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Haomin Wen
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2020 – today
- 2025
- [j9]Xingchen Zou
, Yibo Yan, Xixuan Hao, Yuehong Hu, Haomin Wen, Erdong Liu, Junbo Zhang, Yong Li, Tianrui Li, Yu Zheng, Yuxuan Liang
Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook. Inf. Fusion 113: 102606 (2025) - 2024
- [j8]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:
A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects. IEEE Trans. Knowl. Data Eng. 36(12): 7516-7535 (2024) - [c12]Lixia Wu
G2PTL: A Geography-Graph Pre-trained Model. CIKM 2024: 4991-4999 - [c11]Lixia Wu
LaDe: The First Comprehensive Last-mile Express Dataset from Industry. KDD 2024: 5991-6002 - [c10]Yuxuan Liang
Foundation Models for Time Series Analysis: A Tutorial and Survey. KDD 2024: 6555-6565 - [c9]Yibo Yan
UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web. WWW 2024: 4006-4017 - [i21]Xingchen Zou, Yibo Yan, Xixuan Hao, Yuehong Hu, Haomin Wen, Erdong Liu, Junbo Zhang, Yong Li, Tianrui Li, Yu Zheng, Yuxuan Liang:
Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook. CoRR abs/2402.19348 (2024) - [i20]Hao Wu, Haomin Wen, Guibin Zhang, Yutong Xia, Kai Wang, Yuxuan Liang, Yu Zheng, Kun Wang:
DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting. CoRR abs/2403.02914 (2024) - [i19]Haomin Wen, Zhenjie Wei, Yan Lin, Jiyuan Wang, Yuxuan Liang, Huaiyu Wan:
OverleafCopilot: Empowering Academic Writing in Overleaf with Large Language Models. CoRR abs/2403.09733 (2024) - [i18]Wei Chen, Yuxuan Liang, Yuanshao Zhu, Yanchuan Chang, Kang Luo, Haomin Wen, Lei Li, Yanwei Yu, Qingsong Wen
Deep Learning for Trajectory Data Management and Mining: A Survey and Beyond. CoRR abs/2403.14151 (2024) - [i17]Yuxuan Liang, Haomin Wen, Yuqi Nie, Yushan Jiang, Ming Jin, Dongjin Song, Shirui Pan, Qingsong Wen
Foundation Models for Time Series Analysis: A Tutorial and Survey. CoRR abs/2403.14735 (2024) - [i16]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
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data. CoRR abs/2404.18886 (2024) - [i15]Zeyu Zhou, Yan Lin, Haomin Wen, Shengnan Guo, Jilin Hu, Youfang Lin, Huaiyu Wan:
PLM4Traj: Cognizing Movement Patterns and Travel Purposes from Trajectories with Pre-trained Language Models. CoRR abs/2405.12459 (2024) - [i14]Xingchen Zou, Jiani Huang, Xixuan Hao, Yuhao Yang, Haomin Wen, Yibo Yan, Chao Huang, Yuxuan Liang:
Learning Geospatial Region Embedding with Heterogeneous Graph. CoRR abs/2405.14135 (2024) - [i13]Yan Lin, Zeyu Zhou, Yicheng Liu, Haochen Lv, Haomin Wen, Tianyi Li, Yushuai Li, Christian S. Jensen, Shengnan Guo, Youfang Lin, Huaiyu Wan:
UniTE: A Survey and Unified Pipeline for Pre-training ST Trajectory Embeddings. CoRR abs/2407.12550 (2024) - [i12]Yan Lin, Yicheng Liu, Zeyu Zhou, Haomin Wen, Erwen Zheng, Shengnan Guo, Youfang Lin, Huaiyu Wan:
PTrajM: Efficient and Semantic-rich Trajectory Learning with Pretrained Trajectory-Mamba. CoRR abs/2408.04916 (2024) - [i11]Xiaowei Mao, Yan Lin, Shengnan Guo, Yubin Chen, Xingyu Xian, Haomin Wen, Qisen Xu, Youfang Lin, Huaiyu Wan:
DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation. CoRR abs/2408.12809 (2024) - [i10]Yan Lin, Tonglong Wei, Zeyu Zhou, Haomin Wen, Jilin Hu, Shengnan Guo, Youfang Lin, Huaiyu Wan:
TrajFM: A Vehicle Trajectory Foundation Model for Region and Task Transferability. CoRR abs/2408.15251 (2024) - [i9]Yuchen Shen, Haomin Wen, Leman Akoglu:
Zero-shot Outlier Detection via Prior-data Fitted Networks: Model Selection Bygone! CoRR abs/2409.05672 (2024) - [i8]Haomin Wen, Shurui Cao, Leman Akoglu:
Uncertainty-aware Human Mobility Modeling and Anomaly Detection. CoRR abs/2410.01281 (2024) - 2023
- [j7]Haomin Wen
Enough Waiting for the Couriers: Learning to Estimate Package Pick-up Arrival Time from Couriers' Spatial-Temporal Behaviors. ACM Trans. Intell. Syst. Technol. 14(3): 50:1-50:22 (2023) - [j6]Yiji Zhao
Spatial-Temporal Position-Aware Graph Convolution Networks for Traffic Flow Forecasting. IEEE Trans. Intell. Transp. Syst. 24(8): 8650-8666 (2023) - [j5]Haomin Wen
Modeling Spatial-Temporal Constraints and Spatial-Transfer Patterns for Couriers' Package Pick-up Route Prediction. IEEE Trans. Intell. Transp. Syst. 24(12): 13787-13800 (2023) - [c8]Xiaowei Mao, Huaiyu Wan, Haomin Wen, Fan Wu, Jianbin Zheng, Yuting Qiang, Shengnan Guo, Lixia Wu, Haoyuan Hu, Youfang Lin:
GMDNet: A Graph-Based Mixture Density Network for Estimating Packages' Multimodal Travel Time Distribution. AAAI 2023: 4561-4568 - [c7]Haomin Wen
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models. SIGSPATIAL/GIS 2023: 60:1-60:12 - [c6]Yuting Qiang, Haomin Wen, Lixia Wu, Xiaowei Mao, Fan Wu, Huaiyu Wan, Haoyuan Hu:
Modeling Intra- and Inter-community Information for Route and Time Prediction in Last-mile Delivery. ICDE 2023: 3106-3112 - [c5]Tianyue Cai, Huaiyu Wan, Fan Wu, Haomin Wen, Shengnan Guo, Lixia Wu, Haoyuan Hu, Youfang Lin:
M2G4RTP: A Multi-Level and Multi-Task Graph Model for Instant-Logistics Route and Time Joint Prediction. ICDE 2023: 3296-3308 - [c4]Xiaowei Mao
DRL4Route: A Deep Reinforcement Learning Framework for Pick-up and Delivery Route Prediction. KDD 2023: 4628-4637 - [c3]Yutong Xia, Yuxuan Liang, Haomin Wen, Xu Liu, Kun Wang, Zhengyang Zhou, Roger Zimmermann:
Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment. NeurIPS 2023 - [i7]Haomin Wen, Youfang Lin, Yutong Xia, Huaiyu Wan, Roger Zimmermann, Yuxuan Liang:
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models. CoRR abs/2301.13629 (2023) - [i6]Lixia Wu, Jianlin Liu, Junhong Lou, Haoyuan Hu, Jianbin Zheng, Haomin Wen, Chao Song, Shu He:
G2PTL: A Pre-trained Model for Delivery Address and its Applications in Logistics System. CoRR abs/2304.01559 (2023) - [i5]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:
LaDe: The First Comprehensive Last-mile Delivery Dataset from Industry. CoRR abs/2306.10675 (2023) - [i4]Xiaowei Mao, Haomin Wen, Hengrui Zhang, Huaiyu Wan, Lixia Wu, Jianbin Zheng, Haoyuan Hu, Youfang Lin:
DRL4Route: A Deep Reinforcement Learning Framework for Pick-up and Delivery Route Prediction. CoRR abs/2307.16246 (2023) - [i3]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:
A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects. CoRR abs/2309.01194 (2023) - [i2]Yutong Xia, Yuxuan Liang, Haomin Wen, Xu Liu, Kun Wang, Zhengyang Zhou, Roger Zimmermann:
Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment. CoRR abs/2309.13378 (2023) - [i1]Yibo Yan, Haomin Wen, Siru Zhong, Wei Chen, Haodong Chen, Qingsong Wen
When Urban Region Profiling Meets Large Language Models. CoRR abs/2310.18340 (2023) - 2022
- [j4]Haomin Wen
DeepRoute+: Modeling Couriers' Spatial-temporal Behaviors and Decision Preferences for Package Pick-up Route Prediction. ACM Trans. Intell. Syst. Technol. 13(2): 24:1-24:23 (2022) - [j3]Yiji Zhao
Traffic Inflow and Outflow Forecasting by Modeling Intra- and Inter-Relationship Between Flows. IEEE Trans. Intell. Transp. Syst. 23(11): 20202-20216 (2022) - [j2]Yiji Zhao
Context-aware Distance Measures for Dynamic Networks. ACM Trans. Web 16(1): 2:1-2:34 (2022) - [c2]Haomin Wen, Youfang Lin
Graph2Route: A Dynamic Spatial-Temporal Graph Neural Network for Pick-up and Delivery Route Prediction. KDD 2022: 4143-4152 - 2021
- [c1]Haomin Wen, Youfang Lin
Package Pick-up Route Prediction via Modeling Couriers' Spatial-Temporal Behaviors. ICDE 2021: 2141-2146
2010 – 2019
- 2019
- [j1]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:
Rebuilding the Standing Prescription Renewal Orders. Appl. Clin. Inform. 10(01): 77-86 (2019)
Coauthor Index
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