I am an incoming Computer and Information Science Ph.D. student at the University of Pennsylvania, advised by Prof. René Vidal. I am also a M.S. student in the Department of Computer Science & Engineering at the University of Minnesota, Twin Cities, advised by Prof. Ju Sun. My research interests have spanned optimization for AI, trustworthy AI and AI for science.
Prior to this, I obtained my first M.S. degree in Materials Science at the University of Minnesota, Twin Cities, and my B.S. degree from the School of Physics, Nanjing University. Before joining Prof. Ju Sun’s group, I worked as a research assistant in Prof. J. Ilja Siepmann’s computational chemistry group.
Download my Curriculum Vitae .
Ph.D. in Computer and Information Science, 2023 -
University of Pennsylvania, Philadelphia, PA, USA 🇺🇸
M.S. in Computer Science, 2020 - 2023
University of Minnesota, Minneapolis, MN, USA 🇺🇸
M.S. in Materials Science, 2018 - 2020
University of Minnesota, Minneapolis, MN, USA 🇺🇸
B.S. in Physics, 2014 - 2018
Nanjing University, Nanjing, Jiangsu, China 🇨🇳
Upcoming tutorial: Tutorial on Deep Learning with Nontrivial Constraints in the SIAM International Conference on Data Mining (SDM23). (Apr 29, 2023)
Paper release: Proud to release our paper Optimization and Optimizers for Adversarial Robustness on arXiv! We have created the first general-purpose method for evaluating adversarial robustness and challenged the reliability of the existing robustness evaluation and adversarial training frameworks. (Mar 24, 2023)
Paper acceptance: Our paper Implications of Solution Patterns on Adversarial Robustness has been accepted by Computer Vision and Pattern Recognition (CVPR) Workshop of Adversarial Machine Learning on Computer Vision: Art of Robustness! (Mar 22, 2023)
I am thrilled to join Prof. René Vidal’s group as a Computer and Information Science Ph.D. student at the University of Pennsylvania this Fall! (Feb 28, 2023)
Paper acceptance: Our paper Optimization for Robustness Evaluation beyond ℓp Metrics has been accepted by IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023)! (Feb 16, 2023)
Website ICCOPT22 Slides SDM2023 Tutorial ICASSP 2023 Tutorial
Body Weight: 77.1kg. Squat: 163.3kg; Bench Press: 115.7kg; Deadlift: 192.8kg. Total 471.7kg.
Body Weight: 77.3kg. Squat: 154.2kg; Bench Press: 113.4kg; Deadlift: 188.2kg. Total 455.9kg.
Body Weight: 76.35kg. Squat: 157.5kg; Bench Press: 105kg; Deadlift: 180kg. Total 442.5kg.
Body Weight: 75.3kg. Squat: 165.6kg; Bench Press: 102.1kg; Deadlift: 172.4kg. Total 440kg.
Body Weight: 73.6kg. Squat: 160kg; Bench Press: 95kg; Deadlift: 170kg. Total 425kg.