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

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]
   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

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

8. 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

9. 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

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

6. Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning [Paper]
   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

7. Redundancy-Free Self-Supervised Relational Learning for Graph Clustering [Paper]
   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]
   Yifang Qin, Hongjun Wu, Wei Ju, Xiao Luo, and Ming Zhang
   ACM Transactions on Information Systems
   TOIS 2023, CCF-A, 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]
    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

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, 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

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

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]
   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