Fanjiang Ye (叶繁江)

I am a second-year Ph.D. student working at Indiana University Bloomington, advised by Dr. Dingwen Tao and Dr. Fengguang Song. Currently I'm working closely with Dr. Yuke Wang. I graduated from the Department of Physics at University of Science and Technology of China (USTC).

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Research Interests

    My research interests mainly focus on efficient system on deep learning, especially like video generation and video understanding.

Publication

Overcoming Memory Constraints in Quantum Simulation with a High-Fidelity Compression Framework
Boyuan Zhang, Bo Fang, Fanjiang Ye, Yida Gu, Tallent Nathan, Guangming Tan, Dingwen Tao
ICS'25
[Paper]

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
PPoPP'25 Poster
[Paper]

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
SC'24
[Paper].

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]
[Code]

Education

Indiana University Bloomington
2023.08 - Present

Ph.D student in Computer Engineering
Advisor: Dr. Dingwen Tao and Dr. Fengguang Song.
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

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

Miscellaneous


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