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Resume (English only)
Academic Achievements
1. [Time Series Large Language Models for Traffic Flow Forecasting: A Survey and Beyond], expected to be published in 2025; 2. [Disentangling Dynamics: Advanced, Scalable and Explainable Imputation for Multivariate Time Series], TKDE 2025; 3. [UrbanLLM: Autonomous Urban Activity Planning and Management with Large Language Models], EMNLP 2024 Findings; 4. [Personalized and On-device Trajectory Mobility Prediction], SigSpatial 2024 Workshop; 5. [SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting], ICDE 2024.
Research Experience
No specific work experience or research projects mentioned.
Education
1. Ph.D. - Nanyang Technological University (NTU), Supervisor: Professor Cong Gao; 2. B.Sc. - Peking University, Supervisor: Professor Guojie Song.
Background
A second-year Ph.D. student at Nanyang Technological University (NTU) in Singapore, focusing on spatial-temporal data mining, artificial intelligence, and machine learning. Before joining NTU, he completed his Bachelor of Science degree in Computer Science at Peking University in China.