Rebuilding the Standing Prescription Renewal Orders. - Scott D. Nelson; Hayley Rector; Daniel Brashear; Janos L. Mathe; Haomin Wen; Stacey English; William Hedges; Christoph U. Lehmann; Asli O. Weitkamp; Shane P. Stenner (Appl. Clin. Inform., 2019)

Package Pick-up Route Prediction via Modeling Couriers' Spatial-Temporal Behaviors. - Haomin Wen; Youfang Lin; Fan Wu; Huaiyu Wan; Shengnan Guo 001; Lixia Wu; Chao Song; Yinghui Xu (ICDE, 2021)

Graph2Route: A Dynamic Spatial-Temporal Graph Neural Network for Pick-up and Delivery Route Prediction. - Haomin Wen; Youfang Lin; Xiaowei Mao; Fan Wu; Yiji Zhao; Haochen Wang; Jianbin Zheng 003; Lixia Wu; Haoyuan Hu; Huaiyu Wan (KDD, 2022)

DeepRoute+: Modeling Couriers' Spatial-temporal Behaviors and Decision Preferences for Package Pick-up Route Prediction. - Haomin Wen; Youfang Lin; Huaiyu Wan; Shengnan Guo 001; Fan Wu; Lixia Wu; Chao Song; Yinghui Xu (ACM Trans. Intell. Syst. Technol., 2022)

Traffic Inflow and Outflow Forecasting by Modeling Intra- and Inter-Relationship Between Flows. - Yiji Zhao; Youfang Lin; Yongkai Zhang; Haomin Wen; Yunxiao Liu; Hao Wu 010; Zhihao Wu 001; Shuaichao Zhang; Huaiyu Wan (IEEE Trans. Intell. Transp. Syst., 2022)

Context-aware Distance Measures for Dynamic Networks. - Yiji Zhao; Youfang Lin; Zhihao Wu 001; Yang Wang; Haomin Wen (ACM Trans. Web, 2022)

GMDNet: A Graph-Based Mixture Density Network for Estimating Packages' Multimodal Travel Time Distribution. - Xiaowei Mao; Huaiyu Wan; Haomin Wen; Fan Wu; Jianbin Zheng 003; Yuting Qiang; Shengnan Guo 001; Lixia Wu; Haoyuan Hu; Youfang Lin (AAAI, 2023)

DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models. - Haomin Wen; Youfang Lin; Yutong Xia; Huaiyu Wan; Qingsong Wen; Roger Zimmermann; Yuxuan Liang (SIGSPATIAL/GIS, 2023)

M2G4RTP: A Multi-Level and Multi-Task Graph Model for Instant-Logistics Route and Time Joint Prediction. - Tianyue Cai; Huaiyu Wan; Fan Wu; Haomin Wen; Shengnan Guo 001; Lixia Wu; Haoyuan Hu; Youfang Lin (ICDE, 2023)

Modeling Intra- and Inter-community Information for Route and Time Prediction in Last-mile Delivery. - Yuting Qiang; Haomin Wen; Lixia Wu; Xiaowei Mao; Fan Wu; Huaiyu Wan; Haoyuan Hu (ICDE, 2023)

DRL4Route: A Deep Reinforcement Learning Framework for Pick-up and Delivery Route Prediction. - Xiaowei Mao; Haomin Wen; Hengrui Zhang; Huaiyu Wan; Lixia Wu; Jianbin Zheng 003; Haoyuan Hu; Youfang Lin (KDD, 2023)

Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment. - Yutong Xia; Yuxuan Liang; Haomin Wen; Xu Liu 014; Kun Wang 042; Zhengyang Zhou; Roger Zimmermann (NeurIPS, 2023)

DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models. - Haomin Wen; Youfang Lin; Yutong Xia; Huaiyu Wan; Roger Zimmermann; Yuxuan Liang (CoRR, 2023)

G2PTL: A Pre-trained Model for Delivery Address and its Applications in Logistics System. - Lixia Wu; Jianlin Liu; Junhong Lou; Haoyuan Hu; Jianbin Zheng 003; Haomin Wen; Chao Song; Shu He (CoRR, 2023)

LaDe: The First Comprehensive Last-mile Delivery Dataset from Industry. - Lixia Wu; Haomin Wen; Haoyuan Hu; Xiaowei Mao; Yutong Xia; Ergang Shan; Jianbin Zheng 003; Junhong Lou; Yuxuan Liang; Liuqing Yang 001; Roger Zimmermann; Youfang Lin; et al. (CoRR, 2023)

When Urban Region Profiling Meets Large Language Models. - Yibo Yan; Haomin Wen; Siru Zhong; Wei Chen 070; Haodong Chen; Qingsong Wen; Roger Zimmermann; Yuxuan Liang (CoRR, 2023)

Enough Waiting for the Couriers: Learning to Estimate Package Pick-up Arrival Time from Couriers' Spatial-Temporal Behaviors. - Haomin Wen; Youfang Lin; Fan Wu; Huaiyu Wan; Zhongxiang Sun; Tianyue Cai; Hongyu Liu 003; Shengnan Guo 001; Jianbin Zheng 003; Chao Song; Lixia Wu (ACM Trans. Intell. Syst. Technol., 2023)

Spatial-Temporal Position-Aware Graph Convolution Networks for Traffic Flow Forecasting. - Yiji Zhao; Youfang Lin; Haomin Wen; Tonglong Wei; Xiyuan Jin; Huaiyu Wan (IEEE Trans. Intell. Transp. Syst., 2023)

Modeling Spatial-Temporal Constraints and Spatial-Transfer Patterns for Couriers' Package Pick-up Route Prediction. - Haomin Wen; Youfang Lin; Yuxuan Hu; Fan Wu; Mingxuan Xia; Xinyi Zhang; Lixia Wu; Haoyuan Hu; Huaiyu Wan (IEEE Trans. Intell. Transp. Syst., 2023)

G2PTL: A Geography-Graph Pre-trained Model. - Lixia Wu; Jianlin Liu; Junhong Lou; Minhui Deng; Jianbin Zheng 003; Haomin Wen; Chao Song; Shu He (CIKM, 2024)

A Momentum Contrastive Learning Framework for Query-POI Matching. - Yuting Qiang; Jianbing Zheng 002; Lixia Wu; Haomin Wen; Junhong Lou; Minhui Deng (ICDM, 2024)

Foundation Models for Time Series Analysis: A Tutorial and Survey. - Yuxuan Liang; Haomin Wen; Yuqi Nie; Yushan Jiang; Ming Jin 005; Dongjin Song; Shirui Pan; Qingsong Wen (KDD, 2024)

LaDe: The First Comprehensive Last-mile Express Dataset from Industry. - Lixia Wu; Haomin Wen; Haoyuan Hu; Xiaowei Mao; Yutong Xia; Ergang Shan; Jianbin Zheng 003; Junhong Lou; Yuxuan Liang; Liuqing Yang 001; Roger Zimmermann; Youfang Lin; et al. (KDD, 2024)

UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web. - Yibo Yan; Haomin Wen; Siru Zhong; Wei Chen 070; Haodong Chen; Qingsong Wen; Roger Zimmermann; Yuxuan Liang (WWW, 2024)

Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook. - Xingchen Zou; Yibo Yan; Xixuan Hao; Yuehong Hu; Haomin Wen; Erdong Liu; Junbo Zhang; Yong Li 008; Tianrui Li 001; Yu Zheng 010; Yuxuan Liang (CoRR, 2024)

DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting. - Hao Wu 094; Haomin Wen; Guibin Zhang; Yutong Xia; Kai Wang 036; Yuxuan Liang; Yu Zheng 004; Kun Wang 056 (CoRR, 2024)

OverleafCopilot: Empowering Academic Writing in Overleaf with Large Language Models. - Haomin Wen; Zhenjie Wei; Yan Lin 006; Jiyuan Wang 001; Yuxuan Liang; Huaiyu Wan (CoRR, 2024)

Deep Learning for Trajectory Data Management and Mining: A Survey and Beyond. - Wei Chen 070; Yuxuan Liang; Yuanshao Zhu; Yanchuan Chang; Kang Luo; Haomin Wen; Lei Li 003; Yanwei Yu; Qingsong Wen; Chao Chen 004; Kai Zheng 001; Yunjun Gao; et al. (CoRR, 2024)

A Survey on Diffusion Models for Time Series and Spatio-Temporal Data. - Yiyuan Yang; Ming Jin 005; Haomin Wen; Chaoli Zhang 001; Yuxuan Liang; Lintao Ma; Yi Wang 022; Chenghao Liu; Bin Yang 002; Zenglin Xu; Jiang Bian 001; Shirui Pan; et al. (CoRR, 2024)

PLM4Traj: Cognizing Movement Patterns and Travel Purposes from Trajectories with Pre-trained Language Models. - Zeyu Zhou 001; Yan Lin 006; Haomin Wen; Shengnan Guo 001; Jilin Hu; Youfang Lin; Huaiyu Wan (CoRR, 2024)

Learning Geospatial Region Embedding with Heterogeneous Graph. - Xingchen Zou; Jiani Huang 001; Xixuan Hao; Yuhao Yang; Haomin Wen; Yibo Yan; Chao Huang; Yuxuan Liang (CoRR, 2024)

UniTE: A Survey and Unified Pipeline for Pre-training ST Trajectory Embeddings. - Yan Lin 006; Zeyu Zhou 001; Yichen Liu 003; Haochen Lv 001; Haomin Wen; Tianyi Li 005; Yushuai Li; Christian S. Jensen; Shengnan Guo 001; Youfang Lin; Huaiyu Wan (CoRR, 2024)

PTrajM: Efficient and Semantic-rich Trajectory Learning with Pretrained Trajectory-Mamba. - Yan Lin 006; Yichen Liu 003; Zeyu Zhou 001; Haomin Wen; Erwen Zheng; Shengnan Guo 001; Youfang Lin; Huaiyu Wan (CoRR, 2024)

TrajFM: A Vehicle Trajectory Foundation Model for Region and Task Transferability. - Yan Lin 006; Tonglong Wei; Zeyu Zhou 001; Haomin Wen; Jilin Hu; Shengnan Guo 001; Youfang Lin; Huaiyu Wan (CoRR, 2024)

Zero-shot Outlier Detection via Prior-data Fitted Networks: Model Selection Bygone! - Yuchen Shen; Haomin Wen; Leman Akoglu (CoRR, 2024)

Uncertainty-aware Human Mobility Modeling and Anomaly Detection. - Haomin Wen; Shurui Cao; Leman Akoglu (CoRR, 2024)

DRL4AOI: A DRL Framework for Semantic-aware AOI Segmentation in Location-Based Services. - Youfang Lin; Jinji Fu; Haomin Wen; Jiyuan Wang 001; Zhenjie Wei; Yuting Qiang; Xiaowei Mao; Lixia Wu; Haoyuan Hu; Yuxuan Liang; Huaiyu Wan (CoRR, 2024)

A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects. - Haomin Wen; Youfang Lin; Lixia Wu; Xiaowei Mao; Tianyue Cai; Yunfeng Hou; Shengnan Guo 001; Yuxuan Liang; Guangyin Jin; Yiji Zhao; Roger Zimmermann; Jieping Ye; et al. (IEEE Trans. Knowl. Data Eng., 2024)

DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation. - Xiaowei Mao; Yan Lin 006; Shengnan Guo 001; Yubin Chen; Xingyu Xian; Haomin Wen; Qisen Xu; Youfang Lin; Huaiyu Wan (AAAI, 2025)

Embracing Large Language Models in Traffic Flow Forecasting. - Yusheng Zhao; Xiao Luo 001; Haomin Wen; Zhiping Xiao 001; Wei Ju 001; Ming Zhang 004 (ACL (Findings), 2025)

DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting. - Hao Wu 094; Haomin Wen; Guibin Zhang; Yutong Xia; Yuxuan Liang; Yu Zheng 004; Qingsong Wen; Kun Wang 056 (KDD (1), 2025)

MRGRP: Empowering Courier Route Prediction in Food Delivery Service with Multi-Relational Graph. - Chang Liu 092; Huan Yan; Hongjie Sui; Haomin Wen; Yuan Yuan 032; Yuyang Han; Hongsen Liao; Xuetao Ding; Jinghua Hao; Yong Li 008 (WWW (Companion Volume), 2025)

Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook. - Xingchen Zou; Yibo Yan; Xixuan Hao; Yuehong Hu; Haomin Wen; Erdong Liu; Junbo Zhang; Yong Li 008; Tianrui Li 001; Yu Zheng; Yuxuan Liang (Inf. Fusion, 2025)

Vision-Enhanced Time Series Forecasting via Latent Diffusion Models. - Weilin Ruan; Siru Zhong; Haomin Wen; Yuxuan Liang (CoRR, 2025)

Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey. - Yuxuan Liang; Haomin Wen; Yutong Xia; Ming Jin 005; Bin Yang 002; Flora Salim; Qingsong Wen; Shirui Pan; Gao Cong (CoRR, 2025)

UniTE: A Survey and Unified Pipeline for Pre-Training Spatiotemporal Trajectory Embeddings. - Yan Lin 006; Zeyu Zhou 001; Yichen Liu 003; Haochen Lv 001; Haomin Wen; Tianyi Li 005; Yushuai Li; Christian S. Jensen; Shengnan Guo 001; Youfang Lin; Huaiyu Wan (IEEE Trans. Knowl. Data Eng., 2025)

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models. - Yunfeng Ge; Jiawei Li 017; Yiji Zhao; Haomin Wen; Zhao Li 007; Meikang Qiu; Hongyan Li; Ming Jin 005; Shirui Pan (CoRR, 2025)

TransferTraj: A Vehicle Trajectory Learning Model for Region and Task Transferability. - Tonglong Wei; Yan Lin 006; Zeyu Zhou 001; Haomin Wen; Jilin Hu; Shengnan Guo 001; Youfang Lin; Gao Cong; Huaiyu Wan (CoRR, 2025)

CoBAD: Modeling Collective Behaviors for Human Mobility Anomaly Detection. - Haomin Wen; Shurui Cao; Leman Akoglu (CoRR, 2025)