Yutong Wang

  • Assistant Professor of Computer Science

Education

  • Ph.D. Electrical & Computer Engineering,  University of Michigan, Ann Arbor
  • M.A. Mathematics, University of California, Davis
  • B.S.E. Electrical Engineering, University of Michigan, Ann Arbor

Research Interests

Awards

  • UM Postdoctoral Association Conference Award, 2023
  • NeurIPS Scholar Award, 2022
  • Honorable Mention for Outstanding Graduate Student Instructors and Instructional Aides NIH-sponsored travel award for NeurIPS Conference workshop, 2021
  • NeurIPS 2019 Conference workshop: 鈥淟earning Meaningful Representations of Life,鈥� 2019
  • The Rollin M. Gerstacker Foundation Fellowship, 2016
     

Publications

  1. Yutong Wang and Clayton Scott. 鈥溾��. Journal of Machine Learning Research 25.143 (2024) pp. 1鈥�51.
  2. Pengyu Li , Xiao Li , Yutong Wang, and Qing Qu. 鈥溾��. International Conference on Machine Learning. 2024.
  3. Yutong Wang, Rishi Sonthalia, and Wei Hu. 鈥溾��. Artificial Intelligence and Statistics. 2024.
  4. Zhiwei Xu, Yutong Wang, Spencer Frei, Gal Vardi, and Wei Hu. 鈥溾��. International Conference on Learning Representations. 2024.
  5. Yutong Wang and Clayton Scott. 鈥溾��. Conference on Learning Theory. 2023.
  6. Yutong Wang and Clayton Scott. 鈥溾��. Neural Information Processing Systems. 2022.
  7. Jianxin Zhang, Yutong Wang, and Clayton Scott. 鈥溾��. Neural Information Processing Systems. 2022.
  8. Yutong Wang and Clayton Scott. 鈥溾��. International Conference on Learning Representations. 2022.
  9. Yutong Wang and Clayton Scott. 鈥�. In: International Conference on Machine Learning. 2021.
  10. Yutong Wang and Clayton Scott. . In: Neural Informa- tion Processing Systems. 2020.
  11. Tasha Thong, Yutong Wang, Michael Brooks, Christopher Lee, Clayton Scott, Laura Balzano, Max Wicha, and Justin Colacino. In: Frontiers in Cell and Developmental Biology 8 (2020), p. 288.

Grants

NSF CISE Medium, Award # 2312842 Collaborative Research: RI: Medium: Principles for Optimization, Generalization, and Transferability via Deep Neural Collapse, Budget: $1,200,000, Period Covered: 10/01/2023 - 09/30/2026 PI: Zhihui Zhu, Co-PI: Jeremias Sulam, Co-PI: Qing Qu, Senior Personnel: Yutong Wang