HPC / AI cube seal

Jiannan Tian, PhD

Google Scholar·ORCiD·GitHub·CV (PDF)

Jiannan Tian joined Oakland University as a tenure-track Assistant Professor in Fall 2025, and is seeking self-motivated Ph.D. students to start their study from Spring 2026 or later. His research covers scientific computing, large-scale data reduction, data analytics, in situ neural-hybrid data reconstruction, and understanding AI, etc. He is collaborating with many researchers to innovate in building efficient HPC/AI cyberinfrastructure.

During his Ph.D. study, he worked as a student intern at Argonne National Laboratory (ANL), and published peer-reviewed work at top-tier venues. He is also the leading developer of open-source pSZ/cuSZ (link), a reference design of GPU-accelerated scientific lossy compressor.

Ph.D. positions For students interested in Ph.D. study, please reach out to with a brief introduction, CV, and academic transcripts.

Research Theme

'08Jaguar'12Blue Waters'17CORI'18Summit'20Fugaku'21Frontier'23Aurora100101102103(normalized)7.3k13.3k17k80k358k160k64.5kChart adapted from: Cappello et al.,doi.org/10.1177/1094342019853336Peak FLOPS (PFlops)Memory Size (PB)Storage Bandwidth (TB/s)Compute races ahead, memory and storage lag.

Latest news

  • Upcoming

    We are hosting the ECHO Workshop: The 1st International Workshop on Edge-Cloud-HPC Operational Continuum, in conjunction with SC '26.

  • Upcoming

    We are hosting IWBDR-6: The 6th International Workshop on Big Data Reduction, with BigData '26.

  • Our team got one paper accepted at ICS '26 (1st cycle).

  • Our team got two papers accepted at IPDPS '26.

  • Our team got three papers accepted at SC '25 (acc. rate: 21.2%).

  • Our NSF CSSI project "SGCC" was awarded ($180K of $600K, PI). Many thanks to NSF!

  • Our "NeurLZ" paper was accepted at ICS '25.

  • One journal paper was accepted at CSUR.

  • Our "SZ3" paper received "the 2023 Best Paper Award" by the IEEE Computer Society Publications Board.

Selected publications

Full list on Google Scholar or in my CV (PDF).

  1. ICS '25NeurLZ: An online neural learning-based method to enhance scientific lossy compression Wenqi Jia, Zhewen Hu, Youyuan Liu, Boyuan Zhang, Jinzhen Wang, Jinyang Liu, Wei Niu, Stavros Kalafatis, Junzhou Huang, Sian Jin, Daoce Wang, Jiannan Tian*, Miao Yin. The ACM International Conference on Supercomputing, Salt Lake City, June 8–11, 2025. * I co-advised in this paper.

  2. SC '24cuSZ-i: High-Fidelity Error-Bounded Lossy Compression for Scientific Data on GPUs Jinyang Liu*, Jiannan Tian*, Shixun Wu*, Sheng Di, Boyuan Zhang, Yafan Huang, Kai Zhao, Guanpeng Li, Dingwen Tao, Zizhong Chen, and Franck Cappello. Supercomputing Conference 2024, Atlanta, GA, November 12–17, 2024. * equal contribution.

  3. VLDB '24FCBench: Cross-Domain Benchmarking of Lossless Compression for Floating-point Data [Experiment, Analysis & Benchmark] Xinyu Chen, Jiannan Tian, Ian Beaver, Cynthia Freeman, Jianguo Wang, and Dingwen Tao. 50th International Conference on Very Large Databases, Guangzhou, China (and hybrid), August 25–29, 2024.

  4. TBD '23SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors Xin Liang, Kai Zhao, Sheng Di, Sihuan Li, Robert Underwood, Ali M. Gok, Jiannan Tian, Junjing Deng, Jon C. Calhoun, Dingwen Tao, Zizhong Chen, and Franck Cappello. IEEE Transactions on Big Data.

    2023 Best Paper Award, IEEE Computer Society Publications Board

  5. HPDC '23Fast GPU Lossy Compressor for Scientific Computing Applications Boyuan Zhang*, Jiannan Tian*, Sheng Di, Xiaodong Yu, Dingwen Tao, and Franck Cappello. The ACM International Symposium on High-Performance Parallel and Distributed Computing (in conjunction with the Federated Computing Research Conference), Orlando, Florida, June 20–23, 2023. * equal contribution.

  6. CLUSTER '21Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs Jiannan Tian, Sheng Di, Xiaodong Yu, Cody Rivera, Kai Zhao, Sian Jin, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello. Proceedings of the 2021 IEEE International Conference on Cluster Computing, (Virtual Event) Portland, OR, September 7–10, 2021.

  7. IPDPS '21 Huffman Coding: Toward Extreme Performance on Modern GPU Architectures Jiannan Tian, Cody Rivera, Jieyang Chen, Dingwen Tao, Sheng Di, and Franck Cappello. IEEE International Parallel & Distributed Processing Symposium, (Virtual Event) Portland, OR, May 17–21, 2021.

  8. PACT '20cuSZ: A High-Performance GPU Based Lossy Compression Framework for Scientific Data Jiannan Tian, Sheng Di, Kai Zhao, Cody Rivera, Megan Hickman Fulp, Robert Underwood, Sian Jin, Xin Liang, Jon Calhoun, Dingwen Tao, and Franck Cappello. The 29th International Conference on Parallel Architectures and Compilation Techniques, (Virtual Event) Atlanta, GA, October 3–7, 2020.

  9. PPoPP '20waveSZ: A Hardware-Algorithm Co-Design of Efficient Lossy Compression for Scientific Data Jiannan Tian, Sheng Di, Chengming Zhang, Xin Liang, Sian Jin, Dazhao Cheng, Dingwen Tao, and Franck Cappello. Proceedings of the 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, San Diego, CA, February 22–26, 2020.