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 subproblemYutong Wang and Clayton Scott
[arXiv]
[Code]
Weston-Watkins Hinge Loss and Ordered PartitionsYutong 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 TranscriptomicsTasha 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]