Accelerating Communication in Deep Learning Recommendation Model Training with Dual-Level Adaptive Lossy Compression. - Hao Feng; Boyuan Zhang 002; Fanjiang Ye; Min Si; Ching-Hsiang Chu; Jiannan Tian; Chunxing Yin; Summer Deng; Yuchen Hao; Pavan Balaji; Tong Geng; Dingwen Tao (SC, 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)

Overcoming Memory Constraints in Quantum Circuit Simulation with a High-Fidelity Compression Framework. - Boyuan Zhang 002; Bo Fang 002; Fanjiang Ye; Yida Gu; Nathan R. Tallent; Guangming Tan; Dingwen Tao (CoRR, 2024)

High-performance Visual Semantics Compression for AI-Driven Science. - Boyuan Zhang 002; Luanzheng Guo; Jiannan Tian; Jinyang Liu 003; Daoce Wang; Fanjiang Ye; Chengming Zhang 006; Jan Strube 001; Nathan R. Tallent; Dingwen Tao (PPoPP, 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, 2025)