IJCAI 2025

1,280 papers

LEKA: LLM-Enhanced Knowledge Augmentation

Xinhao Zhang, Jinghan Zhang, Fengran Mo, Dongjie Wang, Yanjie Fu

Aligning Contrastive Multiple Clusterings with User Interests

Shan Zhang, Liangrui Ren, Jun Wang, Yanyu Xu, Carlotta Domeniconi

Model Rake: A Defense Against Stealing Attacks in Split Learning

Qinbo Zhang, Xiao Yan, Yanfeng Zhao, Fangcheng Fu, Quanqing Xu

Conditional Denoising Meets Polynomial Modeling: A Flexible Decoupled Framework for Time Series Forecasting

Jintao Zhang, Mingyue Cheng, Xiaoyu Tao, Zhiding Liu, Daoyu Wang

Deduction with Induction: Combining Knowledge Discovery and Reasoning for Interpretable Deep Reinforcement Learning

Haodi Zhang, Xiangyu Zeng, Junyang Chen, Yuanfeng Song, Rui Mao

On the Power of Optimism in Constrained Online Convex Optimization

Haobo Zhang, Hengquan Guo, Xin Liu

Rethinking Federated Graph Learning: A Data Condensation Perspective

Hao Zhang, Xunkai Li, Yinlin Zhu, Lianglin Hu

Accelerating Adversarial Training on Under-Utilized GPU

Zhuoxin Zhan, Ke Wang, Pulei Xiong

Multi-Task Curriculum Graph Contrastive Learning with Clustering Entropy Guidance

Chusheng Zeng, Bocheng Wang, Jinghui Yuan, Mulin Chen, Xuelong Li

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

A Multi-Granularity Clustering Approach for Federated Backdoor Defense with the Adam Optimizer

Jidong Yuan, Qihang Zhang, Naiyue Chen, Shengbo Chen, Baomin Xu

FedSaaS: Class-Consistency Federated Semantic Segmentation via Global Prototype Supervision and Local Adversarial Harmonization

Xiaoyang Yu, Xiaoming Wu, Xin Wang, Dongrun Li, Ming Yang

Wrapped Partial Label Dimensionality Reduction via Dependence Maximization

Xiang-Ru Yu, Deng-Bao Wang, Min-ling Zhang

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks

Di Yu, Changze Lv, Xin Du, Linshan Jiang, Wentao Tong

Exploiting Label Skewness for Spiking Neural Networks in Federated Learning

Di Yu, Xin Du, Linshan Jiang, Huijing Zhang, Shuiguang Deng

Boost Embodied AI Models with Robust Compression Boundary

Chong Yu, Tao Chen, Zhongxue Gan

Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property

Yuya Yoshikawa, Masanari Kimura, Ryotaro Shimizu, Yuki Saito

ExpertDiff: Head-less Model Reprogramming with Diffusion Classifiers for Out-of-Distribution Generalization

Jee Seok Yoon, Junghyo Sohn, Wootaek Jeong, Heung-Il Suk

Run Like a Neural Network, Explain Like k-Nearest Neighbor

Xiaomeng Ye, David Leake, Yu Wang, David Crandall

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

Learning Heterogeneous Performance-Fairness Trade-offs in Federated Learning

Rongguang Ye, Ming Tang

Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization

Xinhao Yao, Hongjin Qian, Xiaolin Hu, Gengze Xu, Wei Liu

From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination

Chang Yao, Youfang Lin, Shoucheng Song, Hao Wu, Yuqing Ma

Smoothed Online Convex Optimization with Delayed Feedback

Sifan Yang, Wenhao Yang, Wei Jiang, Yuanyu Wan, Lijun Zhang

Decoupling and Reconstructing: A Multimodal Sentiment Analysis Framework Towards Robustness

Mingzheng Yang, Kai Zhang, Yuyang Ye, Yanghai Zhang, Runlong Yu

Multi-view Clustering via Multi-granularity Ensemble

jie Yang, Wei Chen, Feng Liu, Peng Zhou, Zhongli Wang

Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification

Xiaoshuo Yan, Zhaochuan Li, Lei Meng, Zhuang Qi, Wei Wu

Problem-dependent Regret for Lexicographic Multi-Armed Bandits with Adversarial Corruptions

Bo Xue, Xi Lin, Yuanyu Wan, Qingfu Zhang

No Regret Reinforcement Learning Algorithms for Online Scheduling with Multi-Stage Tasks

Yongxin Xu, Hengquan Guo, Ziyu Shao, Xin Liu

Predicting Spectral Information for Self-Supervised Signal Classification

Yi Xu, Shuang Wang, Hantong Xing, Chenxu Wang, Dou Quan

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

Dynamic Anchor-based Ensemble Clustering via Hypergraph Reconstruction

Jiaxuan Xu, Lei Duan, Xinye Wang, Liang Du

TCDM: A Temporal Correlation-Empowered Diffusion Model for Time Series Forecasting

Huibo Xu, Likang Wu, Xianquan Wang, Zhiding Liu, Qi Liu

On the Learning with Augmented Class via Forests

Fan Xu, Wuyang Chen, Wei Gao

Continuous Diffusive Prediction Network for Multi-Station Weather Prediction

Chujie Xu, Yuqing Ma, Haoyuan Deng, Yajun Gao, Yudie Wang

On the Generalization of Feature Incremental Learning

Chao Xu, Xijia Tang, Lijun Zhang, Chenping Hou

Beyond Statistical Analysis: Multimodal Framework for Time Series Forecasting with LLM-Driven Temporal Pattern

Jiahong Xiong, Chengsen Wang, Haifeng Sun, Yuhan Jing, Qi Qi

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

Partial Label Clustering

Yutong Xie, Fuchao Yang, Yuheng Jia

Spatially Resolved Transcriptomics Data Clustering with Tailored Spatial-scale Modulation

Yuang Xiao, Yanran Zhu, Chang Tang, Xiao Zheng, Yuanyuan Liu

Escaping Saddle Point Efficiently in Minimax and Bilevel Optimizations

Wenhan Xian, Feihu Huang, Heng Huang

Relation-Augmented Dueling Bayesian Optimization via Preference Propagation

Xiang Xia, Xiang Shu, Shuo Liu, Yiyi Zhu, Yijie Zhou

Efficient Quantum Approximate kNN Algorithm via Granular-Ball Computing

Shuyin Xia, Xiaojiang Tian, Suzhen Yuan, Jeremiah D. Deng

Granular-Ball-Induced Multiple Kernel K-Means

Shuyin Xia, Yifan Wang, Lifeng Shen, Guoyin Wang

LRGR: Self-Supervised Incomplete Multi-View Clustering via Local Refinement and Global Realignment

Yanwanyu Xi, Xiao Zheng, Chang Tang, Xingchen Hu, Yuanyuan Liu

Divide and Conquer: Coordinating Multiplex Mixture of Graph Learners to Handle Multi-Omics Analysis

zhihao wu, Jielong Lu, Jiajun Yu, Sheng Zhou, Yueyang Pi

Boosting Few-Shot Open-Set Object Detection via Prompt Learning and Robust Decision Boundary

Zhaowei Wu, Binyi Su, Qichuan Geng, Hua Zhang, Zhong Zhou

General Incomplete Time Series Analysis via Patch Dropping Without Imputation

Yangyang Wu, Yi Yuan, Mengying Zhu, Xiaoye Miao, Meng Xi

Zero-shot Federated Unlearning via Transforming from Data-Dependent to Personalized Model-Centric

Wenhan Wu, Huanghuang Liang, Jingling Yuan, Jiawei Jiang, Kanye Ye Wang

Wave-driven Graph Neural Networks with Energy Dynamics for Over-smoothing Mitigation

Peihan Wu, Hongda Qi, Sirong Huang, Dongdong An, Jie Lian

Imputation-free Incomplete Multi-view Clustering via Knowledge Distillation

Benyu Wu, Wei Du, Jun Wang, Guoxian Yu

Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain

Hyowon Wi, Jeongwhan Choi, Noseong Park

Fast Second-Order Online Kernel Learning Through Incremental Matrix Sketching and Decomposition

Dongxie Wen, Xiao Zhang, Zhewei Wei, Chenping Hou, Shuai Li

Evolvable Conditional Diffusion

Zhao Wei, Chin Chun Ooi, Abhishek Gupta, Jian Cheng Wong, Pao-Hsiung Chiu

Curriculum Abductive Learning for Mitigating Reasoning Shortcuts

Wen-Da Wei, Xiao-wen Yang, Jie-Jing Shao, Lan-Zhe Guo

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

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

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

BILE: An Effective Behavior-based Latent Exploration Scheme for Deep Reinforcement Learning

Yiming Wang, Kaiyan Zhao, Yan Li, Leong Hou U

All Roads Lead to Rome: Exploring Edge Distribution Shifts for Heterophilic Graph Learning

Yi Wang, Changqin Huang, Ming Li, Tingyi Cai, Zhonglong Zheng

AdaR: An Adaptive Gradient Method with Cyclical Restarting of Moment Estimations

Yangchuan Wang, Lianhong Ding, Peng Shi

Reliable Disentanglement Multi-view Learning Against View Adversarial Attacks

Xuyang Wang, Siyuan Duan, Qizhi Li, Guiduo Duan, Yuan Sun

A Fast and Accurate ANN-SNN Conversion Algorithm with Negative Spikes

Xu Wang, Dongchen Zhu, Jiamao Li

Learn Multi-task Anchor: Joint View Imputation and Label Generation for Incomplete Multi-view Clustering

Xinxin Wang, Yongshan Zhang, Yicong Zhou

Enhancing Counterfactual Estimation: A Focus on Temporal Treatments

Xin Wang, Shengfei Lyu, kangyang Luo, Lishan Yang, Huanhuan Chen

In-context Learning Demonstration Generation with Text Distillation

Wuyuqing Wang, Erkun Yang, Zilan Zhou, Cheng Deng

On the Discrimination and Consistency for Exemplar-Free Class Incremental Learning

Tianqi Wang, Jingcai Guo, Depeng Li, Zhi Chen

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

Suixue Wang, Shilin Zhang, Qingchen Zhang, Peng Li, Weiliang Huo

An Association-based Fusion Method for Speech Enhancement

Shijie Wang, Qian Guo, Lu Chen, Liang Du, Zikun Jin

Towards Robust Incremental Learning Under Ambiguous Supervision

Rui Wang, Mingxuan Xia, Haobo Wang, Lei Feng, Junbo Zhao

Improving Generalization in Meta-Learning via Meta-Gradient Augmentation

REN WANG, Haoliang Sun, Yuxiu Lin, Xinxin Zhang, Yilong Yin

Fair Incomplete Multi-View Clustering via Distribution Alignment

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

Enhanced Unsupervised Discriminant Dimensionality Reduction for Nonlinear Data

Qianqian Wang, Mengping Jiang, Wei Feng, Zhengming Ding

Efficient Multi-view Clustering via Reinforcement Contrastive Learning

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

A Simple yet Effective Hypergraph Clustering Network

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

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

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

Maolin Wang, Tianshuo Wei, Sheng Zhang, Ruocheng Guo, Wangyu Wang

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

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

Kaixiang Wang, Xiaojian Ding, Fan Yang

High-Fidelity Road Network Generation with Latent Diffusion Models

Jinming Wang, Hongkai Wen, Geyong Min, Man Luo

Learning Robust Multi-view Representation Using Dual-masked VAEs

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

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

Jianzhou Wang, Yirui Wu, Lixin Yuan, Wenxiao Zhang, Jun Liu

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

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

Meta Label Correction with Generalization Regularizer

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

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

Zilin Tian, Yunfei Long, Liguo Zhang, Jiahong Zhao

Rule-Guided Reinforcement Learning Policy Evaluation and Improvement

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

Avoiding Undesired Future with Sequential Decisions

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

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

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

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

Hao Tang, Shengfeng He, Jing Qin

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

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

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

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

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

Lingyun Song, Xiaofan Sun, Xinbiao Gan, Yudai Pan, Xiaolin Han

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

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

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

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

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

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

HGEN: Heterogeneous Graph Ensemble Networks

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

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

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

In-Context Meta LoRA Generation

Yihua Shao, Minxi Yan, Yang Liu, Siyu Chen, Wenjie Chen

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