Hexu Zhao 赵和旭

Email: hz3496 [at] nyu [dot] edu

[Google Scholar] [GitHub] [LinkedIn]
About Research About Me (as I see it)

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 Systems, especially 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.

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)

Industry Internships

NVIDIA Spatial Intelligence Lab, May 2025 – Dec. 2025
Research Scientist Intern
Project: Large-scale 3D point cloud perception system built on Point Transformer V3 and fVDB.
Microsoft DeepSpeed, May 2024 – Aug. 2024
Research Scientist Intern
Project: Fine-grained in-kernel overlapping of GEMM and collective communication.

Publications

Scaling Point-based Differentiable Rendering for Large-scale Reconstruction
Hexu Zhao, Xiaoteng Liu, Xiwen Min, Jianhao Huang, Youming Deng, Yanfei Li, Ang Li, Jinyang Li, Aurojit Panda
In submission [arXiv]
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 [arXiv] [Code] [Project]
On Scaling Up 3D Gaussian Splatting Training
Hexu Zhao, *Haoyang Weng, *Daohan Lu, Ang Li, Jinyang Li, Aurojit Panda, Saining Xie
ICLR 2025 Oral [arXiv] [Code] [Project]
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
MLSys 2023 [arXiv]
Fully Hyperbolic Neural Networks
Weize Chen, Xu Han, Yankai Lin, Hexu Zhao, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou
ACL 2022 [arXiv]
Development of a Doctor-in-the-loop Interpretation Framework for Insulin Titration in Diabetes
*Haowei He, *Zhen Ying, Biao Li, Yujuan Fan, Ping Wang, Jiaping Lu, Liming Wu, Hexu Zhao, Xiaoying Li, Yang Yuan, Ying Chen
In submission

My Past

I was born in a small city (Zibo, Shandong) in China.

In my childhood, I only cared about playing, carefree, with more than enough joy and love from my parents.

In middle school, I had exactly the same joys and troubles as any other Chinese teenager going through puberty.

In high school, I set out to become Zibo's first-ever National Olympiad in Informatics gold medalist — by self-studying and giving up on Gaokao prep entirely — and after going through enormous pain and pressure, I made it. I got to experience being a labeled "local legend," which pretty much cured me of caring about external titles and rankings.

In college, I was at Tsinghua Yao Class. Driven by broad curiosity, I tried everything I had the chance to try, but never went deep on anything. Just enough to get by (for example, I graduated). I also met all kinds of people and had many unforgettable conversations. But to be honest, it was a time of feeling a bit lost.

During my PhD at NYU, I experienced another stretch of passion. I found a niche in Gaussian Splatting systems that most people had overlooked, and went all in for 2.5 years. I got to experience the full cycle of research and the AI academic world, pretty interesting. I also had a great life in NYC along the way.

Each of these shaped me in ways I didn't expect. I can't wait to see what finds me next...