91破解版

• PhD, University of California, Riverside;
• MS, Peking University;
• BS, Peking University;

Jinyang Liu is an Assistant Professor in the Department of Computer Science at the 91破解版. He received his Ph.D. degree in Computer Science from the University of California, Riverside in June 2024. Prior to that, he earned a Master鈥檚 degree in Data Science from Peking University in 2019 and a B.S. degree in Mathematics and Applied Mathematics from Peking University in 2016. During his Ph.D. studies, he worked as a long-term research intern at Argonne National Laboratory (ANL). His primary research field is error-bounded lossy compression for scientific data, covering both traditional methods and deep learning鈥揵ased approaches. He also has broad research interests and experience in high-performance computing, large-scale scientific data management and reduction, and deep learning applications in HPC. His work has been published in highly prestigious conferences and journals such as ACM SIGMOD, VLDB, IEEE/ACM SC, IEEE ICDE, ACM ICS, ACM HPDC, IEEE IPDPS, IEEE Cluster, and IEEE TPDS. He has received the Dissertation Year Fellowship award from UCR and Best Paper Nominations from ICS 2023 and HPDC 2025.

Dr. Liu has developed several scientific data error-bounded lossy compressors, including SZ3, QoZ, and cuS

• Shixun Wu*, Jinwen Pan*, Jinyang Liu+, Jiannan Tian, Ziwei Qiu, Jiajun Huang, Kai Zhao, Xin Liang, Sheng Di, Zizhong Chen, Franck Cappello. Boosting Scientific Error-Bounded Lossy Compression through Optimized Synergistic Lossy-Lossless Orchestration. SC25: International Conference for High Performance Computing, Networking, Storage and Analysis. (*: Co-first authors, +: Corresponding author)
• Jinyang Liu*, Pu Jiao*, Kai Zhao, Xin Liang, Sheng Di, Franck Cappello. QPET: A Versatile and Portable Quantity-of-Interest-Preservation Framework for Error-Bounded Lossy Compression. VLDB 2025: 51st International Conference on Very Large Data Bases. (*: Co-first authors)
• Jinyang Liu*, Jiannan Tian*, Shixun Wu*, Sheng Di, Boyuan Zhang, Robert Underwood, Yafan Huang, Jiajun Huang, Kai Zhao, Guanpeng Li, Dingwen Tao, Zizhong Chen, Franck Cappello. CUSZ-i: High-Ratio Scientific Lossy Compression on GPUs with Optimized Multi-Level Interpolation. SC24: International Conference for High Performance Computing, Networking, Storage and Analysis. (*: Co-first authors)
• Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Sian Jin, Zizhe Jian, Jiajun Huang, Shixun Wu, Zizhong Chen, Franck Cappello. High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation. 2024 ACM International Conference on Management of Data (SIGMOD).
• Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello. Dynamic quality metric oriented error bounded lossy compression for scientific datasets. SC22: International Conference for High Performance Computing, Networking, Storage and Analysis (SC).