Xiaofeng Sun (孙啸峰)
Ph.D. Candidate
College of Computer Science and Technology
Zhejiang University, Hangzhou
Email: sunxf [at] zju [dot] edu [dot] cn
About me
I am currently a Ph.D. candidate at the College of Computer Science and Technology, Zhejiang University, supervised by Dr. hongyang Chen . Previously, I completed my Bachelor's and Master's degrees in Computer Science and Technology at China University of Petroleum (Beijing), where I was admitted to the integrated Bachelor-Master program with a ranking of 2/119.
News
- Good News is cooming soon~
Research Interests
My research interests primarily lie in Large Language Model Optimization, Deep Learning Systems, and Efficient Model Inference. I am dedicated to addressing the performance and memory bottlenecks in AI model training and inference through algorithm-system co-design. I possess strong communication and teamwork skills, can independently analyze and solve problems, and have a keen interest in deep and challenging work.
Publications
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Minimizing memory footprints for inference on IoTs devices by efficient rematerialization
Xiaofeng Sun, etc.
Published in the Proceedings of ICIC 2023 (CCF-C). -
MEHTA: A Memory-Efficient Optimizer for Transformers with
Hessian Trace Acceleration
Xiaofeng Sun, etc.
Manuscript in preparation, to be submitted soon.
Internship & Project Experience
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Project: National Key R&D Program of China (Oct. 2022 - Sep. 2025)
Key Technologies for AI Large Model Framework Optimization Based on Memory Pooling
Selected Awards and Honours
- Outstanding Graduate of Beijing (2021)
- First-class (2021) and Second-class (2022) Graduate Scholarships
- Advanced Individual in the 70th National Day Parade (2019)