For the most updated publication list, please visit my
google scholar page.
(2024).
Spatial-Temporal Large Language Model for Traffic Prediction.
IEEE MDM 2024.
(2024).
TimeCMA: Towards LLM-Empowered Time Series Forecasting via Cross-Modality Alignment.
under review of VLDB.
(2024).
VisionTraj: A Noise-Robust Trajectory Recovery Framework based on Large-scale Camera Network.
under review: IEEE Transactions on Intelligent Vehicles.
(2024).
SQL-to-Schema Enhances Schema Linking in Text-to-SQL.
DEXA 2024.
(2024).
A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Mode.
under review of ACM Computing Surveys.
(2024).
Non-Neighbors Also Matter to Kriging: A New Contrastive-Prototypical Learning.
AISTATS 2024.
(2024).
MultiFun-DAG: Multivariate Functional Directed Acyclic Graph.
under review of Journal of the American Statistical Association.
(2024).
Low-Rank Robust Subspace Tensor Clustering for Metro Passenger Flow Modeling.
INFORMS Journal on Data Science.
(2024).
FELight: Fairness-Aware Traffic Signal Control Via Sample-Efficient Reinforcement Learning.
IEEE Transactions on Knowledge and Data Engineering.
(2024).
PET-SQL: A Prompt-enhanced Two-stage Text-to-SQL Framework with Cross-consistency.
under review of NeurIPS.
(2024).
SQLBench: Benchmarking the Text-to-SQL Capability of Large Language Models - A Comprehensive Evaluation.
under review of NeurIPS.
(2024).
Sparse Decomposition Methods for Spatio-Temporal Anomaly Detection.
Multimodal and Tensor Data Analytics for Industrial Systems Improvement.
(2024).
Online Test-Time Adaptation of Spatial-Temporal Traffic Flow Forecasting.
under review: IEEE T-ITS.
(2023).
Tensor Dirichlet Process Multinomial Mixture Model with Graphs for Passenger Trajectory Clustering.
SIGSPATIAL 2023.
(2023).
A Critical Perceptual Pre-trained Model for Complex Trajectory Recovery.
SIGSPATIAL 2023.
(2023).
KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy.
under review of NeurIPS 2024.
(2023).
Reboost Large Language Model-based Text-to-SQL, Text-to-Python, and Text-to-Function -- with Real Applications in Traffic Domain.
ICDE 2024 (Under Review).
(2023).
TPTU: Large Language Model-based AI Agents for Task Planning and Tool Usage.
NeurIPS 2023 - FMDM Workshop.
(2023).
Dynamic Causal Graph Convolutional Network for Traffic Prediction.
IEEE CASE 2023.
(2023).
Correlated Time Series Self-Supervised Representation Learning via Spatiotemporal Bootstrapping.
IEEE CASE 2023.
(2023).
Adaptive Hierarchical SpatioTemporal Network for Traffic Forecasting.
IEEE CASE 2023.
(2023).
Relation-Aware Distribution Representation Network for Person Clustering With Multiple Modalities.
IEEE Transactions on Multimedia.
(2023).
A Privacy-preserving Heart Rate Prediction System for Drivers in Connected Vehicles.
MobiSys 2023.
(2023).
GESA: A General Scenario-agnostic Reinforcement Learning for Traffic Signal Control.
IEEE Transactions on Intelligent Transportation Systems.
(2022).
Jointly contrastive representation learning on road network and trajectory.
CIKM 2022.
(2022).
Profile Decomposition based Hybrid Transfer Learning for Cold-start Data Anomaly Detection.
The ACM Transactions in Knowledge Discovery from Data (TKDD).
(2022).
Individualized Passenger Travel Pattern Multi-Clustering based on Graph Regularized Tensor Latent Dirichlet Allocation.
Data Mining and Knowledge Discovery.
(2020).
Long-Short Term Spatiotemporal Tensor Prediction for Passenger Flow Profile.
IEEE Robotics and Automation Letters.
(2020).
Discussion of 'A novel approach to the analysis of spatial and functional data over complex domains' .
Quality Engineering.