Biography

Hi, everyone! I am Meiyu Zhong, a Ph.D. student in the Department of Electrical and Computer Engineering, University of Arizona. I am very lucky to work with Dr. Ravi Tandon. Previously, I received my M.S. degree from University of Southern California and B.S. degree in Shanghai University, majoring in Electrical Engineering.

Education

• Department of Electrical and Computer Engineering, University of Arizona, 08/2021-Present
  • Major in Electrical Engineering
  • GPA: 4.0/4.0
  • Research interest: Fairness and Robostness in machine learning
• Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, 08/2019-05/2021
  • Major in Electrical Engineering
  • GPA: 3.77/4.0
• Department of Electrical and Computer Engineering, Shanghai University, 09/2015-06/2019
  • Major in Electrical Engineering
  • Major GPA: 3.77/4.0

Research Experience

• Graduate Research Assistant

  University of Arizona

  Aug 2021 - present

  1. Trustworthy Machine Learning Group - Advisor: Dr. Ravi Tandon
     • Learning Fair Models via F-divergence Regularization (Fair Machine Learning)

• Graduate Research Assistant

  University of Southern California

  Aug 2019 - May 2021

  1. Quantitative Evaluation and Design Group - Advisor: Dr. Leana Golubchik & Dr. Marco Paolieri
     • Prevent Backdoor Attacks using matching network (Privacy, Federated learning, Machine learning)
     • Neutral Architecture Search on Model Quantization (Auto-ML, Compression, Estimation)
  2. Autonomous Networks Research Group - Advisor: Bhaskar Krishnamachari
     • Robotic Network Routing Optimization using Multi-Armed Bandits (Network Optimization, Multi-Armed bandits)

• Graduate Research Assistant

  Shanghai University

  Sep 2017 - Jan 2019

  1. Shanghai University Strive Team - Advisor: Wanmi Chen
     • China Basketball Robot Competition (Image Recognition and Hardware Design)
  2. Shanghai University Deep Learning Research Team - Advisor: Shenshen Gu
     • Neural Network Optimization Using Complex Value (Neural Network Optimization, Machine learning)

Work experience

• Data Science intern

  GiantKONE Elevator Co., Ltd.

  Aug 2018 - Nov 2018

  • Cleaned and pre-processing the tabular data
  • Collaborated with a team to develop a machine learning model to do the prediction.

Skills

• Programming language: Python (proficient), Matlab (proficient), C/C++ (familiar), SQL (familiar).
• Tools&Packages: PyTorch, HPC, Latex, NumPy, Pandas, Scikit-learn, TensorFlow, Git, Unix/Linux, etc.
• Robust machine learning: Certified Robustness, Adversarial Training.
• Fair machine learning: Group Fairness, Individual Fairness.

Papers

• Wenhan Zhang *, Meiyu Zhong *, Ravi Tandon, Marwan Krunz, Filtered Randomized Smoothing: A New Defense for Robust Modulation Classification. Proc. of the IEEE MILCOM Conference, October. 2024. (To be published)

• Meiyu Zhong, Ravi Tandon, Learning Fair Robustness via Domain Mixup, 57th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, Oct 2024. (To be published)

• Meiyu Zhong, Ravi Tandon, Intrinsic Fairness-Accuracy Tradeoffs under Equalized Odds, IEEE International Symposium on Information Theory (ISIT), Athens, Greece, July 2024.

• Meiyu Zhong, Ravi Tandon, Learning Fair Classifiers via Min-Max F-divergence Regularization, 59th Annual Allerton Conference on Communications, Control and Computing, Monticello, IL, September 2023

• Xingchen Li, Meiyu Zhong, “Hardware Design of Basketball Robot based on Flyback Topology and Verilog HDL”, International Conference on Information Systems and Computer Aided Education (ICISCAE), 2018, Vol 2:508-510.

Awards and Honors

• Champion of the 19th China Basketball Robot Competitoon, Yibin, China, 2018 - 2019
• Academic Excellent Scholarship Level I (top 5), Sep 2018 - Jul 2019
• Hezong Welding Academic Scholarship Level II, Sep 2017 - Jul 2018
• Hezong Welding Academic Scholarship Level III, Sep 2016 - Jul 2017
• Leadership Scholarship, Sep 2015 - Jul 2016