I am Xinyu Yang (杨新宇), an undergraduate from ACM Honors Class, Zhiyuan College, Shanghai Jiao Tong University, advised by Prof. Yong Yu. My research focuses on building efficient and robust machine learning models that can cope with complex real-world problems, whether result from the low latency, low energy and high accuracy requirements in applications such as autonomous driving and AR/VR, or due to various data distribution like out-of-distribution, label scarcity and imbalance.

Currently, I’m a research intern at MIT and Stanford, advised by Prof. Song Han and Prof. Chelsea Finn respectively. During my junior year, I also had a wonderful time as an undergraduate researcher working with Prof. Junchi Yan at ThinkLab.


sjtuShanghai Jiao Tong University
  B.Eng. in Computer Science, advised by Prof. Yong Yu. Sep. 2019 - Present

Research Experience

  Research Intern at IRIS, advised by Prof. Chelsea Finn. Mar. 2022 - Present

  Research Intern at HanLab, advised by Prof. Song Han. Nov. 2021 - Present

sjtuShanghai Jiao Tong University
  Undergraduate at ThinkLab, advised by Prof. Junchi Yan. Jul. 2021 - Feb. 2022