Jiajun Huang

Jiajun Huang

CS Assistant Professor at USF

About me

Hi, my name is Jiajun Huang (黄嘉俊). I will be joining the University of South Florida (USF) as an Assistant Professor in Fall 2025 and am hiring multiple Ph.D. students. I am currently a CS Ph.D. candidate at the University of California, Riverside supervised by Dr. Zizhong Chen, and I will be graduating in June 2025. I have also been a long-term research intern at the MPICH team and SZ team in the Argonne National Laboratory, where I have collaborated with Dr. Sheng Di, Dr. Yanfei Guo, Dr. Rajeev Thakur, and Dr. Franck Cappello.

I am the founder of ZCCL.org, an initiative developed in collaboration with scientists at Argonne National Laboratory. ZCCL.org is dedicated to advancing both compression and communication and has introduced the first compression-accelerated collective communications library–ZCCL, enabling direct communication and computation with compressed data. You can explore my publications here. Feel free to reach out to me at jhuan380(at)ucr.edu.

Job Opportunities

I am actively recruiting 3–4 highly motivated Ph.D. students with full scholarships to join my research group. Areas of focus include high-performance computing and communication, high-performance deep learning, parallel & distributed computing, and big data management & analytics.

Click here for more details before reaching out via email.

News

Research Interests

  • High Performance Computing and Communication
  • High Performance Deep Learning
  • Distributed and Parallel Computing/System
  • Big Data Management and Analysis

Educational Background

Selected Awards

  • First Place Award at ACM Student Research Competition (Graduate) in SC23
  • Dissertation Completion Fellowship Award, UC Riverside
  • Dean's Distinguished Fellowship, UC Riverside
  • ACM SRC Travel Grant for SC23
  • NSF Student Travel grant for IEEE Cluster 2023
  • James Watt Innovative Talent Scholarship, (3%)
  • 1st Class Academic Scholarship, (3%)
  • UESTC Outstanding Student Scholarship, (5%) thrice
  • Excellent bachelor’s degree thesis (3%)
  • Outstanding Individual of UESTC Summer Camp, twice
  • Glasgow Excellent Volunteer Certificate
  • Outstanding Individual of Summer Social Practice

Students

  • Benjamin De Jong (Elmhurst Jans Fellow & Summer Intern from Argonne National Laboratory)

Talks & Presentations

  • [2/2025] Advancing Exascale Collective Communications with Co-Designed Compression, Research Seminar, University of South Florida, Tampa, Florida, USA
  • [1/2025] Advancing Exascale Collective Communications with Co-Designed Compression, Research Seminar, The University of Alabama, Tuscaloosa, Alabama, USA
  • [9/2024] Accelerating Collective Communication with Error-Bounded Lossy Compression, Research Seminar, Tokyo Institute of Technology, Tokyo, Japan
  • [9/2024] FT K-means: A High-Performance K-means on GPU with Fault Tolerance, Papaer presentation, Cluster '24, Kobe, Japan
  • [9/2024] Codesigning Compression with Communication, Invited talk, FZ Workshop, The Ohio State University, Columbus, Ohio, USA
  • [6/2024] Accelerating Collective Communication with Error-Bounded Lossy Compression, Research Seminar, RIKEN Center for Computational Science (R-CCS), Tokyo, Japan
  • [6/2024] Accelerating Collective Communication with Error-Bounded Lossy Compression, Invited talk, CASS Community MPICH BoF, Online
  • [6/2024] gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters, Paper presentation, ICS '24, Kyoto, Japan
  • [5/2024] An Optimized Error-controlled MPI Collective Framework Integrated with Lossy Compression, Paper presentation, IPDPS '24, San Francisco, California, USA
  • [11/2023] Accelerating Collective Communications with Lossy Compression on GPU, Poster presentation, SC '23, Denver, Colorado, USA
  • [10/2023] PiP-MColl: Process-in-Process-based Multi-object MPI Collectives, Paper presentation, CLUSTER '23, Santa Fe, New Mexico, USA
  • [6/2023] Accelerating MPI Collectives with Process-in-Process-based Multi-object Techniques, Poster presentation, HPDC '23, Orlando, Florida, USA

Academic Services

  • Session Chair: CLUSTER ‘24
  • Reviewers & Subreviewers: IEEE’s Transactions on Computers, CLUSTER ‘23, IPDPS ‘23, IPDPS ‘24, CCGRID ‘24, HiPC ‘24
  • Student Volunteers: SC ‘21, SC ‘22

Personal Interests

  • Music: 🎷 Saxophone, Cucurbit flute (Hulusi), Bamboo flute (Dizi), Vertical bamboo flute (Xiao)
  • Sports: 🏓 Table tennis