Zhenmei Shi

Ph.D.

Computer Sciences
University of Wisconsin-Madison, US

Contact:
zhmeishi [at] cs [dot] wisc [dot] edu
Office 5388, Department of Computer Sciences, UW-Madison

Google Scholar | Github | LinkedIn | CV

About Me

I am a Ph.D. candidate in Computer Science at the University of Wisconsin-Madison advised by Prof. Yingyu Liang. I obtained my B.S. degree in Computer Science and Pure Mathematics Advanced, from the Hong Kong University of Science and Technology in 2019.

I was fortunate to be an intern in the Google YouTube Ads Machine Learning team, Mountain View, in summer 2021. I had a wonderful experience in the Google Pixel Camera team, in the summer of 2020. Previously, I was an intern in the Base Model group of Megvii (Face++), Beijing. Also, I had two internships at Tencent YouTu group, Shenzhen.

My research interest includes Theoretical Deep Learning, Representation Learning, Open World Learning.

Publications

	Provable Guarantees for Neural Networks via Gradient Feature Learning Zhenmei Shi, Junyi Wei, Yingyu Liang NeurIPS 2023 [ OpenReview ] [ Slides ]
	A Graph-Theoretic Framework for Understanding Open-World Representation Learning Yiyou Sun, Zhenmei Shi, Yixuan Li NeurIPS 2023 Spotlight [ OpenReview ]
	When and How Does Known Class Help Discover Unknown Ones? Provable Understandings Through Spectral Analysis Yiyou Sun, Zhenmei Shi, Yingyu Liang, Yixuan Li ICML 2023 [ OpenReview ] [ arXiv ] [ Video ] [ Code ]
	The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning Zhenmei Shi, Jiefeng Chen, Kunyang Li, Jayaram Raghuram, Xi Wu, Yingyu Liang, Somesh Jha ICLR 2023 Spotlight (Accept Rate: 7.95%) [ OpenReview ] [ arXiv ] [ Poster ] [ Code ] [ Slides ] [ Video ] [ ICML 2022 Workshop version ] [ Workshop Poster ]
	Improving Foundation Models for Few-Shot Learning via Multitask Finetuning Zhuoyan Xu, Zhenmei Shi, Junyi Wei, Yin Li, Yingyu Liang ICLR 2023 Workshop [ OpenReview ] [ Poster ] [ Slides ]
	A Theoretical Analysis on Feature Learning in Neural Networks: Emergence from Inputs and Advantage over Fixed Features Zhenmei Shi, Junyi Wei, Yingyu Liang ICLR 2022 [ OpenReview ] [ arXiv ] [ Poster ] [ Code ] [ Slides ] [ Video ]
	Domain Generalization with Nuclear Norm Regularization Zhenmei Shi, Yifei Ming, Ying Fan*, Frederic Sala, Yingyu Liang NeurIPS 2022 Workshop [ OpenReview ] [ arXiv ] [ Poster ] [ Code ]
	Attentive Walk-Aggregating Graph Neural Networks Mehmet F. Demirel, Shengchao Liu, Siddhant Garg, Zhenmei Shi, Yingyu Liang TMLR 2022 [ OpenReview ] [ arXiv ] [ Code ]
	Deep Online Fused Video Stabilization Zhenmei Shi, Fuhao Shi, Wei-Sheng Lai, Chia-Kai Liang, Yingyu Liang WACV 2022 [ Paper ] [ arXiv ] [ Poster ] [ Project ] [ Code ] [ Dataset ]
	Structured Feature Learning for End-to-End Continuous Sign Language Recognition Zhaoyang Yang, Zhenmei Shi, Xiaoyong Shen, Yu-Wing Tai arXiv, 2019 [ arXiv ] [ News ]
	Dual Augmented Memory Network for Unsupervised Video Object Tracking Zhenmei Shi, Haoyang Fang, Yu-Wing Tai, Chi Keung Tang arXiv, 2019 [ arXiv ] [ Project ]

Technical Projects

	Velocity Vector Preserving Trajectory Simplification Guanzhi Wang, Zhenmei Shi, Cheng Long, Ya Gao, Raymond Wong Technical Report, 2018 [ Paper ] [ Code ]
	Deep Colorization, 2018. [ News ]

Research & Work Experience

	Research Assistant University of Wisconsin-Madison 2019 - Now \| Prof. Yingyu Liang
	Software Engineering Intern Google in Mountain View, CA Summer 2021 \| Dr. Myra Nam Summer 2020 \| Dr. Fuhao Shi
	Research Intern Megvii (Face++) in Beijing Summer 2019 \| Dr. Xiangyu Zhang
	Research Intern Tencent YouTu in Shenzhen Winter 2019 \| Zhaoyang Yang and Prof. Yu-Wing Tai Winter 2018 \| Dr. Xin Tao and Prof. Yu-Wing Tai
	Research Assistant Hong Kong University of Science and Technology 2018 - 2019 \| Prof. Chi Keung Tang 2017 - 2018 \| Prof. Raymond Wong Summer 2016 \| Prof. Ji-Shan Hu
	Research Intern Oak Ridge National Laboratory in the USA Summer 2017 \| Dr. Cheng Liu and Prof. Kwai L. Wong

Academic Services

Conference Reviewer at ICLR 2022-2024, NeurIPS 2022-2023, ICML 2022, ICCV 2021-2023, CVPR 2021-2022, ECCV 2020-2022, WACV 2022
Journal Reviewer at JVCI, IEEE Transactions on Information Theory

Teaching

Teaching Assistant of CS220 (Data Programming I) at UW-Madison (Spring 2020)
Teaching Assistant of CS301 (Intro to Data Programming) at UW-Madison (Fall 2019) This page has been accessed

times since April 02, 2022
Last updated: Sept 21, 2023

	Provable Guarantees for Neural Networks via Gradient Feature Learning Zhenmei Shi, Junyi Wei, Yingyu Liang NeurIPS 2023 [ OpenReview ] [ Slides ]
	A Graph-Theoretic Framework for Understanding Open-World Representation Learning Yiyou Sun, Zhenmei Shi, Yixuan Li NeurIPS 2023 Spotlight [ OpenReview ]
	When and How Does Known Class Help Discover Unknown Ones? Provable Understandings Through Spectral Analysis Yiyou Sun, Zhenmei Shi, Yingyu Liang, Yixuan Li ICML 2023 [ OpenReview ] [ arXiv ] [ Video ] [ Code ]
	The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning Zhenmei Shi, Jiefeng Chen, Kunyang Li, Jayaram Raghuram, Xi Wu, Yingyu Liang, Somesh Jha ICLR 2023 Spotlight (Accept Rate: 7.95%) [ OpenReview ] [ arXiv ] [ Poster ] [ Code ] [ Slides ] [ Video ] [ ICML 2022 Workshop version ] [ Workshop Poster ]
	Improving Foundation Models for Few-Shot Learning via Multitask Finetuning Zhuoyan Xu, Zhenmei Shi, Junyi Wei, Yin Li, Yingyu Liang ICLR 2023 Workshop [ OpenReview ] [ Poster ] [ Slides ]
	A Theoretical Analysis on Feature Learning in Neural Networks: Emergence from Inputs and Advantage over Fixed Features Zhenmei Shi, Junyi Wei, Yingyu Liang ICLR 2022 [ OpenReview ] [ arXiv ] [ Poster ] [ Code ] [ Slides ] [ Video ]
	Domain Generalization with Nuclear Norm Regularization Zhenmei Shi, Yifei Ming, Ying Fan*, Frederic Sala, Yingyu Liang NeurIPS 2022 Workshop [ OpenReview ] [ arXiv ] [ Poster ] [ Code ]
	Attentive Walk-Aggregating Graph Neural Networks Mehmet F. Demirel, Shengchao Liu, Siddhant Garg, Zhenmei Shi, Yingyu Liang TMLR 2022 [ OpenReview ] [ arXiv ] [ Code ]
	Deep Online Fused Video Stabilization Zhenmei Shi, Fuhao Shi, Wei-Sheng Lai, Chia-Kai Liang, Yingyu Liang WACV 2022 [ Paper ] [ arXiv ] [ Poster ] [ Project ] [ Code ] [ Dataset ]
	Structured Feature Learning for End-to-End Continuous Sign Language Recognition Zhaoyang Yang, Zhenmei Shi, Xiaoyong Shen, Yu-Wing Tai arXiv, 2019 [ arXiv ] [ News ]
	Dual Augmented Memory Network for Unsupervised Video Object Tracking Zhenmei Shi, Haoyang Fang, Yu-Wing Tai, Chi Keung Tang arXiv, 2019 [ arXiv ] [ Project ]

	Research Assistant University of Wisconsin-Madison 2019 - Now \| Prof. Yingyu Liang
	Software Engineering Intern Google in Mountain View, CA Summer 2021 \| Dr. Myra Nam Summer 2020 \| Dr. Fuhao Shi
	Research Intern Megvii (Face++) in Beijing Summer 2019 \| Dr. Xiangyu Zhang
	Research Intern Tencent YouTu in Shenzhen Winter 2019 \| Zhaoyang Yang and Prof. Yu-Wing Tai Winter 2018 \| Dr. Xin Tao and Prof. Yu-Wing Tai
	Research Assistant Hong Kong University of Science and Technology 2018 - 2019 \| Prof. Chi Keung Tang 2017 - 2018 \| Prof. Raymond Wong Summer 2016 \| Prof. Ji-Shan Hu
	Research Intern Oak Ridge National Laboratory in the USA Summer 2017 \| Dr. Cheng Liu and Prof. Kwai L. Wong