Yutong Xie   谢雨桐

I am a Ph.D. student in the School of Information at the University of Michigan, working with Prof. Qiaozhu Mei in the Foreseer Group. Prior to this, I received my Bachelor's degree from Shanghai Jiao Tong University as a member of the ACM Honors Class, advised by Prof. Yong Yu and Prof. Weinan Zhang.

I am enthusiastic about exploring the potential of AI for science and AI for creativity. My focus is on using AI to tackle complex computational tasks in scientific research and creative endeavors, which can often be framed as machine learning problems such as prediction, optimization, and generation. I am also interested in examining how AI would collaborate with domain experts such as scientists and artists, and how we can promote such collaborations.

Please check my curriculum vitae for more information.

  yutxie AT umich DOT edu | yutongxie98 AT gmail DOT com
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NEW! Our paper on chemical space exploration measures was accepted by ICLR 2023 and the ICML 2022 AI4Science Workshop!
NEW! Our paper on program representation (MVG) was accepted by AAAI 2022!
NEW! Our paper on multi-objective drug discovery (MARS) was accepted by ICLR 2021 with a spotlight presentation!


How Much Space Has Been Explored? Measuring the Chemical Space Covered by Databases and Machine-Generated Molecules
Yutong Xie, Ziqiao Xu, Jiaqi Ma, Qiaozhu Mei.
International Conference on Learning Representations (ICLR), 2023.

How Much of the Chemical Space Has Been Explored? Selecting the Right Exploration Measure for Drug Discovery
Yutong Xie, Ziqiao Xu, Jiaqi Ma, Qiaozhu Mei.
International Conference on Machine Learning (ICML) AI for Science Workshop, 2022.
[Code] [SlidesLive] [Slides] [Poster]

Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection
Ting Long*, Yutong Xie*, Xianyu Chen, Weinan Zhang, Qinxiang Cao, Yong Yu.
AAAI Conference on Artificial Intelligence (AAAI), 2022 (acceptance rate 15%).
[Code] [Slides] [Poster]

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.
Spotlight presentation (top 5%).
[Code] [SlidesLive] [Slides] [Poster] [AI Time] [WeChat Article]

Visual Rhythm Prediction with Feature-Aligned Network
Yutong Xie, Haiyang Wang, Zihao Xu, Yan Hao.
IAPR International Conference on Machine Vision Applications Conference (MVA), 2019.

(* = equal contribution)