2025
TransferTraj: A Vehicle Trajectory Learning Model for Region and Task Transferability.
CoRR, May, 2025
T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models.
CoRR, May, 2025
UniTE: A Survey and Unified Pipeline for Pre-Training Spatiotemporal Trajectory Embeddings.
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IEEE Trans. Knowl. Data Eng., March, 2025
Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey.
CoRR, March, 2025
Vision-Enhanced Time Series Forecasting via Latent Diffusion Models.
CoRR, February, 2025
Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook.
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Inf. Fusion, 2025
MRGRP: Empowering Courier Route Prediction in Food Delivery Service with Multi-Relational Graph.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025
DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects.
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IEEE Trans. Knowl. Data Eng., December, 2024
Embracing Large Language Models in Traffic Flow Forecasting.
CoRR, 2024
DRL4AOI: A DRL Framework for Semantic-aware AOI Segmentation in Location-Based Services.
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CoRR, 2024
Uncertainty-aware Human Mobility Modeling and Anomaly Detection.
CoRR, 2024
Zero-shot Outlier Detection via Prior-data Fitted Networks: Model Selection Bygone!
CoRR, 2024
TrajFM: A Vehicle Trajectory Foundation Model for Region and Task Transferability.
CoRR, 2024
PTrajM: Efficient and Semantic-rich Trajectory Learning with Pretrained Trajectory-Mamba.
CoRR, 2024
UniTE: A Survey and Unified Pipeline for Pre-training ST Trajectory Embeddings.
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CoRR, 2024
Learning Geospatial Region Embedding with Heterogeneous Graph.
CoRR, 2024
PLM4Traj: Cognizing Movement Patterns and Travel Purposes from Trajectories with Pre-trained Language Models.
CoRR, 2024
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data.
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CoRR, 2024
Deep Learning for Trajectory Data Management and Mining: A Survey and Beyond.
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CoRR, 2024
OverleafCopilot: Empowering Academic Writing in Overleaf with Large Language Models.
CoRR, 2024
DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting.
CoRR, 2024
Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook.
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CoRR, 2024
UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web.
Proceedings of the ACM on Web Conference 2024, 2024
LaDe: The First Comprehensive Last-mile Express Dataset from Industry.
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Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Foundation Models for Time Series Analysis: A Tutorial and Survey.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
A Momentum Contrastive Learning Framework for Query-POI Matching.
Proceedings of the IEEE International Conference on Data Mining, 2024
G2PTL: A Geography-Graph Pre-trained Model.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
Modeling Spatial-Temporal Constraints and Spatial-Transfer Patterns for Couriers' Package Pick-up Route Prediction.
IEEE Trans. Intell. Transp. Syst., December, 2023
Spatial-Temporal Position-Aware Graph Convolution Networks for Traffic Flow Forecasting.
IEEE Trans. Intell. Transp. Syst., August, 2023
Enough Waiting for the Couriers: Learning to Estimate Package Pick-up Arrival Time from Couriers' Spatial-Temporal Behaviors.
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ACM Trans. Intell. Syst. Technol., 2023
When Urban Region Profiling Meets Large Language Models.
CoRR, 2023
LaDe: The First Comprehensive Last-mile Delivery Dataset from Industry.
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CoRR, 2023
G2PTL: A Pre-trained Model for Delivery Address and its Applications in Logistics System.
CoRR, 2023
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models.
CoRR, 2023
Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
DRL4Route: A Deep Reinforcement Learning Framework for Pick-up and Delivery Route Prediction.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Modeling Intra- and Inter-community Information for Route and Time Prediction in Last-mile Delivery.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
M<sup>2</sup>G4RTP: A Multi-Level and Multi-Task Graph Model for Instant-Logistics Route and Time Joint Prediction.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models.
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023
GMDNet: A Graph-Based Mixture Density Network for Estimating Packages' Multimodal Travel Time Distribution.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Context-aware Distance Measures for Dynamic Networks.
ACM Trans. Web, 2022
Traffic Inflow and Outflow Forecasting by Modeling Intra- and Inter-Relationship Between Flows.
IEEE Trans. Intell. Transp. Syst., 2022
DeepRoute+: Modeling Couriers' Spatial-temporal Behaviors and Decision Preferences for Package Pick-up Route Prediction.
ACM Trans. Intell. Syst. Technol., 2022
Graph2Route: A Dynamic Spatial-Temporal Graph Neural Network for Pick-up and Delivery Route Prediction.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
2021
Package Pick-up Route Prediction via Modeling Couriers' Spatial-Temporal Behaviors.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
2019
Rebuilding the Standing Prescription Renewal Orders.
Appl. Clin. Inform., 2019