PhD Student
Department of Computer Science
Stanford University
Office: 464 Gates
zgh23 [at] stanford [dot] edu
Curriculum Vitae

I am a computer science PhD student at Stanford University advised by Professor Kunle Olukotun. I was also privileged to work with Professor Fredrik Kjolstad and Professor Azalia Mirhoseini.

Research: My research interests lie in better programming models and systems for domain-specific architectures. I am also interested in optimizing GPU kernels for emerging applications, including sparse and recurrent neural networks.

I graduated from Tsinghua University in 2023 with a bachelor degree in Eletronic Engineering. At Tsinghua, I was fortunate to do research at NICS-EFC Lab and IDEAL Lab.

Selected Publications

Adaptive Self-improvement LLM Agentic System for ML Library Development
Genghan Zhang, Weixin Liang, Olivia Hsu, and Kunle Olukotun
ICLR 2025 Workshop on Reasoning and Planning for Large Language Models; ICLR 2025 DL4C Workshop, May 2025
ICLR 2025 DL4C Workshop Best Paper Award (2/63)
pdf
Compilation of Modular and General Sparse Workspaces
Genghan Zhang, Olivia Hsu, and Fredrik Kjolstad
Conference on Programming Language Design and Implementation (PLDI), June 2024
pdf youtube

Blogs

Adaptive Self-improvement LLM Agentic System for ML Library Development
Genghan Zhang , Weixin Liang , Olivia Hsu , and Kunle Olukotun
March 01, 2025