Research Interests
- System acceleration for quantum simulation
- System optimization for LLM
- Data Compression
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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.
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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]
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Overcoming Memory Constraints in Quantum Simulation with a High-Fidelity Compression Framework
Boyuan Zhang,
Bo Fang,
Fanjiang Ye,
Meng Wang,
Tallent Nathan,
Guangming Tan,
Dingwen Tao
[Preprint].
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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].
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![](images/Indiana University2.jpg) |
Indiana University Bloomington
2023.08 - Present
Ph.D student in Computer Engineering
Advisor: Dr. Dingwen Tao
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University of Science and Technology of China
2019.08 - 2023.07
B.S. in Physics
Advisor: Dr. Changling Zou
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Hong Kong University of Science and Technology
2022.06 - 2022.10
Visiting Research Student
Advisor: Dr. Berthold Jaeck
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Awards
- Outstanding Student Scholarship of USTC (Top 25%), 2020-2022
- Scholarship of Freshman (Top 20%), 2019
- USTC Fellowship, 2022
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Template adapted from Jon Barron. Last Modified: 2024-11-20
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