I am a Ph.D. candidate in Data Science & Artificial Intelligence at The Hong Kong Polytechnic University (PolyU), advised by Prof. Chengqi Zhang and Prof. Guodong Long. My research lies at the intersection of spatio-temporal data mining, urban intelligence, and vision-language-action modeling. Previously, I received my M.Sc. and B.Eng. degrees in Software Engineering from Shandong University, under the supervision of Prof. Yongshun Gong.

🔥 Recent News

• May 2025: One paper accepted to IEEE TKDE
• Apr 2025: Two papers accepted to IJCAI 2025
• Apr 2025: One paper accepted to IEEE TKDE
• Nov 2024: One paper accepted to IEEE TKDE
• May 2024: One paper accepted to Neural Computing and Applications
• Jan 2024: One paper accepted to Artificial Intelligence

📝 Publications

• Adaptive Traffic Forecasting on Daily Basis: A Spatio-Temporal Context Learning Approach.
  IEEE TKDE, 2025. Paper | Code

• Spatio-temporal Prototype-based Hierarchical Learning for OD Demand Prediction.
  IJCAI 2025. Paper

• CAN-ST: Clustering Adaptive Normalization for Spatio-temporal OOD Learning.
  IJCAI 2025. Paper

• Spatio-Temporal Multivariate Probabilistic Modeling for Traffic Prediction.
  IEEE TKDE, 2025. Paper

• STDA: Spatio-Temporal Deviation Alignment Learning for Cross-city Urban Flow Inference.
  IEEE TKDE, 2025. Paper

• DualST: Dual-track Spatio-temporal Learning with Adaptive Normalization.
  Artificial Intelligence, 2024. Paper | Code

• PartialST: Partial Spatial-Temporal Learning for Urban Flow Prediction.
  Neural Computing and Applications, 2024. Paper | Code

🎖 Honors and Awards

• Outstanding Graduate, Shandong University — Jan 2025
• National Scholarship — Dec 2024

📖 Education

• Ph.D. in Artificial Intelligence
  The Hong Kong Polytechnic University — Sep 2025 – Present

• M.Sc. in Software Engineering
  Shandong University — Sep 2022 – Jun 2025

• B.Eng. in Software Engineering
  Shandong University — Sep 2018 – Jun 2022

💬 Professional Service

Reviewer for: IEEE TKDE, IEEE TNNLS, KDD, AAAI