Profile
I am currently a postdoctoral researcher in the Data Intelligence Research Center at Shanghai Jiao Tong University. I received my Ph.D. degree from the Department of Electronic Engineering, Shanghai Jiao Tong University in March 2025, supervised by Prof. Xiaoying Gan and Prof. Xinbing Wang. I received my bachelor's degree from Shanghai Jiao Tong University with honors in July 2020.
Together with Prof. Meng Jin, I lead the AI for Science group, where we explore machine learning methods for scientific discovery, including Earth system modeling and data-driven understanding of large-scale academic graphs. My research focuses on discovering heterogeneous structures and underlying knowledge from ubiquitous scientific data using advanced machine learning techniques.
Prospective Ph.D. and Master’s students interested in joining our group are warmly encouraged to contact me. We also welcome SJTU undergraduates and visiting students throughout the year.
Selected Publications
Selected publications are shown below. An asterisk (*) denotes the corresponding author. View full publication list by year.
Zhaokun Wang, Bin Lu*, Yi Xin, Takamitsu Ito, Lei Zhou, Lijing Cheng, Yuanlong Li, Xinbing Wang, Meng Jin
Earth System Science Data (ESSD) 2026. IF=16.102
From Surface to Depth: Diagnosing Ocean Vertical Velocity with 3D Frequency Operator
KDD 2026
Haonan Qi, Bin Lu*, Yimian Hu, Ze Zhao, Meng Jin, Lixin Qu, Shuai Li, Shizhen Zhao, Lei Zhou, Xiaoying Gan, Xinbing Wang, Chenghu Zhou
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2026. CCF-A
🏆KDD 2026 Runner Up for Best Paper Award · AI for Science Track
OceanVerse: Evaluable 4D Ocean Element Reconstruction Dataset under Realistic Sparsity
KDD 2026
Bin Lu, Jingjing Shen, Ze Zhao, Jianping Zhou, Haonan Qi, Luyu Han, Xiaoying Gan, Meng Jin, Lei Zhou, Luoyi Fu, Xinbing Wang, Chenghu Zhou
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2026. CCF-A
Hybrid Graph Learning Reconstructs Global Ocean Oxygen Spatiotemporal Changes
KDD 2026
Bin Lu, Luyu Han, Ze Zhao, Jingjing Shen, Haonan Qi, Xiaoying Gan, Lei Zhou, Meng Jin, Lixin Qu, Yuntao Zhou, Luoyi Fu, Xinbing Wang, Chenghu Zhou, Jing Zhang
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2026. CCF-A
Yiming Liu, Bin Lu*, Meng Jin, Ziyuan Sang, Shuo Jiang, Lei Zhou, Xinbing Wang, Chenghu Zhou, Jing Zhang
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2026. CCF-A
Xu Bai, Bin Lu*, Kun Zhang, Shengbo Chen, Xinbing Wang, Chenghu Zhou, Meng Jin*
International Conference on Machine Learning, 2026. CCF-A
Yiming Liu, Bin Lu*, Xinbing Wang, Chenghu Zhou, Meng Jin*
International Conference on Machine Learning, 2026. CCF-A
Jingyao Wu, Bin Lu*, Zijun Di, Xiaoying Gan, Meng Jin, Luoyi Fu, Xinbing Wang, Chenghu Zhou
International Conference on Learning Representations, 2026. CCF-A
Bin Lu, Ze Zhao, Luyu Han, Xiaoying Gan, Yuntao Zhou, Lei Zhou, Luoyi Fu, Xinbing Wang, Chenghu Zhou, Jing Zhang
International Conference on Machine Learning, 2024. CCF-A
Bin Lu, Tingyan Ma, Xiaoying Gan, Xinbing Wang, Yunqiang Zhu, Chenghu Zhou, Shiyu Liang
International Conference on Learning Representations, 2024. CCF-A
Bin Lu, Ze Zhao, Xiaoying Gan, Shiyu Liang, Luoyi Fu, Xinbing Wang, Chenghu Zhou
IEEE Transactions on Knowledge and Data Engineering, 2024. CCF-A
Bin Lu, Xiaoying Gan, Weinan Zhang, Huaxiu Yao, Luoyi Fu, Xinbing Wang
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2022. CCF-A
Bin Lu, Xiaoying Gan, Lina Yang, Weinan Zhang, Luoyi Fu, Xinbing Wang
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2022. CCF-A
