Zhangsong Li

Activities

Talks

  • July 2026

    The 4th Joint Conference on Statistics and Data Science

    Fundamental limits of community detection in contextual multi-layer stochastic block models.

    Guiyang, China

  • July 2026

    The 59th IEEE International Symposium on Information Theory

    Detection and reconstruction of a random hypergraph from noisy graph projection.

    Guangzhou, China

  • June 2026

    AMSS Stochastic Analysis Seminar (Chinese Academy of Sciences)

    Recent progress on tensor PCA: From Kikuchi spectral algorithm to tensor networks.

    Beijing, China

  • December 2025

    Peking University Sino-Russian Student Mathematical Seminar

    The algorithmic phase transition for correlated spiked models.

    Beijing, China

  • August 2025

    The 29th International Conference on Randomization and Computation

    Algorithmic contiguity from low-degree conjecture and applications in correlated random graphs.

    Berkeley, United States

  • July 2025

    The 38th Annual Conference on Learning Theory

    Robust random graph matching in Gaussian models via vector approximate message passing.

    Lyon, France

  • June 2025

    International Conference on Applied Probability

    Robust random graph matching in Gaussian models via vector approximate message passing.

    Beijing, China

  • May 2025

    YMSC Probability Seminar

    Asymptotic diameter of preferential attachment model (joint with Shuyang Gong).

    Beijing, China

  • March 2025

    Tsinghua University Statistics Seminar

    Recent progress on random graph matching problems.

    Beijing, China

  • January 2024

    Tsinghua Sanya International Mathematics Forum

    Low-degree hardness of detection for correlated Erdős-Rényi graphs.

    Sanya, China

  • June 2023

    Peking University Elite Training Program

    A polynomial-time iterative algorithm for random graph matching with non-vanishing correlation.

    Beijing, China

Teaching Assistant

  • Fall 2026

    Advanced Calculus (I)

  • Spring 2025

    Probability Theory

  • Fall 2024

    Advanced Probability Theory

  • Fall 2023

    Applied Stochastic Process (Honor)