The highest activity a human being can attain is learning for understanding, because to understand is to be free. – Baruch Spinoza


I am Yutong Xie (谢雨桐), a first year Ph.D. student at the School of Information, University of Michigan, advised by Prof. Qiaozhu Mei in the Foreseer Group. Prior to this, I earned my Bachelor’s degree at Shanghai Jiao Tong University as a member of ACM Class advised by Prof. Yong Yu and Prof. Weinan Zhang.

My research interests lie in machine learning methods for both explicitly and implicitly structured data, especially for graphs, networks and texts.


Education

University of Michigan, Sep. 2020 - Present

Shanghai Jiao Tong University, Sep. 2016 - Jun. 2020


Research Experience

ByteDance AI Lab, Feb. 2020 – Sep. 2020

Foreseer Group, iSchool, University of Michigan, Jun. 2019 – Dec. 2019

  • Research intern advised by Prof. Qiaozhu Mei.
  • Research topics: graph representation learning and multi-task learning.

Apex Data & Knowledge Management Lab, SJTU, Jun. 2018 – Present


Publications and Manuscripts

Visual Rhythm Prediction with Feature-Aligned Network [PDF]
Y. Xie, H. Wang, Y. Hao, Z. Xu
Proceedings of the 16th IAPR International Conference on Machine Vision Applications Conference (MVA 2019).


Teaching Experience

  • CS420: Machine Learning, Teaching Assistant, Spring 2019
  • CS120: Introduction to Computer Science, Head Teaching Assistant, Fall 2018
  • CS151: C++ Programming (A), Teaching Assistant, Fall 2017

Hornors & Awards


Contact Me

  • Email: yutxie AT umich DOT edu
  • Links: GitHub