Mingxi Lei |
 |
About
I am a PhD student in Computer Science, supervised by Prof. Jinhui Xu and Prof. Wenyao 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
- Large Language Models.
- Trustworthy Machine Learning (Robustness, Adaptation, Privacy, etc.).
- AI + X: AI for Health (mRehab Project Page, Product Page at Auspex Medix).
Publications
(* indicates equal contribution.)
Preprint
Toward AI Agents for Intelligent Voice-Driven Interaction in a Home-based Stroke Rehabilitation System.
Mingxi Lei, et.al.
Preprint 2026.
Mingxi Lei, et.al.
Preprint 2026.
ICML
Understanding Private Learning From Feature Perspective.
Meng Ding, Mingxi Lei, Shaopeng Fu, Shaowei Wang, Di Wang, Jinhui Xu.
ICML 2026.
[ArXiv]
Meng Ding, Mingxi Lei, Shaopeng Fu, Shaowei Wang, Di Wang, Jinhui Xu.
ICML 2026.
[ArXiv]
COLM
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.
COLM 2025.
[ArXiv]
Jiaming Zhang*, Mingxi Lei*, Meng Ding, Mengdi Li, Zihang Xiang, Difei Xu, Jinhui Xu, Di Wang.
COLM 2025.
[ArXiv]
ICLR
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]
Mingxi Lei, Chunwei Ma, Meng Ding, Yufan Zhou, Ziyun Huang, Jinhui Xu.
ICLR 2025.
[OpenReview]
UAI
Nearly Optimal Differentially Private ReLU Regression.
Meng Ding, Mingxi Lei, Shaowei Wang, Tianhang Zheng, Di Wang, Jinhui Xu.
UAI 2025.
[ArXiv]
Meng Ding, Mingxi Lei, Shaowei Wang, Tianhang Zheng, Di Wang, Jinhui Xu.
UAI 2025.
[ArXiv]
AAAI
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]
Ruijia Zhang*, Mingxi Lei*, Meng Ding, Zihang Xiang, Jinhui Xu, Di Wang.
AAAI 2025.
[Code]
NeurIPS
Revisiting Differentially Private ReLU Regression.
Meng Ding, Mingxi Lei, Liyang Zhu, Shaowei Wang, Di Wang, Jinhui Xu.
NeurIPS 2024.
[Link]
Meng Ding, Mingxi Lei, Liyang Zhu, Shaowei Wang, Di Wang, Jinhui Xu.
NeurIPS 2024.
[Link]
Neurocomputing
Unifying Domain Gap in Federated Learning: a Geometric Approach.
Mingxi Lei, Meng Ding, Chunwei Ma, Ziyun Huang, Mingchen Gao, Jinhui Xu.
Neurocomputing 2024 (Impact Factor: 5.5).
[Link]
Mingxi Lei, Meng Ding, Chunwei Ma, Ziyun Huang, Mingchen Gao, Jinhui Xu.
Neurocomputing 2024 (Impact Factor: 5.5).
[Link]
EMBC
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]
Mingxi Lei, Tom Maxim, Edwin Valladares, Eric Kezirian, Keith Jenkins.
EMBC 2021.
[Link]
Journal of Digital Imaging
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]
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
- Annual Conference on Neural Information Processing Systems (NeurIPS)
- International Conference on Learning Representations (ICLR)
- International Conference on Machine Learning (ICML)
- International Symposium on Computational Geometry (SoCG)
- Annual AAAI Conference on Artificial Intelligence (AAAI)
- Uncertainty in Artificial Intelligence (UAI)
- IEEE Journal of Biomedical and Health Informatics (JBHI)
- BMC Medical Imaging
- Neurocomputing
- Scientific Report
- BMC Medical Informatics and Decision Making
- Journal of Medical Systems
Conference Reviews
Journal Reviews
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