Yutong Wang

PhD Candidate | University of Michigan | yutongw@umich.edu

Hi! I am a fifth year PhD candidate in EECS. My research is in machine learning. I am advised by Clay Scott. As a trainee in the Michigan Center for Single-Cell Genomic Data Analytics, I have enjoyed having the opportunity to collaborate with biologists and biostatisticians.

Research interests

I am interested in the various aspects of multiclass classification. More specifically, I enjoy thinking about

• Multiclass loss functions and their properties,
• Multiclass generalizations of popular algorithms such as support vector machines and boosting.

Publications

• An exact solver for the Weston-Watkins SVM subproblem
  Yutong Wang and Clayton Scott
  Accepted to ICML 2021.
  [arXiv] [Code]
• Weston-Watkins Hinge Loss and Ordered Partitions
  Yutong Wang and Clayton Scott
  NeurIPS 2020.
  [Paper] [arXiv]
• Hybrid Stem Cell States: Insights Into the Relationship Between Mammary Development and Breast Cancer Using Single-Cell Transcriptomics
  Tasha Thong, Yutong Wang, Michael D. Brooks, Christopher T. Lee, Clayton Scott, Laura Balzano, Max S. Wicha, and Justin A. Colacino
  Frontiers in Cell and Developmental Biology.
  [Paper] [Supporting technical report]

Blog posts

• 2020/12/30 Kernel multiclass support vector machine solvers
• 2020/11/06 The Weston-Watkins SVM dual problem
• 2020/10/14 SVM solver jargons
• 2020/10/02 A non-exhaustive list of SVM solvers