Genghan Zhang
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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) |
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Compilation of Modular and General Sparse Workspaces Genghan Zhang, Olivia Hsu, and Fredrik Kjolstad Conference on Programming Language Design and Implementation (PLDI), June 2024 |
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Blogs
Adaptive Self-improvement LLM Agentic System for ML Library Development Genghan Zhang , Weixin Liang , Olivia Hsu , and Kunle Olukotun March 01, 2025 |