Email: zhongtian.he [at] princeton.edu, hezhongtian1 [at] gmail.com
Hi! I am a PhD student in the theory group at Princeton, advised by Mark Braverman. Before this, I graduated from Yao Class at Tsinghua University in 2022.
Disjoint Paths in Expanders in Deterministic Almost-Linear Time via Hypergraph Perfect Matching [pdf]
Matija Bucic, Zhongtian He, Shang-En Huang, Thatchaphol Saranurak
SODA 2026
Undirected Multicast Network Coding Gaps via Locally Decodable Codes [pdf]
Mark Braverman, Zhongtian He
FOCS 2025
Cactus Representation of Minimum Cuts: Derandomize and Speed up [pdf] [tutorial video]
Zhongtian He, Shang-En Huang, Thatchaphol Saranurak
SODA 2024
Cactus Representations in Polylogarithmic Max-flow via Maximal Isolating Mincuts [pdf] [tutorial video]
Zhongtian He, Shang-En Huang, Thatchaphol Saranurak
SODA 2024
Improved Online Correlated Selection [pdf] [video]
Ruiquan Gao, Zhongtian He, Zhiyi Huang, Zipei Nie, Bijun Yuan, Yan Zhong
FOCS 2021
I have been a teaching assistant in the following courses:
Information Theory and Applications, taught by Ran Raz, Princeton University, Fall 2025
Information Theory and Applications, taught by Ran Raz, Princeton University, Spring 2024
Advanced Algorithm Design, taught by Huacheng Yu, Princeton University, Fall 2023
Theory of Computation, taught by Ran Duan, Tsinghua University, Spring 2022
In Princeton, we run reading groups on Communication Complexity (in 2024), Boolean Function Analysis (in 24/25), and High-Dimensional Expanders (in 2025).
I classify my hobbies into four categories, inspired by algorithmic paradigms:
1. "Deterministic": running, cycling, and reading.
2. "Monte Carlo": soccer, snooker, and poker (Texas hold ‘em).
3. "Las Vegas": research.