| Guanghao Ye

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Office: 32G-585C

Email: ghye at mit.edu

I am a PhD student at MIT EECS. I am very fortunate to be advised by Jon Kelner. Before that, I obtained my Bachelor’s and Master’s degrees at University of Washington, where I was advised by Yin Tat Lee.

I am broadly interested in theoretical computer science. In particular, I am interested in algorithmic perspective of optimization and its applications.


Papers

Following conventions of math and theoretical computer science, author names are listed alphabetically.

    1. with Sally Dong
      European Symposium on Algorithms (ESA), 2024 (to appear)
    2. with Mehrdad Ghadiri, Yin Tat Lee, Swati Padmanabhan, William Swartworth, and David Woodruff
      Symposium on Theory of Computing (STOC), 2024
    3. with Sally Dong, Gramoz Goranci, Lawrence Li, and Sushant Sachdeva
      Symposium on Discrete Algorithms (SODA), 2024
    4. with Damek Davis, Dmitriy Drusvyatskiy, Yin Tat Lee, and Swati Padmanabhan
      Neural Information Processing Systems (NeurIPS), 2022 (oral presentation)
    5. with Sally Dong, Haotian Jiang, Yin Tat Lee, and Swati Padmanabhan
      Neural Information Processing Systems (NeurIPS), 2022
    6. with Sally Dong, Yu Gao, Gramoz Goranci, Yin Tat Lee, Richard Peng, and Sushant Sachdeva
      Symposium on Discrete Algorithms (SODA), 2022
    7. with Sally Dong, and Yin Tat Lee
      Symposium on Theory of Computing (STOC), 2021
      Invited to SICOMP Special Issue.
    8. with Jerry Li
      Neural Information Processing Systems (NeurIPS), 2020
    9. Undergraduate Thesis
      Best Senior Thesis Award Honorable Mention

    Teaching

    Teaching Assistant at UW:

    CSE421 Introduction to Algorithms: Spring 2018, Autumn 2018, Spring 2019, Winter 2020
    CSEP 521 Applied Algorithms: Winter 2019


    Service

    External Reviewers: STOC 2022, SODA 2023, AAAI 2023, AISTATS 2023,NeurIPS 2023, FOCS 2023, AAAI 2024, SODA 2024