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 received 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 and Research Experience
University of Michigan, Sep. 2020 – Present
ByteDance AI Lab, Feb. 2020 – Sep. 2020
Shanghai Jiao Tong University, Sep. 2016 – Jun. 2020
- B.Sc. in Computer Science (Zhiyuan Honors Degree)
- Member of ACM Honors Class, Zhiyuan Honors Program.
- Research intern at Apex Data & Knowledge Management Lab, advised by Prof. Yong Yu and Prof. Weinan Zhang.
MARS: Markov Molecular Sampling for Multi-objective Drug Discovery
Yutong Xie, Chence Shi, Hao Zhou, Yuwei Yang, Weinan Zhang, Yong Yu, Lei Li. International Conference on Learning Representations (ICLR), 2021 (with spotlight presentation). [pdf] [code]
Visual Rhythm Prediction with Feature-Aligned Network
Yutong Xie, Haiyang Wang, Yan Hao, Zihao Xu. IAPR International Conference on Machine Vision Applications Conference (MVA), 2019. [pdf]