Yuyang Jin

Yuyang Jin is an Assistant Researcher in the Department of Computer Science and Technology at Tsinghua University. His research interests include parallel computing and performance tools. He has published in top-tier international journals and conferences, including SC, PPoPP, ICS, USENIX ATC, EuroSys, and IEEE TPDS. His research received the 2022 Best Paper Runner-up Award for IEEE TPDS. He co-advises the Tsinghua Student Cluster Team with Dr. Han, Wentao, and Prof. Zhai, Jidong. The team has achieved 19 international champions in student supercomputing challenges at SC, ISC, and ASC. He has been awarded the CCF TCARCH Doctoral Outstanding Dissertation Award, Outstanding Doctoral Dissertation Award of Tsinghua University, the fellowship of China National Postdoctoral Program for Innovative Talents, and the ShuiMu Tsinghua Scholar Program.

Yuyang Jin is a researcher at Tsinghua University specializing in high performance computing and parallel computing. Their work focuses on optimizing parallel applications through graph analysis, performance variance detection, and scalability bottleneck identification. Jin has developed frameworks such as PerFlow and Vapro to automate performance analysis and diagnosis for production-run parallel applications. Their research also explores efficient inference methods for pruned CNN models and unified programming models for heterogeneous high-performance computers. Additionally, Jin investigates lightweight noise detection and the alignment of large language models through context switching. These contributions highlight a strong emphasis on improving scalability, performance, and efficiency in parallel computing systems.