Welcome to my academic ocean!
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 - Trustworthy Machine Learning Group - Advisor: Dr. Ravi Tandon
- Learning Fair Models via F-divergence Regularization (Fair Machine Learning)
- Trustworthy Machine Learning Group - Advisor: Dr. Ravi Tandon
Graduate Research Assistant University of Southern California Aug 2019 - May 2021 - 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)
- Autonomous Networks Research Group - Advisor: Bhaskar Krishnamachari
- Robotic Network Routing Optimization using Multi-Armed Bandits (Network Optimization, Multi-Armed bandits)
- Quantitative Evaluation and Design Group - Advisor: Dr. Leana Golubchik & Dr. Marco Paolieri
Graduate Research Assistant Shanghai University Sep 2017 - Jan 2019 - Shanghai University Strive Team - Advisor: Wanmi Chen
- China Basketball Robot Competition (Image Recognition and Hardware Design)
- Shanghai University Deep Learning Research Team - Advisor: Shenshen Gu
- Neural Network Optimization Using Complex Value (Neural Network Optimization, Machine learning)
- Shanghai University Strive Team - Advisor: Wanmi Chen
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
- 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
- X. Li, M. 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