Hexu Zhao
Office: 424, 60 5th Ave, New York, NY 10011
Work Email: hz3496 [at] nyu [dot] edu
Bio
I am a Ph.D. student of Computer Science at NYU Courant, advised by Prof. Jinyang Li and Prof. Aurojit Panda. My research focuses on Machine Learning System, especially the emerging niche of System for Gaussian Splatting. From a systems perspective, I leverage both distributed computation and kernel optimization techniques. From a workload perspective, I optimize for both static and dynamic scene reconstruction. Previously, I obtained my bachelor’s degree in 2023 from Honored Yao Class, Tsinghua University. In high school, I taught myself to win Zibo City’s first National Informatics Olympiad gold medal (NOI2018).
"I’ve always tried to find and take on the small things in this world that I’m meant, more than anyone else, to do."
News
[01/2025] I will join NVIDIA Spatial Intelligence Lab as a Research Scientist Intern in 2025 Summer. See you in Santa Clara!
[03/2024] I will join Microsoft DeepSpeed Team as a Research Scientist Intern in 2024 Summer. See you in Seattle!
Education
New York University Courant Institute
Sept. 2023 -- Present
Ph.D. in Computer Science, advised by Prof. Jinyang Li and Prof. Aurojit Panda
Tsinghua University
Sept. 2019 -- June 2023
B.Eng. in Computer Science (Honored Yao Class)
Experience
NVIDIA Spatial Intelligence Lab
May. 2025 – Now
Research Scientist Intern
Microsoft Deepspeed
May. 2024 – Aug. 2024
Research Scientist Intern
Publications
CLM: Removing the GPU Memory Barrier for 3D Gaussian Splatting
*Hexu Zhao, *Xiwen Min, Xiaoteng Liu, Moonjun Gong, Yiming Li, Ang Li, Saining Xie, Jinyang Li, Aurojit Panda
ASPLOS 2026
On Scaling Up 3D Gaussian Splatting Training
Hexu Zhao, *Haoyang Weng, *Daohan Lu, Ang Li, Jinyang Li, Aurojit Panda, Saining Xie
ICLR2025 Oral arXiv Code Project Page
On Optimizing the Communication of Model Parallelism
*Yonghao Zhuang, *Hexu Zhao, Lianmin Zheng, Zhuohan Li, Eric P. Xing, Qirong Ho, Joseph E. Gonzalez, Ion Stoica, Hao Zhang
MLSys2023 arXiv
Fully Hyperbolic Neural Networks
Weize Chen, Xu Han, Yankai Lin, Hexu Zhao, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou
ACL2022 arXiv
Development of a Doctor-in-the-loop Interpretation Framework for Insulin Titration in Diabetes: a Proof-of-concept Study
*Haowei He, *Zhen Ying, Biao Li, Yujuan Fan, Ping Wang, Jiaping Lu, Liming Wu, Hexu Zhao, Xiaoying Li, Yang Yuan, Ying Chen
In submission to The Lancet Diabetes & Endocrinology Journal