About Me
I am currently a master student at the School of Software & Microelectronics, Peking University, under the supervision of Prof. Bin Cui. I received my bachelor’s degree from the School of Software, Beihang University in 2023. After graduation, I will join the Xiaomi MiMo Core team, working on RL Infrastructure.
My research interests include Reinforcement Learning Infrastructure, LLM Inference Systems, and Efficient Sparse Attention.
Publications
Haoyang Li, Sheng Lin, Fangcheng Fu, Yuming Zhou, Xiaodong Ji, Yanfeng Zhao, Lefeng Wang, Jie Jiang, Bin Cui. Unleashing Efficient Asynchronous RL Post-Training via Staleness-Constrained Rollout Coordination. arXiv preprint, 2026.
Xiaodong Ji, Hailin Zhang, Fangcheng Fu, Bin Cui. SALE: Low-bit Estimation for Efficient Sparse Attention in Long-context LLM Prefilling. arXiv preprint, 2025.
Hailin Zhang, Xiaodong Ji, Yilin Chen, Fangcheng Fu, Xupeng Miao, Xiaonan Nie, Weipeng Chen, Bin Cui. PQCache: Product Quantization-based KVCache for Long Context LLM Inference. SIGMOD, 2025.