About me

I am currently pursuing a combined MS/PhD program at KAUST in Saudi Arabia, under the guidance of Prof. David Elliot Keyes. I completed my Bachelor of Science at Xidian University, China, in 2021.

My research is focused on high-performance computing (HPC), supercomputing (SC), and artificial intelligence (AI).

I’ve cultivated a deep understanding of NVIDIA GPU architectures, including Pascal, Volta, Turing, Ampere, and Hopper. My experience extends to optimizing at the instruction level for these GPUs. Additionally, I possess comprehensive knowledge of the source code and key implementation details of various open-source libraries, such as PyTorch and CUTLASS, and I have actively contributed to several of these projects.

News

[October 2024] Twp papers were accepted to the Neural Information Processing Systems (NeurIPS) 2024 workshop on AFM.

[September 2024] One paper was accepted to the Conference on Empirical Methods in Natural Language Processing (EMNLP) 2024.

[July 2024] I started my internship at NVIDIA Research, US.

[July 2024] One paper was accepted as a Gordon Bell Prize Finalist by the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC) 2024.

[June 2024] I received KAUST Dean’s Award for Fall 2024.

[November 2023] One paper was accepted to Journal of Machine Learning Research (JMLR).

[October 2023] One paper was accepted to Neural Information Processing Systems (NeurIPS) 2023 workshop on ENLSP.

[September 2023] I enrolled in the MS/PhD program at KAUST, Saudi Arabia.