| 2026 | AAAI | GraphRAG-Induced Dual Knowledge Structure Graphs for Personalized Learning Path Recommendation. | Xinghe Cheng, Zihan Zhang, Jiapu Wang, Liangda Fang, Chaobo He, Quanlong Guan, Shirui Pan, Weiqi Luo |
| 2026 | AAAI | Assemble Your Crew: Automatic Multi-agent Communication Topology Design via Autoregressive Graph Generation. | Shiyuan Li, Yixin Liu, Qingsong Wen, Chengqi Zhang, Shirui Pan |
| 2026 | AAAI | Correcting False Alarms from Unseen: Adapting Graph Anomaly Detectors at Test Time. | Junjun Pan, Yixin Liu, Chuan Zhou, Fei Xiong, Alan Wee-Chung Liew, Shirui Pan |
| 2026 | ACL | LexGenius: An Expert-Level Benchmark for Large Language Models in Legal General Intelligence. | Wenjin Liu, Haoran Luo, Xin Feng, Xiang Ji, Lijuan Zhou, Rui Mao, Jiapu Wang, Shirui Pan, Erik Cambria |
| 2026 | ACL | SQL-ASTRA: Alleviating Sparse Feedback in Agentic SQL via Column-Set Matching and Trajectory Aggregation. | Long Li, Zhijian Zhou, Jiangxuan Long, Peiyang Liu, Weidi Xu, Zhe Wang, Shirui Pan, Chao Qu |
| 2026 | ACL | BlindGuard: Safeguarding LLM-based Multi-Agent Systems under Unknown Attacks. | Rui Miao, Yixin Liu, Yili Wang, Xu Shen, Yue Tan, Yiwei Dai, Shirui Pan, Xin Wang |
| 2026 | ACL | Explainable and Fine-Grained Safeguarding of LLM Multi-Agent Systems via Bi-Level Graph Anomaly Detection. | Junjun Pan, Yixin Liu, Rui Miao, Kaize Ding, Yu Zheng, Quoc Viet Hung Nguyen, Alan Wee-Chung Liew, Shirui Pan |
| 2026 | ACL | CIA: Inferring the Communication Topology from LLM-based Multi-Agent Systems. | Yongxuan Wu, Xixun Lin, He Zhang, Nan Sun, Kun Wang, Chuan Zhou, Shirui Pan, Yanan Cao |
| 2026 | EACL | Beyond Memorization: A Rigorous Evaluation Framework for Medical Knowledge Editing. | Shigeng Chen, Linhao Luo, Zhangchi Qiu, Yanan Cao, Carl Yang, Shirui Pan |
| 2026 | KDD | EviCare: Enhancing Diagnosis Prediction with Deep Model-Guided Evidence for In-Context Reasoning. | Hengyu Zhang, Xuyun Zhang, Pengxiang Zhan, Linhao Luo, Hang Lv, Yanchao Tan, Shirui Pan, Carl Yang |
| 2026 | NDSS | Character-Level Perturbations Disrupt LLM Watermarks. | Zhaoxi Zhang, Xiaomei Zhang, Yanjun Zhang, He Zhang, Shirui Pan, Bo Liu, Asif Gill, Leo Yu Zhang |
| 2026 | PAKDD | IAMRec: Intent-Adaptive Multimodal Recommendation with Collaborative-Modality Disentanglement. | Jiayi Chen, Xin Zheng, Yixin Liu, Yi Li, Yongqiang Guo, Shirui Pan |
| 2026 | WWW | negMIX: Negative Mixup for OOD Generalization in Open-Set Node Classification. | Junwei Gong, Xiao Shen, Zhihao Chen, Shirui Pan, Xiao Wang, Xi Zhou |
| 2026 | WWW | OFA-MAS: One-for-All Multi-Agent System Topology Design based on Mixture-of-Experts Graph Generative Models. | Shiyuan Li, Yixin Liu, Yu Zheng, Mei Li, Quoc Viet Hung Nguyen, Shirui Pan |
| 2026 | WWW | Meta-Learning Driven Few-Shot Knowledge Transfer with Dual-Stage Adaptive Data Replay for Cross-Domain Recommendation. | Yilei Qiu, Fei Xiong, Jun Hu, Shirui Pan, Liang Wang |
| 2026 | WWW | Multi-Source Unsupervised Graph Domain Adaptation via Concise Propagation-Transformation Pipeline. | Jiayi Wang, Yi Li, Xin Zheng, Junyang Chen, Yanqing Guo, Alan Wee-Chung Liew, Shirui Pan |
| 2026 | WWW | Graph-to-Tree: Topological Decomposition for Self-Supervised Learning. | Yejiang Wang, Yuhai Zhao, Fangting Li, Jiapu Wang, Meixia Wang, Ling Li, Miaomiao Huang, Zhengkui Wang, Shirui Pan |
| 2026 | SP | ARES: Scalable and Practical Gradient Inversion Attack in Federated Learning Through Activation Recovery. | Zirui Gong, Leo Yu Zhang, Yanjun Zhang, Viet Vo, Tianqing Zhu, Shirui Pan, Cong Wang |
| 2025 | AAAI | 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 |
| 2025 | AAAI | 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 |
| 2025 | AAAI | 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 |
| 2025 | AAAI | Adversarial Contrastive Graph Masked AutoEncoder Against Graph Structure and Feature Dual Attacks. | Weixuan Shen, Xiaobo Shen, Shirui Pan |
| 2025 | AAAI | Robust Graph Based Social Recommendation Through Contrastive Multi-View Learning. | Fei Xiong, Tao Zhang, Shirui Pan, Guixun Luo, Liang Wang |
| 2025 | AAAI | 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 |
| 2025 | ACISP | SoK: A Deep Dive Into Anti-money Laundering Techniques for Blockchain Cryptocurrencies. | Qishuang Fu, Joseph K. Liu, Shirui Pan, Tsz Hon Yuen |
| 2025 | CIKM | OASIS: Harnessing Diffusion Adversarial Network for Ocean Salinity Imputation using Sparse Drifter Trajectories. | Bo Li, Yingqi Feng, Ming Jin, Xin Zheng, Yufei Tang, Laurent M. Chrubin, Can Wang, Alan Wee-Chung Liew, Qinghua Lu, Jingwei Yao, Hong Zhang, Shirui Pan, Xingquan Zhu |
| 2025 | CIKM | FreeGAD: A Training-Free yet Effective Approach for Graph Anomaly Detection. | Yunfeng Zhao, Yixin Liu, Shiyuan Li, Qingfeng Chen, Yu Zheng, Shirui Pan |
| 2025 | DICTA | FDR-CultivarNet: Feature Decomposition and Reconstruction Network for Few-Shot Cultivar Leaf Classification. | Md Ismail Hossen, Mohammad Aminul Islam, Mohammad Awrangjeb, Shirui Pan |
| 2025 | EMNLP | Enhancing Large Language Model for Knowledge Graph Completion via Structure-Aware Alignment-Tuning. | Yu Liu, Yanan Cao, Xixun Lin, Yanmin Shang, Shi Wang, Shirui Pan |
| 2025 | EMNLP | Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems. | Xu Shen, Yixin Liu, Yiwei Dai, Yili Wang, Rui Miao, Yue Tan, Shirui Pan, Xin Wang |
| 2025 | ICDCS | Mosaic: Client-driven Account Allocation Framework in Sharded Blockchains. | Yuanzhe Zhang, Shirui Pan, Jiangshan Yu |
| 2025 | ICDE | Personalized Multi-Interest Modeling for Cross-Domain Recommendation to Cold-Start Users. | Xiaodong Li, Jiawei Sheng, Jiangxia Cao, Xinghua Zhang, Wenyuan Zhang, Yong Sun, Shirui Pan, Zhihong Tian, Tingwen Liu |
| 2025 | ICDM | TED++: Submanifold-Aware Backdoor Detection via Layerwise Tubular-Neighbourhood Screening. | Nam Le, Leo Yu Zhang, Kewen Liao, Shirui Pan, Wei Luo |
| 2025 | ICDM | Test-Time GNN Model Evaluation on Dynamic Graphs. | Bo Li, Xin Zheng, Ming Jin, Can Wang, Shirui Pan |
| 2025 | ICDM | Reasoning Over User Preferences: Knowledge Graph-Augmented LLMs for Explainable Conversational Recommendations. | Zhangchi Qiu, Linhao Luo, Shirui Pan, Alan Wee-Chung Liew |
| 2025 | ICDM | Test-Time Graph Rebirth for GNN Generalization Under Distribution Shifts. | Xin Zheng, Bo Li, Yu Zheng, Qin Zhang, Haishuai Wang, Yuxuan Liang, Alan Wee-Chung Liew, Shirui Pan |
| 2025 | ICLR | 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 |
| 2025 | ICLR | Towards Neural Scaling Laws for Time Series Foundation Models. | Qingren Yao, Chao-Han Huck Yang, Renhe Jiang, Yuxuan Liang, Ming Jin, Shirui Pan |
| 2025 | ICLR | Graph Sparsification via Mixture of Graphs. | Guibin Zhang, Xiangguo Sun, Yanwei Yue, Chonghe Jiang, Kun Wang, Tianlong Chen, Shirui Pan |
| 2025 | ICML | Test-Time Graph Neural Dataset Search With Generative Projection. | Xin Zheng, Wei Huang, Chuan Zhou, Ming Li, Shirui Pan |
| 2025 | ICML | BiMark: Unbiased Multilayer Watermarking for Large Language Models. | Xiaoyan Feng, He Zhang, Yanjun Zhang, Leo Yu Zhang, Shirui Pan |
| 2025 | ICML | 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 |
| 2025 | ICML | 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 |
| 2025 | ICML | Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification. | Langzhang Liang, Fanchen Bu, Zixing Song, Zenglin Xu, Shirui Pan, Kijung Shin |
| 2025 | ICML | 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 |
| 2025 | ICML | 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 |
| 2025 | ICML | 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 |
| 2025 | ICML | Conformal Anomaly Detection in Event Sequences. | Shuai Zhang, Chuan Zhou, Yang Liu, Peng Zhang, Xixun Lin, Shirui Pan |
| 2025 | IJCAI | 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 |
| 2025 | IJCAI | M^2LLM: Multi-view Molecular Representation Learning with Large Language Models. | Jiaxin Ju, Yizhen Zheng, Huan Yee Koh, Can Wang, Shirui Pan |
| 2025 | IJCAI | Sharpness-aware Zeroth-order Optimization for Graph Transformers. | Yang Liu, Chuan Zhou, Yuhan Lin, Shuai Zhang, Yang Gao, Zhao Li, Shirui Pan |
| 2025 | IJCAI | 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 |
| 2025 | KDD | A Survey on Unifying Large Language Models and Knowledge Graphs for Biomedicine and Healthcare. | Ran Xu, Patrick Jiang, Linhao Luo, Cao Xiao, Adam Cross, Shirui Pan, Jimeng Sun, Carl Yang |
| 2025 | KDD | Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey. | Yuxuan Liang, Haomin Wen, Yutong Xia, Ming Jin, Bin Yang, Flora Salim, Qingsong Wen, Shirui Pan, Gao Cong |
| 2025 | PAKDD | SpecG: A Spectral-Based Framework for Effective Graph Pretraining and Knowledge Transfer. | Zizhe Jin, Yizhen Zheng, Linhao Luo, Yixin Liu, Xin Zheng, Xuefei Yin, Vincent Lee, Shirui Pan |
| 2025 | PAKDD | Uni-MRL: Unified MultiModal Molecular Representation Learning with Large Language Models and Graph Neural Networks. | Jiaxin Ju, Yizhen Zheng, Huan Yee Koh, Shirui Pan |
| 2025 | PAKDD | ChatRule: Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning. | Linhao Luo, Jiaxin Ju, Bo Xiong, Yuan-Fang Li, Gholamreza Haffari, Shirui Pan |
| 2025 | PAKDD | Graph Retrieval-Augmented LLM for Conversational Recommendation Systems. | Zhangchi Qiu, Linhao Luo, Zicheng Zhao, Shirui Pan, Alan Wee-Chung Liew |
| 2025 | PAKDD | Efficient and Diverse De Novo Protein Backbone Design with SE(3)-Equivariant Diffusion. | Ruipeng Zhou, Ming Yang, Yi Li, Xin Zheng, Alan Wee-Chung Liew, Shirui Pan, Yanqing Guo |
| 2025 | WWW | The Workshop of Artificial Intelligence for Web-Centric Time Series Analysis (AI4TS): Theory, Algorithms, and Applications. | Ming Jin, Mahsa Salehi, Yuxuan Liang, Dongjin Song, Flora Salim, Min Wu, Shirui Pan, Qingsong Wen |
| 2025 | WWW | Unleash LLMs Potential for Sequential Recommendation by Coordinating Dual Dynamic Index Mechanism. | Jun Yin, Zhengxin Zeng, Mingzheng Li, Hao Yan, Chaozhuo Li, Weihao Han, Jianjin Zhang, Ruochen Liu, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Shirui Pan, Senzhang Wang |
| 2025 | WWW | Few-Shot Learning on Graphs: From Meta-Learning to LLM-empowered Pre-Training and Beyond. | Yuan Fang, Yuxia Wu, Xingtong Yu, Shirui Pan |
| 2025 | WWW | Integrating Large Language Models and Knowledge Graphs for Next-level AGI. | Linhao Luo, Carl Yang, Evgeny Kharlamov, Shirui Pan |
| 2025 | WWW | Effective Instruction Parsing Plugin for Complex Logical Query Answering on Knowledge Graphs. | Xingrui Zhuo, Jiapu Wang, Gongqing Wu, Shirui Pan, Xindong Wu |
| 2025 | SP | Not All Edges are Equally Robust: Evaluating the Robustness of Ranking-Based Federated Learning. | Zirui Gong, Yanjun Zhang, Leo Yu Zhang, Zhaoxi Zhang, Yong Xiang, Shirui Pan |
| 2024 | AAAI | 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 |
| 2024 | AAAI | Augmented Commonsense Knowledge for Remote Object Grounding. | Bahram Mohammadi, Yicong Hong, Yuankai Qi, Qi Wu, Shirui Pan, Javen Qinfeng Shi |
| 2024 | AAAI | 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 |
| 2024 | AAAI | NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning. | Bo Xiong, Mojtaba Nayyeri, Linhao Luo, Zihao Wang, Shirui Pan, Steffen Staab |
| 2024 | AAAI | 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 |
| 2024 | ACSAC | Stealing Watermarks of Large Language Models via Mixed Integer Programming. | Zhaoxi Zhang, Xiaomei Zhang, Yanjun Zhang, Leo Yu Zhang, Chao Chen, Shengshan Hu, Asif Gill, Shirui Pan |
| 2024 | CIKM | Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation. | Shiyuan Li, Yixin Liu, Qingfeng Chen, Geoffrey I. Webb, Shirui Pan |
| 2024 | ECAI | Differentiating Choices via Commonality for Multiple-Choice Question Answering. | Wenqing Deng, Zhe Wang, Kewen Wang, Shirui Pan, Xiaowang Zhang, Zhiyong Feng |
| 2024 | ICDE | Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks. | He Zhang, Xingliang Yuan, Shirui Pan |
| 2024 | ICLR | 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 |
| 2024 | ICLR | Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning. | Linhao Luo, Yuan-Fang Li, Gholamreza Haffari, Shirui Pan |
| 2024 | ICLR | Online GNN Evaluation Under Test-time Graph Distribution Shifts. | Xin Zheng, Dongjin Song, Qingsong Wen, Bo Du, Shirui Pan |
| 2024 | ICML | 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 |
| 2024 | ICML | 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 |
| 2024 | ICML | 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 |
| 2024 | ICML | 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 |
| 2024 | IJCAI | Unsupervised Deep Graph Structure and Embedding Learning. | Xiaobo Shen, Lei Shi, Xiuwen Gong, Shirui Pan |
| 2024 | IJCAI | Gradformer: Graph Transformer with Exponential Decay. | Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Shirui Pan, Wenbin Hu |
| 2024 | IJCAI | CONC: Complex-noise-resistant Open-set Node Classification with Adaptive Noise Detection. | Qin Zhang, Jiexin Lu, Xiaowei Li, Huisi Wu, Shirui Pan, Junyang Chen |
| 2024 | IJCAI | FedPFT: Federated Proxy Fine-Tuning of Foundation Models. | Zhaopeng Peng, Xiaoliang Fan, Yufan Chen, Zheng Wang, Shirui Pan, Chenglu Wen, Ruisheng Zhang, Cheng Wang |
| 2024 | IJCAI | 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 |
| 2024 | KDD | Divide and Denoise: Empowering Simple Models for Robust Semi-Supervised Node Classification against Label Noise. | Kaize Ding, Xiaoxiao Ma, Yixin Liu, Shirui Pan |
| 2024 | KDD | Foundation Models for Time Series Analysis: A Tutorial and Survey. | Yuxuan Liang, Haomin Wen, Yuqi Nie, Yushan Jiang, Ming Jin, Dongjin Song, Shirui Pan, Qingsong Wen |
| 2024 | KDD | Optimizing OOD Detection in Molecular Graphs: A Novel Approach with Diffusion Models. | Xu Shen, Yili Wang, Kaixiong Zhou, Shirui Pan, Xin Wang |
| 2024 | KDD | The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs. | Kun Wang, Guibin Zhang, Xinnan Zhang, Junfeng Fang, Xun Wu, Guohao Li, Shirui Pan, Wei Huang, Yuxuan Liang |
| 2024 | NDSS | GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks. | Bang Wu, He Zhang, Xiangwen Yang, Shuo Wang, Minhui Xue, Shirui Pan, Xingliang Yuan |
| 2024 | WWW | Cost-effective Data Labelling for Graph Neural Networks. | Shixun Huang, Ge Lee, Zhifeng Bao, Shirui Pan |
| 2024 | WWW | IME: Integrating Multi-curvature Shared and Specific Embedding for Temporal Knowledge Graph Completion. | Jiapu Wang, Zheng Cui, Boyue Wang, Shirui Pan, Junbin Gao, Baocai Yin, Wen Gao |
| 2024 | SP | Securing Graph Neural Networks in MLaaS: A Comprehensive Realization of Query-based Integrity Verification. | Bang Wu, Xingliang Yuan, Shuo Wang, Qi Li, Minhui Xue, Shirui Pan |
| 2024 | WSDM | Maximizing Malicious Influence in Node Injection Attack. | Xiao Zhang, Peng Bao, Shirui Pan |
| 2023 | AAAI | Neighbor Contrastive Learning on Learnable Graph Augmentation. | Xiao Shen, Dewang Sun, Shirui Pan, Xi Zhou, Laurence T. Yang |
| 2023 | AAAI | Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating. | Yixin Liu, Yizhen Zheng, Daokun Zhang, Vincent C. S. Lee, Shirui Pan |
| 2023 | AAAI | Simple and Efficient Heterogeneous Graph Neural Network. | Xiaocheng Yang, Mingyu Yan, Shirui Pan, Xiaochun Ye, Dongrui Fan |
| 2023 | ACL | Shrinking Embeddings for Hyper-Relational Knowledge Graphs. | Bo Xiong, Mojtaba Nayyeri, Shirui Pan, Steffen Staab |
| 2023 | ADMA | How Does ChatGPT Affect Fake News Detection Systems? | Bo Li, Jiaxin Ju, Can Wang, Shirui Pan |
| 2023 | CoNLL | A Minimal Approach for Natural Language Action Space in Text-based Games. | Dongwon Ryu, Meng Fang, Gholamreza Haffari, Shirui Pan, Ehsan Shareghi |
| 2023 | ICDE | MAMDR: A Model Agnostic Learning Framework for Multi-Domain Recommendation. | Linhao Luo, Yumeng Li, Buyu Gao, Shuai Tang, Sinan Wang, Jiancheng Li, Tanchao Zhu, Jiancai Liu, Zhao Li, Shirui Pan |
| 2023 | ICDE | TxAllo: Dynamic Transaction Allocation in Sharded Blockchain Systems. | Yuanzhe Zhang, Shirui Pan, Jiangshan Yu |
| 2023 | ICDM | PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection. | Junjun Pan, Yixin Liu, Yizhen Zheng, Shirui Pan |
| 2023 | ICDM | Robust Network Alignment with the Combination of Structure and Attribute Embeddings. | Jingkai Peng, Fei Xiong, Shirui Pan, Liang Wang, Xi Xiong |
| 2023 | ICDM | Compatible Transformer for Irregularly Sampled Multivariate Time Series. | Yuxi Wei, Juntong Peng, Tong He, Chenxin Xu, Jian Zhang, Shirui Pan, Siheng Chen |
| 2023 | ICML | 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 |
| 2023 | ICML | Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs. | Yizhen Zheng, He Zhang, Vincent Cheng-Siong Lee, Yu Zheng, Xiao Wang, Shirui Pan |
| 2023 | IJCAI | G2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns. | Qin Zhang, Zelin Shi, Xiaolin Zhang, Xiaojun Chen, Philippe Fournier-Viger, Shirui Pan |
| 2023 | KDD | Learning Strong Graph Neural Networks with Weak Information. | Yixin Liu, Kaize Ding, Jianling Wang, Vincent C. S. Lee, Huan Liu, Shirui Pan |
| 2023 | WWW | Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation. | Di Jin, Luzhi Wang, Yizhen Zheng, Guojie Song, Fei Jiang, Xiang Li, Wei Lin, Shirui Pan |
| 2023 | WWW | CurvDrop: A Ricci Curvature Based Approach to Prevent Graph Neural Networks from Over-Smoothing and Over-Squashing. | Yang Liu, Chuan Zhou, Shirui Pan, Jia Wu, Zhao Li, Hongyang Chen, Peng Zhang |
| 2023 | WWW | Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs. | Xin Zheng, Miao Zhang, Chunyang Chen, Qin Zhang, Chuan Zhou, Shirui Pan |
| 2023 | WWW | Robust Graph Representation Learning for Local Corruption Recovery. | Bingxin Zhou, Yuanhong Jiang, Yuguang Wang, Jingwei Liang, Junbin Gao, Shirui Pan, Xiaoqun Zhang |
| 2023 | SIGIR | Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion. | Linhao Luo, Yuan-Fang Li, Gholamreza Haffari, Shirui Pan |
| 2023 | UAI | Fast Heterogeneous Federated Learning with Hybrid Client Selection. | Duanxiao Song, Guangyuan Shen, Dehong Gao, Libin Yang, Xukai Zhou, Shirui Pan, Wei Lou, Fang Zhou |
| 2023 | WSDM | The 3rd International Workshop on Machine Learning on Graphs (MLoG). | Tyler Derr, Yao Ma, Benedek Rozemberczki, Neil Shah, Shirui Pan |
| 2023 | WSDM | GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection. | Yixin Liu, Kaize Ding, Huan Liu, Shirui Pan |
| 2023 | WSDM | Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs. | Linhao Luo, Gholamreza Haffari, Shirui Pan |
| 2022 | AAAI | Thrifty Neural Architecture Search for Medical Image Segmentation (Student Abstract). | Ruibin Chen, Miao Zhang, Xin Zheng, Shirui Pan |
| 2022 | AAAI | Exploring Relational Semantics for Inductive Knowledge Graph Completion. | Changjian Wang, Xiaofei Zhou, Shirui Pan, Linhua Dong, Zeliang Song, Ying Sha |
| 2022 | ACL | Fire Burns, Sword Cuts: Commonsense Inductive Bias for Exploration in Text-based Games. | Dongwon Ryu, Ehsan Shareghi, Meng Fang, Yunqiu Xu, Shirui Pan, Gholamreza Haffari |
| 2022 | AsiaCCS | Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realisation. | Bang Wu, Xiangwen Yang, Shirui Pan, Xingliang Yuan |
| 2022 | CVPR | Cross-modal Clinical Graph Transformer for Ophthalmic Report Generation. | Mingjie Li, Wenjia Cai, Karin Verspoor, Shirui Pan, Xiaodan Liang, Xiaojun Chang |
| 2022 | CVPR | A Probabilistic Graphical Model Based on Neural-symbolic Reasoning for Visual Relationship Detection. | Dongran Yu, Bo Yang, Qianhao Wei, Anchen Li, Shirui Pan |
| 2022 | CVPR | BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule. | Miao Zhang, Shirui Pan, Xiaojun Chang, Steven Su, Jilin Hu, Gholamreza Haffari, Bin Yang |
| 2022 | EMNLP | How Far are We from Robust Long Abstractive Summarization? | Huan Yee Koh, Jiaxin Ju, He Zhang, Ming Liu, Shirui Pan |
| 2022 | FUSION | Paraphrasing Techniques for Maritime QA system. | Fatemeh Shiri, Terry Yue Zhuo, Zhuang Li, Shirui Pan, Weiqing Wang, Reza Haffari, Yuan-Fang Li, Van Nguyen |
| 2022 | ICDE | Towards Spatio- Temporal Aware Traffic Time Series Forecasting. | Razvan-Gabriel Cirstea, Bin Yang, Chenjuan Guo, Tung Kieu, Shirui Pan |
| 2022 | ICDM | A Dynamic Variational Framework for Open-World Node Classification in Structured Sequences. | Qin Zhang, Qincai Li, Xiaojun Chen, Peng Zhang, Shirui Pan, Philippe Fournier-Viger, Joshua Zhexue Huang |
| 2022 | ICDM | Multi-Relational Graph Neural Architecture Search with Fine-grained Message Passing. | Xin Zheng, Miao Zhang, Chunyang Chen, Chaojie Li, Chuan Zhou, Shirui Pan |
| 2022 | ICDM | Unifying Graph Contrastive Learning with Flexible Contextual Scopes. | Yizhen Zheng, Yu Zheng, Xiaofei Zhou, Chen Gong, Vincent C. S. Lee, Shirui Pan |
| 2022 | IJCAI | 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 |
| 2022 | IJCAI | 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 |
| 2022 | IJCAI | 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 |
| 2022 | IJCAI | Multi-Graph Fusion Networks for Urban Region Embedding. | Shangbin Wu, Xu Yan, Xiaoliang Fan, Shirui Pan, Shichao Zhu, Chuanpan Zheng, Ming Cheng, Cheng Wang |
| 2022 | IJCNN | Improving Factual Consistency of Dialogue Summarization with Fact-Augmentation Mechanism. | Wenya Li, Xiaofei Zhou, Xu Bai, Shirui Pan |
| 2022 | IJCNN | Joint Graph-Sequence Learning for Molecular Property Prediction. | Rom Uddamvathanak, Xin Zheng, Shirui Pan |
| 2022 | KDD | Ultrahyperbolic Knowledge Graph Embeddings. | Bo Xiong, Shichao Zhu, Mojtaba Nayyeri, Chengjin Xu, Shirui Pan, Chuan Zhou, Steffen Staab |
| 2022 | WWW | Towards Unsupervised Deep Graph Structure Learning. | Yixin Liu, Yu Zheng, Daokun Zhang, Hongxu Chen, Hao Peng, Shirui Pan |
| 2022 | WWW | Dual Space Graph Contrastive Learning. | Haoran Yang, Hongxu Chen, Shirui Pan, Lin Li, Philip S. Yu, Guandong Xu |
| 2022 | WSDM | Predicting Human Mobility via Graph Convolutional Dual-attentive Networks. | Weizhen Dang, Haibo Wang, Shirui Pan, Pei Zhang, Chuan Zhou, Xin Chen, Jilong Wang |
| 2022 | SDM | Fine-grained Attributed Graph Clustering. | Zhao Kang, Zhanyu Liu, Shirui Pan, Ling Tian |
| 2022 | SDM | Cyclic Transfer Learning for Recommender Systems with Heterogeneous Feedbacks. | Xuelian Ni, Fei Xiong, Yutian Hu, Shirui Pan, Hongshu Chen, Liang Wang |
| 2021 | AAAI | Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning. | Sheng Wan, Shirui Pan, Jian Yang, Chen Gong |
| 2021 | AAAI | Towards Extracting Graph Neural Network Models via Prediction Queries (Student Abstract). | Bang Wu, Shirui Pan, Xingliang Yuan |
| 2021 | ACL | Medical Code Assignment with Gated Convolution and Note-Code Interaction. | Shaoxiong Ji, Shirui Pan, Pekka Marttinen |
| 2021 | CIKM | ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning. | Ming Jin, Yixin Liu, Yu Zheng, Lianhua Chi, Yuan-Fang Li, Shirui Pan |
| 2021 | CIKM | Projective Ranking: A Transferable Evasion Attack Method on Graph Neural Networks. | He Zhang, Bang Wu, Xiangwen Yang, Chuan Zhou, Shuo Wang, Xingliang Yuan, Shirui Pan |
| 2021 | EMNLP | Leveraging Information Bottleneck for Scientific Document Summarization. | Jiaxin Ju, Ming Liu, Huan Yee Koh, Yuan Jin, Lan Du, Shirui Pan |
| 2021 | FUSION | Toward the Automated Construction of Probabilistic Knowledge Graphs for the Maritime Domain. | Fatemeh Shiri, Teresa Wang, Shirui Pan, Xiaojun Chang, Yuan-Fang Li, Reza Haffari, Van Nguyen, Shuang Yu |
| 2021 | ICDM | Hypergraph Convolutional Network for Group Recommendation. | Renqi Jia, Xiaofei Zhou, Linhua Dong, Shirui Pan |
| 2021 | ICDM | Adapting Membership Inference Attacks to GNN for Graph Classification: Approaches and Implications. | Bang Wu, Xiangwen Yang, Shirui Pan, Xingliang Yuan |
| 2021 | ICML | iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients. | Miao Zhang, Steven W. Su, Shirui Pan, Xiaojun Chang, M. Ehsan Abbasnejad, Reza Haffari |
| 2021 | IJCAI | Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning. | Ming Jin, Yizhen Zheng, Yuan-Fang Li, Chen Gong, Chuan Zhou, Shirui Pan |
| 2021 | IJCNN | A Self-Supervised Learning Framework for Sequential Recommendation. | Renqi Jia, Xu Bai, Xiaofei Zhou, Shirui Pan |
| 2021 | PAKDD | Manifold Approximation and Projection by Maximizing Graph Information. | Bahareh Fatemi, Soheila Molaei, Hadi Zare, Shirui Pan |
| 2021 | PAKDD | Heterogeneous Graph Attention Network for Small and Medium-Sized Enterprises Bankruptcy Prediction. | Yizhen Zheng, Vincent C. S. Lee, Zonghan Wu, Shirui Pan |
| 2021 | WWW | Task-adaptive Neural Process for User Cold-Start Recommendation. | Xixun Lin, Jia Wu, Chuan Zhou, Shirui Pan, Yanan Cao, Bin Wang |
| 2020 | AAAI | Going Deep: Graph Convolutional Ladder-Shape Networks. | Ruiqi Hu, Shirui Pan, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang |
| 2020 | AAAI | Reinforcement Learning Based Meta-Path Discovery in Large-Scale Heterogeneous Information Networks. | Guojia Wan, Bo Du, Shirui Pan, Gholamreza Haffari |
| 2020 | AAAI | GSSNN: Graph Smoothing Splines Neural Networks. | Shichao Zhu, Lewei Zhou, Shirui Pan, Chuan Zhou, Guiying Yan, Bin Wang |
| 2020 | CVPR | Overcoming Multi-Model Forgetting in One-Shot NAS With Diversity Maximization. | Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, Steven W. Su |
| 2020 | EMNLP | Monash-Summ@LongSumm 20 SciSummPip: An Unsupervised Scientific Paper Summarization Pipeline. | Jiaxin Ju, Ming Liu, Longxiang Gao, Shirui Pan |
| 2020 | ICDM | Cross-Graph: Robust and Unsupervised Embedding for Attributed Graphs with Corrupted Structure. | Chun Wang, Bo Han, Shirui Pan, Jing Jiang, Gang Niu, Guodong Long |
| 2020 | ICDM | OpenWGL: Open-World Graph Learning. | Man Wu, Shirui Pan, Xingquan Zhu |
| 2020 | IJCAI | Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning. | Guojia Wan, Shirui Pan, Chen Gong, Chuan Zhou, Gholamreza Haffari |
| 2020 | IJCAI | A Relation-Specific Attention Network for Joint Entity and Relation Extraction. | Yue Yuan, Xiaofei Zhou, Shirui Pan, Qiannan Zhu, Zeliang Song, Li Guo |
| 2020 | IJCAI | One-Shot Neural Architecture Search via Novelty Driven Sampling. | Miao Zhang, Huiqi Li, Shirui Pan, Taoping Liu, Steven W. Su |
| 2020 | KDD | Grounding Visual Concepts for Zero-Shot Event Detection and Event Captioning. | Zhihui Li, Xiaojun Chang, Lina Yao, Shirui Pan, Zongyuan Ge, Huaxiang Zhang |
| 2020 | KDD | Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks. | Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Xiaojun Chang, Chengqi Zhang |
| 2020 | WWW | Unsupervised Domain Adaptive Graph Convolutional Networks. | Man Wu, Shirui Pan, Chuan Zhou, Xiaojun Chang, Xingquan Zhu |
| 2019 | AAAI | Label Embedding with Partial Heterogeneous Contexts. | Yaxin Shi, Donna Xu, Yuangang Pan, Ivor W. Tsang, Shirui Pan |
| 2019 | CIKM | An Explainable Deep Fusion Network for Affect Recognition Using Physiological Signals. | Jionghao Lin, Shirui Pan, Cheng Siong Lee, Sharon L. Oviatt |
| 2019 | CIKM | Long-short Distance Aggregation Networks for Positive Unlabeled Graph Learning. | Man Wu, Shirui Pan, Lan Du, Ivor W. Tsang, Xingquan Zhu, Bo Du |
| 2019 | DASFAA | Detecting Suicidal Ideation with Data Protection in Online Communities. | Shaoxiong Ji, Guodong Long, Shirui Pan, Tianqing Zhu, Jing Jiang, Sen Wang |
| 2019 | ICDM | Domain-Adversarial Graph Neural Networks for Text Classification. | Man Wu, Shirui Pan, Xingquan Zhu, Chuan Zhou, Lei Pan |
| 2019 | ICDM | Relation Structure-Aware Heterogeneous Graph Neural Network. | Shichao Zhu, Chuan Zhou, Shirui Pan, Xingquan Zhu, Bin Wang |
| 2019 | IJCAI | Attributed Graph Clustering: A Deep Attentional Embedding Approach. | Chun Wang, Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Chengqi Zhang |
| 2019 | IJCAI | Graph WaveNet for Deep Spatial-Temporal Graph Modeling. | Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang |
| 2019 | IJCAI | Low-Bit Quantization for Attributed Network Representation Learning. | Hong Yang, Shirui Pan, Ling Chen, Chuan Zhou, Peng Zhang |
| 2019 | IJCNN | DAGCN: Dual Attention Graph Convolutional Networks. | Fengwen Chen, Shirui Pan, Jing Jiang, Huan Huo, Guodong Long |
| 2019 | IJCNN | Learning Private Neural Language Modeling with Attentive Aggregation. | Shaoxiong Ji, Shirui Pan, Guodong Long, Xue Li, Jing Jiang, Zi Huang |
| 2019 | IJCNN | Attentive Dual Embedding for Understanding Medical Concepts in Electronic Health Records. | Xueping Peng, Guodong Long, Shirui Pan, Jing Jiang, Zhendong Niu |
| 2019 | IJCNN | Adversarial Action Data Augmentation for Similar Gesture Action Recognition. | Di Wu, Junjun Chen, Nabin Sharma, Shirui Pan, Guodong Long, Michael Blumenstein |
| 2018 | AAAI | DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding. | Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Shirui Pan, Chengqi Zhang |
| 2018 | ICDM | Binarized attributed network embedding. | Hong Yang, Shirui Pan, Peng Zhang, Ling Chen, Defu Lian, Chengqi Zhang |
| 2018 | IJCAI | Discrete Network Embedding. | Xiaobo Shen, Shirui Pan, Weiwei Liu, Yew-Soon Ong, Quan-Sen Sun |
| 2018 | IJCAI | Active Discriminative Network Representation Learning. | Li Gao, Hong Yang, Chuan Zhou, Jia Wu, Shirui Pan, Yue Hu |
| 2018 | IJCAI | Adversarially Regularized Graph Autoencoder for Graph Embedding. | Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang |
| 2018 | IJCNN | Cross-Domain Deep Learning Approach For Multiple Financial Market Prediction. | Xinxin Jiang, Shirui Pan, Jing Jiang, Guodong Long |
| 2018 | IJCNN | Cost-sensitive Hybrid Neural Networks for Heterogeneous and Imbalanced Data. | Xinxin Jiang, Shirui Pan, Guodong Long, Jiang Chang, Jing Jiang, Chengqi Zhang |
| 2018 | IJCNN | FraudNE: a Joint Embedding Approach for Fraud Detection. | Mengyu Zheng, Chuan Zhou, Jia Wu, Shirui Pan, Jinqiao Shi, Li Guo |
| 2017 | CIKM | Graph Ladder Networks for Network Classification. | Ruiqi Hu, Shirui Pan, Jing Jiang, Guodong Long |
| 2017 | CIKM | MGAE: Marginalized Graph Autoencoder for Graph Clustering. | Chun Wang, Shirui Pan, Guodong Long, Xingquan Zhu, Jing Jiang |
| 2017 | IJCNN | Universal network representation for heterogeneous information networks. | Ruiqi Hu, Celina Ping Yu, Sai-Fu Fung, Shirui Pan, Haishuai Wang, Guodong Long |
| 2016 | AAAI | Direct Discriminative Bag Mapping for Multi-Instance Learning. | Jia Wu, Shirui Pan, Peng Zhang, Xingquan Zhu |
| 2016 | ICDE | Joint structure feature exploration and regularization for multi-task graph classification. | Shirui Pan, Jia Wu, Xingquan Zhu, Chengqi Zhang, Philip S. Yu |
| 2016 | IJCAI | Tri-Party Deep Network Representation. | Shirui Pan, Jia Wu, Xingquan Zhu, Chengqi Zhang, Yang Wang |
| 2016 | IJCAI | 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 |
| 2016 | IJCNN | Co-clustering enterprise social networks. | Ruiqi Hu, Shirui Pan, Guodong Long, Xingquan Zhu, Jing Jiang, Chengqi Zhang |
| 2015 | ICONIP | Mining Top-k Minimal Redundancy Frequent Patterns over Uncertain Databases. | Haishuai Wang, Peng Zhang, Jia Wu, Shirui Pan |
| 2015 | IJCAI | Multi-Graph-View Learning for Complicated Object Classification. | Jia Wu, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang |
| 2014 | CIKM | Exploring Features for Complicated Objects: Cross-View Feature Selection for Multi-Instance Learning. | Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang |
| 2014 | ICDM | Multi-graph-view Learning for Graph Classification. | Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang |
| 2014 | IJCNN | Attribute weighting: How and when does it work for Bayesian Network Classification. | Jia Wu, Zhihua Cai, Shirui Pan, Xingquan Zhu, Chengqi Zhang |
| 2014 | IJCNN | Dual instance and attribute weighting for Naive Bayes classification. | Jia Wu, Shirui Pan, Zhihua Cai, Xingquan Zhu, Chengqi Zhang |
| 2014 | SDM | Multi-Graph Learning with Positive and Unlabeled Bags. | Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Chengqi Zhang, Zhihua Cai |
| 2013 | ICDE | Graph stream classification using labeled and unlabeled graphs. | Shirui Pan, Xingquan Zhu, Chengqi Zhang, Philip S. Yu |
| 2013 | IJCAI | Graph Classification with Imbalanced Class Distributions and Noise. | Shirui Pan, Xingquan Zhu |
| 2012 | CIKM | CGStream: continuous correlated graph query for data streams. | Shirui Pan, Xingquan Zhu |
| 2012 | CIKM | Continuous top-k query for graph streams. | Shirui Pan, Xingquan Zhu |
| 2012 | ICPR | Top-k correlated subgraph query for data streams. | Shirui Pan, Xingquan Zhu, Meng Fang |
| 2010 | PAKDD | Classifier Ensemble for Uncertain Data Stream Classification. | Shirui Pan, Kuan Wu, Yang Zhang, Xue Li |