I am an Assistant Professor of Computer Science at the University of Texas Rio Grande Valley. I received my Ph.D. in Computer Science from the University of Kentucky in May 2026. My research focuses on high-performance computing, error-bounded lossy compression, and large-scale system optimization.

News

• Jul 2026 — Awarded a NAIRR Start-Up allocation (project NAIRR260309) at UTRGV: 2,000 GPU hours on PSC Bridges-2 GPU (2026-07-14 to 2026-10-13).
• Jul 2026 — Awarded a 200K-credit NSF ACCESS Explore allocation (project CIS261303: Deep Learning-Based Mitigation of Artifacts in Error-Bounded Lossy Compression for Scientific Data) to support GPU/HPC compute for my research. Thanks, NSF!

Research Highlights

• Error-bounded lossy compression for large-scale scientific data — designing compressors that respect user-specified error tolerances while preserving quantities of interest for downstream analysis.
• Artifact characterization and mitigation in error-controlled lossy compressors (HiPC’23, IPDPS’26).
• Quantity-of-Interest preservation frameworks for scientific data compression (VLDB’22, VLDB’25).
• HPC systems and GPU acceleration for compression pipelines and large-scale scientific data movement.

Education

• Ph.D. in Computer Science (May 2026), University of Kentucky, Lexington, KY
• M.S. in Civil Engineering, Missouri University of Science and Technology
• B.Eng. in Civil Engineering, Xi’an Jiaotong University

Selected Publications

• [IPDPS’26] Mitigating Artifacts in Pre-quantization Based Scientific Data Compressors with Quantization-aware Interpolation. Jiao, Pu, Sheng Di, Jiannan Tian, Mingze Xia, Xuan Wu, Yang Zhang, Xin Liang, Franck Cappello.
• [VLDB’25] QPET: A Versatile and Portable Quantity-of-Interest-Preservation Framework for Error-Bounded Lossy Compression. Liu, Jinyang*, Jiao, Pu*, Zhao, Kai, Liang, Xin, Di, Sheng, Cappello, Franck (*Equal contribution)
• [IPDPS’25] Improving the Efficiency of Interpolation-Based Scientific Data Compressors with Adaptive Quantization Index Prediction. Jiao, Pu, Di, Sheng, Xia, Mingze, Wu, Xuan, Liu, Jinyang, Liang, Xin, Cappello, Franck
• [HiPC’23] Characterization and Detection of Artifacts for Error-Controlled Lossy Compressors. Jiao, Pu, Di, Sheng, Liu, Jinyang, Liang, Xin, Cappello, Franck
• [VLDB’22] Toward Quantity-of-Interest Preserving Lossy Compression for Scientific Data. Jiao, Pu, Di, Sheng, Guo, Hanqi, Zhao, Kai, Tian, Jiannan, Tao, Dingwen, Liang, Xin, Cappello, Franck

Contact

• Email: pu.jiao [at] utrgv [dot] edu
• Website: https://jpcoding.github.io
• LinkedIn: https://www.linkedin.com/in/pu-jiao-4b309b212/
• GitHub: https://github.com/jpcoding
• Google Scholar: https://scholar.google.com/citations?user=6blhwnoAAAAJ&hl=en