Haomin Wen

Orcid: 0000-0001-6130-126X

According to our database¹, Haomin Wen authored at least 59 papers between 2019 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Links

On csauthors.net:

Bibliography

2026

A Survey on Diffusion Models for Time Series and Spatio-Temporal Data.

[BibT_eX]

[DOI]

ACM Comput. Surv., June, 2026

Hierarchical Reinforcement Learning for Cooperative Air-Ground Delivery in Urban System.

[BibT_eX]

[DOI]

CoRR, February, 2026

MacrOData: New Benchmarks of Thousands of Datasets for Tabular Outlier Detection.

[BibT_eX]

[DOI]

CoRR, February, 2026

From Zero to Hero: Advancing Zero-Shot Foundation Models for Tabular Outlier Detection.

[BibT_eX]

[DOI]

CoRR, February, 2026

FaST: Efficient and Effective Long-Horizon Forecasting for Large-Scale Spatial-Temporal Graphs via Mixture-of-Experts.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

Urban-R1: Reinforced MLLMs Mitigate Geospatial Biases for Urban General Intelligence.

[BibT_eX]

[DOI]

CoRR, October, 2025

TransferTraj: A Vehicle Trajectory Learning Model for Region and Task Transferability.

[BibT_eX]

[DOI]

CoRR, May, 2025

UniTE: A Survey and Unified Pipeline for Pre-Training Spatiotemporal Trajectory Embeddings.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., March, 2025

Vision-Enhanced Time Series Forecasting via Latent Diffusion Models.

[BibT_eX]

[DOI]

CoRR, February, 2025

FoMo-0D: A Foundation Model for Zero-shot Tabular Outlier Detection.

[BibT_eX]

[DOI]

Yuchen Shen

Haomin Wen

Leman Akoglu

Trans. Mach. Learn. Res., 2025

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

[BibT_eX]

[DOI]

Inf. Fusion, 2025

MRGRP: Empowering Courier Route Prediction in Food Delivery Service with Multi-Relational Graph.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

TrajCogn: Leveraging LLMs for Cognizing Movement Patterns and Travel Purposes from Trajectories.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Space-aware Socioeconomic Indicator Inference with Heterogeneous Graphs.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 2025

Uncertainty-aware Spatio-Temporal Human Mobility Modeling and Anomaly Detection.

[BibT_eX]

[DOI]

Haomin Wen

Shurui Cao

Zeeshan Rasheed

Khurram Hassan-Shafique

Leman Akoglu

Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 2025

CoBAD: Modeling Collective Behaviors for Human Mobility Anomaly Detection.

[BibT_eX]

[DOI]

Haomin Wen

Shurui Cao

Leman Akoglu

Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 2025

Embracing Large Language Models in Traffic Flow Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

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

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

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

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2024

DRL4AOI: A DRL Framework for Semantic-aware AOI Segmentation in Location-Based Services.

[BibT_eX]

[DOI]

CoRR, 2024

Uncertainty-aware Human Mobility Modeling and Anomaly Detection.

[BibT_eX]

[DOI]

Haomin Wen

Shurui Cao

Leman Akoglu

CoRR, 2024

Zero-shot Outlier Detection via Prior-data Fitted Networks: Model Selection Bygone!

[BibT_eX]

[DOI]

Yuchen Shen

Haomin Wen

Leman Akoglu

CoRR, 2024

TrajFM: A Vehicle Trajectory Foundation Model for Region and Task Transferability.

[BibT_eX]

[DOI]

CoRR, 2024

PTrajM: Efficient and Semantic-rich Trajectory Learning with Pretrained Trajectory-Mamba.

[BibT_eX]

[DOI]

CoRR, 2024

UniTE: A Survey and Unified Pipeline for Pre-training ST Trajectory Embeddings.

[BibT_eX]

[DOI]

CoRR, 2024

Learning Geospatial Region Embedding with Heterogeneous Graph.

[BibT_eX]

[DOI]

CoRR, 2024

PLM4Traj: Cognizing Movement Patterns and Travel Purposes from Trajectories with Pre-trained Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

A Survey on Diffusion Models for Time Series and Spatio-Temporal Data.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

OverleafCopilot: Empowering Academic Writing in Overleaf with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting.

[BibT_eX]

[DOI]

CoRR, 2024

Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook.

[BibT_eX]

[DOI]

CoRR, 2024

UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

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

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Foundation Models for Time Series Analysis: A Tutorial and Survey.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

A Momentum Contrastive Learning Framework for Query-POI Matching.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2024

G2PTL: A Geography-Graph Pre-trained Model.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., December, 2023

Spatial-Temporal Position-Aware Graph Convolution Networks for Traffic Flow Forecasting.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2023

When Urban Region Profiling Meets Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

G2PTL: A Pre-trained Model for Delivery Address and its Applications in Logistics System.

[BibT_eX]

[DOI]

CoRR, 2023

DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Context-aware Distance Measures for Dynamic Networks.

[BibT_eX]

[DOI]

ACM Trans. Web, 2022

Traffic Inflow and Outflow Forecasting by Modeling Intra- and Inter-Relationship Between Flows.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

DeepRoute+: Modeling Couriers' Spatial-temporal Behaviors and Decision Preferences for Package Pick-up Route Prediction.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2022

Graph2Route: A Dynamic Spatial-Temporal Graph Neural Network for Pick-up and Delivery Route Prediction.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2019

Rebuilding the Standing Prescription Renewal Orders.

[BibT_eX]

[DOI]

Appl. Clin. Inform., 2019

Haomin Wen

Timeline

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Links

On csauthors.net:

Bibliography

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