Sixu Li
I am Sixu Li ("Sixu" is pronounced as "si-hsu" or "sue-hsu"), currently a Ph.D. student at the Georgia Institute of Technology, advised by Prof. Yingyan (Celine) Lin. I received the B.Eng. degree at the University of Electronic Science and Technology of China in 2021, advised by Prof. Jun Zhou.
I have published several papers in peer-reviewed journals & conferences, including TCAS-I/II, TBioCAS, ICCAD, ISCA, MICRO, etc. I have led & participated in several tape-outs in 28nm, 40nm, 55nm, and 65nm.
My research interests are
Computer Architecture
Digital Circuits & Systems
[CV]
Education
B.Eng. in Communication Engineering, University of Electronic Science and Technology of China, (电子科技大学), 2017 - 2021
Ph.D. Student in Electronic and Computer Engineering, Rice University, 2022 - 2023 (Transferred to Gatech)
Ph.D. Student in Computer Science, Georgia Institute of Technology, 2023 - Present
Internship Experience
NVIDIA - Santa Clara
NVIDIA Research - ASIC & VLSI Research
May. 2024 - Jul. 2024: Research Intern
May. 2025 - : Research Intern
Sensetime - Beijing
Research Center - Department of High-Performance Computing
Jan. 2021 - Jun. 2021: Research Intern
Work Experience
Sensetime - Shanghai
Research Center - Department of High-Performance Computing
Jun. 2022 - Jul. 2022: System Researcher
Jul. 2021 - May 2022: Assistant System Researcher
Awards
2025 ML and Systems Rising Star by MLCommons
First Prize out of 150+ International Teams – ICCAD Tiny ML Contest 2022
Selected Publications (Team Leader and/or Primary Contributor)
GauRast: Enhancing GPU Triangle Rasterizers to Accelerate 3D Gaussian Splatting
62th ACM/IEEE Design Automation Conference (DAC), 2025
Sixu Li, Ben Keller, Yingyan (Celine) Lin, Brucek Khailany
[arxiv]
Fusion-3D: Integrated Acceleration for Instant 3D Reconstruction and Real-Time Rendering
Best Paper Award at MICRO'24
IEEE/ACM International Symposium on Microarchitecture (MICRO), 2024
Sixu Li, Yang Zhao, Chaojian Li, Bowei Guo, Jingqun Zhang, Wenbo Zhu, Zhifan Ye, Cheng Wan, Yingyan (Celine) Lin
[IEEE]
Instant-3D: Instant Neural Radiance Fields Training Towards Real-Time AR/VR 3D Reconstruction
RT-NeRF: Real-Time On-Device Neural Radiance Fields Towards Immersive AR/VR Rendering
An Ultra-Energy-Efficient and High Accuracy ECG Classification Processor with SNN Inference assisted by On-chip ANN Learning
Top 20% Cited Paper at TBioCAS'22
IEEE Transactions on Biomedical Circuits and Systems (TBioCAS), 2022
Ruixin Mao, Sixu Li, Zhaomin Zhang, Zihan Xia, Jianbiao Xiao, Zixuan Zhu, Jiahao Liu, Weiwei Shan, Liang Chang, Jun Zhou
[IEEE]
A Fast and Energy-Efficient SNN Processor With Adaptive Clock/Event-Driven Computation Scheme and Online Learning
Top 3.6% Cited Paper at TCAS-I'21
IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I), 2021
Sixu Li, Zhaomin Zhang, Ruixin Mao, Jianbiao Xiao, Liang Chang, Jun Zhou
[IEEE]
Service
AD/AE Reviewer: SC25 Reproducibility Committee
AD/AE Reviewer: SC24 Reproducibility Committee
Reviewer: IEEE Transactions on Circuits and Systems for Video Technology
Reviewer: IEEE Access
Reviewer: The Eighth Annual Conference on Machine Learning and Systems (MLSys 2025)
Reviewer: IEEE Transactions on Parallel and Distributed Systems
Reviewer: IEEE Transactions on Circuits and Systems for Artificial Intelligence
Reviewer: IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Reviewer: IEEE Transactions on Biomedical Circuits and Systems
Reviewer: IEEE Transactions on Circuits and Systems II: Express Briefs
Reviewer: International Journal of Data Science and Analytics
Reviewer: Journal of Real-Time Image Processing
Reviewer: Journal of Supercomputing