Haomin Wen

Orcid: 0000-0001-6130-126X

According to our database1, Haomin Wen authored at least 36 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook.
Inf. Fusion, 2025

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

DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation.
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.
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.
CoRR, 2024

Deep Learning for Trajectory Data Management and Mining: A Survey and Beyond.
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.
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.
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

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.
ACM Trans. Intell. Syst. Technol., 2023

When Urban Region Profiling Meets Large Language Models.
CoRR, 2023

A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects.
CoRR, 2023

LaDe: The First Comprehensive Last-mile Delivery Dataset from Industry.
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


  Loading...