Probability Theory

Shuyang Gong 巩舒阳

FDS Postdoctoral Fellow · Yale University

Hello! Welcome to my homepage!

I am an FDS postdoctoral fellow at the Institute for Foundations of Data Science, Yale University, hosted by Prof. Daniel A. Spielman. Previously, I obtained my Ph.D. degree in probability and mathematical statistics at the School of Mathematical Sciences, Peking University, where I was advised by Prof. Dayue Chen and Prof. Jian Ding. I obtained my B.S. degree in statistics from the Department of Mathematics, Shandong University.

My research interest is probability theory. My Erdős Number is 3.

Google Scholar ↗ ORCID ↗ LinkedIn ↗ CV ↗ (last updated May 2026)

Emailfirstname dot lastname at yale dot edu gongsyprob at gmail dot com

Portrait of Shuyang Gong
SHUYANG GONG / 巩舒阳

Selected research

All research →

    Positions & education

    2026 – present

    FDS Postdoctoral Fellow

    Yale University

    Institute for Foundations of Data Science · Host: Prof. Daniel A. Spielman

    Department of Statistics and Data Science, Yale University

    2021 – 2026

    Ph.D. in Probability and Mathematical Statistics

    Peking University

    School of Mathematical Sciences · Advisors: Prof. Dayue Chen and Prof. Jian Ding

    2017 – 2021

    B.S. in Statistics

    Shandong University

    Department of Mathematics

    Shuyang Gong · Research

    Research

    My research interest is probability theory.

    Preprints

    Publications

    Shuyang Gong · Talks

    Talks

    2026

    • Stable algorithms cannot reliably find isolated perceptron solutions

      Probability and Stochastic Analysis seminar, Chinese Academy of Sciences · Beijing, China

    • Stable algorithms cannot reliably find isolated perceptron solutions

      Shanghai Center for Mathematical Sciences, Fudan University · Shanghai, China

    2025

    • Phase transitions in statistical models: several examples

      Shandong University · Jinan, China

    • A proof of the changepoint detection threshold conjecture in preferential attachment models

      COLT 2025 · Lyon, France

    • A proof of the changepoint detection threshold conjecture in preferential attachment models

      An International Conference on Applied Probability · Beijing, China

    • Asymptotic diameter of preferential attachment model

      YMSC probability seminar, Tsinghua University · Beijing, China · joint with Zhangsong Li

    • Combinatorial Statistics: recent progress on random graph alignment and changepoint detection

      Shandong University · Jinan, China

    2024

    • Matching Wishart matrices via Umeyama algorithm

      Peking University · Beijing, China

    • Optimizing the overlap of two independent Erdős–Rényi graphs

      Probability seminar, Sichuan University · Chengdu, China

    2023

    • Algorithms and phase transitions in random graph alignment problem

      Peking University · Beijing, China

    • On cluster expansion and its applications into Ising model—spontaneous magnetization and exponential decay of truncated two-point function in sufficiently low temperature regime

      Peking University · Beijing, China

    2022

    • A polynomial-time approximation scheme for the maximal overlap of two independent Erdős–Rényi graphs

      Zhongtai Securities Institute for Financial Studies, Shandong University · online

    2020

    • An introduction to first-passage percolation

      Zhongtai Securities Institute for Financial Studies, Shandong University · Jinan, China

    Shuyang Gong · Teaching

    Teaching