Pu Jiao

Pu Jiao

PhD candidate focused on HPC, lossy compression, and large-scale system optimization.

Pu Jiao

PhD Candidate in Computer Science at the University of Kentucky. My research focuses on high-performance computing, error-bounded lossy compression, and large-scale system optimization.

Highlights

  • Programming: C++ (Advanced), Python (Advanced), JavaScript, SQL, R, MATLAB
  • Frameworks: MPI, OpenMP, CUDA, NumPy, Pandas, SciPy, scikit-learn, TensorFlow
  • Cloud & Infra: AWS, Docker, Kubernetes, Linux/Unix, Git, CI/CD
  • Databases: MongoDB, MySQL, SQLite, Redis
  • Specializations: HPC, algorithm optimization, data analytics, ML

Education

  • Ph.D. in Computer Science (Expected 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

  • [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: jiaopujp [at] gmail [dot] com
  • Website: https://jpcoding.github.io
  • LinkedIn: https://www.linkedin.com/in/pu-jiao-4b309b212/
  • GitHub: https://github.com/jpcoding