IJCAI 2025

1,280 papers

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

Chuangui Cao, Shifei Ding, Lili Guo

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

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

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

Weichao Cai, Weiliang Huang, Yunkang Cao, Chao Huang, Fei Yuan

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

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

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

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

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

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

Pei An, Jiaqi Yang, Muyao Peng, You Yang, Qiong Liu

Keypoints as Dynamic Centroids for Unified Human Pose and Segmentation

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

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

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

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

Pengcheng Zhao, Xiaowei Ding

Causality-Inspired Disentanglement for Fair Graph Neural Networks

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

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

Cheng Zhang, Yang Xu, Tingqiao Huang, Zixing Zhang

GraphProt: Certified Black-Box Shielding Against Backdoored Graph Models

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

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

Changdi Yang, Zheng Zhan, Ci Zhang, Yifan Gong, Yize Li

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

Yiran Xu, Nan Zhong, Guobiao Li, Anda Cheng, Yinggui Wang

Parameterized Approximation Algorithm for Doubly Constrained Fair Clustering

Xiaoliang Wu, Qilong Feng, Junyu Huang, Jianxin Wang

Explainable Graph Neural Networks via Structural Externalities

Lijun Wu, Dong Hao, Zhiyi Fan

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

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

Towards Fairness with Limited Demographics via Disentangled Learning

Zichong Wang, Anqi Wu, Nuno Moniz, Shu Hu, Bart Knijnenburg

fairGNN-WOD: Fair Graph Learning Without Complete Demographics

Zichong Wang, Fang Liu, Shimei Pan, Jun Liu, Fahad Saeed

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective

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

Indirect Online Preference Optimization via Reinforcement Learning

En Wang, Xingyu Lin, Du Su, Chenfu Bao, Zhonghou Lv

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

Unlocking the Potential of Lightweight Quantized Models for Deepfake Detection

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

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

Sanchit Sinha, Guangzhi Xiong, Aidong Zhang

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

Xicong Shen, Yang Liu, Yi Liu, Peiran Wang, Huiqi Liu

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

Rui Pu, Chaozhuo Li, Rui Ha, Zejian Chen, Litian Zhang

CABIN: Debiasing Vision-Language Models Using Backdoor Adjustments

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

Fast Explanations via Policy Gradient-Optimized Explainer

Deng Pan, Nuno Moniz, Nitesh V. Chawla

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

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

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

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

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

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

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

Enhancing Sampling Protocol for Point Cloud Classification Against Corruptions

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

Counterfactual Strategies for Markov Decision Processes

Paul Kobialka, Lina Gerlach, Francesco Leofante, Erika Ábráham, Silvia Lizeth Tapia Tarifa

Modality-Fair Preference Optimization for Trustworthy MLLM Alignment

Songtao Jiang, Yan Zhang, Ruizhe Chen, Tianxiang Hu, Yeying Jin

On Integrating Logical Analysis of Data into Random Forests

David Ing, Said Jabbour, Lakhdar Sais

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

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

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

Xiaomeng Fu, Xi Wang, Qiao Li, Jin Liu, Jiao Dai

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

Arya Fayyazi, Yifeng Xiao, Pierluigi Nuzzo, Massoud Pedram

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

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

Guoliang Dong, Haoyu Wang, Jun Sun, Xinyu Wang

Zero-Shot Machine Unlearning with Proxy Adversarial Data Generation

Huiqiang Chen, Tianqing Zhu, Xin Yu, Wanlei Zhou

Improved Rank Aggregation Under Fairness Constraint

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

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

Axel Abels, Tom Lenaerts

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

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

Xiongqi Zhang, Ning Lv, Wang Lin, Zuohua Ding

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

Yi Zhan, Qi Liu, Weibo Gao, Zheng Zhang, Tianfu Wang

Quantifying the Self-Interest Level of Markov Social Dilemmas

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

Equitable Mechanism Design for Facility Location

Toby Walsh

Streaming Multi-agent Pathfinding

Mingkai Tang, Lu Gan, Kaichen Zhang

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

Saleh Soudijani, Rayna Dimitrova

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

Raquel Rodriguez-Garcia, Roberto Centeno, Alvaro Rodrigo

Multi-Agent Corridor Generating Algorithm

Arseni Pertzovskiy, Roni Stern, Roie Zivan, Ariel Felner

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

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

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

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

Karan Muvvala, Qi Heng Ho, Morteza Lahijanian

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

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

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

Vahid Mahzoon, Abigail Liu, Slobodan Vucetic

Odyssey : Empowering Minecraft Agents with Open-World Skills

Shunyu Liu, Yaoru Li, Kongcheng Zhang, Zhenyu Cui, Wenkai Fang

Online Resource Sharing: Better Robust Guarantees via Randomized Strategies

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

Asynchronous Credit Assignment for Multi-Agent Reinforcement Learning

Yongheng Liang, Hejun Wu, Haitao Wang, Hao Cai

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

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

Thanh Dat Le, Lyuzhou Ye, Yan Huang

Approximate Verification of Strategic Abilities under Imperfect Information Using Local Models

Damian Kurpiewski, Wojciech Jamroga, Yan Kim

Steady-State Strategy Synthesis for Swarms of Autonomous Agents

Martin Jonáš, Antonín Kučera, Vojtěch Kůr, Jan Mačák

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

Wojciech Jamroga, Michał Tomasz Godziszewski, Aniello Murano

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

Zikang Guo, Benfeng Xu, Xiaorui Wang, Zhendong Mao

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

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

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

Minghong Geng, Shubham Pateria, Budhitama Subagdja, Lin Li, Xin Zhao

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

Tianci Gao, Yuzhen Zhang, Hang Guo, Pei Lv

Argument-based Multi-Issue Negotiation

Thalya Fossey, Jean-Guy Mailly, Pavlos Moraitis

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

Xiaoqing Fan, Chin-wing Leung, Paolo Turrini

Multi-Agent Communication with Information Preserving Graph Contrastive Learning

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

EF1 and EFX Orientations

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

Responsibility Anticipation and Attribution in LTLf

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

Requirement Patterns for Engineering Multiagent Interaction Protocols

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

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

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

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

Davide Catta, Jean Leneutre, Vadim Malvone, James Ortiz