Yutong Xie 谢雨桐
I am a Ph.D. student in the School of Information at the University of Michigan. I work 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 passionate about the research area of AI for science and AI for creativity. My interest includes using AI to solve challenging computational problems in scientific discovery and creative processes, which can be formulated as machine learning problems like prediction, optimization, generation, etc. I am also curious about how domain experts (e.g., scientists and artists) would collaborate with AI and how their collaboration can be further promoted.
NEW! Our paper on chemical space exploration measures was accepted by 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 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)