IJCAI 2025

1,280 papers

Category-aware EEG Image Generation Based on Wavelet Transform and Contrast Semantic Loss

Enshang Zhang, Zhicheng Zhang, Takashi Hanakawa

MedualTime: A Dual-Adapter Language Model for Medical Time Series-Text Multimodal Learning

Jiexia Ye, Weiqi Zhang, Ziyue Li, Jia Li, Meng Zhao

KP-PINNs: Kernel Packet Accelerated Physics Informed Neural Networks

Siyuan Yang, Cheng Song, Zhilu Lai, Wenjia Wang

Endowing Interpretability for Neural Cognitive Diagnosis by Efficient Kolmogorov-Arnold Networks

Shangshang Yang, Linrui Qin, Xiaoshan Yu, Ziwen Wang, Xueming Yan

Backdoor Attack on Vertical Federated Graph Neural Network Learning

Jirui Yang, Peng Chen, Zhihui Lu, Jianping Zeng, Qiang Duan

UltraModel: A Modeling Paradigm for Industrial Objects

Haoran Yang, Yinan Zhang, Qunshan He, Yuqi Ye, Jing Zhao

scSiameseClu: A Siamese Clustering Framework for Interpreting Single-cell RNA Sequencing Data

Ping Xu, Zhiyuan Ning, Pengjiang Li, Wenhao Liu, Pengyang Wang

EchoGPT: An Interactive Cardiac Function Assessment Model for Echocardiogram Videos

Bo Xu, Quanhao Zhu, Qingchen Zhang, Mengmeng Wang, Liang Zhao

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models

Guangzhi Xiong, Eric Xie, Corey Williams, Myles Kim, Amir Hassan Shariatmadari

Electron Density-enhanced Molecular Geometry Learning

Hongxin Xiang, Jun Xia, Xin Jin, Wenjie Du, Li Zeng

ARMR: Adaptively Responsive Network for Medication Recommendation

Feiyue Wu, Tianxing Wu, Shenqi Jing

Attention-based Conditional Random Field for Financial Fraud Detection

Xiaoguang Wang, Chenxu Wang, Luyue Zhang, Xiaole Wang, Mengqin Wang

POMP: Pathology-omics Multimodal Pre-training Framework for Cancer Survival Prediction

Suixue Wang, Shilin Zhang, Huiyuan Lai, Weiliang Huo, Qingchen Zhang

Incorporating Legal Logic into Deep Learning: An Intelligent Approach to Probation Prediction

Qinghua Wang, Xu Zhang, Lingyan Yang, Rui Shao, Bonan Wang

Advancing Embodied Agent Security: From Safety Benchmarks to Input Moderation

Ning Wang, Zihan Yan, Weiyang Li, Chuan Ma, He Chen

TESTN: A Triad-Enhanced Spatio-Temporal Network for Multi-Temporal POI Relationship Inference

Hongyu Wang, Lisi Chen, Shuo Shang

ST-TAR: An Efficient Spatio-Temporal Learning Framework for Traffic Accident Risk Forecasting

Hongyu Wang, Lisi Chen, Shuo Shang, Peng Han, Christian S. Jensen

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

Robust Misinformation Detection by Visiting Potential Commonsense Conflict

Bing Wang, Ximing Li, Changchun Li, Bingrui Zhao, Bo Fu

PeSANet: Physics-encoded Spectral Attention Network for Simulating PDE-Governed Complex Systems

Han Wan, Rui Zhang, Qi Wang, Yang Liu, Hao Sun

LogiCase: Effective Test Case Generation from Logical Description in Competitive Programming

Sicheol Sung, Aditi, Dogyu Kim, Yo-Sub Han, Sang-Ki Ko

MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction

Zishan Shu, Yufan Deng, Hongyu Zhang, Zhiwei Nie, Jie Chen

PDDFormer: Pairwise Distance Distribution Graph Transformer for Crystal Material Property Prediction

Xiangxiang Shen, Zheng Wan, Lingfeng Wen, Licheng Sun, Jian Yang

BinMetric: A Comprehensive Binary Code Analysis Benchmark for Large Language Models

Xiuwei Shang, Guoqiang Chen, Shaoyin Cheng, Benlong Wu, Li Hu

Diffusion-aware Censored Gaussian Processes for Demand Modelling

Filipe Rodrigues

Disentangled and Personalized Representation Learning for Next Point-of-Interest Recommendation

Xuan Rao, Shuo Shang, Lisi Chen, Renhe Jiang, Peng Han

Solving Copyright Infringement on Short Video Platforms: Novel Datasets and an Audio Restoration Deep Learning Pipeline

Minwoo Oh, Minsu Park, Eunil Park

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

Localizing Before Answering: A Benchmark for Grounded Medical Visual Question Answering

Dung Nguyen, Minh Khoi Ho, Huy Ta, Thanh Tam Nguyen, Qi Chen

Adaptive Wizard for Removing Cross-Tier Misconfigurations in Active Directory

Huy Q. Ngo, Mingyu Guo, Hung X. Nguyen

InnateCoder: Learning Programmatic Options with Foundation Models

Rubens O. Moraes, Quazi Asif Sadmine, Hendrik Baier, Levi H. S. Lelis

Fine-Grained and Efficient Self-Unlearning with Layered Iteration

Hongyi Lyu, Xuyun Zhang, Hongsheng Hu, Shuo Wang, Chaoxiang He

MMET: A Multi-Input and Multi-Scale Transformer for Efficient PDEs Solving

Yichen Luo, Jia Wang, Dapeng Lan, Yu Liu, Zhibo Pang

Can We Translate Code Better with LLMs and Call Graph Analysis?

Yang Luo

LPDetective: Dusting the LLM Chats for Prompt Template Abusers

Yang Luo, Qingni Shen, Zhonghai Wu

MA-RAG: Automating Role Engineering for RESTful APIs with Multi-Head Attention and Retrieval-Augmented Generation

Yang Luo, Qingni Shen, Zhonghai Wu

Enhancing Multimodal Protein Function Prediction Through Dual-Branch Dynamic Selection with Reconstructive Pre-Training

Xiaoling Luo, Peng Chen, Chengliang Liu, Xiaopeng Jin, Jie Wen

FBQuant: FeedBack Quantization for Large Language Models

Yijiang Liu, Hengyu Fang, Liulu He, Rongyu Zhang, Yichuan Bai

Misclassification-driven Fingerprinting for DNNs Using Frequency-aware GANs

Weixing Liu, Shenghua Zhong

Asset Pricing with Contrastive Adversarial Variational Bayes

Ruirui Liu, Huichou Huang, Johannes Ruf

Towards Generalizable Neural Simulators: Addressing Distribution Shifts Induced by Environmental and Temporal Variations

Jiaqi Liu, Jiaxu Cui, Shiang Sun, Yizhu Zhao, Bo Yang

Enhancing Chemical Reaction and Retrosynthesis Prediction with Large Language Model and Dual-task Learning

Xuan Lin, Qingrui Liu, Hongxin Xiang, Daojian Zeng, Xiangxiang Zeng

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

KnowMDD: Knowledge-guided Cross Contrastive Learning for Major Depressive Disorder Diagnosis

Anchen Lin, Weikun Wang, Haijun Han, Fanwei Zhu, Qi Ma

COGRASP: Co-Occurrence Graph Based Stock Price Forecasting

Zhengze Li, Zilin Song, Tingting Yuan, Xiaoming Fu

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

RetroMoE: A Mixture-of-Experts Latent Translation Framework for Single-step Retrosynthesis

Xinjie Li, Abhinav Verma

AlphaGAT: A Two-Stage Learning Approach for Adaptive Portfolio Selection

Shicheng Li, Jinshan Zhang, Feng Wang

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

Diffusion Guided Propagation Augmentation for Popularity Prediction

Chaozhuo Li, Tianqi Yang, Litian Zhang, Xi Zhang

Secure and Efficient Watermarking for Latent Diffusion Models in Model Distribution Scenarios

Liangqi Lei, Keke Gai, Jing Yu, Liehuang Zhu, Qi Wu

Contrastive Unlearning: A Contrastive Approach to Machine Unlearning

Hong kyu Lee, Qiuchen Zhang, Carl Yang, Jian Lou, Li Xiong

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

Bridging Local and Global Knowledge via Transformer in Board Games

Yan-Ru Ju, Tai-Lin Wu, Chung-Chin Shih, Ti-Rong Wu

M^2LLM: Multi-view Molecular Representation Learning with Large Language Models

Jiaxin Ju, YIZHEN ZHENG, Huan Yee Koh, Can Wang, Shirui Pan

Lazy Testing of Machine-Learning Models

Anastasia Isychev, Valentin Wüstholz, Maria Christakis

CompLex: Music Theory Lexicon Constructed by Autonomous Agents for Automatic Music Generation

Zhejing Hu, Yan Liu, Gong Chen, Bruce X. B. Yu

RRG-Mamba: Efficient Radiology Report Generation with State Space Model

Xiaodi Hou, XIAOBO LI, MingYu Lu, Simiao Wang, Yijia Zhang

Contrastive Cross-Course Knowledge Tracing via Concept Graph Guided Knowledge Transfer

Wenkang Han, Wang Lin, Liya Hu, Zhenlong Dai, Yiyun Zhou

Conditional Causal Representation Learning for Heterogeneous Single-cell RNA Data Integration and Prediction

Jiayi Dong, Jiahao Li, Fei Wang

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

State Feedback Enhanced Graph Differential Equations for Multivariate Time Series Forecasting

Jiaxu Cui, Qipeng Wang, Yiming Zhao, Bingyi Sun, pengfei wang

Minimizing Polarization and Disagreement in the Friedkin–Johnsen Model with Unknown Innate Opinions

Federico Cinus, Atsushi Miyauchi, Yuko Kuroki, Francesco Bonchi

FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers

Tianyu Chen, Haoyi Zhou, Ying Li, Hao Wang, Zhenzhe Zhang

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

Logic Distillation: Learning from Code Function by Function for Decision-making Tasks

Dong Chen, Shilin Zhang, Fei Gao, Yueting Zhuang, Siliang Tang

Dynamic Network Discovery via Infection Tracing

Ben Bals, Michelle Döring, Nicolas Klodt, George Skretas

POLO: An LLM-Powered Project-Level Code Performance Optimization Framework

Jiameng Bai, Ruoyi Xu, Sai Wu, Dingyu Yang, Junbo Zhao

Enhanced Graph Similarity Learning via Adaptive Multi-scale Feature Fusion

Cuifang Zou, Guangquan Lu, Wenzhen Zhang, Xuxia Zeng, Shilong Lin

Inconsistency-Based Federated Active Learning

Chen-Chen Zong, Tong Jin, Sheng-jun Huang

Strategy-Architecture Synergy: A Multi-View Graph Contrastive Paradigm for Consistent Representations

Shuman Zhuang, zhihao wu, Yuhong Chen, Zihan Fang, Jiali Yin

Robust Graph Contrastive Learning for Incomplete Multi-view Clustering

Deyin Zhuang, Jian Dai, Xingfeng Li, Xi Wu, Yuan Sun

Dyn-D^2P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee

Zehan Zhu, Yan Huang, Xin Wang, Shouling Ji, Jinming Xu

Finite-Time Analysis of Heterogeneous Federated Temporal Difference Learning

Ye Zhu, Xiaowen Gong, Shiwen Mao

Sample-Efficient Behavior Cloning Using General Domain Knowledge

Feiyu Zhu, Jean Oh, Reid Simmons

Towards Improved Risk Bounds for Transductive Learning

Bowei Zhu, Shaojie Li, Yong Liu

Injecting Imbalance Sensitivity for Multi-Task Learning

Zhipeng Zhou, Liu Liu, Peilin Zhao, Wei Gong

CGI: Identifying Conditional Generative Models with Example Images

Zhi Zhou, Hao-Zhe Tan, Peng-Xiao Song, Lan-Zhe Guo

CADP: Towards Better Centralized Learning for Decentralized Execution in MARL

Yihe Zhou, Shunyu Liu, Yunpeng Qing, Tongya Zheng, Kaixuan Chen

Fault Diagnosis in REDNet Model Space

Xiren Zhou, Ziyu Tang, Shikang Liu, Ao Chen, Xiangyu Wang

Underground Diagnosis in 3D GPR Data by Learning in CuCoRes Model Space

Xiren Zhou, Shikang Liu, Xinyu Yan, Xiangyu Wang, Huanhuan Chen

Self-Consistent Model-based Adaptation for Visual Reinforcement Learning

Xinning Zhou, Chengyang Ying, Yao Feng, Hang Su, Jun Zhu

Robustness to Spurious Correlations via Dynamic Knowledge Transfer

Xiaoling Zhou, Wei Ye, Zhemg Lee, Shikun Zhang

Enhancing the Performance of Global Model by Improving the Adaptability of Local Models in Federated Learning

Wujun Zhou, Shu Ding, Zelin Li, Wei Wang

Dual-Balancing for Physics-Informed Neural Networks

Chenhong Zhou, Jie Chen, Zaifeng Yang, Ching Eng Png

A Dynamic Stiefel Graph Neural Network for Efficient Spatio-Temporal Time Series Forecasting

Jiankai Zheng, Liang Xie

ShortcutProbe: Probing Prediction Shortcuts for Learning Robust Models

Guangtao Zheng, Wenqian Ye, Aidong Zhang

Negative Metric Learning for Graphs

Yiyang Zhao, Chengpei Wu, Lilin Zhang, Ning Yang

PerfSeer: An Efficient and Accurate Deep Learning Models Performance Predictor

Xinlong Zhao, Jiande Sun, Jia Zhang, Tong Liu, Ke Liu

High-Confident Local Structure Guided Consensus Graph Learning For Incomplete Multi-view Clustering

Shuping Zhao, Lunke Fei, Qi Lai, Jie Wen, Jinrong Cui

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

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

Dual Robust Unbiased Multi-View Clustering for Incomplete and Unpaired Information

Liang Zhao, Ziyue Wang, Chuanye He, Qingchen Zhang, Bo Xu

Efficient Diversity-based Experience Replay for Deep Reinforcement Learning

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

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

Graph OOD Detection via Plug-and-Play Energy-based Evaluation and Propagation

Yunxia Zhang, Mingchen Sun, Yutong Zhang, Funing Yang, Ying Wang

CRAFT: Time Series Forecasting with Cross-Future Behavior Awareness

Yingwei Zhang, Ke Bu, Zhuoran Zhuang, Tao Xie, Yao Yu

Federated Stochastic Bilevel Optimization with Fully First-Order Gradients

Yihan Zhang, Rohit Dhaipule, Chiu C. Tan, Haibin Ling, Hongchang Gao

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

Dynamic and Adaptive Feature Generation with LLM

Xinhao Zhang, Jinghan Zhang, Banafsheh Rekabdar, Yuanchun Zhou, pengfei wang