About Me
I am Chenyu Jiang (江宸宇), a final-year Ph.D. candidate in the School of Computing and Data Science at The University of Hong Kong, advised by Prof. Chuan Wu. I received my B.Sc. in Computer Science from The Chinese University of Hong Kong in 2020. My research focuses on optimizing distributed LLM training systems.
In my spare time, I like to take photos. You can find some of them here.
📄 Recent Publications
[SOSP’25] Chenyu Jiang, Zhenkun Cai, Ye Tian, Zhen Jia, Yida Wang, Chuan Wu, DCP: Addressing Input Dynamism in Long-Context Training via Dynamic Context Parallelism
[ Paper | Slides | GitHub ][MLSys’24] Chenyu Jiang, Ye Tian, Zhen Jia, Chuan Wu, Yida Wang, Shuai Zheng, Lancet: Accelerating Mixture-of-Experts Training by Overlapping Weight Gradient Computation and All-to-All Communication
[ Paper | Slides | GitHub ][EuroSys’24] Chenyu Jiang, Zhen Jia, Yida Wang, Shuai Zheng, Chuan Wu, DynaPipe: Optimizing Multi-task Training through Dynamic Pipelines
[ Paper | Slides | GitHub ][MLSys’22] Hanpeng Hu, Chenyu Jiang, Yuchen Zhong, Yanghua Peng, Chuan Wu, Yibo Zhu, Haibin Lin, dPRO: A Generic Performance Diagnosis and Optimization Toolkit for Expediting Distributed DNN Training
[ Paper | GitHub ]
🎓 Education
- Ph.D. in Computer Science, The University of Hong Kong (advised by Prof. Chuan Wu)
2020 - 2025 - B.Sc. in Computer Science, The Chinese University of Hong Kong
2016 - 2020
💼 Experience
- LLM Pretraining Team (Internship) @ Meituan, May 2025 - Nov 2025
- Performance analysis and optimization for low-precision training
- Applied Scientist Intern @ AWS, Jun 2021 - Feb 2025
- Research on LLM training systems (see DCP, DynaPipe and Lancet papers for details)
🏆 Selected Awards
- HKU University Postgraduate Fellowship, 2020
- Professor Charles K. Kao Research Exchange Scholarship, 2019
- ELITE Stream Student Scholarship, 2017-2019
- CSE Outstanding Academic Performance, 2018-2019
- Wu Yee Sun College Academic Excellence Scholarship, 2017-2018