IJCAI 2025

1,280 papers

What Can We Learn From MIMO Graph Convolutions?

Andreas Roth, Thomas Liebig

Optimizing Parameters of Quantum Circuits with Sparsity-Inducing Coordinate Descent

Rudy Raymond, Zichang He

Exploring Transferable Homogenous Groups for Compositional Zero-Shot Learning

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

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

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

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

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

Heterophily-Aware Personalized PageRank for Node Classification

Giuseppe Pirrò

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

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

Fast Guaranteed Tensor Recovery with Adaptive Tensor Nuclear Norm

Jiangjun Peng, Hailin Wang, Xiangyong Cao, Shuang Xu

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

Kijeong Park, Sungchul Hong, Jong-June Jeon

Stability and Generalization for Stochastic (Compositional) Optimizations

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

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

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

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

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

Multi-granularity Knowledge Transfer for Continual Reinforcement Learning

Chaofan Pan, Lingfei Ren, Yihui Feng, Linbo Xiong, Wei Wei

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

Harsh Pal, Sarthak Malik, Rajat Patel, Aakarsh Malhotra

Beyond the Known: Decision Making with Counterfactual Reasoning Decision Transformer

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

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

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

A Case for Validation Buffer in Pessimistic Actor-Critic

Michał Nauman, Mateusz Ostaszewski, Marek Cygan

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

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

Hanyang Meng, Jielong Yang, Li Peng

NeSyA: Neurosymbolic Automata

Nikolaos Manginas, George Paliouras, Luc De Raedt

Advancing Generalization Across a Variety of Abstract Visual Reasoning Tasks

Mikołaj Małkiński, Jacek Mańdziuk

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

Mikołaj Małkiński, Jacek Mańdziuk

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

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

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

Expanding the Category of Classifiers with LLM Supervision

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

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

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

BMIP: Bi-directional Modality Interaction Prompt Learning for VLM

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

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

Feixiao Lv, Rui Wang, Lihua Jing, Lijun Liu

Guiding LLM-based Smart Contract Generation with Finite State Machine

Hao Luo, Yuhao Lin, Xiao Yan, Xintong Hu, Yuxiang Wang

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

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

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

Zhijie Lu, Wuxuan Shi, He Li, Mang Ye

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

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

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

Luca Salvatore Lorello, Marco Lippi, Stefano Melacci

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

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

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

Generic Adversarial Attack Framework Against Vertical Federated Learning

Yimin Liu, Peng Jiang

Optimal Policy Adaptation Under Covariate Shift

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

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

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

DUQ: Dual Uncertainty Quantification for Text-Video Retrieval

Xin Liu, Shibai Yin, Jun Wang, Jiaxin Zhu, Xingyang Wang

Imagination-Limited Q-Learning for Offline Reinforcement Learning

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

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

Qian Liu, Huibing Wang, Jinjia Peng, Yawei Chen, Mingze Yao

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

Menghan Liu, Jianhuan Cen, Ziyang Zhou, Haolong Fan, Hongji Li

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

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

Identifying and Reusing Learnwares Across Different Label Spaces

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

Hybrid Local Causal Discovery

Zhaolong Ling, Honghui Peng, Yiwen Zhang, Debo Cheng, Xingyu Wu

Gradient-based Causal Feature Selection

Zhaolong Ling, Mengxiang Guo, Xingyu Wu, Debo Cheng, Peng Zhou

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

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

A Primal-dual Perspective for Distributed TD-learning

Han Dong Lim, Donghwan Lee

Federated Domain Generalization with Decision Insight Matrix

Tianchi Liao, Binghui Xie, Lele Fu, Sheng Huang, Bowen Deng

View-Association-Guided Dynamic Multi-View Classification

Xinyan Liang, Li Lv, Qian Guo, Bingbing Jiang, Feijiang Li

Critical Node-aware Augmentation for Hypergraph Contrastive Learning

Zhuo Li, Yuena Lin, Yipeng Wang, Wenmao Liu, Mingliang Yu

SIFAR: A Simple Faster Accelerated Variance-Reduced Gradient Method

Zhize Li

Uncertainty-guided Graph Contrastive Learning from a Unified Perspective

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

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

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

Conditional Information Bottleneck-Based Multivariate Time Series Forecasting

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

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

Nan Li, Bing Xue, Lianbo Ma, Mengjie Zhang

Efficient Differentiable Approximation of Generalized Low-rank Regularization

Naiqi Li, Yuqiu Xie, Peiyuan Liu, Tao Dai, Yong Jiang

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

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

Kailai Li, Jiawei Sun, Jiong Lou, Zhanbo Feng, Hefeng Zhou

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

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

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

Distilling A Universal Expert from Clustered Federated Learning

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

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

Minhyuk Lee, Hyekyung Yoon, Myungjoo Kang

Linear Trading Position with Sparse Spectrum

Zhao-Rong Lai, Haisheng Yang

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

Zhiqiang Kou, Si Qin, Hailin Wang, Jing Wang, Mingkun Xie

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

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

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

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

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

Haidong Kang, Lianbo Ma, Guo Yu, Shangce Gao

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

Zikun Jin, Yuhua Qian, Xinyan Liang, Haijun Geng

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

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

Interactive Multimodal Learning via Flat Gradient Modification

Qing-Yuan Jiang, Zhouyang Chi, Yang Yang

Heterogeneous Federated Learning with Scalable Server Mixture-of-Experts

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

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

Bokai Ji, Guangxia Li, Yulong Shen, Gang Xiao

Most General Explanations of Tree Ensembles

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

Identifying Drivers of Predictive Aleatoric Uncertainty

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

Differentiable Prompt Learning for Vision Language Models

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

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

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

Sujia Huang, Lele Fu, Shuman Zhuang, Yide Qiu, Bo Huang

DONIS: Importance Sampling for Training Physics-Informed DeepONet

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

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

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

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

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

Probabilistic Multimodal Learning with von Mises-Fisher Distributions

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

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

Peiyan Hu, Haodong Feng, Yue Wang, Zhiming Ma

A Correlation Manifold Self-Attention Network for EEG Decoding

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

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

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

An Inverse Optimization Approach to Contextual Inverse Optimization

Yasunari Hikima, Naoyuki Kamiyama

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

XIN HE, Yili Wang, Wenqi Fan, Xu Shen, Xin Juan

Graph Embedded Contrastive Learning for Multi-View Clustering

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

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

Haoqi He, Xiaokai Lin, Jiancai Chen, Yan Xiao

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning

Somnath Hazra, Pallab Dasgupta, Soumyajit Dey

Human-Imperceptible, Machine-Recognizable Images

Fusheng Hao, Fengxiang He, Yikai Wang, Fuxiang Wu, Jing Zhang

Approximated Behavioral Metric-based State Projection for Federated Reinforcement Learning

Zengxia Guo, Bohui An, Zhongqi Lu

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

Yifan Guo, Alyssa Yu

PNAct: Crafting Backdoor Attacks in Safe Reinforcement Learning

Weiran Guo, Guanjun Liu, Ziyuan Zhou, Ling Wang

Towards Debiased Generalized Category Discovery

Pengcheng Guo, Yonghong Song, Boyu Wang

Disentangling Multi-view Representations via Curriculum Learning with Learnable Prior

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

ADPFedGNN: Adaptive Decoupling Personalized Federated Graph Neural Network

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

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

Jiawei Gu, Ziyue Qiao, Zechao Li

Flexible Generalized Low-Rank Regularizer for Tensor RPCA

Zhiyang Gong, Jie Yu, Yutao Hu, Yulong Wang

WDMIR: Wavelet-Driven Multimodal Intent Recognition

Weiyin Gong, Kai Zhang, Yanghai Zhang, Qi Liu, Xinjie Sun