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 interest is in machine learning systems, with a current focus on distributed machine learning. Recently, I have been building the Grendel-GS system for the emerging and promising neural rendering method: 3D Gaussian Splatting. Previously, I obtained my bachelor’s degree in 2023 from Honored Yao Class, Tsinghua University. I was a Research Assistant at MBZUAI advised by Prof. Eric Xing and Prof. Hao Zhang in Spring 2022. Before that I was advised by Prof. Yang Yuan in Tsinghua on various AI+healthcare topics.
News
[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
Microsoft Deepspeed
May. 2024 – Aug. 2024
Research Scientist Intern
Publications
On Scaling Up 3D Gaussian Splatting Training
Hexu Zhao, *Haoyang Weng, *Daohan Lu, Ang Li, Jinyang Li, Aurojit Panda, Saining Xie
Under Submission to ICLR2025 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