Resume
Academic Achievements
- STRATA-TS: Selective Knowledge Transfer for Urban Time Series Forecasting with Retrieval-Guided Reasoning
- Context-Enhanced Multi-View Trajectory Representation Learning: Bridging the Gap through Self-Supervised Models
- Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction
- FlexTSF: A Universal Forecasting Model for Time Series with Variable Regularities
- SMARTraj2: A Stable Multi-City Adaptive Method for Multi-View Spatio-Temporal Trajectory Representation Learning
- Enhancing Large Language Models for Mobility Analytics with Semantic Location Tokenization
- Semantic-Enhanced Representation Learning for Road Networks with Temporal Dynamics
- Self-Supervised Representation Learning for Geospatial Objects: A Survey
- FSTLLM: Spatio-Temporal LLM for Few Shot Time Series Forecasting
- Disentangling Dynamics: Advanced, Scalable and Explainable Imputation for Multivariate Time Series
- Road Network Representation Learning with the Third Law of Geography
- UrbanLLM: Autonomous Urban Activity Planning and Management with Large Language Models
- TERI: An Effective Framework for Trajectory Recovery with Irregular Time Intervals
- Lemo: A Cache-Enhanced Learned Optimizer for Concurrent Queries
- AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction
- From Chaos to Clarity: Time Series Anomaly Detection in Astronomical Observations
Research Experience
- Currently a Research Fellow at the College of Computing and Data Science, Nanyang Technological University, working closely with Prof. Gao Cong and Prof. Han Yu.
Background
- Research interests include data mining and data management, and their applications in spatio-temporal data analytics, smart city, and recommender systems.