Yuesong (Joseph) Zou

Master's Student School of Computer Science McGill Univeristy 3630 Rue University Office: Trottier 3105 E-mail: logic.zys [AT] gmail [DOT] com (recommended) E-mail: yuesong.zou [AT] mail [DOT] mcgill [DOT] ca Google Scholar, LinkedIn

I am a master's student at McGill University, where I'm very fortunate to be advised by Prof. Yue Li. Prior to that, I received my bachelor's degree from Institute for Interdisciplinary Information Sciences (a.k.a, Yao Class) at Tsinghua University.

My research interests include computational healthcare, biomedical knowledge graph, and machine learning (especially graph representation learning and topic modeling).

At Tsinghua University, I was first introduced to computational biology research by Prof. Jianyang Zeng and worked on T cell receptor \(\alpha, \beta\)-chain pairing. During the Spring of 2019, I was visiting Carnegie Mellon University, working under the supervision of Prof. Jian Ma on hypergraph learning and Hi-C data analysis. My bachelor's thesis advisor is Prof. Xuegong Zhang.

Publications

• Modeling electronic health record data using an end-to-end knowledge-graph-informed topic model [DOI][poster]
  Yuesong Zou, Ahmad Pesaranghader, Ziyang Song, Aman Verma, David Buckeridge, Yue Li
  Scientific Reports, vol. 12,1 17868.

• MixEHR-Guided: A guided multi-modal topic modeling approach for large-scale automatic phenotypingusing the electronic health record [DOI]
  Yuri Ahuja, Yuesong Zou, Aman Verma, David Buckeridge, Yue Li
  Journal of Biomedical Informatics, vol. 134 (2022): 104190.

• Hyper-SAGNN: a self-attention based graph neural network for hypergraphs [arXiv]
  Ruochi Zhang, Yuesong Zou, Jian Ma
  International Conference on Learning Representations (ICLR) 2020

Presentation

• Modeling electronic health record data using an end-to-end knowledge-graph-informed topic model, McGill School of Computer Science 50th anniversary celebration, Oct. 21, 2022