Yuguang Yao


About me

  • I am a third-year PhD student advised by Prof. Sijia Liu in Computer Science and Engineering, Michigan State University since 2021.

  • I did three-year research with Prof. Zhichao Cao and Prof. Yunhao Liu in Software Department, Tsinghua University and Computer Science and Engineering, Michigan State University from 2018 to 2020.

  • I did my bachelor's degree advised by Prof. Hong Wang from Automation Department, Tsinghua University from 2014 to 2018.

  • I spent 6 years in Taiyuan NO.5 Middle School from 2008 to 2014.

Selected Publications

  • Yuguang Yao*, Yihua Zhang*, Parikshit Ram, Pu Zhao, Tianlong Chen, Mingyi Hong, Yanzhi Wang, Sijia Liu, "Advancing Model Pruning via Bi-level Optimization", NeurIPS’22. [link]

  • Yuguang Yao*, Yifan Gong*, Yize Li, Yimeng Zhang, Xiaoming Liu, Xue Lin, Sijia Liu, "Reverse Engineering of Imperceptible Adversarial Image Perturbations", ICLR’22. [link]


  • Adversarial Machine Learning

  • Backdoor Attack and Defense

  • Neural Network Pruning

  • Bi-level Optimization

  • Parameter Efficient Fine Tuning


  • CSE 102 Python Basics @ Spring 2021

  • CSE 231 Python Programming @ Spring 2021

  • CSE 232 C++ Programming @ Spring 2021

  • CSE 477 Web Application Development @ Spring 2021

  • CSE 480 Database Systems @ Fall 2020, Fall 2023

  • CSE 801 Big Data Analysis @ Spring 2023


  • ICML’22, ICML’23 AdvML Frontiers Chair

  • Reviewers of NeurIPS, ICML, CVPR, ICASSP