Fanjiang Ye|叶繁江

Ph.D. Student · Computer Science · Rice University

Portrait of Fanjiang Ye

I am a Ph.D. student in Computer Science at Rice University, advised by Dr. Yuke Wang. Before that, I got my M.S. degree in Computer Science at Indiana University Bloomington, advised by Dr. Dingwen Tao. I obtained my B.S. degree from the Department of Physics at University of Science and Technology of China (USTC).

Research Interests

Fanjiang's research interests lie in system-level optimization of ML and GPU-based distributed computing, with a focus on Generative AI, LLM/Diffusion Model serving, efficient LLM inference, and communication compression and overlapping. His long-term goal is to enable fast, scalable, and resource-aware AI systems.

Publications

  1. NeurIPS'25

    DUO: No Compromise to Accuracy Degradation

    Jinda Jia, Cong Xie, Fanjiang Ye, Hao Feng, Hanlin Lu, Daoce Wang, Haibin Lin, Zhi Zhang, Xin Liu

    [Paper]

  2. ICML'25 · Spotlight

    Model Steering: Learning with a Reference Model Improves Generalization Bounds and Scaling Laws

    Xiyuan Wei, Ming Lin, Fanjiang Ye, Fengguang Song, Liangliang Cao, My T. Thai, Tianbao Yang

    [Paper]

  3. ICS'25 · Best Paper Runner-up

    BMQSim: Overcoming Memory Constraints in Quantum Circuit Simulation with a High-Fidelity Compression Framework

    Boyuan Zhang, Bo Fang, Fanjiang Ye, Luanzheng Guo, Fengguang Song, Tallent Nathan, Dingwen Tao

    [Paper]

  4. PPoPP'25 · Poster

    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, Dingwen Tao

    [Paper]

  5. SC'24

    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]

Show 6 more preprints Show less
  1. Preprint

    SUPERGEN: An Efficient Ultra-high-resolution Video Generation System with Sketching and Tiling

    Fanjiang Ye, Zepeng Zhao, Yi Mu, Jucheng Shen, Renjie Li, Kaijian Wang, Desen Sun, Saurabh Agarwal, Myungjin Lee, Triston Cao, Aditya Akella, Arvind Krishnamurthy, T. S. Eugene Ng, Zhengzhong Tu, Yuke Wang

    [Preprint]

  2. Preprint

    TIDE: Text-Informed Dynamic Extrapolation with Step-Aware Temperature Control for Diffusion Transformers

    Yihua Liu, Fanjiang Ye, Bowen Lin, Rongyu Fang, Chengming Zhang

    [Preprint]

  3. Preprint

    Teach to Fish, Not to Feed: Internalizing Retrieval for External Memory in Large Language Models

    Xinheng Ding, Tianyi Zhang, Hao Li, Fanjiang Ye, Wenya Xie, Qingquan Song, Yuke Wang, Zirui Liu

  4. Preprint

    SDiT: Semantic Region-Adaptive for Diffusion Transformers

    Bowen Lin, Fanjiang Ye, Yihua Liu, Zhenghui Guo, Boyuan Zhang, Weijian Zheng, Yufan Xu, Tiancheng Xing, Yuke Wang, Chengming Zhang

    [Preprint]

  5. Preprint

    An Efficient and Adaptive Watermark Detection System with Tile-based Error Correction

    Xinrui Zhong, Xinze Feng, Jingwei Zuo, Fanjiang Ye, Yi Mu, Junfeng Guo, Heng Huang, Myungjin Lee, Yuke Wang

    [Preprint]

  6. Preprint

    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]

Education

  1. 2025.08 – Present

    Rice University

    Ph.D. in Computer Science

    Advisor: Dr. Yuke Wang

  2. 2023.08 – 2025.05

    Indiana University Bloomington

    M.S. in Computer Science

    Advisor: Dr. Dingwen Tao

  3. 2019.08 – 2023.07

    University of Science and Technology of China

    B.S. in Physics

    Advisor: Dr. Changling Zou

Experience

  1. 2026.05 – 2026.08

    Amazon Web Services

    Applied Scientist Intern, Annapurna Lab

    Advisor: Dr. Zhuang Wang

Professional Services

Artifact Evaluation Committee

Reviewer

Teaching

Miscellaneous

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