Fanjiang Ye

According to our database, Fanjiang Ye authored at least 13 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

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

CoRR, April, 2026

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

CoRR, April, 2026

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

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

CoRR, March, 2026

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

CoRR, January, 2026

2025

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

CoRR, September, 2025

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

CoRR, August, 2025

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

Proceedings of the 30th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2025

DUO: No Compromise to Accuracy Degradation.

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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

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

Proceedings of the 39th ACM International Conference on Supercomputing, 2025

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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

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

Boyuan Zhang, Bo Fang, Fanjiang Ye, Yida Gu, Nathan R. Tallent, Guangming Tan, Dingwen Tao

CoRR, 2024

FastCLIP: A Suite of Optimization Techniques to Accelerate CLIP Training with Limited Resources.

Xiyuan Wei, Fanjiang Ye, Ori Yonay, Xingyu Chen, Baixi Sun, Dingwen Tao, Tianbao Yang

CoRR, 2024

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, Summer Deng, Yuchen Hao, Pavan Balaji, Tong Geng, Dingwen Tao

Proceedings of the International Conference for High Performance Computing, 2024