Jiefeng Zhou周杰锋

Ph.D. Student, Computer Science and Engineering
University of South Florida

I am a Ph.D. student in Computer Science and Engineering at the University of South Florida (USF), advised by Prof. Jiajun Huang in the High Performance & Intelligence Lab. I work on high-performance computing and systems for AI, with a focus on collective communication and lossy compression.

Before joining USF, I received my B.S. in Mathematics-Physics Fundamental Science from the Yingcai Honors College at the University of Electronic Science and Technology of China (UESTC). There I was fortunate to be advised by Prof. Yong Deng in the Information Fusion and Intelligent Systems Lab, where I worked on evidence theory and information theory.

News

  • Joining the ICS 2027 Junior Program Committee.
  • hZCCL2 at SC ’26 in Chicago, plus the HV-Coll poster in the ACM Student Research Competition (SRC).
  • Received an SC26 ACM SRC travel grant.
  • MAZ accepted to PPoPP ’27.
  • hZCCL2 accepted to SC ’26.
  • Joined Prof. Jiajun Huang’s High Performance & Intelligence Lab at USF to study high-performance computing.
  • Joined the Tang Lab at the Peking University (PKU) Chengdu Academy for Advanced Interdisciplinary Biotechnologies as a research intern, where I will complete my undergraduate thesis on a language model for single-cell perturbation prediction with Dr. Ning Yang.
  • Joined Prof. Yong Deng’s Information Fusion and Intelligent Systems Lab at UESTC as an undergraduate researcher, working on evidence theory and information theory.

Publications

Google Scholar
  1. MAZ: Advancing the ratio–throughput frontier with multi-dimensional adaptive compression

    J. Zhou, S. Di, F. Cappello, and J. Huang · PPoPP ’27 (to appear)

  2. hZCCL2: Co-designing collective communication with vectorized homomorphic compression

    J. Zhou, S. Di, Y. Guo, Y. Guo, L. Zhang, K. Zhao, R. Thakur, F. Cappello, and J. Huang · SC ’26 (to appear)

  3. HV-Coll: Co-designing collective communication with vectorized homomorphic compression

    J. Zhou · SC ’26 ACM SRC Poster

  4. Limit of the maximum random permutation set entropy

    J. Zhou, Z. Li, K. H. Cheong, and Y. Deng · Physica A, 2025

  5. Generalized information entropy and generalized information dimension

    T. Zhan, J. Zhou, Z. Li, and Y. Deng · Chaos, Solitons & Fractals, 2024

  6. An improved information volume of mass function based on plausibility transformation method

    J. Zhou, Z. Li, and Y. Deng · Expert Systems with Applications, 2024

  7. Random walk in random permutation set theory

    J. Zhou, Z. Li, and Y. Deng · Chaos, 2024

Experience

Education

  • 2025–2030 (expected)
    University of South FloridaPh.D., Computer Science and Engineering · Bellini College of AI, Cybersecurity and Computing
  • 2021–2025
    University of Electronic Science and Technology of ChinaB.S., Mathematics-Physics Fundamental Science · Yingcai Honors College

Industrial and Research Experience

  • 2025–now
    High Performance & Intelligence Lab (π Lab)Research Assistant · advisor Prof. Jiajun Huang · University of South Florida · Tampa
  • 2024–2025
    Tang LabResearch Intern · Peking University (PKU) Chengdu Academy for Advanced Interdisciplinary Biotechnologies
  • 2023–2024
    Information Fusion and Intelligent Systems LabUndergraduate Research Assistant · advisor Prof. Yong Deng · UESTC · Chengdu

Awards

  • 2026Travel Grant, SC26 ACM Student Research Competition
  • 2022–24National Grant ×3; Dream Scholarship, China Education Development Foundation
  • 2022–24Model Student Scholarship ×2; Outstanding Undergraduate Scholarship
  • 2023Top 7%, 17th IEEEXtreme Programming Competition
  • 2023First Prize (top 5%), 23rd UESTC Mathematical Modeling Competition

Service

  • 2026Junior Program Committee, ACM International Conference on Supercomputing (ICS 2027)
  • 2023Peer reviewer, Expert Systems with Applications

© 2026 Jiefeng Zhou · jiefeng@usf.edu · The background is a point cloud drawn as ASCII in real time.