Mingxi Lei
Scholar

Mingxi Lei

Google Scholar ID: xWNNQ_IAAAAJ
University at Buffalo, The State University of New York
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Citations & Impact
All-time
Citations
50
 
H-index
3
 
i10-index
1
 
Publications
9
 
Co-authors
0
 
Contact
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Publications
4 items
Understanding Private Learning From Feature Perspective
2025
Cited
0
Improved Rates of Differentially Private Nonconvex-Strongly-Concave Minimax Optimization
2025
Cited
0
Nearly Optimal Differentially Private ReLU Regression
2025
Cited
0
Towards User-level Private Reinforcement Learning with Human Feedback
2025
Cited
0
Resume
Academic Achievements
  • - Publications:
  • * Towards User-level Private Reinforcement Learning with Human Feedback. COLM 2025.
  • * TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram. ICLR 2025.
  • * Nearly Optimal Differentially Private ReLU Regression. UAI 2025.
  • * Understanding Private Learning From Feature Perspective. ICLR 2025 Workshop.
  • * Improved Rates of Differentially Private Nonconvex-Strongly-Concave Minimax Optimization. AAAI 2025.
  • * Revisiting Differentially Private ReLU Regression. NeurIPS 2024.
  • * Unifying Domain Gap in Federated Learning: a Geometric Approach. Neurocomputing 2024 (Impact Factor: 5.5).
  • * Wavelet-Based CNN for Predicting PAP Adherence Using Overnight Polysomnography Recordings: A Pilot Study. EMBC 2021.
  • * Benchmarking Various Radiomic Toolkit Features While Applying the Image Biomarker Standardization Initiative toward Clinical Translation of Radiomic Analysis. Journal of Digital Imaging 2021 (Impact Factor: 4.4).
  • - 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
Research Experience
  • - Machine Learning Research Intern, CodaMetrix Inc, Boston MA, 06/2025 - 08/2025
Education
  • - PhD: Computer Science, University at Buffalo, the State University of New York, Advisor: Prof. Jinhui Xu
  • - M.S.: Electrical Engineering, University of Southern California, Advisor: Prof. Keith Jenkins
  • - B.Eng.: Guangdong University of Technology, China
Background
  • - Research Interest: Large Language Models, Trustworthy Machine Learning (Generalization, Privacy), Online/Continuous Learning, Post-training (Adaptation)
  • - Professional Field: Computer Science
  • - Brief Introduction: Mingxi Lei is a PhD student in the Department of Computer Science and Engineering at the University at Buffalo, supervised by Prof. Jinhui Xu.
Miscellany
  • - Teaching Experience:
  • * CSE 676 Deep Learning, Spring 2023
  • * CSE 574 Intro to Machine Learning, Fall 2022
  • * CSE 250 Data Structure, Spring 2022
  • * CSE 4/528 Intro to Digital Image Processing, Fall 2021
  • * CSCI 467 Intro to Machine Learning (Course Producer), USC, Spring 2021
  • - Professional Services:
  • * Journal Reviews: IEEE Journal of Biomedical and Health Informatics (JBHI), BMC Medical Imaging
  • * Conference Reviews: NeurIPS, ICLR, SoCG, AAAI