IJCAI 2025

1,280 papers

Counterfactual Explanations Under Model Multiplicity and Their Use in Computational Argumentation

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

Featured Argumentation Framework: Semantics and Complexity

Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna

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

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

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

Wei Chen, Jiahao Zhang, Haipeng Zhu, Boyan Xu, Zhifeng Hao

ActiveHAI: Active Collection Based Human-AI Diagnosis with Limited Expert Predictions

Xuehan Zhao, Jiaqi Liu, Xin Zhang, Zhiwen Yu, Bin Guo

Counterfactual Thinking Driven Emotion Regulation for Image Sentiment Recognition

Xinyue Zhang, Zhaoxia Wang, Hailing Wang, Guitao Cao

Adaptive Deep Learning from Crowds

Hang Yang, Zhiwu Li, Witold Pedrycz

VideoHumanMIB: Unlocking Appearance Decoupling for Video Human Motion In-betweening

Haiwei Xue, Zhensong Zhang, Minglei Li, Zonghong Dai, Fei Yu

kgMBQA: Quality Knowledge Graph-driven Multimodal Blind Image Assessment

Wuyuan Xie, Tingcheng Bian, Miaohui Wang

A Cross-Modal Densely Guided Knowledge Distillation Based on Modality Rebalancing Strategy for Enhanced Unimodal Emotion Recognition

Shuang Wu, Heng Liang, Yong Zhang, Yanlin Chen, Ziyu Jia

HLMTrans: A Sim-to-Real Transfer Framework for Spatial Crowdsourcing with Human-Guided Language Models

Qingshun Wu, Yafei Li, Lulu Li, Yuanyuan Jin, Shuo He

Do Mentioned Items Truly Matter? Enhancing Conversational Recommender Systems with Causal Intervention and Large Language Models

Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong

ID-RemovalNet: Identity Removal Network for EEG Privacy Protection with Enhancing Decoding Tasks

Huabin Wang, Jie Ruan, Cunhang Fan, Yingfan Cheng, Zhao Lv

ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks

Kai Sun, Peibo Duan, Levin Kuhlmann, Beilun Wang, Bin Zhang

Community-Aware Graph Transformer for Brain Disorder Identification

Shengbing Pei, Jiajun Ma, Zhao Lv, Chao Zhang, Jihong Guan

ST-USleepNet: A Spatial-Temporal Coupling Prominence Network for Multi-Channel Sleep Staging

Jingying Ma, Qika Lin, Ziyu Jia, Mengling Feng

MHANet: Multi-scale Hybrid Attention Network for Auditory Attention Detection

Lu Li, Cunhang Fan, Hongyu Zhang, Jingjing Zhang, Xiaoke Yang

Adaptive Gradient Learning for Spiking Neural Networks by Exploiting Membrane Potential Dynamics

Jiaqiang Jiang, Lei Wang, Runhao Jiang, Jing Fan, Rui Yan

Constrained Preferential Bayesian Optimization and Its Application in Banner Ad Design

Koki Iwai, Yusuke Kumagae, Yuki Koyama, Masahiro Hamasaki, Masataka Goto

Stochasticity-aware No-Reference Point Cloud Quality Assessment

Songlin Fan, Wei Gao, Zhineng Chen, Ge Li, Guoqing Liu

ListenNet: A Lightweight Spatio-Temporal Enhancement Nested Network for Auditory Attention Detection

Cunhang Fan, Xiaoke Yang, Hongyu Zhang, Ying Chen, Lu Li

Inference of Human-derived Specifications of Object Placement via Demonstration

Alex Cuellar, Ho Chit Siu, Julie A Shah

Credit Assignment and Fine-Tuning Enhanced Reinforcement Learning for Collaborative Spatial Crowdsourcing

Wei Chen, Yafei Li, Baolong Mei, Guanglei Zhu, Jiaqi Wu

Binary Event-Driven Spiking Transformer

Honglin Cao, Zijian Zhou, Wenjie Wei, Yu Liang, Ammar Belatreche

Implicitly Aligning Humans and Autonomous Agents through Shared Task Abstractions

Stéphane Aroca-Ouellette, Miguel Aroca-Ouellette, Katharina von der Wense, Alessandro Roncone

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

Xu Zhao, Ren Liu, Weiran Shen

Revisiting Proportional Allocation with Subsidy: Simplification and Improvements

Xiaowei Wu, Quan Xue, Shengwei Zhou

A Little Subsidy Ensures MMS Allocation for Three Agents

Xiaowei Wu, Quan Xue, Shengwei Zhou

Probabilistic Analysis of Stable Matching in Large Markets with Siblings

Zhaohong Sun, Tomohiko Yokoyama, Makoto Yokoo

Improved MMS Approximations for Few Agent Types

Parnian Shahkar, Jugal Garg

Finding Possible Winners in Spatial Voting with Incomplete Information

Hadas Shachnai, Rotem Shavitt, Andreas Wiese

Discrete Budget Aggregation: Truthfulness and Proportionality

Ulrike Schmidt-Kraepelin, Warut Suksompong, Markus Utke

Improved Approximation Ratio for Strategyproof Facility Location on a Cycle

Krzysztof Rogowski, Marcin Dziubiński

Optimal Capacity Modification for Stable Matchings with Ties

Keshav Ranjan, Meghana Nasre, Prajakta Nimbhorkar

The Core of Approval-Based Committee Elections with Few Seats

Dominik Peters

Variety-Seeking Jump Games on Graphs

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

Joint-Perturbation Simultaneous Pseudo-Gradient

Carlos Martin, Tuomas Sandholm

Asymptotic Fair Division: Chores Are Easier Than Goods

Pasin Manurangsi, Warut Suksompong

Asymptotic Analysis of Weighted Fair Division

Pasin Manurangsi, Warut Suksompong, Tomohiko Yokoyama

Viral Marketing and Convergence Properties in Generalised Voter Model

Abhiram Manohara, Ahad N. Zehmakan

Stackelberg vs. Nash in the Lottery Colonel Blotto Game

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

Approximately EFX and fPO Allocations for Bivalued Chores

Zehan Lin, Xiaowei Wu, Shengwei Zhou

Logarithmic Approximations for Fair k-Set Selection

Shi Li, Chenyang Xu, Ruilong Zhang

Fair Submodular Maximization over a Knapsack Constraint

Lijun Li, Chenyang Xu, Liuyi Yang, Ruilong Zhang

Online Housing Market

Julien Lesca

Efficient Algorithms for Electing Successive Committees

Pallavi Jain, Andrzej Kaczmarczyk

Dividing Conflicting Items Fairly

Ayumi Igarashi, Pasin Manurangsi, Hirotaka Yoneda

The Proportional Veto Principle for Approval Ballots

Daniel Halpern, Ariel D. Procaccia, Warut Suksompong

More Efforts Towards Fixed-Parameter Approximability of Multiwinner Rules

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

Strategyproofness and Monotone Allocation of Auction in Social Networks

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

Airdrop Games

Sotiris Georganas, Aggelos Kiayias, Paolo Penna

Beyond Symmetry in Repeated Games with Restarts

Henry Fleischmann, Kiriaki Fragkia, Ratip Emin Berker

Optimal Metric Distortion for Matching on the Line

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

Non-Obvious Manipulability in Additively Separable and Fractional Hedonic Games

Diodato Ferraioli, Giovanna Varricchio

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

Michail Fasoulakis, Evangelos Markakis, Georgios Roussakis, Christodoulos Santorinaios

EFX Feasible Scheduling for Time-dependent Resources

Jiazhu Fang, Qizhi Fang, Minming Li, Wenjing Liu

Participatory Budgeting Project Strength via Candidate Control

Piotr Faliszewski, Łukasz Janeczko, Dusan Knop, Jan Pokorný, Šimon Schierreich

Not in My Backyard! Temporal Voting Over Public Chores

Edith Elkind, Tzeh Yuan Neoh, Nicholas Teh

Inverse Game Theory: An Incenter-Based Approach

Lvye Cui, Haoran Yu, Pierre Pinson, Dario Paccagnan

Decentralized Online Learning by Selfish Agents in Coalition Formation

Saar Cohen, Noa Agmon

Maximin Share Guarantees for Few Agents with Subadditive Valuations

George Christodoulou, Vasilis Christoforidis, Symeon Mastrakoulis, Alkmini Sgouritsa

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

Jiehua Chen, Martin Durand, Christian Hatschka

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

Martin Bullinger, Matan Gilboa

Constrained Serial Dictatorships Can Be Fair

Sylvain Bouveret, Hugo Gilbert, Jérôme Lang, Guillaume Méroué

How to Resolve Envy by Adding Goods

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

Smart Contracts for Trustless Sampling of Correlated Equilibria

Togzhan Barakbayeva, Zhuo Cai, Amir Goharshady, Karaneh Keypoor

Distance Preservation Games

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

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

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

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

Xingrui Zhuo, Shirui Pan, Jiapu Wang, Gongqing Wu, Zan Zhang

Adversarial Propensity Weighting for Debiasing in Collaborative Filtering

Kuiyu Zhu, Tao Qin, Pinghui Wang, Xin Wang

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

Zeyu Zhou, Yan Lin, Haomin Wen, Shengnan Guo, Jilin Hu

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

Zhongying Zhao, Jinyu Zhang, Chuanxu Jia, CHAO LI, Yanwei Yu

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

Zhongying Zhao, Gen Liu, Qi Meng, CHAO LI, Qingtian Zeng

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

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

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

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

Yifan Zhang, Haolong Xiang, Xiaolong Xu, Zishun Rui, Xiaoyong 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

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

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

Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems

Hao Zhang, Mingyue Cheng, Zhiding Liu, Junzhe Jiang

Device-Cloud Collaborative Correction for On-Device Recommendation

Tianyu Zhan, Shengyu Zhang, Zheqi Lv, jieming zhu, Jiwei Li

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting

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

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

Shilu Yuan, Xiaoyu Li, Wenqian Mu, Ji Zhong, Meng Chen

A Centrality-based Graph Learning Framework

Jiajun Yu, zhihao wu, Jielong Lu, Tianyue Wang, Haishuai Wang

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

Di Yu, Changze Lv, Xin Du, Linshan Jiang, Qing Yin

A Prior-based Discrete Diffusion Model for Social Graph Generation

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

Coupling Category Alignment for Graph Domain Adaptation

Nan Yin, Xiao Teng, Zhiguang Cao, Mengzhu Wang

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

Yang Yang, Xixian Wu, Qing-Yuan Jiang

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

Min Yang, Yang An, Jinliang Deng, Xiaoyu Li, Bin Xu

Universal Graph Self-Contrastive Learning

Liang Yang, Yukun Cai, Hui Ning, Jiaming Zhuo, Di Jin

Revealing Concept Shift in Spatio-Temporal Graphs via State Learning

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

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

Han Yan, Dongliang Chen, Guiyuan Jiang, Bin Wang, Lei Cao

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

Yuanbo Xu, Hongxu Shen, Yiheng Jiang, En Wang

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

Hangtong Xu, Yuanbo Xu, Huayuan Liu, En Wang

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

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

Dual Encoder Contrastive Learning with Augmented Views for Graph Anomaly Detection

Nannan Wu, Hongdou Dong, Wenjun Wang, Yiming Zhao

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

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

Yuxiang Wang, Xiao Yan, Shiyu Jin, Quanqing Xu, Chuang Hu

HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model

Yuling Wang, Zihui Chen, Pengfei Jiao, Xiao Wang

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

Yuchen Wang, Dongpeng Hou, Chao Gao, Xianghua Li

STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation

Yiming Wang, Hao Peng, Senzhang Wang, Haohua Du, Chunyang Liu