Yiyun He

Email: yiyunh4 [ a t ] uci.edu

I am a PhD student from Mathematics Deparment in University of California, Irvine, expected to graduate in 2025. I am honored to work with my advisor, Professor Roman Vershynin. Before that, I obtained my bachelor degree in Mathematics and Applied Mathematics from University of Science and Technology of China in 2020. My personal CV is here.

My research is mainly in probability theory, including data science, differential privacy, random matrices, combinatorics, etc.

I am on the 2024-2025 academic job market for postdoctoral positions.

Publications and Preprints

A note on the sparse Hanson-Wright inequality, with Ke Wang, Yizhe Zhu, preprint, 2024
Online Differentially Private Synthetic Data Generation, with Roman Vershynin and Yizhe Zhu, IEEE Transanctions on Privacy, 2024.
Differentially Private Low-dimensional Synthetic Data from High-dimensional Datasets, with Thomas Strohmer, Roman Vershynin and Yizhe Zhu, Information and Inference, 2024.
Algorithmically Effective Differentially Private Synthetic Data, with Roman Vershynin and Yizhe Zhu, Proceedings of Thirty Sixth Conference on Learning Theory (COLT), PMLR 195:3941-3968, 2023. [conference proceedings].
Strong quantum nonlocality and unextendibility without entanglement in N-partite systems with odd N, with Fei Shi and Xiande Zhang, Quantum, 2023.

Travels and Conferences

Oct 26-27, 2024, AMS Western Sectional Meeting, University of California, Riverside, CA
Aug 6-15, 2024, Princeton Machine Learning Theory Summer School, Princeton University, Princeton, NJ
Jun 17-28, 2024, Random Matrix Theory Summer School, University of Michigan, Ann Arbor, MI
May 20-22, 2024, Random Matrices and Applications Workshop, ICERM, Providence, RI
Apr 27, 2024, Southern California Applied Mathematics Symposium, University of California, San Diego, CA
Feb 25-28, 2024, The 35th International Conference on Algorithmic Learning Theory (ALT 2024), San Diego, CA
Feb 18-23, 2024, Information Theory and Applications Workshop (ITA 2024), San Diego, CA
Jan 21-27, 2024, Desert Discrete Math Workshop, Anza-Borrego Desert Research Center of UCI, Borrego Springs, CA
Jan 3-6, 2024, Joint Mathematics Meeting, San Francisco, CA
Jul 12–15, 2023, 36th Annual Conference on Learning Theory (COLT 2023), Bangalore, India
Jun 26-30, 2023, Princeton Machine Learning Theory Summer School, Princeton University, Princeton, NJ
May 22-26, 2023, Summer School on Random Matrix Theory and Its Applications, the Ohio State University, Columbus, OH
Apr 22, 2023, Southern California Applied Mathematics Symposium, University of California, Irvine, CA
Apr 13-14, 2023, UCLA Synthetic Data Workshop, University of California, Irvine, Los Angles, CA
Feb 12-17, 2023, Information Theory and Applications Workshop (ITA 2023), San Diego, CA
Jun 13-24, 2022, Random Matrix Theory Summer School, University of Michigan, Ann Arbor, MI
May 23-27, 2022, Workshop in Convexity and High-Dimensional Probability, Georgia Institute of Technology, Atlanta, GA
Jul 17-Aug 13, 2016, Tsinghua Yau’s Mathcamp, Tsinghua University, Beijing, China

Teaching Experience

Math 2A Calculus I, Teaching Assistant, UCI, Summer 2024
Directed Reading Program, on the topic Differential privacy, Mentor, UCI, Spring 2024
Math 130B Probability II, Teaching Assistant, UCI, Spring 2024
Math 121A Linear Algebra I, Teaching Assistant, UCI, Fall 2021
Math 121A Linear Algebra I, Reader, UCI, Summer 2021
Math 140A Elementary Analysis, Reader, UCI, Spring 2021
Combinatorics, Teaching Assistant, USTC, Fall 2019

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