NetFC: Enabling Accurate Floating-point Arithmetic on Programmable Switches. - Penglai Cui; Heng Pan; Zhenyu Li 001; Jiaoren Wu; Shengzhuo Zhang; Xingwu Yang; Hongtao Guan; Gaogang Xie (ICNP, 2021)

BAGUA: Scaling up Distributed Learning with System Relaxations. - Shaoduo Gan; Xiangru Lian; Rui Wang; Jianbin Chang; Chengjun Liu; Hongmei Shi; Shengzhuo Zhang; Xianghong Li; Tengxu Sun; Jiawei Jiang 001; Binhang Yuan; Sen Yang 004; et al. (Proc. VLDB Endow., 2021)

Modeling and Optimizing the Scaling Performance in Distributed Deep Learning Training. - Ting Liu; Tianhao Miao; Qinghua Wu 004; Zhenyu Li 001; Guangxin He; Jiaoren Wu; Shengzhuo Zhang; Xingwu Yang; Gareth Tyson; Gaogang Xie (WWW, 2022)

Test-Time Scaling with Reflective Generative Model. - Zixiao Wang; Yuxin Wang; Xiaorui Wang; Mengting Xing; Jie Gao; Jianjun Xu; Guangcan Liu; Chenhui Jin; Zhuo Wang; Shengzhuo Zhang; Hongtao Xie (CoRR, 2025)