Full Publications

1. Jianping Zhou, Bin Lu, Zhanyu Liu, Siyu Pan, Xuejun Feng, Hua Wei, Guanjie Zheng, Xinbing Wang, Chenghu Zhou, “MagiNet: Mask-Aware Graph Imputation Network for Incomplete Traffic Data”, ACM Transactions on Knowledge Discovery from Data (TKDD), 2025.
2. Gu Tang, Jinghe Wang, Xiaoying Gan, Bin Lu, Ze Zhao, Luoyi Fu, Xinbing Wang, Chenghu Zhou, “R2MR: Review and Rewrite Modality for Recommendation”, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Toronto, ON, Canada, August 2025.
3. Haoyan Fu, Zhida Qin, Shixiao Yang, Haoyao Zhang, Bin Lu, Shuang Li, Tianyu Huang, John C.S. Lui, “Time Matters: Enhancing Sequential Recommendations with Time-Guided Graph Neural ODEs”, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Toronto, ON, Canada, August 2025.
4. Gu Tang, Xiaoying Gan, Jinghe Wang, Bin Lu, Lyuwen Wu, Luoyi Fu, Chenghu Zhou, “EditKG: Editing Knowledge Graph for Recommendation”, ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Washington DC, August 2025.
5. Ze Zhao, Bin Lu, Xiaoying Gan, Gu Tang, Luoyi Fu, Xinbing Wang, Chenghu Zhou, “CHAINSFORMER: Numerical Reasoning on Knowledge Graphs from a Chain Perspective”, IEEE International Conference on Data Engineering (ICDE), Hong Kong, China, May 2025.
6. Jingjing Shen, Bin Lu, Lei Zhou, Xiaoying Gan, “Reconstruction of dissolved oxygen in the Tropical Pacific Ocean for past 100 years based on XGBoost”, Acta Oceanologica Sinica, 2025.
7. Tingyan Ma, Wei Liu, Bin Lu, Xiaoying Gan, Yunqiang Zhu, Luoyi Fu, Chenghu Zhou, “AutoFAIR: Automatic Data FAIRification via Machine Reading”, 13th International Workshop on Quality in Databases at the 50th VLDB conference (VLDB QDB Workshop), Guangzhou, China, August 2024.
8. Bin Lu, Ze Zhao, Luyu Han, Xiaoying Gan, Yuntao Zhou, Lei Zhou, Luoyi Fu, Xinbing Wang, Chenghu Zhou, Jing Zhang, “OxyGenerator: Reconstructing Global Ocean Deoxygenation Over a Century with Deep Learning”, International Conference on Machine Learning (ICML), Vienna, Austria, July 2024.
9. Bin Lu, Tingyan Ma, Xiaoying Gan, Xinbing Wang, Yunqiang Zhu, Chenghu Zhou, Shiyu Liang, “Temporal Generalization Estimation in Evolving Graphs”, International Conference on Learning Representations (ICLR), Vienna, Austria, May 2024.
10. Bin Lu, Ze Zhao, Xiaoying Gan, Shiyu Liang, Luoyi Fu, Xinbing Wang, Chenghu Zhou, “Graph Out-of-Distribution Generalization with Controllable Data Augmentation”, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024.
11. Lina Yang, Bin Lu, Xiaoying Gan, “Graph Open-Set Recognition via Entropy Message Passing”, IEEE International Conference on Data Mining (ICDM), Shanghai, China, December 2023.
12. Bin Lu, Lynwen Wu, Lina Yang, Chenxing Sun, Wei Liu, Xiaoying Gan, Shiyu Liang, Xinbing Wang, Chenghu Zhou, “DataExpo: A One-stop Dataset Service for Open Science Research”, International World Wide Web Conference (WWW), Austin, Texas, USA, April 2023.
13. Bin Lu, Xiaoying Gan, Weinan Zhang, Huaxiu Yao, Luoyi Fu, Xinbing Wang, “Geometer: Graph Few-Shot Class-Incremental Learning via Prototype Representation”, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Washington DC, Aug. 2022.
14. Bin Lu, Xiaoying Gan, Weinan Zhang, Huaxiu Yao, Luoyi Fu, Xinbing Wang, “Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer”, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Washington DC, Aug. 2022.
15. Bin Lu, Xiaoying Gan, Haiming Jin, Luoyi Fu, Xinbing Wang, Haisong Zhang, “Make More Connections: Urban Traffic Flow Forecasting with Spatiotemporal Adaptive Gated Graph Convolution Network”, ACM Transactions on Intelligent Systems and Technology (ACM TIST), vol. 13, no.2, pp: 1-25, Apr. 2022.
16. Bin Lu, Xiaoying Gan, Haiming Jin, Luoyi Fu, Haisong Zhang, “Spatiotemoral Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting”, ACM International Conference on Information and Knowledge Management (CIKM), Ireland, Oct. 2020.