Shuyang Gong(巩舒阳)
Welcome to my homepage!
I am a fourth-year Ph.D student of ProbabilityGroup at School of Mathematical Sciences, Peking University. I obtained my B.S. degree in statistics from
Department of Mathematics, Shandong University (GPA ranked 1st/132, honored).
My research interest is probability theory and its intersection with statistical physics, theoretical computer science and statistics. Currently I mainly work on probability theory in high-dimensional settings.
Links: Google Scholar. ORCID. Linkedin.
My Erdős Number is 4.
Email address: lastnamefirstname at stu dot pku dot edu dot cn (you can cc gongsyprob at gmail dot com, for homework submission, please use the gmail address).
Curriculum Vitae
Here is my CV (last update: March 2025).
Research paper
- Detecting correlation efficiently in stochastic block models: breaking Otter's threshold by counting decorated trees. (with Guanyi Chen, Jian Ding and Zhangsong Li), submitted, arXiv.
- A proof of the changepoint detection threshold conjecture in preferential attachment models. (with Hang Du and Jiaming Xu), submitted, arXiv.
- A computational transition for detecting correlated stochastic block models by low-degree polynomials. (with Guanyi Chen, Jian Ding and Zhangsong Li), submitted, arXiv.
- The Umeyama algorithm for matching correlated Gaussian geometric models in the low-dimensional regime. (with Zhangsong Li), submitted, arXiv.
- The algorithmic phase transition of random graph alignment problem (with Hang Du and Rundong Huang), Probability Theory and Related Fields,
arXiv, journal.
- A polynomial-time approximation scheme for the maximal overlap of two independent Erdős–Rényi graphs
(with Jian Ding and Hang Du), Random Structures and Algorithms,
arXiv, journal.
Experience
- Program Associate, Simons Laufer Mathematical Sciences institute (MSRI), January 2025 - Present. Berkeley, United States.
- Visiting PhD student, The Fuqua School of Business, Duke University, September 2024 - Janurary 2025. Host: Jiaming Xu. Durham, United States.
- Visiting PhD student, Department of Statistics and Data Science, Yale University, November 2024, Host: Yihong Wu. New Haven, United States.
- The 2024 CRM-PIMS summer school, July 2024. Montréal, Canada.
Talks
- An introduction to first-passage percolation. (Zhongtai Securities Institute for Financial Studies, Shandong University. October, 2020), Jinan, China
- A polynomial-time approximation scheme for the maximal overlap of two independent Erdös-Rényi graphs. (Zhongtai Securities Institute for Financial Studies, Shandong University. Nov. 7th, 2022), online.
- On cluster expansion and its applications into Ising model--spontaneous magnetization and exponential decay of truncated two-point function in sufficiently Low temperature regime. (Apr. 22, 2023, Peking University), Beijing, China.
- Algorithms and phase transitions in random graph alignment problem. (Sept.11 2023, Peking University), Beijing, China.
- Optimizing the overlap of two independent Erdös-Rényi graphs. (Jan.15 2024, Probability Seminar at Sichuan University), Chengdu, China. slide
- Matching Wishart matrices via Umeyama algorithm. (Sept.9 2024, Peking University), Beijing, China. slide
- Combinatorial Statistics: recent progress on random graph matching and changepoint detection. (March 26, 2025, Shandong University), Jinan, China.
Teaching
Selected Awards
- National Scholarship (2019, Shandong University)
- National Scholarship (2020, Shandong University)
- President Scholarship (2020, Shandong University, top award for undergraduates)
- Schlumberger Scholarship (2023, Peking University)
- President Scholarship (2024, Peking University)