Wei Ju

Wei Ju

Associate Professor in the College of Computer Science, Sichuan University

Publications

(* Equal Contribution)

2024

  1. Hypergraph-enhanced Dual Semi-supervised Graph Classification [Paper]
    Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Yifan Wang, Xiao Luo, and Ming Zhang
    International Conference on Machine Learning
    ICML 2024, CCF-A

  2. A Survey of Data-Efficient Graph Learning [Paper]
    Wei Ju, Siyu Yi, Yifan Wang, Qingqing Long, Junyu Luo, Zhiping Xiao, and Ming Zhang
    International Joint Conference on Artificial Intelligence
    IJCAI 2024, CCF-A, Oral Representation

  3. GPS: Graph Contrastive Learning via Multi-scale Augmented Views from Adversarial Pooling [Paper]
    Wei Ju, Yiyang Gu, Zhengyang Mao, Ziyue Qiao, Yifang Qin, Xiao Luo, Hui Xiong, and Ming Zhang
    SCIENCE CHINA Information Sciences
    SCIS 2024, CCF-A, JCR Q1, IF=8.8

  4. Focus on Informative Graphs! Semi-supervised Active Learning for Graph-level Classification [Paper]
    Wei Ju, Zhengyang Mao, Ziyue Qiao, Yifang Qin, Siyu Yi, Zhiping Xiao, Xiao Luo, Yanjie Fu, and Ming Zhang
    Pattern Recognition 2024, CCF-B, JCR Q1, IF=8.0

  5. A Comprehensive Survey on Deep Graph Representation Learning [Paper][Link]
    Wei Ju, Zheng Fang, Yiyang Gu, Zequn Liu, Qingqing Long, Ziyue Qiao, Yifang Qin, Jianhao Shen, Fang Sun, Zhiping Xiao, Junwei Yang, Jingyang Yuan, Yusheng Zhao, Yifan Wang, Xiao Luo, and Ming Zhang
    Neural Networks 2024, CCF-B, JCR Q1, IF=7.8, ESI Hot & Highly Cited Paper***

  6. COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting [Paper]
    Wei Ju*, Yusheng Zhao*, Yifang Qin, Siyu Yi, Jingyang Yuan, Zhiping Xiao, Xiao Luo, Xiting Yan, and Ming Zhang
    Information Fusion 2024, JCR Q1, IF=18.6

  7. Learning Graph ODE for Continuous-Time Sequential Recommendation [Paper]
    Yifang Qin*, Wei Ju*, Hongjun Wu, Xiao Luo, and Ming Zhang
    IEEE Transactions on Knowledge and Data Engineering
    TKDE 2024, CCF-A, JCR Q1, IF=8.9, Co-first Author

  8. Learning Knowledge-diverse Experts for Long-tailed Graph Classification [Paper]
    Zhengyang Mao, Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Qingqing Long, Nan Yin, Xinwang Liu, and Ming Zhang
    ACM Transactions on Knowledge Discovery from Data
    TKDD 2024, CCF-B, IF=4.0, Corresponding Author

  9. GALA: Graph Diffusion-based Alignment with Jigsaw for Source-free Domain Adaptation [Paper][Code]
    Junyu Luo, Yiyang Gu, Xiao Luo, Wei Ju, Yusheng Zhao, Zhiping Xiao, Jingyang Yuan, and Ming Zhang
    IEEE Transactions on Pattern Analysis and Machine Intelligence
    TPAMI 2024, CCF-A, JCR Q1, IF=23.6, Corresponding Author

  10. PGODE: Towards High-quality System Dynamics Modeling [Paper]
    Xiao Luo, Yiyang Gu, Huiyu Jiang, Hang Zhou, Jinsheng Huang, Wei Ju, Zhiping Xiao, Ming Zhang, and Yizhou Sun
    International Conference on Machine Learning
    ICML 2024, CCF-A

  11. Rank and Align: Towards effective Source-free Graph Domain Adaptation [Paper]
    Junyu Luo, Zhiping Xiao, Yifan Wang, Xiao Luo, Jingyang Yuan, Wei Ju, Langechuan Liu, and Ming Zhang
    International Joint Conference on Artificial Intelligence
    IJCAI 2024, CCF-A, Oral Representation

  12. EGODE: An Event-attended Graph ODE Framework for Modeling Rigid Dynamics [Paper]
    Jingyang Yuan, Gongbo Sun, Zhiping Xiao, Hang Zhou, Xiao Luo, Junyu Luo, Yusheng Zhao, Wei Ju, and Ming Zhang
    International Conference on Machine Learning
    NeurIPS 2024, CCF-A

  13. DisenSemi: Semi-supervised Graph Classification via Disentangled Representation Learning [Paper][Code]
    Yifan Wang, Xiao Luo, Chong Chen, Xian-Sheng Hua, Ming Zhang, and Wei Ju
    IEEE Transactions on Neural Networks and Learning Systems
    TNNLS 2024, CCF-B, JCR Q1, IF=10.2, Corresponding Author

  14. DEER: Distribution Divergence-based Graph Contrast for Partial Label Learning on Graphs [Paper]
    Yiyang Gu, Zihao Chen, Yifang Qin, Zhengyang Mao, Zhiping Xiao, Wei Ju, Chong Chen, Xian-Sheng Hua, Yifan Wang, Xiao Luo, and Ming Zhang
    IEEE Transactions on Multimedia
    TMM 2024, CCF-B, JCR Q1, IF=7.3

  15. MOAT: Graph Prompting for 3D Molecular Graphs [Paper]
    Qingqing Long, Yuchen Yan, Wentao Cui, Meng Xiao, Zhihong Zhu, Wei Ju, Xuezhi Wang, and Yuanchun Zhou
    ACM International Conference on Information and Knowledge Management
    CIKM 2024, CCF-B

  16. Poisoning medical knowledge using large language models [Paper]
    Junwei Yang, Hanwen Xu, Srbuhi Mirzoyan, Tong Chen, Zixuan Liu, Zequn Liu, Wei Ju, Luchen Liu, Zhiping Xiao, Ming Zhang, and Sheng Wang
    Nature Machine Intelligence
    NMI 2024, IF=18.8 (Nature 子刊)

2023

  1. GLCC: A General Framework for Graph-level Clustering [Paper]
    Wei Ju*, Yiyang Gu*, Binqi Chen, Gongbo Sun, Yifang Qin, Xingyuming Liu, Xiao Luo, and Ming Zhang
    AAAI Conference on Artificial Intelligence
    AAAI 2023, CCF-A, Oral Representation

  2. Few-shot Molecular Property Prediction via Hierarchically Structured Learning on Relation Graphs [Paper]
    Wei Ju*, Zequn Liu*, Yifang Qin, Bin Feng, Chen Wang, Zhihui Guo, Xiao Luo, and Ming Zhang
    Neural Networks 2023, CCF-B, JCR Q1, IF=7.8

  3. Unsupervised Graph-level Representation Learning with Hierarchical Contrasts [Paper]
    Wei Ju*, Yiyang Gu*, Xiao Luo, Yifan Wang, Haochen Yuan, Huasong Zhong, and Ming Zhang
    Neural Networks 2023, CCF-B, JCR Q1, IF=7.8

  4. Zero-shot Node Classification with Graph Contrastive Embedding Network [Paper]
    Wei Ju, Yifang Qin, Siyu Yi, Zhengyang Mao, Kangjie Zheng, Luchen Liu, Xiao Luo, and Ming Zhang
    Transactions on Machine Learning Research
    TMLR 2023

  5. RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification [Paper]
    Zhengyang Mao*, Wei Ju*, Yifang Qin, Xiao Luo, and Ming Zhang
    ACM International Conference on Multimedia
    ACMMM 2023, CCF-A, Co-first Author

  6. Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning [Paper][Code][Link]
    Xiao Luo*, Wei Ju*, Yiyang Gu, Zhengyang Mao, Luchen Liu, Yuhui Yuan, and Ming Zhang
    ACM Transactions on Knowledge Discovery from Data
    TKDD 2023, CCF-B, IF=3.6, Co-first Author, ESI Highly Cited Paper

  7. Redundancy-Free Self-Supervised Relational Learning for Graph Clustering [Paper][Code]
    Siyu Yi, Wei Ju, Yifang Qin, Xiao Luo, Luchen Liu, Yongdao Zhou, and Ming Zhang
    IEEE Transactions on Neural Networks and Learning Systems
    TNNLS 2023, CCF-B, JCR Q1, IF=10.4, Corresponding Author

  8. Towards Effective Semi-supervised Node Classification with Hybrid Curriculum Pseudo-labeling [Paper]
    Xiao Luo, Wei Ju, Yiyang Gu, Yifang Qin, Siyu Yi, Daqing Wu, Luchen Liu, and Ming Zhang
    ACM Transactions on Multimedia Computing Communications and Applications
    TOMM 2023, CCF-B, JCR Q1, IF=5.1, Corresponding Author

  9. A Diffusion model for POI recommendation [Paper][Code]
    Yifang Qin, Hongjun Wu, Wei Ju, Xiao Luo, and Ming Zhang
    ACM Transactions on Information Systems
    TOIS 2023, CCF-A, IF=5.6, Corresponding Author

  10. Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting [Paper]
    Yusheng Zhao*, Xiao Luo*, Wei Ju, Chong Chen, Xian-Sheng Hua, and Ming Zhang
    IEEE International Conference on Data Engineering
    ICDE 2023, CCF-A, Corresponding Author

  11. Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts [Paper]
    Si-Yu Yi*, Zhengyang Mao*, Wei Ju, Yong-Dao Zhou, Luchen Liu, Xiao Luo, and Ming Zhang
    IEEE Transactions on Big Data
    TBD 2023, CCF-C, JCR Q1, IF=7.2, Corresponding Author

  12. Towards Semi-supervised Universal Graph Classification [Paper][Link]
    Xiao Luo*, Yusheng Zhao*, Yifang Qin*, Wei Ju, and Ming Zhang
    IEEE Transactions on Knowledge and Data Engineering
    TKDE 2023, CCF-A, JCR Q1, IF=8.9, Corresponding Author, ESI Highly Cited Paper

  13. ALEX: Towards Effective Graph Transfer Learning with Noisy Labels [Paper]
    Jingyang Yuan, Xiao Luo, Yifang Qin, Zhengyang Mao, Wei Ju, and Ming Zhang
    ACM International Conference on Multimedia
    ACMMM 2023, CCF-A, Corresponding Author

  14. HOPE: High-order Graph ODE For Modeling Interacting Dynamics [Paper]
    Xiao Luo, Jingyang Yuan, Zijie Huang, Huiyu Jiang, Yifang Qin, Wei Ju, Ming Zhang, and Yizhou Sun
    International Conference on Machine Learning
    ICML 2023, CCF-A

  15. DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation [Paper]
    Yifang Qin*, Yifan Wang*, Fang Sun*, Wei Ju, Xuyang Hou, Zhe Wang, Jia Cheng, Jun Lei, and Ming Zhang
    ACM International Conference on Web Search and Data Mining
    WSDM 2023, CCF-B, Corresponding Author

  16. Learning on Graphs under Label Noise [Paper]
    Jingyang Yuan*, Xiao Luo*, Yifang Qin, Yusheng Zhao, Wei Ju, and Ming Zhang
    IEEE International Conference on Acoustics, Speech and Signal Processing
    ICASSP 2023, CCF-B, Corresponding Author

  17. RIGNN: A Rationale Perspective for Semi-supervised Open-world Graph Classification [Paper]
    Xiao Luo, Yusheng Zhao, Zhengyang Mao, Yifang Qin, Wei Ju, Ming Zhang, and Yizhou Sun
    Transactions on Machine Learning Research
    TMLR 2023

2022

  1. TGNN: A Joint Semi-supervised Framework for Graph-level Classification [Paper]
    Wei Ju*, Xiao Luo*, Meng Qu, Yifan Wang, Chong Chen, Minghua Deng, Xian-Sheng Hua, and Ming Zhang
    International Joint Conference on Artificial Intelligence
    IJCAI 2022, CCF-A

  2. Kernel-based Substructure Exploration for Next POI Recommendation [Paper][Code]
    Wei Ju*, Yifang Qin*, Ziyue Qiao, Xiao Luo, Yifan Wang, Yanjie Fu, and Ming Zhang
    IEEE International Conference on Data Mining
    ICDM 2022, CCF-B, 🏆 Best Paper Finalist

  3. KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification [Paper]
    Wei Ju, Junwei Yang, Meng Qu, Weiping Song, Jianhao Shen, and Ming Zhang
    ACM International Conference on Web Search and Data Mining
    WSDM 2022, CCF-B

  4. GHNN: Graph Harmonic Neural Networks for Semi-supervised Graph-level Classification [Paper]
    Wei Ju*, Xiao Luo*, Zequ Ma, Junwei Yang, Minghua Deng, and Ming Zhang
    Neural Networks 2022, CCF-B, JCR Q1, IF=9.657

  5. DualGraph: Improving Semi-supervised Graph Classification via Dual Contrastive Learning [Paper]
    Xiao Luo*, Wei Ju*, Meng Qu, Chong Chen, Minghua Deng, Xian-Sheng Hua, and Ming Zhang
    IEEE International Conference on Data Engineering
    ICDE 2022, CCF-A, , Co-first Author, Early Accept

  6. Improved Deep Unsupervised Hashing via Prototypical Learning [Paper]
    Zeyu Ma*, Wei Ju*, Xiao Luo, Chong Chen, Xian-Sheng Hua, and Guangming Lu
    ACM International Conference on Multimedia
    ACMMM 2022, CCF-A, Co-first Author

  7. CLEAR: Cluster-enhanced Contrast for Self-supervised Graph Representation Learning [Paper]
    Xiao Luo*, Wei Ju*, Meng Qu, Yiyang Gu, Chong Chen, Minghua Deng, Xian-Sheng Hua, and Ming Zhang
    IEEE Transactions on Neural Networks and Learning Systems
    TNNLS 2022, CCF-B, JCR Q1, IF=14.255, Co-first Author

  8. Building Conversational Diagnosis Systems for Fine-grained Diseases using Few Annotated Data [Paper]
    Yiping Song, Wei Ju, Zhiliang Tian, Luchen Liu, Ming Zhang, and Zheng Xie
    International Conference on Neural Information Processing
    ICONIP 2022, CCF-C, Oral Representation

  9. DisenCite: Graph-based Disentangled Representation Learning for Context-specific Citation Generation [Paper][Code]
    Yifan Wang, Yiping Song, Shuai Li, Chaoran Cheng, Wei Ju, Ming Zhang, and Sheng Wang
    AAAI Conference on Artificial Intelligence
    AAAI 2022, CCF-A, Oral Representation

2021

  1. An Interpretation of Convolutional Neural Networks for Motif Finding from the View of Probability [Paper]
    Weinan Wang, Yuhang Guo, Wei Ju, Xiao Luo, and Minghua Deng
    IEEE International Conference on Tools with Artificial Intelligence
    ICTAI 2021, CCF-C

  2. Deep Supervised Hashing by Classification For Image Retrieval [Paper]
    Xiao Luo, Yuhang Guo, Zeyu Ma, Tao Li, Wei Ju, Chong Chen, and Minghua Deng
    International Conference on Neural Information Processing
    ICONIP 2021, CCF-C, Oral Representation