Haojie WANG

Haojie WANG is an Assistant Researcher in the Department of Computer Science and Technology at Tsinghua University. His research interests include AI Compiler and High Performance Computing. His work has been published in top conferences and journals such as OSDI, ATC, PPoPP, SC, PLDI, TC, TPDS, and others. He has received several awards, including the Best Student Paper Award at ICS 2021 and the Best Paper Runner-up at TPDS 2022. He has also been recognized with the Tsinghua University Outstanding Doctoral Dissertation Award, the Outstanding Graduates of Beijing, and the Young Scientists Fund of the National Natural Science Foundation of China. His research contributions include publications in IEEE Transactions on Computers, Journal of Tsinghua University, and various conference proceedings.

Haojie Wang is a researcher at Tsinghua University with expertise in high-performance computing (HPC), compiler design, and AI compiler technologies. His work focuses on optimizing large-scale machine learning models, tensor programs, and quantum circuit simulations. Wang has developed frameworks for efficient parallel computing, including tools for scalability analysis, performance monitoring, and resource-aware job placement. His research also addresses challenges in big data systems, such as high-bitwidth computation emulation and SQL engines for performance optimization. By integrating advanced compiler techniques with HPC, Wang's contributions aim to enhance computational efficiency across diverse applications.