Fanjiang Ye

According to our database, Fanjiang Ye authored at least 5 papers between 2024 and 2025.

Collaborative distances:

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

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

CoRR, May, 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

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