Selected Publications
Only list publications as the corresponding author or first author.
Trajectory Data Management and Mining: A Survey from Deep Learning to the LLM Era
IEEE Transactions on Knowledge and Data Engineering
Toward Non-Parameterized Time Series Embedding for Efficient Forecasting: A Dynamical System Perspective
The 51st IEEE International Conference on Acoustics, Speech, and Signal Processing
How to Train Your Mamba for Time Series Forecasting
The 32nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook
Information Fusion
Unlocking the Power of LSTM for Long Term Time Series Forecasting
The 39th AAAI Conference on Artificial Intelligence
On regularization for explaining graph neural networks: An information theory perspective
IEEE Transactions on Knowledge and Data Engineering
Modeling Spatio-temporal Dynamical Systems with Neural Discrete Learning and Levels-of-Experts
IEEE Transactions on Knowledge and Data Engineering
Brave the Wind and the Waves: Discovering Robust and Generalizable Graph Lottery Tickets
IEEE Transactions on Pattern Analysis and Machine Intelligence
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey
IEEE Transactions on Knowledge and Data Engineering
Decoupling Long- and Short-Term Patterns in Spatiotemporal Inference
IEEE Transactions on Neural Networks and Learning Systems
Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey
The 31st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Foundation Models for Time Series Analysis: A Tutorial and Survey
The 30th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
AirFormer: Predicting Nationwide Air Quality in China with Transformers
The 37th AAAI Conference on Artificial Intelligence
GDformer: Going Beyond Subsequence Isolation for Multivariate Time Series Anomaly Detection
The 35th ACM International Conference on Information and Knowledge Management
A Game-Theoretic Spatio-Temporal Reinforcement Learning Framework for Collaborative Public Resource Allocation
The 35th ACM International Conference on Information and Knowledge Management
Multi-Order Wavelet Derivative Transform for Multivariate Time Series Forecasting
The 35th ACM International Conference on Information and Knowledge Management
CoST: Semantic-Aware Urban Understanding via Spatial-Temporal Alignment
The 35th ACM International Conference on Information and Knowledge Management
GadMIL: Granularity-Aware Association Discovery for Multi-Instance Time Series Classification
The 35th ACM International Conference on Information and Knowledge Management
ViST: Harnessing Vision Transformation and Reconstruction for Multi-modal Spatio-temporal Forecasting
The 34th ACM International Conference on Multimedia
Reinforcement Learning for UAV-based Participatory Sensing in Dynamic Environments
The 34th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Perceive to Hypothesize, Verify to Ground: an Agentic Reasoning Framework for Open-World Geo-Localization
The 2026 Conference on Empirical Methods in Natural Language Processing
Rationale-Grounded In-Context Learning for Time Series Reasoning with Multimodal Large Language Models
Findings of the 2026 Conference on Empirical Methods in Natural Language Processing
Back to Basics: Let Conversational Agents Remember with Just Retrieval and Generation
The Third Conference on Language Modeling
DropoutTS: Sample-Adaptive Dropout for Robust Time Series Forecasting
The 43rd International Conference on Machine Learning
TS-Memory: Plug-and-Play Memory for Time Series Foundation Models
The 32nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Multi-Agent Collaborative Reasoning with Tool-Augmented Evidence for Urban Region Profiling
The 32nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Hierarchical Reinforcement Learning for Cooperative Air-Ground Delivery in Urban System
The 32nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Test-Time Learning of Causal Structure from Interventional Data
The 43rd International Conference on Machine Learning
Traffic-R1: Reinforced LLMs Bring Human-Like Reasoning to Traffic Signal Control Systems
The 64th Annual Meeting of the Association for Computational Linguistics
ACCFormer: Predicting Analog Circuit Performance Metrics via Topology-Aware Transformers
The 35th International Joint Conference on Artificial Intelligence
AgentSense: LLMs Empower Generalizable and Explainable Web-Based Participatory Urban Sensing
The 35th ACM Web Conference
OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting
The 40th AAAI Conference on Artificial Intelligence
Revitalizing Canonical Pre-Alignment for Irregular Multivariate Time Series Forecasting
The 40th AAAI Conference on Artificial Intelligence
A Retrieval Augmented Spatio-Temporal Framework for Traffic Prediction
The 40th AAAI Conference on Artificial Intelligence
Learning to Factorize Spatio-Temporal Foundation Models
The 39th Conference on Neural Information Processing Systems
UniTraj: Learning a Universal Trajectory Foundation Model from Billion-Scale Worldwide Traces
The 39th Conference on Neural Information Processing Systems
FlowNet: Modeling Dynamic Spatio-Temporal Systems via Flow Propagation
The 39th Conference on Neural Information Processing Systems
Improving Bilinear RNN with Closed-loop Control
The 39th Conference on Neural Information Processing Systems
Learning with Calibration: Exploring Test-Time Computing of Spatio-Temporal Forecasting
The 39th Conference on Neural Information Processing Systems
Fine-Grained Urban Heat Island Effect Forecasting: A Context-Aware Thermodynamic Modeling Framework
The 31st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Learning Generalized and Flexible Trajectory Models from Omni-Semantic Supervision
The 31st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting
The 31st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Cross Space and Time: A Spatio-Temporal Unitized Model for Traffic Flow Forecasting
IEEE Transactions on Intelligent Transportation Systems
Space-aware Socioeconomic Indicator Inference with Heterogeneous Graphs
The 33rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
ST-LoRA: Low-rank Adaptation for Spatio-temporal Forecasting
The 36th European Conference on Machine Learning and the 29th Conference on Principles and Practice of Knowledge Discovery in Databases
Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting
The 42nd International Conference on Machine Learning
Nature Makes No Leaps: Building Continuous Location Embeddings with Satellite Imagery from the Web
The 34th ACM Web Conference
Reinforcement Learning for Hybrid Charging Stations Planning and Operation Considering Fixed and Mobile Chargers
The 34th International Joint Conference on Artificial Intelligence
Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting
The 13th International Conference on Learning Representations
Towards Neural Scaling Laws for Time Series Foundation Models
The 13th International Conference on Learning Representations
AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks
The 39th AAAI Conference on Artificial Intelligence
UrbanVLP: A Multi-Granularity Vision-Language Pre-Trained Foundation Model for Urban Indicator Prediction
The 39th AAAI Conference on Artificial Intelligence
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification
The 39th AAAI Conference on Artificial Intelligence
Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting
The 38th Conference on Neural Information Processing Systems
Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective
The 38th Conference on Neural Information Processing Systems
Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth
The 38th Conference on Neural Information Processing Systems
UrbanCross: Enhancing Satellite Image-Text Retrieval with Cross-Domain Adaptation
The 32nd ACM International Conference on Multimedia
Reinventing Node-Centric Traffic Forecasting for Improved Accuracy and Efficiency
The 35th European Conference on Machine Learning and the 28th Conference on Principles and Practice of Knowledge Discovery in Databases
Towards Unifying Diffusion Models for Probabilistic Spatio-Temporal Graph Learning
The 32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Controltraj: Controllable trajectory generation with topology-constrained diffusion model
The 30th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
The Snowflake Hypothesis: Training and Powering GNN with One Node One Receptive field
The 30th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Position: What Can Large Language Models Tell Us about Time Series Analysis
The 41st International Conference on Machine Learning
Spatio-Temporal Field Neural Networks for Air Quality Inference
The 33rd International Joint Conference on Artificial Intelligence
Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning
The 33rd International Joint Conference on Artificial Intelligence
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting
The 33rd ACM Web Conference
NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling
The 12th International Conference on Learning Representations
Graph Lottery Ticket Automated
The 12th International Conference on Learning Representations
Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment
The 37th Conference on Neural Information Processing Systems
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting
The 37th Conference on Neural Information Processing Systems
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models
The 31st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Graph Neural Processes for Spatio-Temporal Extrapolation
The 29th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Searching Lottery Tickets in Graph Neural Networks: A Dual Perspective
The 11th International Conference on Learning Representations
Mixed-order Relation-aware Recurrent Neural Networks for Spatio-Temporal Forecasting
IEEE Transactions on Knowledge and Data Engineering
DualFormer: Local-Global Stratified Transformer for Efficient Video Recognition
The 17th European Conference on Computer Vision
TrajFormer: Efficient Trajectory Classification with Transformers
The 31st ACM International Conference on Information and Knowledge Management
Modeling Trajectories with Neural Ordinary Differential Equations
The 30th International Joint Conference on Artificial Intelligence
Fine-Grained Urban Flow Prediction
The 30th ACM Web Conference
Revisiting Convolutional Neural Networks for Citywide Crowd Flow Analytics
The 31st European Conference on Machine Learning and the 24th Conference on Principles and Practice of Knowledge Discovery in Databases
UrbanFM: Inferring Fine-Grained Urban Flows
The 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
GeoMAN: Multi-level Attention Networks for Geo-sensory Time Series Prediction
The 27th International Joint Conference on Artificial Intelligence
Inferring Traffic Cascading Patterns
The 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
No publications match this search.