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I am a Lecturer (Assistant Professor) at the School of Computer Science at the University of Leeds. I am also a member of the Distributed Systems and Services Group at Leeds. I am a recipient of the 2023 ACM SIGHPC China Doctoral Dissertation Award.
My research broadly covers computer architecture, compilers, heterogeneous computing, distributed systems, and deep learning. My current research interests include two main areas: (1) building system software using large language models, and (2) creating scalable and cost-effective infrastructures for AI applications:
Large Language Model for System Software: I am interested in how to use the Large Language Model (LLM) to construct compilers and decompilers to optimize programs and lift binary codes effectively.
Performant and cost-effective infrastructures for AI applications: I work to design and implement Deep Learning (DL) Compilers and frameworks to improve the performance and energy efficiency of emerging AI applications on heterogeneous computing platforms.
PhD Artificial Intelligence
Institute of Computing Technology, Chinese Academic of Sciences
BSc Computer Science and Technology
Tianjin University
My research focuses on building system software that is cost-effective and easy to use.
Systems for AI
I am working on developing compilers and frameworks to improve the performance of AI applications. This line of research has successfully produced several papers in top-level computer science conferences, including:
[IPDPS'25], ICCAD'24, ASPLOS'24,
ATS'21,
TACO'19.
AI for Systems
Since 2023, I have been using AI to build system software in a cost-effective way. Several important papers have been published in:
IPDPS'25,
ACL'24,
ICSE'24.
We are always looking for self-motivated PhD students.
For candidates with a good research track record, full PhD scholarships are available.
Feel free to email me if you are interested.
We are excited to help industry companies solve their real-world problems. Please reach out to collaborate! 😃
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