Regular biography
Dr. Mingxing ZHANG is an Associate Professor in the Department of Computer Science and Technology at Tsinghua University. His research interests include distributed systems and new hardware technologies. He has published over twenty papers in leading conferences and journals, such as OSDI, SOSP, ASPLOS, HPCA, FSE, VLDB, ATC, and EuroSys. He obtained his Ph.D. degree from Tsinghua University in 2017. Before joining Tsinghua in 2022, he served as the chief algorithm expert and head of the Sangfor Innovation Institute at Sangfor Technologies.
Scholar-generated biography
Mingxing Zhang is a researcher at Tsinghua University specializing in Parallel Systems. His work focuses on optimizing data processing in distributed and memory systems, with an emphasis on reducing communication overhead and improving efficiency in graph processing and large-scale machine learning applications. Zhang's research includes developing novel architectures for serving large language models (LLMs), such as Mooncake, which centers on KVCache and aims to minimize computation through efficient storage. He has also contributed to persistent memory systems, durable transactions, and scalable out-of-core graph processing frameworks. His publications highlight innovations in PIM-based graph processing, memory management, and system-level optimizations for high-performance computing.