Author

Zheng-Ping Qian

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Book Open access Sep 2026

A Few GPUs, A Whole Lotta Scale: Faithful LLM Training Emulation with CrystalLLM

CrystalLLM is presented to decouple large-scale execution from the need to access large clusters, enabling engineers to run and observe ranks of interest under faithful large-scale behavior using only a few GPUs.

Shao-Ke Xi, ChonLam Lao, Bo-Yi Jia et al. · Proceedings of the ACM SIGOP... · 0 citations

#machine learning Preprint Oct 2026

ReFlow: Replay-Driven Decoupling for Efficient RL Post-Training

Reinforcement learning (RL) has been a critical paradigm for improving large language model (LLM) reasoning and agentic capabilities, but its efficiency remains a major bottleneck. Existing RL systems commonly rely on asynchronous execution to overlap rollout generation with policy optimization for enhanced efficiency....

Yu Tian, Junwei Su, Hao Xu et al. · 0 citations