Pan, Shirui

99 publications

AAAI 2025 A Label-Free Heterophily-Guided Approach for Unsupervised Graph Fraud Detection Junjun Pan, Yixin Liu, Xin Zheng, Yizhen Zheng, Alan Wee-Chung Liew, Fuyi Li, Shirui Pan

AAAI 2025 Adversarial Contrastive Graph Masked AutoEncoder Against Graph Structure and Feature Dual Attacks Weixuan Shen, Xiaobo Shen, Shirui Pan

ICML 2025 BiMark: Unbiased Multilayer Watermarking for Large Language Models Xiaoyan Feng, He Zhang, Yanjun Zhang, Leo Yu Zhang, Shirui Pan

ICML 2025 Conformal Anomaly Detection in Event Sequences Shuai Zhang, Chuan Zhou, Yang Liu, Peng Zhang, Xixun Lin, Shirui Pan

NeurIPS 2025 Diagnosing and Addressing Pitfalls in KG-RAG Datasets: Toward More Reliable Benchmarking Liangliang Zhang, Zhuorui Jiang, Hongliang Chi, Haoyang Chen, Mohammed ElKoumy, Fali Wang, Qiong Wu, Zhengyi Zhou, Shirui Pan, Suhang Wang, Yao Ma

AAAI 2025 Domain-Level Disentanglement Framework Based on Information Enhancement for Cross-Domain Cold-Start Recommendation Nian Rong, Fei Xiong, Shirui Pan, Guixun Luo, Jia Wu, Liang Wang

NeurIPS 2025 DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs Dongyuan Li, Shiyin Tan, Ying Zhang, Ming Jin, Shirui Pan, Manabu Okumura, Renhe Jiang

ICML 2025 Equivalence Is All: A Unified View for Self-Supervised Graph Learning Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Ling Li, Jiapu Wang, Fangting Li, Miaomiao Huang, Shirui Pan, Xingwei Wang

NeurIPS 2025 GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation Linhao Luo, Zicheng Zhao, Gholamreza Haffari, Dinh Phung, Chen Gong, Shirui Pan

ICLR 2025 Graph Sparsification via Mixture of Graphs Guibin Zhang, Xiangguo Sun, Yanwei Yue, Chonghe Jiang, Kun Wang, Tianlong Chen, Shirui Pan

ICML 2025 Graph-Constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models Linhao Luo, Zicheng Zhao, Gholamreza Haffari, Yuan-Fang Li, Chen Gong, Shirui Pan

ICML 2025 Less Is More: Federated Graph Learning with Alleviating Topology Heterogeneity from a Causal Perspective Lele Fu, Bowen Deng, Sheng Huang, Tianchi Liao, Shirui Pan, Chuan Chen

IJCAI 2025 M2LLM: Multi-View Molecular Representation Learning with Large Language Models Jiaxin Ju, Yizhen Zheng, Huan Yee Koh, Can Wang, Shirui Pan

ICML 2025 Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification Langzhang Liang, Fanchen Bu, Zixing Song, Zenglin Xu, Shirui Pan, Kijung Shin

ICML 2025 N2GON: Neural Networks for Graph-of-Net with Position Awareness Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Wen Shan, Ling Li, Qian Li, Miaomiao Huang, Meixia Wang, Shirui Pan, Xingwei Wang

AAAI 2025 Open-Set Cross-Network Node Classification via Unknown-Excluded Adversarial Graph Domain Alignment Xiao Shen, Zhihao Chen, Shirui Pan, Shuang Zhou, Laurence T. Yang, Xi Zhou

IJCAI 2025 Progressive Prefix-Memory Tuning for Complex Logical Query Answering on Knowledge Graphs Xingrui Zhuo, Shirui Pan, Jiapu Wang, Gongqing Wu, Zan Zhang, Rui Li, Zizhong Wei, Xindong Wu

AAAI 2025 Robust Graph Based Social Recommendation Through Contrastive Multi-View Learning Fei Xiong, Tao Zhang, Shirui Pan, Guixun Luo, Liang Wang

NeurIPS 2025 ShapeX: Shapelet-Driven Post Hoc Explanations for Time Series Classification Models Bosong Huang, Ming Jin, Yuxuan Liang, Johan Barthelemy, Debo Cheng, Qingsong Wen, Chenghao Liu, Shirui Pan

IJCAI 2025 Sharpness-Aware Zeroth-Order Optimization for Graph Transformers Yang Liu, Chuan Zhou, Yuhan Lin, Shuai Zhang, Yang Gao, Zhao Li, Shirui Pan

IJCAI 2025 T2S: High-Resolution Time Series Generation with Text-to-Series Diffusion Models Yunfeng Ge, Jiawei Li, Yiji Zhao, Haomin Wen, Zhao Li, Meikang Qiu, Hongyan Li, Ming Jin, Shirui Pan

AAAI 2025 TGLsta: Low-Resource Textual Graph Learning with Semantic and Topological Awareness via LLMs Qin Zhang, Xiaowei Li, Ziqi Liu, Xiaochen Fan, Xiaojun Chen, Shirui Pan

ICML 2025 Test-Time Graph Neural Dataset Search with Generative Projection Xin Zheng, Wei Huang, Chuan Zhou, Ming Li, Shirui Pan

ICML 2025 TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting Yifan Hu, Guibin Zhang, Peiyuan Liu, Disen Lan, Naiqi Li, Dawei Cheng, Tao Dai, Shu-Tao Xia, Shirui Pan

ICLR 2025 Towards Neural Scaling Laws for Time Series Foundation Models Qingren Yao, Chao-Han Huck Yang, Renhe Jiang, Yuxuan Liang, Ming Jin, Shirui Pan

ICLR 2025 Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark Yili Wang, Yixin Liu, Xu Shen, Chenyu Li, Rui Miao, Kaize Ding, Ying Wang, Shirui Pan, Xin Wang

NeurIPS 2025 Unsupervised Federated Graph Learning Lele Fu, Tianchi Liao, Sheng Huang, Bowen Deng, Zhangchuanfu, Shirui Pan, Chuan Chen

NeurIPS 2024 ARC: A Generalist Graph Anomaly Detector with In-Context Learning Yixin Liu, Shiyuan Li, Yu Zheng, Qingfeng Chen, Chengqi Zhang, Shirui Pan

NeurIPS 2024 Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective Jiaxi Hu, Yuehong Hu, Wei Chen, Ming Jin, Shirui Pan, Qingsong Wen, Yuxuan Liang

AAAI 2024 Augmented Commonsense Knowledge for Remote Object Grounding Bahram Mohammadi, Yicong Hong, Yuankai Qi, Qi Wu, Shirui Pan, Javen Qinfeng Shi

IJCAI 2024 CONC: Complex-Noise-Resistant Open-Set Node Classification with Adaptive Noise Detection Qin Zhang, Jiexin Lu, Xiaowei Li, Huisi Wu, Shirui Pan, Junyang Chen

NeurIPS 2024 EGonc : Energy-Based Open-Set Node Classification with Substitute Unknowns Qin Zhang, Zelin Shi, Shirui Pan, Junyang Chen, Huisi Wu, Xiaojun Chen

IJCAI 2024 FedPFT: Federated Proxy Fine-Tuning of Foundation Models Zhaopeng Peng, Xiaoliang Fan, Yufan Chen, Zheng Wang, Shirui Pan, Chenglu Wen, Ruisheng Zhang, Cheng Wang

AAAI 2024 GOODAT: Towards Test-Time Graph Out-of-Distribution Detection Luzhi Wang, Dongxiao He, He Zhang, Yixin Liu, Wenjie Wang, Shirui Pan, Di Jin, Tat-Seng Chua

IJCAI 2024 Gradformer: Graph Transformer with Exponential Decay Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Shirui Pan, Wenbin Hu

IJCAI 2024 Graph Attention Network with High-Order Neighbor Information Propagation for Social Recommendation Fei Xiong, Haoran Sun, Gui Xun Luo, Shirui Pan, Meikang Qiu, Liang Wang

ICML 2024 Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification Xixun Lin, Wenxiao Zhang, Fengzhao Shi, Chuan Zhou, Lixin Zou, Xiangyu Zhao, Dawei Yin, Shirui Pan, Yanan Cao

NeurIPS 2024 Large Language Models-Guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning Jiapu Wang, Kai Sun, Linhao Luo, Wei Wei, Yongli Hu, Alan Wee-Chung Liew, Shirui Pan, Baocai Yin

AAAI 2024 NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning Bo Xiong, Mojtaba Nayyeri, Linhao Luo, Zihao Wang, Shirui Pan, Steffen Staab

ICLR 2024 Online GNN Evaluation Under Test-Time Graph Distribution Shifts Xin Zheng, Dongjin Song, Qingsong Wen, Bo Du, Shirui Pan

ICML 2024 Position: What Can Large Language Models Tell Us About Time Series Analysis Ming Jin, Yifan Zhang, Wei Chen, Kexin Zhang, Yuxuan Liang, Bin Yang, Jindong Wang, Shirui Pan, Qingsong Wen

AAAI 2024 ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning Qin Zhang, Xiaowei Li, Jiexin Lu, Liping Qiu, Shirui Pan, Xiaojun Chen, Junyang Chen

ICLR 2024 Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning Linhao Luo, Yuan-Fang Li, Gholamreza Haffari, Shirui Pan

ICML 2024 Sign Is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs Langzhang Liang, Sunwoo Kim, Kijung Shin, Zenglin Xu, Shirui Pan, Yuan Qi

ICLR 2024 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen

AAAI 2024 Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation Di Mi, Yanjun Zhang, Leo Yu Zhang, Shengshan Hu, Qi Zhong, Haizhuan Yuan, Shirui Pan

ICML 2024 Two Heads Are Better than One: Boosting Graph Sparse Training via Semantic and Topological Awareness Guibin Zhang, Yanwei Yue, Kun Wang, Junfeng Fang, Yongduo Sui, Kai Wang, Yuxuan Liang, Dawei Cheng, Shirui Pan, Tianlong Chen

NeurIPS 2024 Uncovering the Redundancy in Graph Self-Supervised Learning Models Zhibiao Wang, Xiao Wang, Haoyue Deng, Nian Liu, Shirui Pan, Chunming Hu

IJCAI 2024 Unsupervised Deep Graph Structure and Embedding Learning Xiaobo Shen, Lei Shi, Xiuwen Gong, Shirui Pan

AAAI 2023 Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating Yixin Liu, Yizhen Zheng, Daokun Zhang, Vincent C. S. Lee, Shirui Pan

ICML 2023 Demystifying Uneven Vulnerability of Link Stealing Attacks Against Graph Neural Networks He Zhang, Bang Wu, Shuo Wang, Xiangwen Yang, Minhui Xue, Shirui Pan, Xingliang Yuan

UAI 2023 Fast Heterogeneous Federated Learning with Hybrid Client Selection Duanxiao Song, Guangyuan Shen, Dehong Gao, Libin Yang, Xukai Zhou, Shirui Pan, Wei Lou, Fang Zhou

ICML 2023 Finding the Missing-Half: Graph Complementary Learning for Homophily-Prone and Heterophily-Prone Graphs Yizhen Zheng, He Zhang, Vincent Lee, Yu Zheng, Xiao Wang, Shirui Pan

IJCAI 2023 G2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns Qin Zhang, Zelin Shi, Xiaolin Zhang, Xiaojun Chen, Philippe Fournier-Viger, Shirui Pan

NeurIPS 2023 GNNEvaluator: Evaluating GNN Performance on Unseen Graphs Without Labels Xin Zheng, Miao Zhang, Chunyang Chen, Soheila Molaei, Chuan Zhou, Shirui Pan

AAAI 2023 Neighbor Contrastive Learning on Learnable Graph Augmentation Xiao Shen, Dewang Sun, Shirui Pan, Xi Zhou, Laurence T. Yang

AAAI 2023 Simple and Efficient Heterogeneous Graph Neural Network Xiaocheng Yang, Mingyu Yan, Shirui Pan, Xiaochun Ye, Dongrui Fan

NeurIPS 2023 Structure-Free Graph Condensation: From Large-Scale Graphs to Condensed Graph-Free Data Xin Zheng, Miao Zhang, Chunyang Chen, Quoc Viet Hung Nguyen, Xingquan Zhu, Shirui Pan

ECML-PKDD 2023 Towards Few-Shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-Guided Neural Process Approach Zicheng Zhao, Linhao Luo, Shirui Pan, Quoc Viet Hung Nguyen, Chen Gong

NeurIPS 2023 Towards Self-Interpretable Graph-Level Anomaly Detection Yixin Liu, Kaize Ding, Qinghua Lu, Fuyi Li, Leo Yu Zhang, Shirui Pan

CVPR 2022 A Probabilistic Graphical Model Based on Neural-Symbolic Reasoning for Visual Relationship Detection Dongran Yu, Bo Yang, Qianhao Wei, Anchen Li, Shirui Pan

CVPR 2022 BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule Miao Zhang, Shirui Pan, Xiaojun Chang, Steven Su, Jilin Hu, Gholamreza Haffari, Bin Yang

IJCAI 2022 CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning Di Jin, Luzhi Wang, Yizhen Zheng, Xiang Li, Fei Jiang, Wei Lin, Shirui Pan

CVPR 2022 Cross-Modal Clinical Graph Transformer for Ophthalmic Report Generation Mingjie Li, Wenjia Cai, Karin Verspoor, Shirui Pan, Xiaodan Liang, Xiaojun Chang

AAAI 2022 Exploring Relational Semantics for Inductive Knowledge Graph Completion Changjian Wang, Xiaofei Zhou, Shirui Pan, Linhua Dong, Zeliang Song, Ying Sha

IJCAI 2022 Multi-Graph Fusion Networks for Urban Region Embedding Shangbin Wu, Xu Yan, Xiaoliang Fan, Shirui Pan, Shichao Zhu, Chuanpan Zheng, Ming Cheng, Cheng Wang

NeurIPS 2022 Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs Ming Jin, Yuan-Fang Li, Shirui Pan

NeurIPS 2022 Pseudo-Riemannian Graph Convolutional Networks Bo Xiong, Shichao Zhu, Nico Potyka, Shirui Pan, Chuan Zhou, Steffen Staab

NeurIPS 2022 Rethinking and Scaling up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination Yizhen Zheng, Shirui Pan, Vincent CS Lee, Yu Zheng, Philip S Yu

IJCAI 2022 Survey on Graph Neural Network Acceleration: An Algorithmic Perspective Xin Liu, Mingyu Yan, Lei Deng, Guoqi Li, Xiaochun Ye, Dongrui Fan, Shirui Pan, Yuan Xie

AAAI 2022 Thrifty Neural Architecture Search for Medical Image Segmentation (Student Abstract) Ruibin Chen, Miao Zhang, Xin Zheng, Shirui Pan

IJCAI 2022 Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang, Tung Kieu, Xuanyi Dong, Shirui Pan

NeurIPS 2021 Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels Sheng Wan, Yibing Zhan, Liu Liu, Baosheng Yu, Shirui Pan, Chen Gong

AAAI 2021 Contrastive and Generative Graph Convolutional Networks for Graph-Based Semi-Supervised Learning Sheng Wan, Shirui Pan, Jian Yang, Chen Gong

IJCAI 2021 Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning Ming Jin, Yizhen Zheng, Yuan-Fang Li, Chen Gong, Chuan Zhou, Shirui Pan

AAAI 2021 Towards Extracting Graph Neural Network Models via Prediction Queries (Student Abstract) Bang Wu, Shirui Pan, Xingliang Yuan

ICML 2021 iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients Miao Zhang, Steven W. Su, Shirui Pan, Xiaojun Chang, Ehsan M Abbasnejad, Reza Haffari

IJCAI 2020 A Relation-Specific Attention Network for Joint Entity and Relation Extraction Yue Yuan, Xiaofei Zhou, Shirui Pan, Qiannan Zhu, Zeliang Song, Li Guo

NeurIPS 2020 Differentiable Neural Architecture Search in Equivalent Space with Exploration Enhancement Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, Zongyuan Ge, Steven Su

AAAI 2020 GSSNN: Graph Smoothing Splines Neural Networks Shichao Zhu, Lewei Zhou, Shirui Pan, Chuan Zhou, Guiying Yan, Bin Wang

AAAI 2020 Going Deep: Graph Convolutional Ladder-Shape Networks Ruiqi Hu, Shirui Pan, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang

NeurIPS 2020 Graph Geometry Interaction Learning Shichao Zhu, Shirui Pan, Chuan Zhou, Jia Wu, Yanan Cao, Bin Wang

NeurIPS 2020 Graph Stochastic Neural Networks for Semi-Supervised Learning Haibo Wang, Chuan Zhou, Xin Chen, Jia Wu, Shirui Pan, Jilong Wang

IJCAI 2020 One-Shot Neural Architecture Search via Novelty Driven Sampling Miao Zhang, Huiqi Li, Shirui Pan, Taoping Liu, Steven W. Su

IJCAI 2020 Reasoning like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning Guojia Wan, Shirui Pan, Chen Gong, Chuan Zhou, Gholamreza Haffari

AAAI 2020 Reinforcement Learning Based Meta-Path Discovery in Large-Scale Heterogeneous Information Networks Guojia Wan, Bo Du, Shirui Pan, Gholamreza Haffari

IJCAI 2019 Attributed Graph Clustering: A Deep Attentional Embedding Approach Chun Wang, Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Chengqi Zhang

IJCAI 2019 Graph WaveNet for Deep Spatial-Temporal Graph Modeling Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang

AAAI 2019 Label Embedding with Partial Heterogeneous Contexts Yaxin Shi, Donna Xu, Yuangang Pan, Ivor W. Tsang, Shirui Pan

IJCAI 2019 Low-Bit Quantization for Attributed Network Representation Learning Hong Yang, Shirui Pan, Ling Chen, Chuan Zhou, Peng Zhang

IJCAI 2018 Active Discriminative Network Representation Learning Li Gao, Hong Yang, Chuan Zhou, Jia Wu, Shirui Pan, Yue Hu

IJCAI 2018 Adversarially Regularized Graph Autoencoder for Graph Embedding Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang

AAAI 2018 DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Shirui Pan, Chengqi Zhang

IJCAI 2018 Discrete Network Embedding Xiaobo Shen, Shirui Pan, Weiwei Liu, Yew-Soon Ong, Quan-Sen Sun

AAAI 2016 Direct Discriminative Bag Mapping for Multi-Instance Learning Jia Wu, Shirui Pan, Peng Zhang, Xingquan Zhu

IJCAI 2016 Iterative Views Agreement: An Iterative Low-Rank Based Structured Optimization Method to Multi-View Spectral Clustering Yang Wang, Wenjie Zhang, Lin Wu, Xuemin Lin, Meng Fang, Shirui Pan

IJCAI 2016 Tri-Party Deep Network Representation Shirui Pan, Jia Wu, Xingquan Zhu, Chengqi Zhang, Yang Wang

IJCAI 2015 Multi-Graph-View Learning for Complicated Object Classification Jia Wu, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang

IJCAI 2013 Graph Classification with Imbalanced Class Distributions and Noise Shirui Pan, Xingquan Zhu