About me
I am a Ph.D. student in Computer Science at King Abdullah University of Science and Technology (KAUST), advised by Prof. David E. Keyes. I received my B.Eng. in Electronics Engineering from Xidian University, China, in 2021.
My research focuses on rethinking classical numerical algorithms for modern heterogeneous architectures. I study the co-design of numerical methods — including sparse factorizations and finite element discretizations — alongside algorithmic scheduling and GPU architecture, with the goal of exposing and exploiting mathematical structure under extreme parallelism. Rather than treating hardware constraints as obstacles, I use them as a lens to investigate how sparsity, numerical stability, and task granularity must be reformulated when traditional CPU-centric assumptions no longer hold. This perspective has led to contributions spanning scientific computing and machine learning systems, with publications at SC, NeurIPS, ICML, ICS, and ECCV, and recognition as a Gordon Bell Prize Finalist at SC’24.
I have deep expertise in NVIDIA GPU architecture and have made open-source contributions to projects including CUTLASS and PyTorch. I have held research positions at NVIDIA Research, ETH Zürich (HiPEAC Grant), Baidu (ERNIE Star), University of Edinburgh, and MEGVII Inc.
News
[April 2026] I was selected as one of the 200 Young Researchers worldwide to attend the 13th Heidelberg Laureate Forum (HLF).
[April 2026] One paper was accepted to the International Conference on Supercomputing (ICS) 2026.
[September 2025] One paper was accepted to the Conference on Neural Information Processing Systems (NeurIPS) 2025.
[July 2025] One paper was accepted to the Conference on Language Modeling (COLM) 2025.
[June 2025] One paper was accepted to the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC) 2025.
[May 2025] I was selected as a Baidu ERNIE Star (「文心·新星」顶尖技术人才计划) and began my internship at Baidu, China.
[February 2025] One paper was accepted to the International Supercomputing Conference (ISC High Performance) 2025.
[September 2024] One paper was accepted to the Conference on Empirical Methods in Natural Language Processing (EMNLP) 2024.
[July 2024] I started an internship at NVIDIA Research, US.
[July 2024] One paper was selected as a Gordon Bell Prize Finalist at the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC) 2024.
[June 2024] I received the KAUST Dean’s Award for Fall 2024.
[November 2023] One paper was accepted to the Journal of Machine Learning Research (JMLR).
[September 2023] I enrolled in the MS/PhD program at KAUST, Saudi Arabia.