About Me
I am an assitant researcher at the School of Computer Science, University of Science and Technology of China. My research interests lie in various topics related to computer systems such as distributed LLM training and inference systems, LLM algorithm and system co-design technology, large scale GNN computing frameworks and etc, particularly in improving performance and easy-of-use of the above mentioned systems.
Before joining USTC, I was a principal engineer of HUAWEI company at Theory Lab of 2012 Labs, and working on the research of large scale DNN training and inference systems.
In 2021, I received my PhD degree in computer science from Advanced Data Systems Lab (ADSL), University of Science and Technology of China (USTC) under the supervision of Yinlong Xu and Cheng Li. During my PhD study, I work closely with Cheng Li, Feng Yan and Ruichuan Chen. I obtained my B.S degree at USTC too.
News
2026
- Best Paper
Teaching the Old Dog New Tricks received the OSDI 2026 Best Paper Award.
- Publication
Accelerating Long-Tail Generation in Synchronous RLHF Training was accepted by ICPP 2026.
- Publication
- Publication
- Publication
- Publication
2025
- Career
Joined the School of Computer Science and Technology at USTC.
- Publication
- Award
Received the Spark Award, First Prize.
- Award
Received the Flash Storage SPDT President Award - United We Stand Award.
- Award
Received the Grand Prize of the Dayu Water Control Key Project.
2024
- Publication
- Award
Received the Spark Award for LLM Inference, Issue 77.
- Award
Received the Innovation Pioneer Award, First Prize.
- Award
2023
- Award
Received the Team Gold Medal Award.
- Award
Received the Innovation Pioneer Award, First Prize.
- Publication
A Survey on Auto-Parallelism of Neural Networks Training was published in IEEE TPDS.
- Publication
2022
- Publication
- Award
Received the ACM SIGCSE China Outstanding Doctoral Dissertation Award.
2021
- Publication
- Career
Joined Huawei in Hangzhou, China.
- Career
- Publication