and-Play SubGraph Learning Method for Memory-Efficient Spatio-Temporal Graph Modeling

Wenchao Weng, Hanyu Jiang, Mei Wu, Xiao Han, Haidong Gao, Guojiang Shen, Xiangjie Kong

Dual Encoder Contrastive Learning with Augmented Views for Graph Anomaly Detection

Nannan Wu, Hongdou Dong, Wenjun Wang, Yiming Zhao

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing

Shuyin Xia, Guan Wang, Gaojie Xu, Sen Zhao, Guoyin Wang

Flow-based Time-aware Causal Structure Learning for Sequential Recommendation

Hangtong Xu, Yuanbo Xu, Huayuan Liu, En Wang

Where and When: Predict Next POI and Its Explicit Timestamp in Sequential Recommendation

Yuanbo Xu, Hongxu Shen, Yiheng Jiang, En Wang

DGraFormer: Dynamic Graph Learning Guided Multi-Scale Transformer for Multivariate Time Series Forecasting

Han Yan, Dongliang Chen, Guiyuan Jiang, Bin Wang, Lei Cao, Junyu Dong, Yanwei Yu

Revealing Concept Shift in Spatio-Temporal Graphs via State Learning

Kuo Yang, Yunhe Guo, Qihe Huang, Zhengyang Zhou, Yang Wang

Universal Graph Self-Contrastive Learning

Liang Yang, Yukun Cai, Hui Ning, Jiaming Zhuo, Di Jin, Ziyi Ma, Yuanfang Guo, Chuan Wang, Zhen Wang

CAN-ST: Clustering Adaptive Normalization for Spatio-temporal OOD Learning

Min Yang, Yang An, Jinliang Deng, Xiaoyu Li, Bin Xu, Ji Zhong, Xiankai Lu, Yongshun Gong

Towards Equilibrium: An Instantaneous Probe-and-Rebalance Multimodal Learning Approach

Yang Yang, Xixian Wu, Qing-Yuan Jiang

Coupling Category Alignment for Graph Domain Adaptation

Nan Yin, Xiao Teng, Zhiguang Cao, Mengzhu Wang

A Prior-based Discrete Diffusion Model for Social Graph Generation

Shu Yin, Dongpeng Hou, Lianwei Wu, Xianghua Li, Chao Gao

Cost-Effective On-Device Sequential Recommendation with Spiking Neural Networks

Di Yu, Changze Lv, Xin Du, Linshan Jiang, Qing Yin, Wentao Tong, Xiaoqing Zheng, Shuiguang Deng

A Centrality-based Graph Learning Framework

Jiajun Yu, Zhihao Wu, Jielong Lu, Tianyue Wang, Haishuai Wang

Spatio-temporal Prototype-based Hierarchical Learning for OD Demand Prediction

Shilu Yuan, Xiaoyu Li, Wenqian Mu, Ji Zhong, Meng Chen, Haoliang Sun, Yongshun Gong

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting

Wenzhen Yue, Yong Liu, Xianghua Ying, Bowei Xing, Ruohao Guo, Ji Shi

Device-Cloud Collaborative Correction for On-Device Recommendation

Tianyu Zhan, Shengyu Zhang, Zheqi Lv, Jieming Zhu, Jiwei Li, Fan Wu, Fei Wu

Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems

Hao Zhang, Mingyue Cheng, Zhiding Liu, Junzhe Jiang

AdaMixT: Adaptive Weighted Mixture of Multi-Scale Expert Transformers for Time Series Forecasting

Huanyao Zhang, Jiaye Lin, Wentao Zhang, Haitao Yuan, Guoliang Li

GCTAM: Global and Contextual Truncated Affinity Combined Maximization Model For Unsupervised Graph Anomaly Detection

Xiong Zhang, Hong Peng, Zhenli He, Cheng Xie, Xin Jin, Hua Jiang

MEGAD: A Memory-Efficient Framework for Large-Scale Attributed Graph Anomaly Detection

Yifan Zhang, Haolong Xiang, Xiaolong Xu, Zishun Rui, Xiaoyong Li, Lianyong Qi, Fei Dai

Time-Frequency Disentanglement Boosted Pre-Training: A Universal Spatio-Temporal Modeling Framework

Yudong Zhang, Zhaoyang Sun, Xu Wang, Xuan Yu, Kai Wang, Yang Wang

An End-to-End Simple Clustering Hierarchical Pooling Operation for Graph Learning Based on Top-K Node Selection

Zhehan Zhao, Lu Bai, Ming Li, Lixin Cui, Hangyuan Du, Yue Wang, Edwin Hancock

Generate or Re-Weight? A Mutual-Guidance Method for Class-Imbalanced Graphs

Zhongying Zhao, Gen Liu, Qi Meng, Chao Li, Qingtian Zeng

CoLA-Former: Graph Transformer Using Communal Linear Attention for Lightweight Sequential Recommendation

Zhongying Zhao, Jinyu Zhang, Chuanxu Jia, Chao Li, Yanwei Yu, Qingtian Zeng

TrajCogn: Leveraging LLMs for Cognizing Movement Patterns and Travel Purposes from Trajectories

Zeyu Zhou, Yan Lin, Haomin Wen, Shengnan Guo, Jilin Hu, Youfang Lin, Huaiyu Wan

Adversarial Propensity Weighting for Debiasing in Collaborative Filtering

Kuiyu Zhu, Tao Qin, Pinghui Wang, Xin Wang

Progressive Prefix-Memory Tuning for Complex Logical Query Answering on Knowledge Graphs

Xingrui Zhuo, Shirui Pan, Jiapu Wang, Gongqing Wu, Zan Zhang, Rui Li, Zizhong Wei, Xindong Wu

Cap-and-Penalize: Competitive Mechanisms for Multi-Phase Regularized Online Allocation

Seyedehkimia Alaviyar, Faraz Zargari, John Tyler, Yunwei Ryan Li, Xiaoqi Tan

Distance Preservation Games

Haris Aziz, Hau Chan, Patrick Lederer, Shivika Narang, Toby Walsh

Smart Contracts for Trustless Sampling of Correlated Equilibria

Togzhan Barakbayeva, Zhuo Cai, Amir Goharshady, Karaneh Keypoor

How to Resolve Envy by Adding Goods

Matthias Bentert, Robert Bredereck, Eva Deltl, Pallavi Jain, Leon Kellerhals

Constrained Serial Dictatorships Can Be Fair

Sylvain Bouveret, Hugo Gilbert, Jérôme Lang, Guillaume Méroué

Settling the Complexity of Popularity in Additively Separable and Fractional Hedonic Games

Martin Bullinger, Matan Gilboa

Multi-Organizational Scheduling: Individual Rationality, Optimality, and Complexity

Jiehua Chen, Martin Durand, Christian Hatschka

Maximin Share Guarantees for Few Agents with Subadditive Valuations

George Christodoulou, Vasilis Christoforidis, Symeon Mastrakoulis, Alkmini Sgouritsa

Decentralized Online Learning by Selfish Agents in Coalition Formation

Saar Cohen, Noa Agmon

Inverse Game Theory: An Incenter-Based Approach

Lvye Cui, Haoran Yu, Pierre Pinson, Dario Paccagnan

Not in My Backyard! Temporal Voting Over Public Chores

Edith Elkind, Tzeh Yuan Neoh, Nicholas Teh

Participatory Budgeting Project Strength via Candidate Control

Piotr Faliszewski, Łukasz Janeczko, Dušan Knop, Jan Pokorný, Šimon Schierreich, Mateusz Słuszniak, Krzysztof Sornat

EFX Feasible Scheduling for Time-dependent Resources

Jiazhu Fang, Qizhi Fang, Minming Li, Wenjing Liu

Α Descent-based Method on the Duality Gap for Solving Zero-sum Games

Michail Fasoulakis, Evangelos Markakis, Georgios Roussakis, Christodoulos Santorinaios

Non-Obvious Manipulability in Additively Separable and Fractional Hedonic Games

Diodato Ferraioli, Giovanna Varricchio

Optimal Metric Distortion for Matching on the Line

Aris Filos-Ratsikas, Vasilis Gkatzelis, Mohamad Latifian, Emma Rewinski, Alexandros A. Voudouris

Beyond Symmetry in Repeated Games with Restarts

Henry Fleischmann, Kiriaki Fragkia, Ratip Emin Berker

Airdrop Games

Sotiris Georganas, Aggelos Kiayias, Paolo Penna

Strategyproofness and Monotone Allocation of Auction in Social Networks

Yuhang Guo, Dong Hao, Bin Li, Mingyu Xiao, Bakh Khoussainov

More Efforts Towards Fixed-Parameter Approximability of Multiwinner Rules

Sushmita Gupta, Pallavi Jain, Souvik Saha, Saket Saurabh, Anannya Upasana

The Proportional Veto Principle for Approval Ballots

Daniel Halpern, Ariel D. Procaccia, Warut Suksompong

Dividing Conflicting Items Fairly

Ayumi Igarashi, Pasin Manurangsi, Hirotaka Yoneda

Efficient Algorithms for Electing Successive Committees

Pallavi Jain, Andrzej Kaczmarczyk

Online Housing Market

Julien Lesca

Fair Submodular Maximization over a Knapsack Constraint

Lijun Li, Chenyang Xu, Liuyi Yang, Ruilong Zhang

Logarithmic Approximations for Fair k-Set Selection

Shi Li, Chenyang Xu, Ruilong Zhang

Approximately EFX and fPO Allocations for Bivalued Chores

Zehan Lin, Xiaowei Wu, Shengwei Zhou

Stackelberg vs. Nash in the Lottery Colonel Blotto Game

Yan Liu, Bonan Ni, Weiran Shen, Zihe Wang, Jie Zhang

Viral Marketing and Convergence Properties in Generalised Voter Model

Abhiram Manohara, Ahad N. Zehmakan

Asymptotic Analysis of Weighted Fair Division

Pasin Manurangsi, Warut Suksompong, Tomohiko Yokoyama

Asymptotic Fair Division: Chores Are Easier Than Goods

Pasin Manurangsi, Warut Suksompong

Joint-Perturbation Simultaneous Pseudo-Gradient

Carlos Martin, Tuomas Sandholm

Variety-Seeking Jump Games on Graphs

Lata Narayanan, Jaroslav Opatrny, Shanmukha Tummala, Alexandros A. Voudouris

The Core of Approval-Based Committee Elections with Few Seats

Dominik Peters

Optimal Capacity Modification for Stable Matchings with Ties

Keshav Ranjan, Meghana Nasre, Prajakta Nimbhorkar

Improved Approximation Ratio for Strategyproof Facility Location on a Cycle

Krzysztof Rogowski, Marcin Dziubiński

Discrete Budget Aggregation: Truthfulness and Proportionality

Ulrike Schmidt-Kraepelin, Warut Suksompong, Markus Utke

Finding Possible Winners in Spatial Voting with Incomplete Information

Hadas Shachnai, Rotem Shavitt, Andreas Wiese

Improved MMS Approximations for Few Agent Types

Parnian Shahkar, Jugal Garg

Probabilistic Analysis of Stable Matching in Large Markets with Siblings

Zhaohong Sun, Tomohiko Yokoyama, Makoto Yokoo

A Little Subsidy Ensures MMS Allocation for Three Agents

Xiaowei Wu, Quan Xue, Shengwei Zhou

Revisiting Proportional Allocation with Subsidy: Simplification and Improvements

Xiaowei Wu, Quan Xue, Shengwei Zhou

Public Signaling in Markets with Information Asymmetry Using a Limited Number of Signals

Xu Zhao, Ren Liu, Weiran Shen

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting

Wei Chen, Jiahao Zhang, Haipeng Zhu, Boyan Xu, Zhifeng Hao, Keli Zhang, Junjian Ye, Ruichu Cai

A Non-Interventionist Approach to Causal Reasoning Based on Lewisian Counterfactuals

Carlos Aguilera-Ventura, Xinghan Liu, Emiliano Lorini, Dmitry Rozplokhas

Featured Argumentation Framework: Semantics and Complexity

Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna

Counterfactual Explanations Under Model Multiplicity and Their Use in Computational Argumentation

Gianvincenzo Alfano, Adam Gould, Francesco Leofante, Antonio Rago, Francesca Toni

Integrating Answer Set Programming and Large Language Models for Enhanced Structured Representation of Complex Knowledge in Natural Language

Mario Alviano, Lorenzo Grillo, Fabrizio Lo Scudo, Luis Angel Rodriguez Reiners

EnergyCompress: A General Case Base Learning Strategy

Fadi Badra, Esteban Marquer, Marie-Jeanne Lesot, Miguel Couceiro, David Leake

A Logic of General Attention Using Edge-Conditioned Event Models

Gaia Belardinelli, Thomas Bolander, Sebastian Watzl

A Datalog Rewriting Algorithm for Warded Ontologies

Davide Benedetto, Marco Calautti, Hebatalla Hammad, Emanuel Sallinger, Adriano Vlad-Starrabba

Initial Models and Serialisability in Abstract Dialectical Frameworks

Lars Bengel, Matthias Thimm

Inconsistency Handling in DatalogMTL

Meghyn Bienvenu, Camille Bourgaux, Atefe Khodadaditaghanaki

On Independence and SCC-Recursiveness in Assumption-Based Argumentation

Lydia Blümel, Anna Rapberger, Matthias Thimm, Francesca Toni

A Structural Complexity Analysis of Hierarchical Task Network Planning

Cornelius Brand, Robert Ganian, Fionn Mc Inerney, Simon Wietheger

A General Framework for Representing Controlled Natural Language Sentences and Translation to KR Formalisms

Simone Caruso, Carmine Dodaro, Marco Maratea, Alice Tarzariol

First-Order Coalition Logic

Davide Catta, Rustam Galimullin, Aniello Murano

Parallel Belief Revision via Order Aggregation

Jake Chandler, Richard Booth

Parallel Belief Contraction via Order Aggregation

Jake Chandler, Richard Booth

Assessing the Exposure to Public Knowledge in Policy-Protected Description Logic Ontologies

Gianluca Cima, Domenico Lembo, Lorenzo Marconi, Riccardo Rosati, Domenico Fabio Savo

A Logic-based Framework for Decoding Enthymemes in Argument Maps Involving Implicitness in Premises and Claims

Victor David, Anthony Hunter

Circuit-Aware d-DNNF Compilation

Vincent Derkinderen, Jean-Marie Lagniez

A Sequent Calculus for Answer Set Entailment

Thomas Eiter, Tobias Geibinger

On Temporal ASP with Eager Unfoldable Operators

Thomas Eiter, Davide Soldà

Robustness in Single-Audience Value-based Abstract Argumentation: Complexity Results

Bettina Fazzinga, Sergio Flesca, Filippo Furfaro

Facets in Argumentation: A Formal Approach to Argument Significance

Johannes K. Fichte, Nicolas Fröhlich, Markus Hecher, Victor Lagerkvist, Yasir Mahmood, Arne Meier, Jonathan Persson

Are Large Language Models Fluent in Declarative Process Mining?

Valeria Fionda, Antonio Ielo, Francesco Ricca

Non-expansive Fuzzy ALC

Stefan Gebhart, Lutz Schröder, Paul Wild

On Middle Grounds for Preference Statements

Anne-Marie George, Ana Ozaki

Relational Decomposition for Program Synthesis

Céline Hocquette, Andrew Cropper

Human-Readable Neuro-Fuzzy Networks from Frequent Yet Discernible Patterns in Reward-Based Environments

John Wesley Hostetter, Adittya Soukarjya Saha, Md Mirajul Islam, Tiffany Barnes, Min Chi

Approximation Fixpoint Theory as a Unifying Framework for Fuzzy Logic Programming Semantics

Pascal Kettmann, Jesse Heyninck, Hannes Strass

Reasoning About Causal Knowledge in Nondeterministic Domains

Shakil M. Khan, Yves Lespérance, Maryam Rostamigiv

A Fine-Grained Complexity View on Propositional Abduction - Algorithms and Lower Bounds

Victor Lagerkvist, Mohamed Maizia, Johannes Schmidt

Improving Efficiency of Answer Set Planning with Rough Solutions from Large Language Models for Robotic Task Planning

Xinrui Lin, Yangfan Wu, Huanyu Yang, Yuting Huang, Yu Zhang, Jianmin Ji, Yanyong Zhang

Test-Time Adaptation on Recommender System with Data-Centric Graph Transformation

Yating Liu, Xin Zheng, Yi Li, Yanqing Guo

On Definite Iterated Belief Revision with Belief Algebras

Hua Meng, Zhiguo Long, Michael Sioutis, Zhengchun Zhou

FS-KEN: Few-shot Knowledge Graph Reasoning by Adversarial Negative Enhancing

Lingyuan Meng, Ke Liang, Zeyu Zhu, Xinwang Liu, Wenpeng Lu

Responsibility Gap in Collective Decision Making

Pavel Naumov, Jia Tao

Combining MORL with Restraining Bolts to Learn Normative Behaviour

Emery A. Neufeld, Agata Ciabattoni, Radu Florin Tulcan

Rewarding Explainability in Drug Repurposing with Knowledge Graphs

Susana Nunes, Samy Badreddine, Catia Pesquita

Instantiation-based Formalization of Logical Reasoning Tasks Using Language Models and Logical Solvers

Mohammad Raza, Natasa Milic-Frayling

Learning Probabilistic Temporal Logic Specifications for Stochastic Systems

Rajarshi Roy, Yash Pote, Dave Parker, Marta Kwiatkowska

A Game-Theoretic Perspective on Inconsistency Handling

Yakoub Salhi

Verifying Quantized Graph Neural Networks is PSPACE-complete

Marco Sälzer, Francois Schwarzentruber, Nicolas Troquard

Iterated Belief Change as Learning

Nicolas Schwind, Katsumi Inoue, Sébastien Konieczny, Pierre Marquis

Generalized Safe Conditional Syntax Splitting of Belief Bases

Lars-Phillip Spiegel, Jonas Haldimann, Jesse Heyninck, Gabriele Kern-Isberner, Christoph Beierle

Decomposing Inconsistencies: Marginal Contributions and Pooling Techniques

Christian Straßer, Badran Raddaoui, Said Jabbour

Witnesses for Answer Sets of Basic Logic Programs

Yisong Wang, Xianglong Wang, Zhongtao Xie, Thomas Eiter

Identifying Causal Mechanism Shifts Under Additive Models with Arbitrary Noise

Yewei Xia, Xueliang Cui, Hao Zhang, Yixin Ren, Feng Xie, Jihong Guan, Ruxin Wang, Shuigeng Zhou

LLM4VKG: Leveraging Large Language Models for Virtual Knowledge Graph Construction

Guohui Xiao, Lin Ren, Guilin Qi, Haohan Xue, Marco Di Panfilo, Davide Lanti

Automated Strategy Invention for Confluence of Term Rewrite Systems

Liao Zhang, Fabian Mitterwallner, Jan Jakubuv, Cezary Kaliszyk

FGeo-HyperGNet: Geometric Problem Solving Integrating FormalGeo Symbolic System and Hypergraph Neural Network

Xiaokai Zhang, Yang Li, Na Zhu, Cheng Qin, Zhenbing Zeng, Tuo Leng

Universal Backdoor Defense via Label Consistency in Vertical Federated Learning

Peng Chen, Haolong Xiang, Xin Du, Xiaolong Xu, Xuhao Jiang, Zhihui Lu, Jirui Yang, Qiang Duan, Wanchun Dou

A Logic-Based Approach to Causal Discovery: Signal Temporal Logic Perspective

Nasim Baharisangari, Yucheng Ruan, Chengcheng Zhao, Zhe Xu

CD^2: Constrained Dataset Distillation for Few-Shot Class-Incremental Learning

Kexin Bao, Daichi Zhang, Hansong Zhang, Yong Li, Yutao Yue, Shiming Ge

Dirichlet Process-Based Robust Clustering Using the Median-of-Means Estimator

Supratik Basu, Jyotishka Ray Choudhury, Debolina Paul, Swagatam Das

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism

Ruichu Cai, Kaitao Zheng, Junxian Huang, Zijian Li, Zhengming Chen, Boyan Xu, Zhifeng Hao

Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning

Ruichu Cai, Junjie Wan, Weilin Chen, Zeqin Yang, Zijian Li, Peng Zhen, Jiecheng Guo

Adversarial Training for Graph Convolutional Networks: Stability and Generalization Analysis

Chang Cao, Han Li, Yulong Wang, Rui Wu, Hong Chen

Grounding Methods for Neural-Symbolic AI

Rodrigo Castellano Ontiveros, Francesco Giannini, Marco Gori, Giuseppe Marra, Michelangelo Diligenti

Where Does This Data Come From? Enhanced Source Inference Attacks in Federated Learning

Haiyang Chen, Xiaolong Xu, Xiang Zhu, Xiaokang Zhou, Fei Dai, Yansong Gao, Xiao Chen, Shuo Wang, Hongsheng Hu

DERI: Cross-Modal ECG Representation Learning with Deep ECG-Report Interaction

Jian Chen, Xiaoru Dong, Wei Wang, Shaorui Zhou, Lequan Yu, Xiping Hu

Variational Offline Multi-agent Skill Discovery

Jiayu Chen, Tian Lan, Vaneet Aggarwal

Disconfounding Fake News Video Explanation with Causal Inference

Lizhi Chen, Zhong Qian, Peifeng Li, Qiaoming Zhu

Pixel-wise Divide and Conquer for Federated Vessel Segmentation

Tian Chen, Wenke Huang, Zhihao Wang, Zekun Shi, He Li, Wenhui Dong, Mang Ye, Bo Du, Yongchao Xu

Optimizing Personalized Federated Learning Through Adaptive Layer-Wise Learning

Weihang Chen, Cheng Yang, Jie Ren, Zhiqiang Li, Zheng Wang

Learning to Extrapolate and Adjust: Two-Stage Meta-Learning for Concept Drift in Online Time Series Forecasting

Weiqi Chen, Zhaoyang Zhu, Yifan Zhang, Lefei Shen, Linxiao Yang, Qingsong Wen, Liang Sun

Multimodal Inference with Incremental Tabular Attributes

Xinda Chen, Zhen Xing, Zixian Zhang, Weimin Tan, Bo Yan

Neuromorphic Sequential Arena: A Benchmark for Neuromorphic Temporal Processing

Xinyi Chen, Chenxiang Ma, Yujie Wu, Kay Chen Tan, Jibin Wu

Pseudo-Label Reconstruction for Partial Multi-Label Learning

Yu Chen, Fang Li, Na Han, Guanbin Li, Hongbo Gao, Sixian Chan, Xiaozhao Fang

DO-CoLM: Dynamic 3D Conformation Relationships Capture with Self-Adaptive Ordering Molecular Relational Modeling in Language Models

Zhuo Chen, Jiahui Zhang, Sihan Wang, Hongxin Xiang, Jianmin Wang, Wenjie Du, Yang Wang

Multi-Objective Neural Bandits with Random Scalarization

Ji Cheng, Bo Xue, Chengyu Lu, Ziqiang Cui, Qingfu Zhang

A Hybrid Multi-Factor Network with Dynamic Sequence Modeling for Early Warning of Intraoperative Hypotension

Mingyue Cheng, Jintao Zhang, Zhiding Liu, Chunli Liu

Automated Superscalar Processor Design by Learning Data Dependencies

Shuyao Cheng, Rui Zhang, Wenkai He, Pengwei Jin, Chongxiao Li, Zidong Du, Xing Hu, Yifan Hao, Guanglin Xu, Yuanbo Wen, Ling Li, Qi Guo, Yunji Chen

Fully Test-Time Adaptation for Feature Decrement in Tabular Data

Zi-Jian Cheng, Zi-Yi Jia, Kun-Yang Yu, Zhi Zhou, Lan-Zhe Guo

GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype

Changxi Chi, Jun Xia, Jingbo Zhou, Jiabei Cheng, Chang Yu, Stan Z. Li

Maximum Entropy Softmax Policy Gradient via Entropy Advantage Estimation

Jean Seong Bjorn Choe, Jong-kook Kim

Language-Based Bayesian Optimization Research Assistant (BORA)

Abdoulatif Cissé, Xenophon Evangelopoulos, Vladimir V. Gusev, Andrew I. Cooper

SPoRt - Safe Policy Ratio: Certified Training and Deployment of Task Policies in Model-Free RL

Jacques Cloete, Nikolaus Vertovec, Alessandro Abate

Interpretable DNFs

Martin C. Cooper, Imane Bousdira, Clément Carbonnel

KIPPO: Koopman-Inspired Proximal Policy Optimization

Andrei Cozma, Landon Harris, Hairong Qi

A Fast Neural Architecture Search Method for Multi-Modal Classification via Knowledge Sharing

Zhihua Cui, Shiwu Sun, Qian Guo, Xinyan Liang, Yuhua Qian, Zhixia Zhang

Learning from Logical Constraints with Lower- and Upper-Bound Arithmetic Circuits

Lucile Dierckx, Alexandre Dubray, Siegfried Nijssen

FedDLAD: A Federated Learning Dual-Layer Anomaly Detection Framework for Enhancing Resilience Against Backdoor Attacks

Binbin Ding, Penghui Yang, Sheng-Jun Huang

Block Circulant Adapter for Large Language Models

Xinyu Ding, Meiqi Wang, Siyu Liao, Zhongfeng Wang

Counterfactual Explanations for Continuous Action Reinforcement Learning

Shuyang Dong, Shangtong Zhang, Lu Feng

A Methodological Framework for Measuring Spatial Labeling Similarity

Yihang Du, Jiaying Hu, Suyang Hou, Yueyang Ding, Xiaobo Sun

Continuous-Time Reward Machines

Amin Falah, Shibashis Guha, Ashutosh Trivedi

Multi-player Multi-armed Bandits with Delayed Feedback

Jingqi Fan, Zilong Wang, Shuai Li, Linghe Kong

One-step Label Shift Adaptation via Robust Weight Estimation

Ruidong Fan, Xiao Ouyang, Tingjin Luo, Lijun Zhang, Chenping Hou

Not All Layers of LLMs Are Necessary During Inference

Siqi Fan, Xin Jiang, Xiang Li, Xuying Meng, Peng Han, Shuo Shang, Aixin Sun, Yequan Wang

Open-World Semi-Supervised Learning with Class Semantic Correlations

Yuxin Fan, Junbiao Cui, Jiye Liang, Jianqing Liang

Screening, Rectifying, and Re-Screening: A Unified Framework for Tuning Vision-Language Models with Noisy Labels

Chaowei Fang, Hangfei Ma, Zhihao Li, De Cheng, Yue Zhang, Guanbin Li

HiTuner: Hierarchical Semantic Fusion Model Fine-Tuning on Text-Attributed Graphs

Zihan Fang, Zhiling Cai, Yuxuan Zheng, Shide Du, Yanchao Tan, Shiping Wang

Federated Multi-view Graph Clustering with Incomplete Attribute Imputation

Wei Feng, Zeyu Bi, Qianqian Wang, Bo Dong

Tensorial Multi-view Clustering with Deep Anchor Graph Projection

Wei Feng, Dongyuvan Wei, Qianqian Wang, Bo Dong

Optimal Transport on Categorical Data for Conterfactuals Using Compositional Data and Dirichlet Transport

Agathe Fernandes Machado, Ewen Gallic, Arthur Charpentier

Learn from Global Rather Than Local: Consistent Context-Aware Representation Learning for Multi-View Graph Clustering

Lele Fu, Bowen Deng, Sheng Huang, Tianchi Liao, Chuanfu Zhang, Chuan Chen

Structure-Aware Handwritten Text Recognition via Graph-Enhanced Cross-Modal Mutual Learning

Ji Gan, Yupeng Zhou, Yanming Zhang, Jiaxu Leng, Xinbo Gao

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method

Wanfu Gao, Jun Gao, Qingqi Han, Hanlin Pan, Kunpeng Liu

Noise-Resistant Label Reconstruction Feature Selection for Partial Multi-Label Learning

Wanfu Gao, Hanlin Pan, Qingqi Han, Kunpeng Liu

Two-Stage Feature Generation with Transformer and Reinforcement Learning

Wanfu Gao, Zengyao Man, Zebin He, Yuhao Tang, Jun Gao, Kunpeng Liu

Dual-Agent Reinforcement Learning for Automated Feature Generation

Wanfu Gao, Zengyao Man, Hanlin Pan, Kunpeng Liu

Decoupled Imbalanced Label Distribution Learning

Yongbiao Gao, Xiangcheng Sun, Miaogen Ling, Chao Tan, Yi Zhai, Guohua Lv

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models

Yunfeng Ge, Jiawei Li, Yiji Zhao, Haomin Wen, Zhao Li, Meikang Qiu, Hongyan Li, Ming Jin, Shirui Pan

LoD: Loss-difference OOD Detection by Intentionally Label-Noisifying Unlabeled Wild Data

Chuanxing Geng, Qifei Li, Xinrui Wang, Dong Liang, Songcan Chen, Pong C. Yuen

WDMIR: Wavelet-Driven Multimodal Intent Recognition

Weiyin Gong, Kai Zhang, Yanghai Zhang, Qi Liu, Xinjie Sun, Junyu Lu, Linbo Zhu

Flexible Generalized Low-Rank Regularizer for Tensor RPCA

Zhiyang Gong, Jie Yu, Yutao Hu, Yulong Wang

SpectralGap: Graph-Level Out-of-Distribution Detection via Laplacian Eigenvalue Gaps

Jiawei Gu, Ziyue Qiao, Zechao Li

ADPFedGNN: Adaptive Decoupling Personalized Federated Graph Neural Network

Zeli Guan, Yawen Li, Junping Du, Runqing Tang, Xiaolong Meng

Disentangling Multi-view Representations via Curriculum Learning with Learnable Prior

Kai Guo, Jiedong Wang, Xi Peng, Peng Hu, Hao Wang

Towards Debiased Generalized Category Discovery

Pengcheng Guo, Yonghong Song, Boyu Wang

PNAct: Crafting Backdoor Attacks in Safe Reinforcement Learning

Weiran Guo, Guanjun Liu, Ziyuan Zhou, Ling Wang

Integrating Independent Layer-Wise Rank Selection with Low-Rank SVD Training for Model Compression: A Theory-Driven Approach

Yifan Guo, Alyssa Yu

Approximated Behavioral Metric-based State Projection for Federated Reinforcement Learning

Zengxia Guo, Bohui An, Zhongqi Lu

Human-Imperceptible, Machine-Recognizable Images

Fusheng Hao, Fengxiang He, Yikai Wang, Fuxiang Wu, Jing Zhang, Dacheng Tao, Jun Cheng

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning

Somnath Hazra, Pallab Dasgupta, Soumyajit Dey

Q-Detection: A Quantum-Classical Hybrid Poisoning Attack Detection Method

Haoqi He, Xiaokai Lin, Jiancai Chen, Yan Xiao

Graph Embedded Contrastive Learning for Multi-View Clustering

Hongqing He, Jie Xu, Guoqiu Wen, Yazhou Ren, Na Zhao, Xiaofeng Zhu

Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space

Xin He, Yili Wang, Wenqi Fan, Xu Shen, Xin Juan, Rui Miao, Xin Wang

An Inverse Optimization Approach to Contextual Inverse Optimization

Yasunari Hikima, Naoyuki Kamiyama

FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition

Chen Hu, Hanchi Ren, Jingjing Deng, Xianghua Xie, Xiaoke Ma

A Correlation Manifold Self-Attention Network for EEG Decoding

Chen Hu, Rui Wang, Xiaoning Song, Tao Zhou, Xiao-Jun Wu, Nicu Sebe, Ziheng Chen

Model-Based Closed-Loop Control Algorithm for Stochastic Partial Differential Equation Control

Peiyan Hu, Haodong Feng, Yue Wang, Zhiming Ma

Probabilistic Multimodal Learning with von Mises-Fisher Distributions

Peng Hu, Yang Qin, Yuanbiao Gou, Yunfan Li, Mouxing Yang, Xi Peng

MSVIT: Improving Spiking Vision Transformer Using Multi-scale Attention Fusion

Wei Hua, Chenlin Zhou, Jibin Wu, Yansong Chua, Yangyang Shu

FedBG: Proactively Mitigating Bias in Cross-Domain Graph Federated Learning Using Background Data

Sheng Huang, Lele Fu, Tianchi Liao, Bowen Deng, Chuanfu Zhang, Chuan Chen

DONIS: Importance Sampling for Training Physics-Informed DeepONet

Shudong Huang, Rui Huang, Ming Hu, Wentao Feng, Jiancheng Lv

Going Beyond Consistency: Target-oriented Multi-view Graph Neural Network

Sujia Huang, Lele Fu, Shuman Zhuang, Yide Qiu, Bo Huang, Zhen Cui, Tong Zhang

Visual Perturbation and Adaptive Hard Negative Contrastive Learning for Compositional Reasoning in Vision-Language Models

Xin Huang, Ruibin Li, Tong Jia, Wei Zheng, Ya Wang

Differentiable Prompt Learning for Vision Language Models

Zhenhan Huang, Tejaswini Pedapati, Pin-Yu Chen, Jianxi Gao

Identifying Drivers of Predictive Aleatoric Uncertainty

Pascal Iversen, Simon Witzke, Katharina Baum, Bernhard Y. Renard

Most General Explanations of Tree Ensembles

Yacine Izza, Akexey Ignatiev, Sasha Rubin, Joao Marques-Silva, Peter J. Stuckey

Learning to Explain: Towards Human-Aligned Explainability in Deep Reinforcement Learning via Attention Guidance

Bokai Ji, Guangxia Li, Yulong Shen, Gang Xiao

Heterogeneous Federated Learning with Scalable Server Mixture-of-Experts

Jingang Jiang, Yanzhao Chen, Xiangyang Liu, Haiqi Jiang, Chenyou Fan

Interactive Multimodal Learning via Flat Gradient Modification

Qing-Yuan Jiang, Zhouyang Chi, Yang Yang

FedCPD:Personalized Federated Learning with Prototype-Enhanced Representation and Memory Distillation

Kaili Jin, Li Xu, Xiaoding Wang, Sun-Yuan Hsieh, Jie Wu, Limei Lin

A Multi-view Fusion Approach for Enhancing Speech Signals via Short-time Fractional Fourier Transform

Zikun Jin, Yuhua Qian, Xinyan Liang, Haijun Geng

Where and How to Enhance: Discovering Bit-Width Contribution for Mixed Precision Quantization

Haidong Kang, Lianbo Ma, Guo Yu, Shangce Gao

Modular Deep Reinforcement Learning for Multi-Workload Offloading in Edge Networks

Hongchang Ke, Yan Ding, Lin Pan, Yang Chen, Jia Zhao

StarFT: Robust Fine-tuning of Zero-shot Models via Spuriosity Alignment

Younghyun Kim, Jongheon Jeong, Sangkyung Kwak, Kyungmin Lee, Juho Lee, Jinwoo Shin

Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning

Zhiqiang Kou, Si Qin, Hailin Wang, Jing Wang, Mingkun Xie, Shuo Chen, Yuheng Jia, Tongliang Liu, Masashi Sugiyama, Xin Geng

Linear Trading Position with Sparse Spectrum

Zhao-Rong Lai, Haisheng Yang

CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting

Minhyuk Lee, Hyekyung Yoon, MyungJoo Kang

Distilling A Universal Expert from Clustered Federated Learning

Zeqi Leng, Chunxu Zhang, Guodong Long, Riting Xia, Bo Yang

CSAHFL:Clustered Semi-Asynchronous Hierarchical Federated Learning for Dual-layer Non-IID in Heterogeneous Edge Computing Networks

Aijing Li, Junping Du, Dandan Liu, Yingxia Shao, Tong Zhao, Guanhua Ye

MiniMal: Hard-Label Adversarial Attack Against Static Malware Detection with Minimal Perturbation

Chengyi Li, Zhiyuan Jiang , Yongjun Wang , Tian Xia , Yayuan Zhang , Yuhang Mao

Leveraging Peer-Informed Label Consistency for Robust Graph Neural Networks with Noisy Labels

Kailai Li, Jiawei Sun, Jiong Lou, Zhanbo Feng, Hefeng Zhou, Chentao Wu, Guangtao Xue, Wei Zhao, Jie Li

TsCA: On the Semantic Consistency Alignment via Conditional Transport for Compositional Zero-Shot Learning

Miaoge Li, Jingcai Guo, Richard Yi Da Xu, Dongsheng Wang, Xiaofeng Cao, Zhijie Rao, Song Guo

Efficient Differentiable Approximation of Generalized Low-rank Regularization

Naiqi Li, Yuqiu Xie, Peiyuan Liu, Tao Dai, Yong Jiang, Shu-Tao Xia

Transferable Relativistic Predictor: Mitigating Cross-Task Cold-Start Issue in NAS

Nan Li, Bing Xue, Lianbo Ma, Mengjie Zhang

Conditional Information Bottleneck-Based Multivariate Time Series Forecasting

Xinhui Li, Liang Duan, Lixing Yu, Kun Yue, Yuehua Li

FAST: A Lightweight Mechanism Unleashing Arbitrary Client Participation in Federated Learning

Zhe Li, Seyedsina Nabavirazavi, Bicheng Ying, Sitharama Iyengar, Haibo Yang

Uncertainty-guided Graph Contrastive Learning from a Unified Perspective

Zhiqiang Li, Jie Wang, Jianqing Liang, Junbiao Cui, Xingwang Zhao, Jiye Liang

SIFAR: A Simple Faster Accelerated Variance-Reduced Gradient Method

Zhize Li

Critical Node-aware Augmentation for Hypergraph Contrastive Learning

Zhuo Li, Yuena Lin, Yipeng Wang, Wenmao Liu, Mingliang Yu, Zhen Yang, Gengyu Lyu

View-Association-Guided Dynamic Multi-View Classification

Xinyan Liang, Li Lv, Qian Guo, Bingbing Jiang, Feijiang Li, Liang Du, Lu Chen

Federated Domain Generalization with Decision Insight Matrix

Tianchi Liao, Binghui Xie, Lele Fu, Sheng Huang, Bowen Deng, Chuan Chen, Zibin Zheng

A Primal-dual Perspective for Distributed TD-learning

Han Dong Lim, Donghwan Lee

RepObE: Representation Learning-Enhanced Obfuscation Encryption Modular Semantic Task Framework

Limei Lin, Jinpeng Xu, Xiaoding Wang, Liang Chen, Sun-Yuan Hsieh, Jie Wu

Gradient-based Causal Feature Selection

Zhaolong Ling, Mengxiang Guo, Xingyu Wu, Debo Cheng, Peng Zhou, Tianci Li, Zhangling Duan

Hybrid Local Causal Discovery

Zhaolong Ling, Honghui Peng, Yiwen Zhang, Debo Cheng, Xingyu Wu, Peng Zhou, Kui Yu

Identifying and Reusing Learnwares Across Different Label Spaces

Jian-Dong Liu, Zhi-Hao Tan, Zhi-Hua Zhou

Trajectory-Dependent Generalization Bounds for Pairwise Learning with φ-mixing Samples

Liyuan Liu, Hong Chen, Weifu Li, Tieliang Gong, Hao Deng, Yulong Wang

CFDONEval: A Comprehensive Evaluation of Operator-Learning Neural Network Models for Computational Fluid Dynamics

Menghan Liu, Jianhuan Cen, Ziyang Zhou, Haolong Fan, Hongji Li, Ping Wei, Guohang Peng, Changye He, Yuzhe Qin, Yutong Lu, Qingsong Zou

Consensus-Guided Incomplete Multi-view Clustering via Cross-view Affinities Learning

Qian Liu, Huibing Wang, Jinjia Peng, Yawei Chen, Mingze Yao, Xianping Fu, Yang Wang

Imagination-Limited Q-Learning for Offline Reinforcement Learning

Wenhui Liu, Zhijian Wu, Jingchao Wang, Dingjiang Huang, Shuigeng Zhou

DUQ: Dual Uncertainty Quantification for Text-Video Retrieval

Xin Liu, Shibai Yin, Jun Wang, Jiaxin Zhu, Xingyang Wang, Yee-Hong Yang

RTdetector: Deep Transformer Networks for Time Series Anomaly Detection Based on Reconstruction Trend

Xinhong Liu, Xiaoliang Li, Yangfan Li, Fengxiao Tang, Ming Zhao

Optimal Policy Adaptation Under Covariate Shift

Xueqing Liu, Qinwei Yang, Zhaoqing Tian, Ruocheng Guo, Peng Wu

Generic Adversarial Attack Framework Against Vertical Federated Learning

Yimin Liu, Peng Jiang

Enhancing Semantic Clarity: Discriminative and Fine-grained Information Mining for Remote Sensing Image-Text Retrieval

Yu Liu, Haipeng Chen, Yuheng Liang, Yuheng Yang, Xun Yang, Yingda Lyu

A Fast-Adaptive Cognitive Diagnosis Framework for Computerized Adaptive Testing Systems

Yuanhao Liu, Yiya You, Shuo Liu, Hong Qian, Ying Qian, Aimin Zhou

A Neuro-Symbolic Framework for Sequence Classification with Relational and Temporal Knowledge

Luca Salvatore Lorello, Marco Lippi, Stefano Melacci

Multi-Omics Analysis for Cancer Subtype Inference via Unrolling Graph Smoothness Priors

Jielong Lu, Zhihao Wu, Jiajun Yu, Jiajun Bu, Haishuai Wang

Prototype-guided Knowledge Propagation with Adaptive Learning for Lifelong Person Re-identification

Zhijie Lu, Wuxuan Shi, He Li, Mang Ye

Capturing Individuality and Commonality Between Anchor Graphs for Multi-View Clustering

Zhoumin Lu, Yongbo Yu, Linru Ma, Feiping Nie, Rong Wang

Guiding LLM-based Smart Contract Generation with Finite State Machine

Hao Luo, Yuhao Lin, Xiao Yan, Xintong Hu, Yuxiang Wang, Qiming Zeng, Hao Wang, Jiawei Jiang

Find and Perceive: Tell Visual Change with Fine-Grained Comparison

Feixiao Lv, Rui Wang, Lihua Jing, Lijun Liu

BMIP: Bi-directional Modality Interaction Prompt Learning for VLM

Song-Lin Lv, Yu-Yang Chen, Zhi Zhou, Ming Yang, Lan-Zhe Guo

RLBCD: Residual-guided Latent Brownian-bridge Co-Diffusion for Anatomical-to-Metabolic Image Synthesis

Tianxu Lv, Hongnian Tian, Jiansong Fan, Yuan Liu, Lihua Li, Xiang Pan

Expanding the Category of Classifiers with LLM Supervision

Derui Lyu, Xiangyu Wang, Taiyu Ban, Lyuzhou Chen, Xiren Zhou, Huanhuan Chen

MCF-Spouse: A Multi-Label Causal Feature Selection Method with Optimal Spouses Discovery

Lin Ma, Liang Hu, Qiang Huang, Pingting Hao, Juncheng Hu

Consistency-Aware Padding for Incomplete Multi-Modal Alignment Clustering Based on Self-Repellent Greedy Anchor Search

Shubin Ma, Liang Zhao, Mingdong Lu, Yifan Guo, Bo Xu

A-I-RAVEN and I-RAVEN-Mesh: Two New Benchmarks for Abstract Visual Reasoning

Mikołaj Małkiński, Jacek Mańdziuk

Advancing Generalization Across a Variety of Abstract Visual Reasoning Tasks

Mikołaj Małkiński, Jacek Mańdziuk

NeSyA: Neurosymbolic Automata

Nikolaos Manginas, George Paliouras, Luc De Raedt

Mitigating Over-Smoothing in Graph Neural Networks via Separation Coefficient-Guided Adaptive Graph Structure Adjustment

Hanyang Meng, Jielong Yang, Li Peng

S-EPOA: Overcoming the Indistinguishability of Segments with Skill-Driven Preference-Based Reinforcement Learning

Ni Mu, Yao Luan, Yiqin Yang, Bo Xu, Qing-Shan Jia

A Case for Validation Buffer in Pessimistic Actor-Critic

Michał Nauman, Mateusz Ostaszewski, Marek Cygan

Robult: Leveraging Redundancy and Modality-Specific Features for Robust Multimodal Learning

Duy A. Nguyen, Abhi Kamboj, Minh N. Do

Beyond the Known: Decision Making with Counterfactual Reasoning Decision Transformer

Minh Hoang Nguyen, Linh Le Pham Van, Thommen George Karimpanal, Sunil Gupta, Hung Le

SALE-MLP: Structure Aware Latent Embeddings for GNN to Graph-free MLP Distillation

Harsh Pal, Sarthak Malik, Rajat Patel, Aakarsh Malhotra

Multi-granularity Knowledge Transfer for Continual Reinforcement Learning

Chaofan Pan, Lingfei Ren, Yihui Feng, Linbo Xiong, Wei Wei, Yonghao Li, Xin Yang

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach

Huazi Pan, Yanjun Zhang, Leo Yu Zhang, Scott Adams, Abbas Kouzani, Suiyang Khoo

LLM-TPF: Multiscale Temporal Periodicity-Semantic Fusion LLMs for Time Series Forecasting

Qihong Pan, Haofei Tan, Guojiang Shen, Xiangjie Kong, Mengmeng Wang, Chenyang Xu

Stability and Generalization for Stochastic (Compositional) Optimizations

Xiaokang Pan, Jin Liu, Hulin Kuang, Youqi Li, Lixing Chen, Zhe Qu

Dynamic Higher-Order Relations and Event-Driven Temporal Modeling for Stock Price Forecasting

Kijeong Park, Sungchul Hong, Jong-June Jeon

Fast Guaranteed Tensor Recovery with Adaptive Tensor Nuclear Norm

Jiangjun Peng, Hailin Wang, Xiangyong Cao, Shuang Xu

Beyond Low-rankness: Guaranteed Matrix Recovery via Modified Nuclear Norm

Jiangjun Peng, Yisi Luo, Xiangyong Cao, Shuang Xu, Deyu Meng

Heterophily-Aware Personalized PageRank for Node Classification

Giuseppe Pirrò

Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization

Zhuang Qi, Sijin Zhou, Lei Meng, Han Hu, Han Yu, Xiangxu Meng

MsRAG: Knowledge Augumented Image Captioning with Object-level Multi-source RAG

Yuming Qiao, Yuechen Wang, Dan Meng, Haonan Lu, Zhenyu Yang, Xudong Zhang

Exploring Transferable Homogenous Groups for Compositional Zero-Shot Learning

Zhijie Rao, Jingcai Guo, Miaoge Li, Yang Chen, Mengzhu Wang

Optimizing Parameters of Quantum Circuits with Sparsity-Inducing Coordinate Descent

Rudy Raymond, Zichang He

What Can We Learn From MIMO Graph Convolutions?

Andreas Roth, Thomas Liebig

Breaking the Self-Evaluation Barrier: Reinforced Neuro-Symbolic Planning with Large Language Models

Jie-Jing Shao, Hong-Jie You, Guohao Cai, Quanyu Dai, Zhenhua Dong, Lan-Zhe Guo

In-Context Meta LoRA Generation

Yihua Shao, Minxi Yan, Yang Liu, Siyu Chen, Wenjie Chen, Xinwei Long, Ziyang Yan, Lei Li, Chenyu Zhang, Nicu Sebe, Hao Tang, Yan Wang, Hao Zhao, Mengzhu Wang, Jingcai Guo

QuantileFormer: Probabilistic Time Series Forecasting with a Pattern-Mixture Decomposed VAE Transformer

Yimiao Shao, Wenzhong Li, Kang Xia, Kaijie Lin, Mingkai Lin, Sanglu Lu

HGEN: Heterogeneous Graph Ensemble Networks

Jiajun Shen, Yufei Jin, Kaibu Feng, Yi He, Xingquan Zhu

MATCH: Modality-Calibrated Hypergraph Fusion Network for Conversational Emotion Recognition

Jiandong Shi, Ming Li, Lu Bai, Feilong Cao, Ke Lu, Jiye Liang

Latte: Transfering LLMs' Latent-level Knowledge for Few-shot Tabular Learning

Ruxue Shi, Hengrui Gu, Hangting Ye, Yiwei Dai, Xu Shen, Xin Wang

GSDNet: Revisiting Incomplete Multimodality-Diffusion Emotion Recognition from the Perspective of Graph Spectrum

Yuntao Shou, Jun Yao, Tao Meng, Wei Ai, Cen Chen, Keqin Li

Metapath and Hypergraph Structure-based Multi-Channel Graph Contrastive Learning for Student Performance Prediction

Lingyun Song, Xiaofan Sun, Xinbiao Gan, Yudai Pan, Xiaolin Han, Jie Ma, Jun Liu, Xuequn Shang

RotateKV: Accurate and Robust 2-Bit KV Cache Quantization for LLMs via Outlier-Aware Adaptive Rotations

Zunhai Su, Hanyu Wei, Zhe Chen, Wang Shen, Linge Li, Huangqi Yu, Kehong Yuan

Recalling The Forgotten Class Memberships: Unlearned Models Can Be Noisy Labelers to Leak Privacy

Zhihao Sui, Liang Hu, Jian Cao, Dora D. Liu, Usman Naseem, Zhongyuan Lai, Qi Zhang

FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data

Yuxia Sun, Aoxiang Sun, Siyi Pan, Zhixiao Fu, Jingcai Guo

Connecting Giants: Synergistic Knowledge Transfer of Large Multimodal Models for Few-Shot Learning

Hao Tang, Shengfeng He, Jing Qin

InstGAN: Instant Actor-Critic-Driven GAN for De Novo Molecule Generation and Property Optimization

Huidong Tang, Chen Li, Sayaka Kamei, Yoshihiro Yamanishi, Yasuhiko Morimoto

Avoiding Undesired Future with Sequential Decisions

Lue Tao, Tian-Zuo Wang, Yuan Jiang, Zhi-Hua Zhou

Rule-Guided Reinforcement Learning Policy Evaluation and Improvement

Martin Tappler, Ignacio D. Lopez-Miguel, Sebastian Tschiatschek, Ezio Bartocci

Enhancing Transferability of Audio Adversarial Example for Both Frequency- and Time-domain

Zilin Tian, Yunfei Long, Liguo Zhang, Jiahong Zhao

Meta Label Correction with Generalization Regularizer

Tao Tong, Yujie Mo, Yucheng Xie, Songyue Cai, Xiaoshuang Shi, Xiaofeng Zhu

A Symmetric Relative-Error Loss Function for Intermittent Multiscale Signal Modelling

Sergio M. Vanegas Arias, Lasse Lensu, Fredy Ruiz Palacios

Diffuse&Refine: Intrinsic Knowledge Generation and Aggregation for Incremental Object Detection

Jianzhou Wang, Yirui Wu, Lixin Yuan, Wenxiao Zhang, Jun Liu, Junyang Chen, Huan Wang, Wenhai Wang

Learning Robust Multi-view Representation Using Dual-masked VAEs

Jiedong Wang, Kai Guo, Peng Hu, Xi Peng, Hao Wang

High-Fidelity Road Network Generation with Latent Diffusion Models

Jinming Wang, Hongkai Wen, Geyong Min, Man Luo

Dynamic Multiple High-order Correlations Fusion with Noise Filtering for Incomplete Multi-view Noisy-label Learning

Kaixiang Wang, Xiaojian Ding, Fan Yang

From Individual to Universal: Regularized Multi-view Joint Representation for Multi-view Subspace-Preserving Recovery

Libin Wang, Yulong Wang, Xinwei He, Qiwei Xie, Kit Ian Kou, Yuan Yan Tang

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation

Maolin Wang, Tianshuo Wei, Sheng Zhang, Ruocheng Guo, Wangyu Wang, Shanshan Ye, Lixin Zou, Xuetao Wei, Xiangyu Zhao

FedCM: Client Clustering and Migration in Federated Learning via Gradient Path Similarity and Update Direction Deviation

Peng Wang, Shoupeng Lu, Hao Yin, Banglie Yang, Tianli Zhu, Cheng Dai

A Simple yet Effective Hypergraph Clustering Network

Qianqian Wang, Bowen Zhao, Zhengming Ding, Xiangdong Zhang, Quanxue Gao

Efficient Multi-view Clustering via Reinforcement Contrastive Learning

Qianqian Wang, Haiming Xu, Zihao Zhang, Zhiqiang Tao, Quanxue Gao

Enhanced Unsupervised Discriminant Dimensionality Reduction for Nonlinear Data

Qianqian Wang, Mengping Jiang, Wei Feng, Zhengming Ding

Fair Incomplete Multi-View Clustering via Distribution Alignment

Qianqian Wang, Haiming Xu, Meiling Liu, Wei Feng, Xiangdong Zhang

Improving Generalization in Meta-Learning via Meta-Gradient Augmentation

Ren Wang, Haoliang Sun, Yuxiu Lin, Xinxin Zhang, Yilong Yin

Towards Robust Incremental Learning Under Ambiguous Supervision

Rui Wang, Mingxuan Xia, Haobo Wang, Lei Feng, Junbo Zhao, Gang Chen, Chang Yao

An Association-based Fusion Method for Speech Enhancement

Shijie Wang, Qian Guo, Lu Chen, Liang Du, Zikun Jin, Zhian Yuan, Xinyan Liang

MASTER: A Multi-granularity Invariant Structure Clustering Scheme for Multi-view Clustering

Suixue Wang, Shilin Zhang, Qingchen Zhang, Peng Li, Weiliang Huo

On the Discrimination and Consistency for Exemplar-Free Class Incremental Learning

Tianqi Wang, Jingcai Guo, Depeng Li, Zhi Chen

In-context Learning Demonstration Generation with Text Distillation

Wuyuqing Wang, Erkun Yang, Zilan Zhou, Cheng Deng

Enhancing Counterfactual Estimation: A Focus on Temporal Treatments

Xin Wang, Shengfei Lyu, Kangyang Luo, Lishan Yang, Huanhuan Chen, Chunyan Miao

Learn Multi-task Anchor: Joint View Imputation and Label Generation for Incomplete Multi-view Clustering

Xinxin Wang, Yongshan Zhang, Yicong Zhou

A Fast and Accurate ANN-SNN Conversion Algorithm with Negative Spikes

Xu Wang, Dongchen Zhu, Jiamao Li

Reliable Disentanglement Multi-view Learning Against View Adversarial Attacks

Xuyang Wang, Siyuan Duan, Qizhi Li, Guiduo Duan, Yuan Sun, Dezhong Peng

AdaR: An Adaptive Gradient Method with Cyclical Restarting of Moment Estimations

Yangchuan Wang, Lianhong Ding, Peng Shi

All Roads Lead to Rome: Exploring Edge Distribution Shifts for Heterophilic Graph Learning

Yi Wang, Changqin Huang, Ming Li, Tingyi Cai, Zhonglong Zheng, Xiaodi Huang

BILE: An Effective Behavior-based Latent Exploration Scheme for Deep Reinforcement Learning

Yiming Wang, Kaiyan Zhao, Yan Li, Leong Hou U

Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networks

Yumeng Wang, Zengyi Wo, Wenjun Wang, Xingcheng Fu, Minglai Shao

From End-to-end to Step-by-step: Learning to Abstract via Abductive Reinforcement Learning

Zilong Wang, Jiongda Wang, Xiaoyong Chen, Meng Wang, Ming Ma, ZhiPeng Wang, Zhenyu Zhou, Tianming Yang, Wang-Zhou Dai

SCNNs: Spike-based Coupling Neural Networks for Understanding Structural-Functional Relationships in the Human Brain

Shaolong Wei, Shu Jiang, Mingliang Wang, Liang Sun, Haonan Rao, Weiping Ding, Jiashuang Huang

Curriculum Abductive Learning for Mitigating Reasoning Shortcuts

Wen-Da Wei, Xiao-Wen Yang, Jie-Jing Shao, Lan-Zhe Guo

Evolvable Conditional Diffusion

Zhao Wei, Chin Chun Ooi, Abhishek Gupta, Jian Cheng Wong, Pao-Hsiung Chiu, Sheares Xue Wen Toh, Yew-Soon Ong

Fast Second-Order Online Kernel Learning Through Incremental Matrix Sketching and Decomposition

Dongxie Wen, Xiao Zhang, Zhewei Wei, Chenping Hou, Shuai Li, Weinan Zhang

Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain

Hyowon Wi, Jeongwhan Choi, Noseong Park

Imputation-free Incomplete Multi-view Clustering via Knowledge Distillation

Benyu Wu, Wei Du, Jun Wang, Guoxian Yu

Wave-driven Graph Neural Networks with Energy Dynamics for Over-smoothing Mitigation

Peihan Wu, Hongda Qi, Sirong Huang, Dongdong An, Jie Lian, Qin Zhao

Zero-shot Federated Unlearning via Transforming from Data-Dependent to Personalized Model-Centric

Wenhan Wu, Huanghuang Liang, Jingling Yuan, Jiawei Jiang, Kanye Ye Wang, Chuang Hu, Xiaobo Zhou, Dazhao Cheng

General Incomplete Time Series Analysis via Patch Dropping Without Imputation

Yangyang Wu, Yi Yuan, Mengying Zhu, Xiaoye Miao, Meng Xi

Boosting Few-Shot Open-Set Object Detection via Prompt Learning and Robust Decision Boundary

Zhaowei Wu, Binyi Su, Qichuan Geng, Hua Zhang, Zhong Zhou

Divide and Conquer: Coordinating Multiplex Mixture of Graph Learners to Handle Multi-Omics Analysis

Zhihao Wu, Jielong Lu, Jiajun Yu, Sheng Zhou, Yueyang Pi, Haishuai Wang

LRGR: Self-Supervised Incomplete Multi-View Clustering via Local Refinement and Global Realignment

Yanwanyu Xi, Xiao Zheng, Chang Tang, Xingchen Hu, Yuanyuan Liu, Jun-Jie Huang, Xinwang Liu

Granular-Ball-Induced Multiple Kernel K-Means

Shuyin Xia, Yifan Wang, Lifeng Shen, Guoyin Wang

Efficient Quantum Approximate kNN Algorithm via Granular-Ball Computing

Shuyin Xia, Xiaojiang Tian, Suzhen Yuan, Jeremiah D. Deng

Relation-Augmented Dueling Bayesian Optimization via Preference Propagation

Xiang Xia, Xiang Shu, Shuo Liu, Yiyi Zhu, Yijie Zhou, Weiye Wang, Bingdong Li, Hong Qian

Escaping Saddle Point Efficiently in Minimax and Bilevel Optimizations

Wenhan Xian, Feihu Huang, Heng Huang

Spatially Resolved Transcriptomics Data Clustering with Tailored Spatial-scale Modulation

Yuang Xiao, Yanran Zhu, Chang Tang, Xiao Zheng, Yuanyuan Liu, Kun Sun, Xinwang Liu

Partial Label Clustering

Yutong Xie, Fuchao Yang, Yuheng Jia

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning Under Two-sided Incomplete Information

Yun Xin, Jianfeng Lu, Shuqin Cao, Gang Li, Haozhao Wang, Guanghui Wen

Beyond Statistical Analysis: Multimodal Framework for Time Series Forecasting with LLM-Driven Temporal Pattern

Jiahong Xiong, Chengsen Wang, Haifeng Sun, Yuhan Jing, Qi Qi, Zirui Zhuang, Lei Zhang, Jianxin Liao, Jingyu Wang

On the Generalization of Feature Incremental Learning

Chao Xu, Xijia Tang, Lijun Zhang, Chenping Hou

Continuous Diffusive Prediction Network for Multi-Station Weather Prediction

Chujie Xu, Yuqing Ma, Haoyuan Deng, Yajun Gao, Yudie Wang, Kai Lv, Xianglong Liu

On the Learning with Augmented Class via Forests

Fan Xu, Wuyang Chen, Wei Gao

TCDM: A Temporal Correlation-Empowered Diffusion Model for Time Series Forecasting

Huibo Xu, Likang Wu, Xianquan Wang, Zhiding Liu, Qi Liu

Dynamic Anchor-based Ensemble Clustering via Hypergraph Reconstruction

Jiaxuan Xu, Lei Duan, Xinye Wang, Liang Du

A Priori Estimation of the Approximation, Optimization and Generalization Errors of Random Neural Networks for Solving Partial Differential Equations

Xianliang Xu, Ye Li, Zhongyi Huang

Predicting Spectral Information for Self-Supervised Signal Classification

Yi Xu, Shuang Wang, Hantong Xing, Chenxu Wang, Dou Quan, Rui Yang, Dong Zhao, Luyang Mei

No Regret Reinforcement Learning Algorithms for Online Scheduling with Multi-Stage Tasks

Yongxin Xu, Hengquan Guo, Ziyu Shao, Xin Liu

Problem-dependent Regret for Lexicographic Multi-Armed Bandits with Adversarial Corruptions

Bo Xue, Xi Lin, Yuanyu Wan, Qingfu Zhang

Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification

Xiaoshuo Yan, Zhaochuan Li, Lei Meng, Zhuang Qi, Wei Wu, Zixuan Li, Xiangxu Meng

Multi-view Clustering via Multi-granularity Ensemble

Jie Yang, Wei Chen, Feng Liu, Peng Zhou, Zhongli Wang, Xinyan Liang, Bingbing Jiang

Decoupling and Reconstructing: A Multimodal Sentiment Analysis Framework Towards Robustness

Mingzheng Yang, Kai Zhang, Yuyang Ye, Yanghai Zhang, Runlong Yu, Min Hou

Smoothed Online Convex Optimization with Delayed Feedback

Sifan Yang, Wenhao Yang, Wei Jiang, Yuanyu Wan, Lijun Zhang

From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination

Chang Yao, Youfang Lin, Shoucheng Song, Hao Wu, Yuqing Ma, Sheng Han, Kai Lv

Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization

Xinhao Yao, Hongjin Qian, Xiaolin Hu, Gengze Xu, Wei Liu, Jian Luan, Bin Wang, Yong Liu

Learning Heterogeneous Performance-Fairness Trade-offs in Federated Learning

Rongguang Ye, Ming Tang

M4Bench: A Benchmark of Multi-domain Multi-granularity Multi-image Understanding for Multi-modal Large Language Models

Xiaojun Ye, Guanbao Liang, Chun Wang, Liangcheng Li, Pengfei Ke, Rui Wang, Bingxin Jia, Gang Huang, Qiao Sun, Sheng Zhou

Run Like a Neural Network, Explain Like k-Nearest Neighbor

Xiaomeng Ye, David Leake, Yu Wang, David Crandall

ExpertDiff: Head-less Model Reprogramming with Diffusion Classifiers for Out-of-Distribution Generalization

Jee Seok Yoon, Junghyo Sohn, Wootaek Jeong, Heung-Il Suk

Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property

Yuya Yoshikawa, Masanari Kimura, Ryotaro Shimizu, Yuki Saito

Boost Embodied AI Models with Robust Compression Boundary

Chong Yu, Tao Chen, Zhongxue Gan

Exploiting Label Skewness for Spiking Neural Networks in Federated Learning

Di Yu, Xin Du, Linshan Jiang, Huijing Zhang, Shuiguang Deng

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks

Di Yu, Changze Lv, Xin Du, Linshan Jiang, Wentao Tong, Zhenyu Liao, Xiaoqing Zheng, Shuiguang Deng

Wrapped Partial Label Dimensionality Reduction via Dependence Maximization

Xiang-Ru Yu, Deng-Bao Wang, Min-Ling Zhang

FedSaaS: Class-Consistency Federated Semantic Segmentation via Global Prototype Supervision and Local Adversarial Harmonization

Xiaoyang Yu, Xiaoming Wu, Xin Wang, Dongrun Li, Ming Yang, Peng Cheng

A Multi-Granularity Clustering Approach for Federated Backdoor Defense with the Adam Optimizer

Jidong Yuan, Qihang Zhang, Naiyue Chen, Shengbo Chen, Baomin Xu

Collaborative Multi-LoRA Experts with Achievement-based Multi-Tasks Loss for Unified Multimodal Information Extraction

Li Yuan, Yi Cai, Xudong Shen, Qing Li, Qingbao Huang, Zikun Deng, Tao Wang

Multi-Task Curriculum Graph Contrastive Learning with Clustering Entropy Guidance

Chusheng Zeng, Bocheng Wang, Jinghui Yuan, Mulin Chen, Xuelong Li

Accelerating Adversarial Training on Under-Utilized GPU

Zhuoxin Zhan, Ke Wang, Pulei Xiong

Rethinking Federated Graph Learning: A Data Condensation Perspective

Hao Zhang, Xunkai Li, Yinlin Zhu, Lianglin Hu

On the Power of Optimism in Constrained Online Convex Optimization

Haobo Zhang, Hengquan Guo, Xin Liu

Deduction with Induction: Combining Knowledge Discovery and Reasoning for Interpretable Deep Reinforcement Learning

Haodi Zhang, Xiangyu Zeng, Junyang Chen, Yuanfeng Song, Rui Mao, Fangzhen Lin

Conditional Denoising Meets Polynomial Modeling: A Flexible Decoupled Framework for Time Series Forecasting

Jintao Zhang, Mingyue Cheng, Xiaoyu Tao, Zhiding Liu, Daoyu Wang

Model Rake: A Defense Against Stealing Attacks in Split Learning

Qinbo Zhang, Xiao Yan, Yanfeng Zhao, Fangcheng Fu, Quanqing Xu, Yukai Ding, Xiaokai Zhou, Chuang Hu, Jiawei Jiang

Aligning Contrastive Multiple Clusterings with User Interests

Shan Zhang, Liangrui Ren, Jun Wang, Yanyu Xu, Carlotta Domeniconi, Guoxian Yu

LEKA: LLM-Enhanced Knowledge Augmentation

Xinhao Zhang, Jinghan Zhang, Fengran Mo, Dongjie Wang, Yanjie Fu, Kunpeng Liu

Dynamic and Adaptive Feature Generation with LLM

Xinhao Zhang, Jinghan Zhang, Banafsheh Rekabdar, Yuanchun Zhou, Pengfei Wang, Kunpeng Liu

QiMeng-TensorOp: One-Line Prompt is Enough for High-Performance Tensor Operator Generation with Hardware Primitives

Xuzhi Zhang, Shaohui Peng, Qirui Zhou, Yuanbo Wen, Qi Guo, Ruizhi Chen, Xinguo Zhu, Weiqiang Xiong, Haixin Chen, Congying Ma, Ke Gao, Chen Zhao, Yanjun Wu, Yunji Chen, Ling Li

Federated Stochastic Bilevel Optimization with Fully First-Order Gradients

Yihan Zhang, Rohit Dhaipule, Chiu C. Tan, Haibin Ling, Hongchang Gao

CRAFT: Time Series Forecasting with Cross-Future Behavior Awareness

Yingwei Zhang, Ke Bu, Zhuoran Zhuang, Tao Xie, Yao Yu, Dong Li, Yang Guo, Detao Lv

Graph OOD Detection via Plug-and-Play Energy-based Evaluation and Propagation

Yunxia Zhang, Mingchen Sun, Yutong Zhang, Funing Yang, Ying Wang

AdaptPFL: Unlocking Cross-Device Palmprint Recognition via Adaptive Personalized Federated Learning with Feature Decoupling

Zirui Zhang, Donghai Guan, Çetin Kaya Koç, Jie Wen, Qi Zhu

Efficient Diversity-based Experience Replay for Deep Reinforcement Learning

Kaiyan Zhao, Yiming Wang, Yuyang Chen, Yan Li, Leong Hou U, Xiaoguang Niu

Dual Robust Unbiased Multi-View Clustering for Incomplete and Unpaired Information

Liang Zhao, Ziyue Wang, Chuanye He, Qingchen Zhang, Bo Xu

DM-POSA: Enhancing Open-World Test-Time Adaptation with Dual-Mode Matching and Prompt-Based Open Set Adaptation

Shiji Zhao, Shao-Yuan Li, Chuanxing Geng, Sheng-Jun Huang, Songcan Chen

Instance Relation Learning Network with Label Knowledge Propagation for Few-shot Multi-label Intent Detection

Shiman Zhao, Shangyuan Li, Wei Chen, Tengjiao Wang, Jiahui Yao, Jiabin Zheng, Kam-Fai Wong

High-Confident Local Structure Guided Consensus Graph Learning For Incomplete Multi-view Clustering

Shuping Zhao, Lunke Fei, Qi Lai, Jie Wen, Jinrong Cui, Tingting Chai

PerfSeer: An Efficient and Accurate Deep Learning Models Performance Predictor

Xinlong Zhao, Jiande Sun, Jia Zhang, Tong Liu, Ke Liu

Negative Metric Learning for Graphs

Yiyang Zhao, Chengpei Wu, Lilin Zhang, Ning Yang

ShortcutProbe: Probing Prediction Shortcuts for Learning Robust Models

Guangtao Zheng, Wenqian Ye, Aidong Zhang

A Dynamic Stiefel Graph Neural Network for Efficient Spatio-Temporal Time Series Forecasting

Jiankai Zheng, Liang Xie

Dual-Balancing for Physics-Informed Neural Networks

Chenhong Zhou, Jie Chen, Zaifeng Yang, Ching Eng Png

Enhancing the Performance of Global Model by Improving the Adaptability of Local Models in Federated Learning

Wujun Zhou, Shu Ding, Zelin Li, Wei Wang

Robustness to Spurious Correlations via Dynamic Knowledge Transfer

Xiaoling Zhou, Wei Ye, Zhemg Lee, Shikun Zhang

Self-Consistent Model-based Adaptation for Visual Reinforcement Learning

Xinning Zhou, Chengyang Ying, Yao Feng, Hang Su, Jun Zhu

Underground Diagnosis in 3D GPR Data by Learning in CuCoRes Model Space

Xiren Zhou, Shikang Liu, Xinyu Yan, Xiangyu Wang, Huanhuan Chen

Fault Diagnosis in REDNet Model Space

Xiren Zhou, Ziyu Tang, Shikang Liu, Ao Chen, Xiangyu Wang, Huanhuan Chen

CADP: Towards Better Centralized Learning for Decentralized Execution in MARL

Yihe Zhou, Shunyu Liu, Yunpeng Qing, Tongya Zheng, Kaixuan Chen, Jie Song, Mingli Song

CGI: Identifying Conditional Generative Models with Example Images

Zhi Zhou, Hao-Zhe Tan, Peng-Xiao Song, Lan-Zhe Guo

Injecting Imbalance Sensitivity for Multi-Task Learning

Zhipeng Zhou, Liu Liu, Peilin Zhao, Wei Gong

Towards Improved Risk Bounds for Transductive Learning

Bowei Zhu, Shaojie Li, Yong Liu

Sample-Efficient Behavior Cloning Using General Domain Knowledge

Feiyu Zhu, Jean Oh, Reid Simmons

Finite-Time Analysis of Heterogeneous Federated Temporal Difference Learning

Ye Zhu, Xiaowen Gong, Shiwen Mao

Dyn-D^2P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee

Zehan Zhu, Yan Huang, Xin Wang, Shouling Ji, Jinming Xu

Robust Graph Contrastive Learning for Incomplete Multi-view Clustering

Deyin Zhuang, Jian Dai, Xingfeng Li, Xi Wu, Yuan Sun, Zhenwen Ren

Strategy-Architecture Synergy: A Multi-View Graph Contrastive Paradigm for Consistent Representations

Shuman Zhuang, Zhihao Wu, Yuhong Chen, Zihan Fang, Jiali Yin, Ximeng Liu

Inconsistency-Based Federated Active Learning

Chen-Chen Zong, Tong Jin, Sheng-Jun Huang

Enhanced Graph Similarity Learning via Adaptive Multi-scale Feature Fusion

Cuifang Zou, Guangquan Lu, Wenzhen Zhang, Xuxia Zeng, Shilong Lin, Longqing Du, Shichao Zhang

POLO: An LLM-Powered Project-Level Code Performance Optimization Framework

Jiameng Bai, Ruoyi Xu, Sai Wu, Dingyu Yang, Junbo Zhao, Gang Chen

Dynamic Network Discovery via Infection Tracing

Ben Bals, Michelle Döring, Nicolas Klodt, George Skretas

Logic Distillation: Learning from Code Function by Function for Decision-making Tasks

Dong Chen, Shilin Zhang, Fei Gao, Yueting Zhuang, Siliang Tang, Qidong Liu, Mingliang Xu

TSTAI: A Time-varying Brain Effective Connectivity Network Construction Method Combining with Brain Active Information

Qi Chen, Zhiqiong Wang, Jiaxin Li, Jinying Tao, Junchang Xin

FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers

Tianyu Chen, Haoyi Zhou, Ying Li, Hao Wang, Zhenzhe Zhang, Tianchen Zhu, Shanghang Zhang, Jianxin Li

Minimizing Polarization and Disagreement in the Friedkin–Johnsen Model with Unknown Innate Opinions

Federico Cinus, Atsushi Miyauchi, Yuko Kuroki, Francesco Bonchi

State Feedback Enhanced Graph Differential Equations for Multivariate Time Series Forecasting

Jiaxu Cui, Qipeng Wang, Yiming Zhao, Bingyi Sun, Pengfei Wang, Bo Yang

Advancing Community Detection with Graph Convolutional Neural Networks: Bridging Topological and Attributive Cohesion

Anjali de Silva, Gang Chen, Hui Ma, Seyed Mohammad Nekooei, Xingquan Zuo

Conditional Causal Representation Learning for Heterogeneous Single-cell RNA Data Integration and Prediction

Jiayi Dong, Jiahao Li, Fei Wang

Contrastive Cross-Course Knowledge Tracing via Concept Graph Guided Knowledge Transfer

Wenkang Han, Wang Lin, Liya Hu, Zhenlong Dai, Yiyun Zhou, Mengze Li, Zemin Liu, Chang Yao, Jingyuan Chen

RRG-Mamba: Efficient Radiology Report Generation with State Space Model

Xiaodi Hou, Xiaobo Li, Mingyu Lu, Simiao Wang, Yijia Zhang

CompLex: Music Theory Lexicon Constructed by Autonomous Agents for Automatic Music Generation

Zhejing Hu, Yan Liu, Gong Chen, Bruce X. B. Yu

Lazy Testing of Machine-Learning Models

Anastasia Isychev, Valentin Wüstholz, Maria Christakis

M^2LLM: Multi-view Molecular Representation Learning with Large Language Models

Jiaxin Ju, Yizhen Zheng, Huan Yee Koh, Can Wang, Shirui Pan

Bridging Local and Global Knowledge via Transformer in Board Games

Yan-Ru Ju, Tai-Lin Wu, Chung-Chin Shih, Ti-Rong Wu

APIMig: A Project-Level Cross-Multi-Version API Migration Framework Based on Evolution Knowledge Graph

Li Kuang, Qi Xie, HaiYang Yang, Yang Yang, Xiang Wei, HaoYue Kang, YingJie Xia

Contrastive Unlearning: A Contrastive Approach to Machine Unlearning

Hong kyu Lee, Qiuchen Zhang, Carl Yang, Jian Lou, Li Xiong

Secure and Efficient Watermarking for Latent Diffusion Models in Model Distribution Scenarios

Liangqi Lei, Keke Gai, Jing Yu, Liehuang Zhu, Qi Wu

Diffusion Guided Propagation Augmentation for Popularity Prediction

Chaozhuo Li, Tianqi Yang, Litian Zhang, Xi Zhang

DASS: A Dual-Branch Attention-based Framework for Trajectory Similarity Learning with Spatial and Semantic Fusion

Jiayi Li, Junhua Fang, Pingfu Chao, Jiajie Xu, Pengpeng Zhao

AlphaGAT: A Two-Stage Learning Approach for Adaptive Portfolio Selection

Shicheng Li, Jinshan Zhang , Feng Wang

RetroMoE: A Mixture-of-Experts Latent Translation Framework for Single-step Retrosynthesis

Xinjie Li, Abhinav Verma

MTGIB-UNet: A Multi-Task Graph Information Bottleneck and Uncertainty Weighted Network for ADMET Prediction

Xuqiang Li, Wenjie Du, Jun Xia, Jianmin Wang, Xiaoqi Wang, Yang Yang, Yang Wang

COGRASP: Co-Occurrence Graph Based Stock Price Forecasting

Zhengze Li, Zilin Song, Tingting Yuan, Xiaoming Fu

KnowMDD: Knowledge-guided Cross Contrastive Learning for Major Depressive Disorder Diagnosis

Anchen Lin, Weikun Wang, Haijun Han, Fanwei Zhu, Qi Ma, Zengwei Zheng, Binbin Zhou

PAMol: Pocket-Aware Drug Design Method with Hypergraph Representation of Protein Pocket Structure and Feature Fusion

Xiaoli Lin, Xiongwei Liao, Jun Pang, Bo Li, Xiaolong Zhang

Enhancing Chemical Reaction and Retrosynthesis Prediction with Large Language Model and Dual-task Learning

Xuan Lin, Qingrui Liu, Hongxin Xiang, Daojian Zeng, Xiangxiang Zeng

Towards Generalizable Neural Simulators: Addressing Distribution Shifts Induced by Environmental and Temporal Variations

Jiaqi Liu, Jiaxu Cui, Shiang Sun, Yizhu Zhao, Bo Yang

Asset Pricing with Contrastive Adversarial Variational Bayes

Ruirui Liu, Huichou Huang, Johannes Ruf

Misclassification-driven Fingerprinting for DNNs Using Frequency-aware GANs

Weixing Liu, Shenghua Zhong

FBQuant: FeedBack Quantization for Large Language Models

Yijiang Liu, Hengyu Fang, Liulu He, Rongyu Zhang, Yichuan Bai, Yuan Du, Li Du

Enhancing Multimodal Protein Function Prediction Through Dual-Branch Dynamic Selection with Reconstructive Pre-Training

Xiaoling Luo, Peng Chen, Chengliang Liu, Xiaopeng Jin, Jie Wen, Yumeng Liu, Junsong Wang

MA-RAG: Automating Role Engineering for RESTful APIs with Multi-Head Attention and Retrieval-Augmented Generation

Yang Luo, Qingni Shen, Zhonghai Wu

LPDetective: Dusting the LLM Chats for Prompt Template Abusers

Yang Luo, Qingni Shen, Zhonghai Wu

Can We Translate Code Better with LLMs and Call Graph Analysis?

Yang Luo

MMET: A Multi-Input and Multi-Scale Transformer for Efficient PDEs Solving

Yichen Luo, Jia Wang, Dapeng Lan, Yu Liu, Zhibo Pang

Fine-Grained and Efficient Self-Unlearning with Layered Iteration

Hongyi Lyu, Xuyun Zhang, Hongsheng Hu, Shuo Wang, Chaoxiang He, Lianyong Qi

InnateCoder: Learning Programmatic Options with Foundation Models

Rubens O. Moraes, Quazi Asif Sadmine, Hendrik Baier, Levi H. S. Lelis

Adaptive Wizard for Removing Cross-Tier Misconfigurations in Active Directory

Huy Q. Ngo, Mingyu Guo, Hung X. Nguyen

Localizing Before Answering: A Benchmark for Grounded Medical Visual Question Answering

Dung Nguyen, Minh Khoi Ho, Huy Ta, Thanh Tam Nguyen, Qi Chen, Kumar Rav, Quy Duong Dang, Satwik Ramchandre, Son Lam Phung, Zhibin Liao, Minh-Son To, Johan Verjans, Phi Le Nguyen, Vu Minh Hieu Phan

Think Twice Before Adaptation: Improving Adaptability of DeepFake Detection via Online Test-Time Adaptation

Hong-Hanh Nguyen-Le, Van-Tuan Tran, Dinh-Thuc Nguyen, Nhien-An Le-Khac

Solving Copyright Infringement on Short Video Platforms: Novel Datasets and an Audio Restoration Deep Learning Pipeline

Minwoo Oh, Minsu Park, Eunil Park

Disentangled and Personalized Representation Learning for Next Point-of-Interest Recommendation

Xuan Rao, Shuo Shang, Lisi Chen, Renhe Jiang, Peng Han

Diffusion-aware Censored Gaussian Processes for Demand Modelling

Filipe Rodrigues

BinMetric: A Comprehensive Binary Code Analysis Benchmark for Large Language Models

Xiuwei Shang, Guoqiang Chen, Shaoyin Cheng, Benlong Wu, Li Hu, Gangyang Li, Weiming Zhang, Nenghai Yu

PDDFormer: Pairwise Distance Distribution Graph Transformer for Crystal Material Property Prediction

Xiangxiang Shen, Zheng Wan, Lingfeng Wen, Licheng Sun, Jian Yang, Xuan Tang, Shing-Ho J. Lin, Xiao He, Mingsong Chen, Xian Wei

MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction

Zishan Shu, Yufan Deng, Hongyu Zhang, Zhiwei Nie, Jie Chen

LogiCase: Effective Test Case Generation from Logical Description in Competitive Programming

Sicheol Sung, Aditi, Dogyu Kim, Yo-Sub Han, Sang-Ki Ko

PeSANet: Physics-encoded Spectral Attention Network for Simulating PDE-Governed Complex Systems

Han Wan, Rui Zhang, Qi Wang, Yang Liu, Hao Sun

Robust Misinformation Detection by Visiting Potential Commonsense Conflict

Bing Wang, Ximing Li, Changchun Li, Bingrui Zhao, Bo Fu, Renchu Guan, Shengsheng Wang

Image-Enhanced Hybrid Encoding with Reinforced Contrastive Learning for Spatial Domain Identification in Spatial Transcriptomics

Daoyuan Wang, Lu Gao, Wenlan Chen, Cheng Liang, Fei Guo

ST-TAR: An Efficient Spatio-Temporal Learning Framework for Traffic Accident Risk Forecasting

Hongyu Wang, Lisi Chen, Shuo Shang, Peng Han, Christian S. Jensen

TESTN: A Triad-Enhanced Spatio-Temporal Network for Multi-Temporal POI Relationship Inference

Hongyu Wang, Lisi Chen, Shuo Shang

Advancing Embodied Agent Security: From Safety Benchmarks to Input Moderation

Ning Wang, Zihan Yan, Weiyang Li, Chuan Ma, He Chen, Tao Xiang

Incorporating Legal Logic into Deep Learning: An Intelligent Approach to Probation Prediction

Qinghua Wang, Xu Zhang, Lingyan Yang, Rui Shao, Bonan Wang, Fang Wang, Cunquan Qu

POMP: Pathology-omics Multimodal Pre-training Framework for Cancer Survival Prediction

Suixue Wang, Shilin Zhang, Huiyuan Lai, Weiliang Huo, Qingchen Zhang

Attention-based Conditional Random Field for Financial Fraud Detection

Xiaoguang Wang, Chenxu Wang, Luyue Zhang, Xiaole Wang, Mengqin Wang, Huanlong Liu, Tao Qin

ARMR: Adaptively Responsive Network for Medication Recommendation

Feiyue Wu, Tianxing Wu, Shenqi Jing

Electron Density-enhanced Molecular Geometry Learning

Hongxin Xiang, Jun Xia, Xin Jin, Wenjie Du, Li Zeng, Xiangxiang Zeng

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models

Guangzhi Xiong, Eric Xie, Corey Williams, Myles Kim, Amir Hassan Shariatmadari, Sikun Guo, Stefan Bekiranov, Aidong Zhang

EchoGPT: An Interactive Cardiac Function Assessment Model for Echocardiogram Videos

Bo Xu, Quanhao Zhu, Qingchen Zhang, Mengmeng Wang, Liang Zhao, Hongfei Lin, Jing Ren, Feng Xia

scSiameseClu: A Siamese Clustering Framework for Interpreting Single-cell RNA Sequencing Data

Ping Xu, Zhiyuan Ning, Pengjiang Li, Wenhao Liu, Pengyang Wang, Jiaxu Cui, Yuanchun Zhou, Pengfei Wang

UltraModel: A Modeling Paradigm for Industrial Objects

Haoran Yang, Yinan Zhang, Qunshan He, Yuqi Ye, Jing Zhao, Wenhai Wang

Backdoor Attack on Vertical Federated Graph Neural Network Learning

Jirui Yang, Peng Chen, Zhihui Lu, Jianping Zeng, Qiang Duan, Xin Du, Ruijun Deng

Endowing Interpretability for Neural Cognitive Diagnosis by Efficient Kolmogorov-Arnold Networks

Shangshang Yang, Linrui Qin, Xiaoshan Yu, Ziwen Wang, Xueming Yan, Haiping Ma, Ye Tian

KP-PINNs: Kernel Packet Accelerated Physics Informed Neural Networks

Siyuan Yang, Cheng Song, Zhilu Lai, Wenjia Wang

MedualTime: A Dual-Adapter Language Model for Medical Time Series-Text Multimodal Learning

Jiexia Ye, Weiqi Zhang, Ziyue Li, Jia Li, Meng Zhao, Fugee Tsung

Category-aware EEG Image Generation Based on Wavelet Transform and Contrast Semantic Loss

Enshang Zhang, Zhicheng Zhang, Takashi Hanakawa

Subgraph Information Bottleneck with Causal Dependency for Stable Molecular Relational Learning

Peiliang Zhang, Jingling Yuan, Chao Che, Yongjun Zhu, Lin Li

Multimodal Inverse Attention Network with Intrinsic Discriminant Feature Exploitation for Fake News Detection

Tianlin Zhang, En Yu, Yi Shao, Jiande Sun

Sanitizing Backdoored Graph Neural Networks: A Multidimensional Approach

Rong Zhao, Jilian Zhang, Yu Wang, Yinyan Zhang, Jian Weng

Physics-Assisted and Topology-Informed Deep Learning for Weather Prediction

Jiaqi Zheng, Qing Ling, Yerong Feng

MMGIA: Gradient Inversion Attack Against Multimodal Federated Learning via Intermodal Correlation

Lele Zheng, Yang Cao, Leo Yu Zhang, Wei Wang, Yulong Shen, Xiaochun Cao

Simulate, Refine and Integrate: Strategy Synthesis for Efficient SMT Solving

Bingzhe Zhou, Hannan Wang, Yuan Yao, Taolue Chen, Feng Xu, Xiaoxing Ma

Enhancing Nighttime Semantic Segmentation with Visual-Linguistic Priors and Wavelet Transform

Jianhou Zhou, Xiaolong Zhou, Sixian Chan, Zhaomin Chen, Xiaoqin Zhang

DenseSAM: Semantic Enhance SAM for Efficient Dense Object Segmentation

Linyun Zhou, Jiacong Hu, Shengxuming Zhang, Xiangtong Du, Mingli Song, Xiuming Zhang, Zunlei Feng

DiffECG: Diffusion Model-Powered Label-Efficient and Personalized Arrhythmia Diagnosis

Tianren Zhou, Zhenge Jia, Dongxiao Yu, Zhaoyan Shen

Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning

Ye Zhu, Yunan Wang, Zitong Yu

Scalable Multi-Stage Influence Function for Large Language Models via Eigenvalue-Corrected Kronecker-Factored Parameterization

Yuntai Bao, Xuhong Zhang, Tianyu Du, Xinkui Zhao, Jiang Zong, Hao Peng, Jianwei Yin

ChronoFact: Timeline-based Temporal Fact Verification

Anab Maulana Barik, Wynne Hsu, Mong Li Lee

M3ANet: Multi-scale and Multi-Modal Alignment Network for Brain-Assisted Target Speaker Extraction

Cunhang Fan, Ying Chen, Jian Zhou, Zexu Pan, Jingjing Zhang, Youdian Gao, Xiaoke Yang, Zhengqi Wen, Zhao Lv

SecV: LLM-based Secure Verilog Generation with Clue-Guided Exploration on Hardware-CWE Knowledge Graph

Fanghao Fan, YingJie Xia, Li Kuang

Learn to Think: Bootstrapping LLM Logic Through Graph Representation Learning

Hang Gao, Chenhao Zhang, Tie Wang, Junsuo Zhao, Fengge Wu, Changwen Zheng, Huaping Liu

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training

Quanjiang Guo, Jinchuan Zhang, Sijie Wang, Ling Tian, Zhao Kang, Bin Yan, Weidong Xiao

Improving Prediction Certainty Estimation for Reliable Early Exiting via Null Space Projection

Jianing He, Qi Zhang, Duoqian Miao, Kun Yi, Shufeng Hao, Hongyun Zhang, Zhihua Wei

TreeKV: Smooth Key-Value Cache Compression with Tree Structures

Ziwei He, Jian Yuan, Haoli Bai, Jingwen Leng, Bo Jiang

Efficient Dynamic Ensembling for Multiple LLM Experts

Jinwu Hu, Yufeng Wang, Shuhai Zhang, Kai Zhou, Guohao Chen, Yu Hu, Bin Xiao, Mingkui Tan

How to Mitigate Information Loss in Knowledge Graphs for GraphRAG: Leveraging Triple Context Restoration and Query-Driven Feedback

Manzong Huang, Chenyang Bu, Yi He, Xindong Wu

Exploring the Trade-Offs: Quantization Methods, Task Difficulty, and Model Size in Large Language Models From Edge to Giant

Jemin Lee, Sihyeong Park, Jinse Kwon, Jihun Oh, Yongin Kwon

BridgeVoC: Neural Vocoder with Schrödinger Bridge

Tong Lei, Zhiyu Zhang, Rilin Chen, Meng Yu, Jing Lu, Chengshi Zheng, Dong Yu, Andong Li

Learning Neural Vocoder from Range-Null Space Decomposition

Andong Li, Tong Lei, Zhihang Sun, Rilin Chen, Erwei Yin, Xiaodong Li, Chengshi Zheng

Multi-modal Anchor Gated Transformer with Knowledge Distillation for Emotion Recognition in Conversation

Jie Li, Shifei Ding, Lili Guo, Xuan Li

Can Retelling Have Adequate Information for Reasoning? An Enhancement Method for Imperfect Video Understanding with Large Language Model

Mingxin Li, Wenhao Wang, Hongru Ji, Xianghua Li, Chao Gao

Variational Multi-Modal Hypergraph Attention Network for Multi-Modal Relation Extraction

Qian Li, Cheng Ji, Shu Guo, Kun Peng, Qianren Mao, Shangguang Wang

Multimodal Knowledge Retrieval-Augmented Iterative Alignment for Satellite Commonsense Conversation

Qian Li, Xuchen Li, Zongyu Chang, Yuzheng Zhang, Cheng Ji, Shangguang Wang

Can Large Models Teach Student Models to Solve Mathematical Problems Like Human Beings? A Reasoning Distillation Method via Multi-LoRA Interaction

Xinhe Li, Jiajun Liu, Peng Wang

KnowRA: Knowledge Retrieval Augmented Method for Document-level Relation Extraction with Comprehensive Reasoning Abilities

Chengcheng Mai, Yuxiang Wang, Ziyu Gong, Hanxiang Wang, Yihua Huang

Contamination Budget: Trade-offs Between Breadth, Depth and Difficulty

Behzad Mehrbakhsh, Fernando Martínez-Plumed, José Hernández-Orallo

SepALM: Audio Language Models Are Error Correctors for Robust Speech Separation

Zhaoxi Mu, Xinyu Yang, Gang Wang

Accurate Sublayer Pruning for Large Language Models by Exploiting Latency and Tunability Information

Seungcheol Park, Sojin Lee, Jongjin Kim, Jinsik Lee, Hyunjik Jo, U Kang

T-T: Table Transformer for Tagging-based Aspect Sentiment Triplet Extraction

Kun Peng, Chaodong Tong, Cong Cao, Hao Peng, Qian Li, Guanlin Wu, Lei Jiang, Yanbing Liu, Philip S. Yu

R2DQG: A Quality Meets Diversity Framework for Question Generation over Knowledge Bases

Yimeng Ren, Yanhua Yu, Lizi Liao, Yuhu Shang, Kangkang Lu, Mingliang Yan

Knowledge Editing for Multi-Hop Question Answering Using Semantic Analysis

Dominic Simon, Rickard Ewetz

DFMU: Distribution-based Framework for Modeling Aleatoric Uncertainty in Multimodal Sentiment Analysis

Chen Tang, Tingrui Shen, Xinrong Gong, Chong Zhao, Tong Zhang

Improving Consistency Identification in Task-oriented Dialogue Through Multi-Agent Collaboration

Peng Wang, Shuo Li, Ruoxi Zhou, Qiguang Chen, Xiao Xu, Hao Fei, Dagang Li, Wanxiang Che, Libo Qin

Enhancing User-Oriented Proactivity in Open-Domain Dialogues with Critic Guidance

Yufeng Wang, Jinwu Hu, Ziteng Huang, Kunyang Lin, Zitian Zhang, Peihao Chen, Yu Hu, Qianyue Wang, Zhuliang Yu, Bin Sun, Xiaofen Xing, Qingfang Zheng, Mingkui Tan

MPPQ: Enhancing Post-Training Quantization for LLMs via Mixed Supervision, Proxy Rounding, and Pre-Searching

Mingrun Wei, Yeyu Yan, Dong Wang

Integration of Old and New Knowledge for Generalized Intent Discovery: A Consistency-driven Prototype-Prompting Framework

Xiao Wei, Xiaobao Wang, Ning Zhuang, Chenyang Wang, Longbiao Wang, Jianwu Dang

SetKE: Knowledge Editing for Knowledge Elements Overlap

Yifan Wei, Xiaoyan Yu, Ran Song, Hao Peng, Angsheng Li

Unveiling Maternity and Infant Care Conversations: A Chinese Dialogue Dataset for Enhanced Parenting Support

Bo Xu, Liangzhi Li, Junlong Wang, Xuening Qiao, Erchen Yu, Yiming Qian, Linlin Zong, Hongfei Lin

ARPDL: Adaptive Relational Prior Distribution Loss as an Adapter for Document-Level Relation Extraction

Huangming Xu, Fu Zhang, Jingwei Cheng, Xin Li

Can We Verify Step by Step for Incorrect Answer Detection?

Xin Xu, Shizhe Diao, Can Yang, Yang Wang

Beyond Fixed Length: Bucket Pre-training is All You Need

Qing Yang, Qiyao Peng, Hongtao Liu, Kai Liu, Bing Qin, Ting Liu

WenyanGPT: A Large Language Model for Classical Chinese Tasks

Xinyu Yao, Mengdi Wang, Bo Chen, Xiaobing Zhao

D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuning

Jia Zhang, Chen-Xi Zhang, Yao Liu, Yi-Xuan Jin, Xiao-Wen Yang, Bo Zheng, Yi Liu, Lan-Zhe Guo

Detecting Hallucination in Large Language Models Through Deep Internal Representation Analysis

Luan Zhang, Dandan Song, Zhijing Wu, Yuhang Tian, Changzhi Zhou, Jing Xu, Ziyi Yang, Shuhao Zhang

DGCPL: Dual Graph Distillation for Concept Prerequisite Relation Learning

Miao Zhang, Jiawei Wang, Jinying Han, Kui Xiao, Zhifei Li, Yan Zhang, Hao Chen, Shihui Wang

Token-Level Accept or Reject: A Micro Alignment Approach for Large Language Models

Yang Zhang, Yu Yu, Bo Tang, Yu Zhu, Chuxiong Sun, Wenqiang Wei, Jie Hu, Zipeng Xie, Zhiyu Li, Feiyu Xiong, Edward Chung

EDGE: Efficient Data Selection for LLM Agents via Guideline Effectiveness

Yunxiao Zhang, Guanming Xiong, Haochen Li, Wen Zhao

Sentiment-enhanced Multi-hop Connected Graph Attention Network for Multimodal Aspect-Based Sentiment Analysis

Linlin Zhu, Heli Sun, Xiaoyong Huang, Qi Zhang, Ruichen Cao, Liang He

EAVIT: Efficient and Accurate Human Value Identification From Text Data via LLMs

Wenhao Zhu, Yuhang Xie, Guojie Song, Xin Zhang

Learning Causally Disentangled Representations for Fair Personality Detection

Yangfu Zhu, Meiling Li, Yuting Wei, Di Liu, Yuqing Li , Bin Wu

Multi-Label Text Classification with Label Attention Aware and Correlation Aware Contrastive Learning

Zhengzhong Zhu, Pei Zhou, Zeting Li, Kejiang Chen, Jiangping Zhu

Dynamic Replanning for Improved Public Transport Routing

Abdallah Abuaisha, Bojie Shen, Daniel D. Harabor, Peter J. Stuckey, Mark Wallace

Sketch Decompositions for Classical Planning via Deep Reinforcement Learning

Michael Aichmüller, Hector Geffner

LTLf+ and PPLTL+: Extending LTLf and PPLTL to Infinite Traces

Benjamin Aminof, Giuseppe De Giacomo, Sasha Rubin, Moshe Y. Vardi

Handling Infinite Domain Parameters in Planning Through Best-First Search with Delayed Partial Expansions

Ángel Aso-Mollar, Diego Aineto, Enrico Scala, Eva Onaindia

Online Planning in MDPs with Stochastic Durative Actions

Tal Berman, Ronen I. Brafman, Erez Karpas

Rolling in Classical Planning with Conditional Effects and Constraints

Matteo Cardellini, Enrico Giunchiglia

Concurrent Planning and Execution Using Dispatch-Dependent Values

Andrew Coles, Erez Karpas, Eyal Shimony, Shahaf Shperberg, Wheeler Ruml

Solving MDPs with LTLf+ and PPLTL+ Temporal Objectives

Giuseppe De Giacomo, Yong Li, Sven Schewe, Christoph Weinhuber, Pian Yu

Improvements to the Generate-and-Complete Approach to Conformant Planning

Liangda Fang, Min Zhan, Jin Tong, Xiujie Huang, Ziliang Chen, Quanlong Guan

Fast and Stronger Lower Bounds for Planar Euclidean Shortest Paths

Stefan Funke, Daniel Koch, Claudius Proissl, Christian Staib, Felix Weitbrecht

Robust Finite-Memory Policy Gradients for Hidden-Model POMDPs

Maris F. L. Galesloot, Roman Andriushchenko, Milan Ceska, Sebastian Junges, Nils Jansen

Interval Selection with Binary Predictions

Christodoulos Karavasilis

Partially Observable Reference Policy Programming

Edward Kim, Hanna Kurniawati

Optimal Planning to Coordinate Science Data Collection and Downlink for a Constellation of Agile Satellites with Limited Storage

Richard Levinson, Vinay Ravindra, Sreeja Roy-Singh

Semi-Clairvoyant Scheduling of Speculative Decoding Requests to Minimize LLM Inference Latency

Ruixiao Li, Fahao Chen, Peng Li

RobustHAR: Multi-scale Spatial-temporal Masked Self-supervised Pre-training for Robust Human Activity Recognition

Xiao Liu, Guan Yuan, Yanmei Zhang, Shang Liu, Qiuyan Yan

Proactive Data-driven Scheduling of Business Processes

Francesca Meneghello, Arik Senderovich, Massimiliano Ronzani, Chiara Di Francescomarino, Chiara Ghidini

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems

Dian Meng, Zhiguang Cao, Yaoxin Wu, Yaqing Hou, Hongwei Ge, Qiang Zhang

Preference-based Deep Reinforcement Learning for Historical Route Estimation

Boshen Pan, Yaoxin Wu, Zhiguang Cao, Yaqing Hou, Guangyu Zou, Qiang Zhang

An Approach to Quantify Plans Robustness in Real-world Applications

Francesco Percassi, Sandra Castellanos-Paez, Romain Rombourg, Mauro Vallati

Abstraction Heuristics for Classical Planning Tasks with Conditional Effects

Martín Pozo, Jendrik Seipp

A Finite-State Controller Based Offline Solver for Deterministic POMDPs

Alex Schutz, Yang You, Matías Mattamala, Ipek Caliskanelli, Bruno Lacerda, Nick Hawes

GRAML: Goal Recognition As Metric Learning

Matan Shamir, Reuth Mirsky

GATES: Cost-aware Dynamic Workflow Scheduling via Graph Attention Networks and Evolution Strategy

Ya Shen, Gang Chen, Hui Ma, Mengjie Zhang

Solving QNP and FOND+ with Generating, Testing and Forbidding

Zheyuan Shi, Hao Dong, Yongmei Liu

What Makes You Special? Contrastive Heuristics Based on Qualified Dominance

Rasmus G. Tollund, Kim G. Larsen, Alvaro Torralba

Towards a Unified View of Social Laws with Instantaneous Actions

Alexander Tuisov, Evgeny Mishlyakov, Alexander Shleyfman , Erez Karpas

DGL: Dynamic Global-Local Information Aggregation for Scalable VRP Generalization with Self-Improvement Learning

Yubin Xiao, Yuesong Wu, Rui Cao, Di Wang, Zhiguang Cao, Xuan Wu, Peng Zhao, Yuanshu Li, You Zhou, Yuan Jiang

SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation

Bin Xu, Yiguan Lin, Yinghao Li, Yang Gao

NS4S: Neighborhood Search for Scheduling Problems Via Large Language Models

Junjie Zhang, Canhui Luo, Zhouxing Su, Qingyun Zhang, Zhipeng Lü, Junwen Ding, Yan Jin

Computational Complexity of Planning for Recursive Primitive Task Networks: Selective Action Nullification with State Preservation

Yifan Zhang, Pascal Bercher

Tree-of-AdEditor: Heuristic Tree Reasoning for Automated Video Advertisement Editing with Large Language Model

Yuqi Zhang, Bin Guo, Nuo Li, Ying Zhang, Shijie Wang, Zhiwen Yu, Qing Li