Fanjiang Ye | 叶繁江

I am a Ph.D. student major in Computer Science at Rice University advised by Dr. Yuke Wang. Before that, I spent two years as a Ph.D. student working at Indiana University, 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).

I am always open to research collaboration & internship opportunities. Please feel free to drop me an email if you are interested in working together.

Email / CV / Google Scholar / LinkedIn

Research Interests

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

Publication

DUO: No Compromise to Accuracy Degradation
Jinda Jia, Cong Xie, Hanlin Lu, Fanjiang Ye, Hao Feng, Daoce Wang, Haibin Lin, Zhi Zhang, Xin Liu
NeurIPS'25
[To appear]

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
ICML'25 Spotlight
[Paper]

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
ICS'25 Best Paper Runner-up
[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, 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]

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
arXiv
[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
arXiv
[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
arXiv
[Preprint]

Education

	Rice University 2025.08 - Present Ph.D student in Computer Science Advisor: Dr. Yuke Wang
	Indiana University Bloomington 2023.08 - 2025.05 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, 2020-2022
Scholarship of Freshman, 2019

Professional Services

ASPLOS'26 Artifact Evaluation Committee
SOSP'25 Artifact Evaluation Committee
QCE'24 Sub-Reviewer

Teaching

ENGR-E 516: Cloud Computing, Spring 2025

Miscellaneous

I love to play basketball and led the department basketball team in varsity games.
Photograph is also my favourite.
Sometimes I really enjoy going skiing.

Template adapted from Jon Barron. Last Modified: 2025-09-19