HAOTENG YIN
PhD Student @ Purdue
I am Haoteng Yin (殷浩腾), a PhD student at CS@Purdue, supervised by Prof. Pan Li. Prior to this study, I attained MPhil in Data Science at Peking University and received BEng in Computer Science from Taishan College, Shandong University.
My research interests focus on machine learning algorithms and applications in,
Graph Representation Learning
Scalable and Parallel Graph Algorithms & Algorithm System Co-design
Spatiotemporal Data Analysis
Fairness & Location Privacy
* indicates equal contribution.
Haoteng Yin, Muhan Zhang, Jianguo Wang, Pan Li. (2023) SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning. In VLDB'23 [Code]
Prasita Mukherjee, Haoteng Yin. (2023) OCTAL: Graph Representation Learning for LTL Model Checking. In DLG-KDD'23. Workshop. (Contributed Talk)
Haoteng Yin, Muhan Zhang, Yanbang Wang, Jianguo Wang, Pan Li. (2022) Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning. In VLDB'22. [Code]
Rongzhe Wei, Haoteng Yin, Junteng Jia, Austin R. Benson, Pan Li. (2022) Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective. In NeurIPS'22. [Code]
Haorui Wang, Haoteng Yin, Muhan Zhang, Pan Li. (2022) Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks. In ICLR'22. [Code]
Haoteng Yin, Yanbang Wang, Pan Li. (2020) Revisiting graph neural networks and distance encoding from a practical view. In DLG-AAAI'21. Workshop. [Code]
Bing Yu*, Haoteng Yin*, Zhanxing Zhu. (2019). ST-UNet: A Spatio-Temporal U-Network for Graph-structured Time Series Modeling.
Bing Yu*, Haoteng Yin*, Zhanxing Zhu. (2018). Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting. In IJCAI'18. Main Track. [Dataset (PeMSD7-M/L)] [Code]
Haoteng Yin, Yang Liu. (2017). Semantic analysis of spatial temporal trajectory in LBSNs. (in Chinese) SCIENTIA SINICA Informationis, 47(8), 1051-1065. (SMP'16 Best Paper Award)
Professional Service
Reviewer: ICLR'24, NeurIPS'22-23, ICML'22-23, WWW'22, '24, LoG'22-23; [J] Nature Machine Intelligence; ACM Transactions on Spatial Algorithms and Systems; IEEE Transactions on Cybernetics, Intelligent Transportation Systems, Emerging Topics in Computing, Signal Processing, Big Data
TPC Member: IEEE SPAWC'21
Research & Experience
June 2023 ~ Applied Scientist Intern, Amazon Search
Aug. 2019 ~ Graduate Assistantship, GCoM@CS, Purdue
June 2018 ~ Sept. 2018 Research Intern, École Polytechnique (Inria), France
Jan. 2017 ~ Feb. 2017 Social Innovation DO Camp, Yintai Centre & Foundation
Oct. 2016 ~ July 2019 Research Assistant, Center for Data Science, PKU
July 2016 RANEPA Summer Campus Scholar, Russia
July 2015 ~ Aug. 2015 Science Summer School Term I & II, University of Cambridge, UK
Oct. 2014 ~ Oct. 2015 Research Assistant, Interdisciplinary Research Center, SDU
Honors & Events
Top Reviewer (8%) Award at the 36th Conference on Neural Information Processing Systems (NeurIPS '22), New Orleans, USA
Purdue University Graduate School Summer Research Grants '21, W. Lafayette, USA
Best Oral Presentation Award at the 3rd Peking University Graduate Student Forum on Advanced Interdisciplinary Studies, Beijing, China
Peking University Academic Excellence Scholarship (~8%) '16 / '17 / '18, Beijing, China
Runner-up at the 9th Karakal Peking University Squash Open - Level B, Beijing, China
Oral & Poster at the 27th International Joint Conference on Artificial Intelligence (IJCAI '18), Stockholm, Sweden
Student Volunteer Award at the 35th International Conference on Machine Learning (ICML '18), Stockholm, Sweden
Poster at the DiDi-IEEE Elite Forum 2018, Beijing, China (Extraordinary Potential Award, 2/39)
Oral presentation at the 2nd Peking University Graduate Student Forum on Advanced Interdisciplinary Studies, Beijing, China
Oral presentation at the 5th National Conference of Social Media Processing (SMP '16), Nanchang, China (Best Paper Award, 1/25)
Contact
Address : RM3133, LWSN, 305 N. University Street, West Lafayette, IN 47907
E-Mail : yinht [AT] purdue.edu
© 2018-2023 HAOTENG YIN, ALL RIGHTS RESERVED.
