Wen, Haomin (温浩珉)

Postdoc, Carnegie Mellon University E-mail: wenhaomin.whm@gmail.com

About me

I received the B.S. degree from Beijing Jiaotong University in 2019, and the Ph.D. degree in 2024 at School of Computer and Information Technology, Beijing Jiaotong University, where I was in institute of network science and intelligent systems (INSIS), supervised by Youfang Lin and Huaiyu Wan. In 2022-2023, I wat at the School of Computing of NUS as a joint Ph.D. student, supervised by Roger Zimmermann and Yuxuan Liang. Currently, I am a postdoc at Carnegie Mellon University, supervised by Leman Akoglu. My main research interests include data mining, spatial-temporal data forecasting, applied machine learning. I focus on using AI to solve practical problems.

News [2023-12-24]: OverleafCopilot now has over 2000+ daily users in Chrome Extension Store.

News [2023-11-24]: Created OverleafCopilot, a Chrome extension that directly integrates ChatGPT in Overleaf to accelerate paper polishing! (see more features the video demo.)

News [2023-6-2]: I and my friend created the website: PromptGenius. Come here to find and share amazing ChatGPT prompts for reading, writing, and revising paper and others purposes! (https://www.promptgenius.site/)

Research

My research interests include:

• Data Mining

• Spatial-temporal Data Forecasting

• Applied Machine Learning

Publications

• 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, Yuxuan Liang, Guangyin Jin, Yiji Zhao, Roger Zimmermann, Jieping Ye, Huaiyu Wan*

  In IEEE Transactions on Knowledge and Data Engineering, (TKDE), 2024

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

  Yuxuan Liang, Haomin Wen, Yuqi Nie, Yushan Jiang, Ming Jin, Dongjin Song, Shirui Pan, Qingsong Wen

  In Proc. of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2024

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

  Lixia Wu†, Haomin Wen†, Haoyuan Hu, Xiaowei Mao, Yutong Xia, Ergang Shan, Jianbing Zhen, Junhong Lou, Yuxuan Liang*, Liuqing Yang, Roger Zimmermann, Youfang Lin, Huaiyu Wan (†:Equal contribution)

  In Proc. of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 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, Tianrui Li, Yu Zheng, Yuxuan Liang

  In Information Fusion, 2024

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

  Yibo Yan, Haomin Wen, Siru Zhong, Wei Chen, Haodong Chen, Qingsong Wen, Roger Zimmermann, Yuxuan Liang.

  In Proc. of The Web Conference (WWW), 2024

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

  Yutong Xia, Yuxuan Liang*, Haomin Wen, Xu Liu, Kun Wang, Zhengyang Zhou, Roger Zimmermann.

  In 37-th Conference on Neural Information Processing Systems (NeurIPS), 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*.

  In ACM Sigspatial 2023 (Sigspatial), 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, Haomin Wen, Chao Song, Shu He.

  In ACM KDD Workshop (Best Paper) (KDD workshop), 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*.

  In IEEE Transactions on Intelligent Transportation Systems (TITS), 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, Haoyuan Hu, Youfang Lin (†:Equal contribution)

  In Proc. of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 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*, Lixia Wu, Haoyuan Hu, Youfang Lin.

  In Proc. of The IEEE 39th International Conference on Data Engineering(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.

  In Proc. of The IEEE 39th International Conference on Data Engineering(ICDE), 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, Shengnan Guo, Jianbing Zheng, Chao Song, Lixia Wu.

  In ACM Transactions on Intelligent Systems and Technology (TIST), 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, Yuting Qiang, Shengnan Guo, Lixia Wu, Haoyuan Hu, Youfang Lin

  In Proc. of Thirty-Seventh AAAI Conference on Artificial Intelligence(AAAI), 2023

• Spatial-Temporal Position-aware Graph Convolutional Networks for Traffic Network Flows Forecasting

  Yiji Zhao, Youfang Lin, Haomin Wen, Tonglong Wei, Xiyuan Jin, Huaiyuan Wan

  In IEEE Transactions on Intelligent Transportation Systems (TITS), 2022

• Modeling Spatial-Temporal Correlations and Uncertainty for Dynamic Wind Power Forecasting via PaddlePaddle

  Yiji Zhao, Haomin Wen, Junhong Lou, Jinji Fu, Jianbin Zheng, Youfang Lin*

  In Baidu Workshop of KDD 2022 (KDD Workshop), 2022

• 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, Lixia Wu, Haoyuan Hu, Huaiyu Wan*

  In Proc. of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 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, Zhihao Wu, Shuaichao Zhang, Huaiyu Wan.

  In IEEE Transactions on Intelligent Transportation Systems (TITS), 2022

• Context-aware Distance Measures for Dynamic Networks

  Yiji Zhao, Youfang Lin, Zhihao Wu*, Yang Wang, Haomin Wen

  In ACM Transactions on the Web (TWEB), 2021

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

  Haomin Wen, Youfang Lin, Huaiyu Wan*, Shengnan Guo, Fan Wu, Lixia Wu, Chao Song, Yinghui Xu

  In ACM Transactions on Intelligent Systems and Technology (TIST), 2022

• Package Pick-up Route Prediction via Modeling Couriers’ Spatial-temporal Behaviors

  Haomin Wen, Youfang Lin, Fan Wu, Huaiyu Wan*, Shengnan Guo, Lixia Wu, Chao Song, Yinghui Xu

  In Proc. of The IEEE 37th International Conference on Data Engineering (ICDE), 2021

Note: * indicates the corresponding author.

Academic service

Sub-Reviewer

• TITS, TIST, TKDE

• WSDM’19, WWW’20, AAAI’20, KDD’20, KDD’21, KDD’22, KDD'2023

PC member

• IJCAI 2023, Workshop: AI for Time Series

• KDD 2023, Workshop: UrbComp

Projects

1. Package Pickup Arrival Time Prediction via Spatial-Temporal Deep Learning, 01.2021-03.2023

• Fundamental Research Funds for Central Universities (Rank: Top 1%).

2. Research on Spatial-temporal Prediction and Decision-making Algorithm in Logistics System, 01.2022-Present

• CCF-Alibaba Group: Alibaba Innovative Research Program

Education

B.E., Computer Science, Beijing Jiaotong University, 09.2015-06.2019.

Ph.D. Candidate, School of Computer and Information Technology, Beijing Jiaotong University, 09.2019-Present.

Joint Ph.D., School of Computing, National University of Singapore, 10.2022-Present.

Competitions

1. First Prize of ACM KDD Cup, 2022. Team Member. (World Ranking: 5/2490 (regular track ), 3 / 2490 (PaddlePaddle track))

2. First Prize of ACM 29th SIGSPATIAL Cup, 2021. Team Adviser. (World Ranking: 5/128)

3. First Prize of 2nd IKCEST International Big Data Competition, 2020. Team Member. (World Ranking: 48/3023)

4. Grand Prize of 4th “Changfeng Cup” Big Data Analysis and Mining, 2020. Team Adviser. (National Ranking: 1/662)

5. First Prize of 1st IKCEST International Big Data Competition, 2019. Team Member. (World Ranking: 2/2312)

6. Meritorious Winner of Mathematical Contest in Modeling, 2018. Team Leader. (World Ranking: Top 10%)

Awards

1. First Prize of Postal Industry Scientific and Technological Award (China Express Association) (8/9).

2. Conference travel grants for AAAI 2023

3. First Prize Scholarship of Beijing Jiaotong University, 2021.(Top 5%)

4. First Prize Scholarship of Beijing Jiaotong University, 2020.(Top 5%)

5. National Scholarship, China, 2019.(Top %1)

Activities

1. Teaching Assistant, Deep Learning, BJTU, Fall 2021

2. Teaching Assistant, Machine Learning, BJTU, Fall 2021

3. Research Guidance, College Students' Innovation Project, BJTU.

• Team Member: Zhongxiang Sun, Hongyu Liu, Chuang Zhao. Province-level (Top 20%), 2020-2021.

• Team Member: Xinyi Zhang, Mingxuan Xia, Yuxuan Hu. Province-level (Top 20%), 2020-2021.

• Team Member: Haochen Wang, Hao Hao, Bocheng Zhang. Province-level (Top 20%), 2020-2021.

• Team Member: Wanen Gao, Yuxin Zheng, Zhilong Xu. National-level (Top 10%), 2021-2022.

• Team Member: Jinji Fu, Jiyuan Wang, Zhenjie Wei. National-level (Top 10%), 2022-2023.

4. Thesis (master) Guidance, BJTU.

• Qiang Wang, school-level excellent paper, 2020.

• Qinqiang Meng, 2021-2022.

• Guanjiao Cui, school-level excellent paper, 2021-2022.

Work experience

1. Research Intern, AI Lab @ Alibaba Cainiao Network, Hangzhou, China, 2021-2023

2. Research Intern, CityMind Lab @ Hong Kong University of Science and Technology (Guangzhou) , China, 11.2023-05.2024

 

A brief cv.