Haomin Wen - RankMe

70 papers A* 14A 1Journal 46Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey on Diffusion Models for Time Series and Spatio-Temporal Data. ACM Comput. Surv. Yiyuan Yang, Ming Jin, Haomin Wen, Chaoli Zhang, Yuxuan Liang, Lintao Ma, Yi Wang, Chenghao Liu, Bin Yang, Zenglin Xu, Shirui Pan, Qingsong Wen
2026	—	`conf`	FaST: Efficient and Effective Long-Horizon Forecasting for Large-Scale Spatial-Temporal Graphs via Mixture-of-Experts. KDD (1) Yiji Zhao, Zihao Zhong, Ao Wang, Haomin Wen, Ming Jin, Yuxuan Liang, Huaiyu Wan, Hao Wu
2026	J	`jnl`	FaST: Efficient and Effective Long-Horizon Forecasting for Large-Scale Spatial-Temporal Graphs via Mixture-of-Experts. CoRR Yiji Zhao, Zihao Zhong, Ao Wang, Haomin Wen, Ming Jin, Yuxuan Liang, Huaiyu Wan, Hao Wu
2026	J	`jnl`	From Zero to Hero: Advancing Zero-Shot Foundation Models for Tabular Outlier Detection. CoRR Xueying Ding, Haomin Wen, Simon Klütterman, Leman Akoglu
2026	J	`jnl`	Hierarchical Reinforcement Learning for Cooperative Air-Ground Delivery in Urban System. CoRR Songxin Lei, Chunming Ma, Haomin Wen, Yexin Li, Lizhenghe Chen, Qianyu Yang, Fugee Tsung, Lei Chen, Sijie Ruan, Yuxuan Liang
2026	J	`jnl`	MacrOData: New Benchmarks of Thousands of Datasets for Tabular Outlier Detection. CoRR Xueying Ding, Simon Klütterman, Haomin Wen, Yilong Chen, Leman Akoglu
2025	—	`conf`	CoBAD: Modeling Collective Behaviors for Human Mobility Anomaly Detection. SIGSPATIAL/GIS Haomin Wen, Shurui Cao, Leman Akoglu
2025	J	`jnl`	CoBAD: Modeling Collective Behaviors for Human Mobility Anomaly Detection. CoRR Haomin Wen, Shurui Cao, Leman Akoglu
2025	J	`jnl`	Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook. Inf. Fusion Xingchen Zou, Yibo Yan, Xixuan Hao, Yuehong Hu, Haomin Wen, Erdong Liu, Junbo Zhang, Yong Li, Tianrui Li, Yu Zheng, Yuxuan Liang
2025	A*	`conf`	DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation. AAAI Xiaowei Mao, Yan Lin, Shengnan Guo, Yubin Chen, Xingyu Xian, Haomin Wen, Qisen Xu, Youfang Lin, Huaiyu Wan
2025	—	`conf`	DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting. KDD (1) Hao Wu, Haomin Wen, Guibin Zhang, Yutong Xia, Yuxuan Liang, Yu Zheng, Qingsong Wen, Kun Wang
2025	—	`conf`	Embracing Large Language Models in Traffic Flow Forecasting. ACL (Findings) Yusheng Zhao, Xiao Luo, Haomin Wen, Zhiping Xiao, Wei Ju, Ming Zhang
2025	J	`jnl`	FoMo-0D: A Foundation Model for Zero-shot Tabular Outlier Detection. Trans. Mach. Learn. Res. Yuchen Shen, Haomin Wen, Leman Akoglu
2025	—	`conf`	Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey. KDD (2) Yuxuan Liang, Haomin Wen, Yutong Xia, Ming Jin, Bin Yang, Flora Salim, Qingsong Wen, Shirui Pan, Gao Cong
2025	J	`jnl`	Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey. CoRR Yuxuan Liang, Haomin Wen, Yutong Xia, Ming Jin, Bin Yang, Flora Salim, Qingsong Wen, Shirui Pan, Gao Cong
2025	—	`conf`	MRGRP: Empowering Courier Route Prediction in Food Delivery Service with Multi-Relational Graph. WWW (Companion Volume) Chang Liu, Huan Yan, Hongjie Sui, Haomin Wen, Yuan Yuan, Yuyang Han, Hongsen Liao, Xuetao Ding, Jinghua Hao, Yong Li
2025	J	`jnl`	MRGRP: Empowering Courier Route Prediction in Food Delivery Service with Multi-Relational Graph. CoRR Chang Liu, Huan Yan, Hongjie Sui, Haomin Wen, Yuan Yuan, Yuyang Han, Hongsen Liao, Xuetao Ding, Jinghua Hao, Yong Li
2025	—	`conf`	Space-aware Socioeconomic Indicator Inference with Heterogeneous Graphs. SIGSPATIAL/GIS Xingchen Zou, Jiani Huang, Xixuan Hao, Yuhao Yang, Haomin Wen, Yibo Yan, Chao Huang, Chao Chen, Yuxuan Liang
2025	A*	`conf`	T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models. IJCAI Yunfeng Ge, Jiawei Li, Yiji Zhao, Haomin Wen, Zhao Li, Meikang Qiu, Hongyan Li, Ming Jin, Shirui Pan
2025	J	`jnl`	T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models. CoRR Yunfeng Ge, Jiawei Li, Yiji Zhao, Haomin Wen, Zhao Li, Meikang Qiu, Hongyan Li, Ming Jin, Shirui Pan
2025	A*	`conf`	TrajCogn: Leveraging LLMs for Cognizing Movement Patterns and Travel Purposes from Trajectories. IJCAI Zeyu Zhou, Yan Lin, Haomin Wen, Shengnan Guo, Jilin Hu, Youfang Lin, Huaiyu Wan
2025	J	`jnl`	TransferTraj: A Vehicle Trajectory Learning Model for Region and Task Transferability. CoRR Tonglong Wei, Yan Lin, Zeyu Zhou, Haomin Wen, Jilin Hu, Shengnan Guo, Youfang Lin, Gao Cong, Huaiyu Wan
2025	—	`conf`	Uncertainty-aware Spatio-Temporal Human Mobility Modeling and Anomaly Detection. SIGSPATIAL/GIS Haomin Wen, Shurui Cao, Zeeshan Rasheed, Khurram Hassan-Shafique, Leman Akoglu
2025	J	`jnl`	UniTE: A Survey and Unified Pipeline for Pre-Training Spatiotemporal Trajectory Embeddings. IEEE Trans. Knowl. Data Eng. Yan Lin, Zeyu Zhou, Yichen Liu, Haochen Lv, Haomin Wen, Tianyi Li, Yushuai Li, Christian S. Jensen, Shengnan Guo, Youfang Lin, Huaiyu Wan
2025	J	`jnl`	Urban-R1: Reinforced MLLMs Mitigate Geospatial Biases for Urban General Intelligence. CoRR Qiongyan Wang, Xingchen Zou, Yutian Jiang, Haomin Wen, Jiaheng Wei, Qingsong Wen, Yuxuan Liang
2025	J	`jnl`	Vision-Enhanced Time Series Forecasting via Latent Diffusion Models. CoRR Weilin Ruan, Siru Zhong, Haomin Wen, Yuxuan Liang
2024	A*	`conf`	A Momentum Contrastive Learning Framework for Query-POI Matching. ICDM Yuting Qiang, Jianbing Zheng, Lixia Wu, Haomin Wen, Junhong Lou, Minhui Deng
2024	J	`jnl`	A Survey on Diffusion Models for Time Series and Spatio-Temporal Data. CoRR Yiyuan Yang, Ming Jin, Haomin Wen, Chaoli Zhang, Yuxuan Liang, Lintao Ma, Yi Wang, Chenghao Liu, Bin Yang, Zenglin Xu, Jiang Bian, Shirui Pan, Qingsong Wen
2024	J	`jnl`	A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects. IEEE Trans. Knowl. Data Eng. Haomin Wen, Youfang Lin, Lixia Wu, Xiaowei Mao, Tianyue Cai, Yunfeng Hou, Shengnan Guo, Yuxuan Liang, Guangyin Jin, Yiji Zhao, Roger Zimmermann, Jieping Ye, Huaiyu Wan
2024	J	`jnl`	DRL4AOI: A DRL Framework for Semantic-aware AOI Segmentation in Location-Based Services. CoRR Youfang Lin, Jinji Fu, Haomin Wen, Jiyuan Wang, Zhenjie Wei, Yuting Qiang, Xiaowei Mao, Lixia Wu, Haoyuan Hu, Yuxuan Liang, Huaiyu Wan
2024	J	`jnl`	Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook. CoRR Xingchen Zou, Yibo Yan, Xixuan Hao, Yuehong Hu, Haomin Wen, Erdong Liu, Junbo Zhang, Yong Li, Tianrui Li, Yu Zheng, Yuxuan Liang
2024	J	`jnl`	Deep Learning for Trajectory Data Management and Mining: A Survey and Beyond. CoRR Wei Chen, Yuxuan Liang, Yuanshao Zhu, Yanchuan Chang, Kang Luo, Haomin Wen, Lei Li, Yanwei Yu, Qingsong Wen, Chao Chen, Kai Zheng, Yunjun Gao, Xiaofang Zhou, Yu Zheng
2024	J	`jnl`	DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation. CoRR Xiaowei Mao, Yan Lin, Shengnan Guo, Yubin Chen, Xingyu Xian, Haomin Wen, Qisen Xu, Youfang Lin, Huaiyu Wan
2024	J	`jnl`	DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting. CoRR Hao Wu, Haomin Wen, Guibin Zhang, Yutong Xia, Kai Wang, Yuxuan Liang, Yu Zheng, Kun Wang
2024	J	`jnl`	Embracing Large Language Models in Traffic Flow Forecasting. CoRR Yusheng Zhao, Xiao Luo, Haomin Wen, Zhiping Xiao, Wei Ju, Ming Zhang
2024	A*	`conf`	Foundation Models for Time Series Analysis: A Tutorial and Survey. KDD Yuxuan Liang, Haomin Wen, Yuqi Nie, Yushan Jiang, Ming Jin, Dongjin Song, Shirui Pan, Qingsong Wen
2024	J	`jnl`	Foundation Models for Time Series Analysis: A Tutorial and Survey. CoRR Yuxuan Liang, Haomin Wen, Yuqi Nie, Yushan Jiang, Ming Jin, Dongjin Song, Shirui Pan, Qingsong Wen
2024	A	`conf`	G2PTL: A Geography-Graph Pre-trained Model. CIKM Lixia Wu, Jianlin Liu, Junhong Lou, Minhui Deng, Jianbin Zheng, Haomin Wen, Chao Song, Shu He
2024	A*	`conf`	LaDe: The First Comprehensive Last-mile Express Dataset from Industry. KDD Lixia Wu, Haomin Wen, Haoyuan Hu, Xiaowei Mao, Yutong Xia, Ergang Shan, Jianbin Zheng, Junhong Lou, Yuxuan Liang, Liuqing Yang, Roger Zimmermann, Youfang Lin, Huaiyu Wan
2024	J	`jnl`	Learning Geospatial Region Embedding with Heterogeneous Graph. CoRR Xingchen Zou, Jiani Huang, Xixuan Hao, Yuhao Yang, Haomin Wen, Yibo Yan, Chao Huang, Yuxuan Liang
2024	J	`jnl`	OverleafCopilot: Empowering Academic Writing in Overleaf with Large Language Models. CoRR Haomin Wen, Zhenjie Wei, Yan Lin, Jiyuan Wang, Yuxuan Liang, Huaiyu Wan
2024	J	`jnl`	PLM4Traj: Cognizing Movement Patterns and Travel Purposes from Trajectories with Pre-trained Language Models. CoRR Zeyu Zhou, Yan Lin, Haomin Wen, Shengnan Guo, Jilin Hu, Youfang Lin, Huaiyu Wan
2024	J	`jnl`	PTrajM: Efficient and Semantic-rich Trajectory Learning with Pretrained Trajectory-Mamba. CoRR Yan Lin, Yichen Liu, Zeyu Zhou, Haomin Wen, Erwen Zheng, Shengnan Guo, Youfang Lin, Huaiyu Wan
2024	J	`jnl`	TrajFM: A Vehicle Trajectory Foundation Model for Region and Task Transferability. CoRR Yan Lin, Tonglong Wei, Zeyu Zhou, Haomin Wen, Jilin Hu, Shengnan Guo, Youfang Lin, Huaiyu Wan
2024	J	`jnl`	Uncertainty-aware Human Mobility Modeling and Anomaly Detection. CoRR Haomin Wen, Shurui Cao, Leman Akoglu
2024	J	`jnl`	UniTE: A Survey and Unified Pipeline for Pre-training ST Trajectory Embeddings. CoRR Yan Lin, Zeyu Zhou, Yichen Liu, Haochen Lv, Haomin Wen, Tianyi Li, Yushuai Li, Christian S. Jensen, Shengnan Guo, Youfang Lin, Huaiyu Wan
2024	A*	`conf`	UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web. WWW Yibo Yan, Haomin Wen, Siru Zhong, Wei Chen, Haodong Chen, Qingsong Wen, Roger Zimmermann, Yuxuan Liang
2024	J	`jnl`	Zero-shot Outlier Detection via Prior-data Fitted Networks: Model Selection Bygone! CoRR Yuchen Shen, Haomin Wen, Leman Akoglu
2023	J	`jnl`	A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects. CoRR Haomin Wen, Youfang Lin, Lixia Wu, Xiaowei Mao, Tianyue Cai, Yunfeng Hou, Shengnan Guo, Yuxuan Liang, Guangyin Jin, Yiji Zhao, Roger Zimmermann, Jieping Ye, Huaiyu Wan
2023	A*	`conf`	DRL4Route: A Deep Reinforcement Learning Framework for Pick-up and Delivery Route Prediction. KDD Xiaowei Mao, Haomin Wen, Hengrui Zhang, Huaiyu Wan, Lixia Wu, Jianbin Zheng, Haoyuan Hu, Youfang Lin
2023	J	`jnl`	DRL4Route: A Deep Reinforcement Learning Framework for Pick-up and Delivery Route Prediction. CoRR Xiaowei Mao, Haomin Wen, Hengrui Zhang, Huaiyu Wan, Lixia Wu, Jianbin Zheng, Haoyuan Hu, Youfang Lin
2023	A*	`conf`	Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment. NeurIPS Yutong Xia, Yuxuan Liang, Haomin Wen, Xu Liu, Kun Wang, Zhengyang Zhou, Roger Zimmermann
2023	J	`jnl`	Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment. CoRR Yutong Xia, Yuxuan Liang, Haomin Wen, Xu Liu, Kun Wang, Zhengyang Zhou, Roger Zimmermann
2023	—	`conf`	DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models. SIGSPATIAL/GIS Haomin Wen, Youfang Lin, Yutong Xia, Huaiyu Wan, Qingsong Wen, Roger Zimmermann, Yuxuan Liang
2023	J	`jnl`	DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models. CoRR Haomin Wen, Youfang Lin, Yutong Xia, Huaiyu Wan, Roger Zimmermann, Yuxuan Liang
2023	J	`jnl`	Enough Waiting for the Couriers: Learning to Estimate Package Pick-up Arrival Time from Couriers' Spatial-Temporal Behaviors. ACM Trans. Intell. Syst. Technol. Haomin Wen, Youfang Lin, Fan Wu, Huaiyu Wan, Zhongxiang Sun, Tianyue Cai, Hongyu Liu, Shengnan Guo, Jianbin Zheng, Chao Song, Lixia Wu
2023	J	`jnl`	G2PTL: A Pre-trained Model for Delivery Address and its Applications in Logistics System. CoRR Lixia Wu, Jianlin Liu, Junhong Lou, Haoyuan Hu, Jianbin Zheng, Haomin Wen, Chao Song, Shu He
2023	A*	`conf`	GMDNet: A Graph-Based Mixture Density Network for Estimating Packages' Multimodal Travel Time Distribution. AAAI Xiaowei Mao, Huaiyu Wan, Haomin Wen, Fan Wu, Jianbin Zheng, Yuting Qiang, Shengnan Guo, Lixia Wu, Haoyuan Hu, Youfang Lin
2023	J	`jnl`	LaDe: The First Comprehensive Last-mile Delivery Dataset from Industry. CoRR Lixia Wu, Haomin Wen, Haoyuan Hu, Xiaowei Mao, Yutong Xia, Ergang Shan, Jianbin Zheng, Junhong Lou, Yuxuan Liang, Liuqing Yang, Roger Zimmermann, Youfang Lin, Huaiyu Wan
2023	A*	`conf`	M ICDE Tianyue Cai, Huaiyu Wan, Fan Wu, Haomin Wen, Shengnan Guo, Lixia Wu, Haoyuan Hu, Youfang Lin
2023	A*	`conf`	Modeling Intra- and Inter-community Information for Route and Time Prediction in Last-mile Delivery. ICDE Yuting Qiang, Haomin Wen, Lixia Wu, Xiaowei Mao, Fan Wu, Huaiyu Wan, Haoyuan Hu
2023	J	`jnl`	Modeling Spatial-Temporal Constraints and Spatial-Transfer Patterns for Couriers' Package Pick-up Route Prediction. IEEE Trans. Intell. Transp. Syst. Haomin Wen, Youfang Lin, Yuxuan Hu, Fan Wu, Mingxuan Xia, Xinyi Zhang, Lixia Wu, Haoyuan Hu, Huaiyu Wan
2023	J	`jnl`	Spatial-Temporal Position-Aware Graph Convolution Networks for Traffic Flow Forecasting. IEEE Trans. Intell. Transp. Syst. Yiji Zhao, Youfang Lin, Haomin Wen, Tonglong Wei, Xiyuan Jin, Huaiyu Wan
2023	J	`jnl`	When Urban Region Profiling Meets Large Language Models. CoRR Yibo Yan, Haomin Wen, Siru Zhong, Wei Chen, Haodong Chen, Qingsong Wen, Roger Zimmermann, Yuxuan Liang
2022	J	`jnl`	Context-aware Distance Measures for Dynamic Networks. ACM Trans. Web Yiji Zhao, Youfang Lin, Zhihao Wu, Yang Wang, Haomin Wen
2022	J	`jnl`	DeepRoute+: Modeling Couriers' Spatial-temporal Behaviors and Decision Preferences for Package Pick-up Route Prediction. ACM Trans. Intell. Syst. Technol. Haomin Wen, Youfang Lin, Huaiyu Wan, Shengnan Guo, Fan Wu, Lixia Wu, Chao Song, Yinghui Xu
2022	A*	`conf`	Graph2Route: A Dynamic Spatial-Temporal Graph Neural Network for Pick-up and Delivery Route Prediction. KDD Haomin Wen, Youfang Lin, Xiaowei Mao, Fan Wu, Yiji Zhao, Haochen Wang, Jianbin Zheng, Lixia Wu, Haoyuan Hu, Huaiyu Wan
2022	J	`jnl`	Traffic Inflow and Outflow Forecasting by Modeling Intra- and Inter-Relationship Between Flows. IEEE Trans. Intell. Transp. Syst. Yiji Zhao, Youfang Lin, Yongkai Zhang, Haomin Wen, Yunxiao Liu, Hao Wu, Zhihao Wu, Shuaichao Zhang, Huaiyu Wan
2021	A*	`conf`	Package Pick-up Route Prediction via Modeling Couriers' Spatial-Temporal Behaviors. ICDE Haomin Wen, Youfang Lin, Fan Wu, Huaiyu Wan, Shengnan Guo, Lixia Wu, Chao Song, Yinghui Xu
2019	J	`jnl`	Rebuilding the Standing Prescription Renewal Orders. Appl. Clin. Inform. 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