Published several CCF A-class papers, such as 'Seeing the Unseen: Learning Basis Confounder Representations for Robust Traffic Prediction' at KDD'25 and 'Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction' at AAAI'23. Received multiple honors and awards, including the Beihang Top-10 PhD Students Award in 2024 and the China National Scholarship in 2023.
Research Experience
Was a visiting scholar at Nanyang Technological University, Singapore, from February 2023 to January 2024, supervised by Prof. Cheng Long; was a research intern at JD Intelligent Cities Research from March 2021 to January 2023, supervised by Prof. Yu Zheng and Dr. Junbo Zhang.
Education
Received his Ph.D. degree in 2025 from the School of Computer Science and Engineering at Beihang University, supervised by Prof. Jingyuan Wang; received his B.E. degree in 2019 from the School of Computer Science and Engineering at Beihang University.
Background
Research interests include spatio-temporal data mining, interpretable machine learning, and urban computing. Particularly passionate about designing (1) interpretable and robust algorithms for mining spatio-temporal and graph data, and (2) models for learning from these data types for applications such as transportation, hazardous chemicals, epidemics, etc.
Miscellany
Served as a reviewer for multiple international journals and conferences, including IEEE TKDE, KDD, WWW, and AAAI.