HeterPS: Distributed Deep Learning With Reinforcement Learning Based Scheduling in Heterogeneous Environments. - Ji Liu 003; Zhihua Wu; Dianhai Yu; Yanjun Ma; Danlei Feng; Minxu Zhang; Xinxuan Wu; Xuefeng Yao; Dejing Dou (CoRR, 2021)

SE-MoE: A Scalable and Efficient Mixture-of-Experts Distributed Training and Inference System. - Liang Shen; Zhihua Wu; Weibao Gong; Hongxiang Hao; Yangfan Bai; HuaChao Wu; Xinxuan Wu; Haoyi Xiong; Dianhai Yu; Yanjun Ma (CoRR, 2022)

PGLBox: Multi-GPU Graph Learning Framework for Web-Scale Recommendation. - Xuewu Jiao; Weibin Li; Xinxuan Wu; Wei Hu; Miao Li; Jiang Bian 003; Siming Dai; Xinsheng Luo; Mingqing Hu; Zhengjie Huang; Danlei Feng; Junchao Yang; et al. (KDD, 2023)

HeterPS: Distributed deep learning with reinforcement learning based scheduling in heterogeneous environments. - Ji Liu 003; Zhihua Wu; Danlei Feng; Minxu Zhang; Xinxuan Wu; Xuefeng Yao; Dianhai Yu; Yanjun Ma; Feng Zhao; Dejing Dou (Future Gener. Comput. Syst., 2023)