Mingxi Lei |
 |
About
I am a PhD student in Computer Science, supervised by Prof. Jinhui Xu. I received my M.S. degree in Electrical Engineering from University of Southern California (USC), advised by Prof.
Keith Jenkins,
and my B.Eng. degree from
Guangdong University of Technology, China.
Research Interest
- Online/Continuous Learning, Post-training (Adaptation).
- Trustworthy ML (Federated Learning, Differential Privacy).
- Applied computational geometry for GenAI.
Publications
(* indicates equal contribution.)
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Towards User-level Private Reinforcement Learning with Human Feedback.
Jiaming Zhang*, Mingxi Lei*, Meng Ding, Mengdi Li, Zihang Xiang, Difei Xu, Jinhui Xu, Di Wang.
Preprint.
[ArXiv]
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TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram.
Mingxi Lei, Chunwei Ma, Meng Ding, Yufan Zhou, Ziyun Huang, Jinhui Xu.
ICLR 2025.
[OpenReview]
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Understanding Private Learning From Feature Perspective.
Meng Ding, Mingxi Lei, Shaopeng Fu, Di Wang, Jinhui Xu.
ICLR 2025 Workshop.
[OpenReview]
-
Improved Rates of Differentially Private Nonconvex-Strongly-Concave Minimax Optimization.
Ruijia Zhang*, Mingxi Lei*, Meng Ding, Zihang Xiang, Jinhui Xu, Di Wang.
AAAI 2025.
[Code]
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Revisiting Differentially Private ReLU Regression.
Meng Ding, Mingxi Lei, Liyang Zhu, Shaowei Wang, Di Wang, Jinhui Xu.
NeurIPS 2024.
[Link]
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Unifying Domain Gap in Federated Learning: a Geometric Approach.
Mingxi Lei, Meng Ding, Chunwei Ma, Ziyun Huang, Mingchen Gao, Jinhui Xu.
Neurocompuing 2024 (Impact Factor: 5.5).
[Link]
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Wavelet-Based CNN for Predicting PAP Adherence Using Overnight Polysomnography Recordings: A Pilot Study.
Mingxi Lei, Tom Maxim, Edwin Valladares, Eric Kezirian, Keith Jenkins.
EMBC 2021.
[Link]
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Benchmarking Various Radiomic Toolkit Features While Applying the Image Biomarker Standardization Initiative toward Clinical Translation of Radiomic Analysis.
Mingxi Lei*, Bino Varghese*, Darryl Hwang, Steven Cen, Xiaomeng Lei, Bhushan Desai, Afshin Azadikhah, Assad Oberai, Vinay Duddalwar.
Journal of Digital Imaging 2021 (Impact Factor: 4.4).
[Link]
Professional Services
- Journal Reviews
IEEE Journal of Biomedical and Health Informatics (JBHI)
BMC Medical Imaging - Conference Reviews
International Conference on Learning Representations (ICLR) 2025
International Symposium on Computational Geometry (SoCG) 2025
Awards
- MS Honors Fellow, Ming Hsieh Department of Electrical and Computer Engineering, USC 2021
- ECE Outstanding Academic Achievement Award, Ming Hsieh Department of Electrical and Computer Engineering, USC 2021