Fanjiang Ye (叶繁江)

I am a first-year Ph.D. student working at School of Infomatics, Computing, and Engineering at Indiana University Bloomington, advised by Dr. Dingwen Tao. I graduated from the Department of Physics at University of Science and Technology of China (USTC) .

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Research Interests

  • System acceleration for quantum simulation
  • Large-scale machine learning
  • Compression

Publication

Accelerating Communication in Deep Learning Recommendation Model Training with Dual-Level Adaptive Lossy Compression
Hao Feng, Boyuan Zhang, Fanjiang Ye, Min Si, Ching-Hsiang Chu, Jiannan Tian, Chunxing Yin, Zhaoxia (Summer) Deng, Yuchen Hao, Pavan Balaji, Tong Geng, Dingwen Tao
[Paper]. Accepted by SuperComputing'2024.

FastCLIP: A Suite of Optimization Techniques to Accelerate CLIP Training with Limited Resources
Xiyuan Wei, Fanjiang Ye, Ori Yonay, Xingyu Chen, Dingwen Tao, Tianbao Yang
[Preprint]. Under Review.
[Code]

Break Memory Limits in Quantum Circuit Simulation with High-fidelity Compression System
Boyuan Zhang, Bo Fang, Fanjiang Ye, Meng Wang, Tallent Nathan, Guangming Tan, Dingwen Tao
[Preprint]. Under Review.

ViSemZ: High-performance Visual Semantics Compression for AI-Driven Science
Boyuan Zhang, Luanzheng Guo, Jiannan Tian, Jinyang Liu, Daoce Wang, Fanjiang Ye, Chengming Zhang, Jan Strube, Nathan R. Tallent, Guangming Tan, Dingwen Tao
[Preprint]. Under Review.

Education

Indiana University Bloomington
2023.08 - Present

Ph.D student in Computer Engineering
Advisor: Dr. Dingwen Tao
University of Science and Technology of China
2019.08 - 2023.07

B.S. in Physics
Advisor: Dr. Changling Zou
Hong Kong University of Science and Technology
2022.06 - 2022.10

Visiting Research Student
Advisor: Dr. Berthold Jaeck

Awards

  • Outstanding Student Scholarship of USTC (Top 25%), 2020-2022
  • Scholarship of Freshman (Top 20%), 2019
  • USTC Fellowship, 2022

Services

Miscellaneous


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