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

Selected Publications

  1. Preprint

    GENSERVE: Efficient Co-Serving of Heterogeneous Diffusion Model Workloads

    Fanjiang Ye, Zhangke Li, Xinrui Zhong, Ethan Ma, Russell Chen, Kaijian Wang, Jingwei Zuo, Desen Sun, Ye Cao, Triston Cao, Myungjin Lee, Arvind Krishnamurthy, Yuke Wang

    [Preprint]

  2. 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]

More 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 12 more papers Show less

† project lead

  1. NeurIPS'26 Workshop

    Exploiting Per-Sequence Token Sparsity in Batched Block-Diffusion LLM Inference

    Eddie Sun, Mike Mao, Xinze Feng†, Fanjiang Ye†, Yuke Wang

  2. NeurIPS'26 Workshop

    RefinementGuard: Counterexample-Directed Semantic Qualification for Hidden Agent-Tool Execution

    Adhyayan Veer Singh, Fanjiang Ye†, Yuke Wang

  3. Preprint

    When to Synchronize, How Much to Repair: Cache Control for Autoregressive Video Diffusion

    Kairong Xu, Param Misra, Zachary Stenglein, Athri Karunamurthy, Fanjiang Ye†, Yuke Wang

  4. Preprint

    RISA: Recoverable Sparse Attention for Block-Diffusion Language Models

    Xinrui Zhong, Fanjiang Ye, Yuke Wang

  5. Preprint

    SuBitKV: Sub-Bit KV Cache Compression for Autoregressive Video Generation

    Bowen Lin, Zhenghui Guo, Fanjiang Ye, Boyuan Zhang, Sheng Di, Chengming Zhang

  6. Preprint

    AoiZora: Topology-Aware Auto-Parallel Optimization for Inference of Diffusion Transformers

    Kaijian Wang, Yuanyuan Xu, Fanjiang Ye, Ye Cao, Jingwei Zuo, T. S. Eugene Ng, Yarong Mu, Yuke Wang

    [Preprint]

  7. Preprint

    ALTO: Adaptive LoRA Tuning and Orchestration for Heterogeneous LoRA Training Workloads

    Jingwei Zuo, Xinze Feng, Zien Liu, Kaijian Wang, Fanjiang Ye, Ye Cao, Zhuang Wang, Yuke Wang

    [Preprint]

  8. 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]

  9. 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

  10. 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]

  11. 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]

  12. 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. 2026.08 – 2026.12

    Amazon Web Services

    Applied Scientist Intern (Part-time), Annapurna Lab

    Advisor: Dr. Zhen Jia

  2. 2026.05 – 2026.08

    Amazon Web Services

    Applied Scientist Intern, Annapurna Lab

    Advisor: Dr. Zhuang Wang

Professional Services

Artifact Evaluation Committee

Show 7 more Show less
  • CAIS'26 Artifact Evaluation Committee
  • MLSys'26 Artifact Evaluation Committee
  • EuroSys'26 Fall Artifact Evaluation Committee
  • ASPLOS'26 Summer Artifact Evaluation Committee
  • PPoPP'26 Artifact Evaluation Committee
  • ASPLOS'26 Spring Artifact Evaluation Committee
  • SOSP'25 Artifact Evaluation Committee

Reviewer

Show 2 more Show less
  • CVPR'26 Program Committee Reviewer
  • QCE'24 Sub-Reviewer

Teaching

Miscellaneous

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