I am a Computer and Information Science Ph.D. student at the University of Pennsylvania, advised by Prof. René Vidal. My research interests have spanned optimization for AI, trustworthy AI and AI for science. Before joining Penn, I obtained a M.S. degree in Computer Science at the University of Minnesota, Twin Cities, advised by Prof. Ju Sun, a M.S. degree in Materials Science at the University of Minnesota, Twin Cities, advised by Prof. J. Ilja Siepmann, and a B.S. degree in Physics at Nanjing University.
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 🇨🇳
Poster on When Deep Learning Meets Nontrivial Constraints in the 3M Poster Session. (Jun 7, 2023)
Poster on When Deep Learning Meets Nontrivial Constraints in the Midwest ML Symposium (MMLS 2023). See our poster for more details! (May 16-17, 2023)
Tutorial on Deep Learning with Nontrivial Constraints in the SIAM International Conference on Data Mining (SDM23). See our slides for more details! (Apr 29, 2023)
M.S. final defense! Special thanks to my advisor Prof. Ju Sun! (Apr 7, 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)
Website ICCOPT22 Slides SDM2023 Tutorial Proposal SDM 2023 slides MMLS 2023 Poster 3M Poster (2023)