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.