Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four Minutes. - Xianyan Jia; Shutao Song; Wei He; Yangzihao Wang; Haidong Rong; Feihu Zhou; Liqiang Xie; Zhenyu Guo; Yuanzhou Yang; Liwei Yu; Tiegang Chen; Guangxiao Hu; et al. (CoRR, 2018)

Distributed Equivalent Substitution Training for Large-Scale Recommender Systems. - Haidong Rong; Yangzihao Wang; Feihu Zhou; Junjie Zhai; Haiyang Wu; Rui Lan; Fan Li; Han Zhang; Yuekui Yang; Zhenyu Guo; Di Wang (SIGIR, 2020)

Interpretable Machine Learning Model for Early Prediction of Mortality in Elderly Patients with Multiple Organ Dysfunction Syndrome (MODS): a Multicenter Retrospective Study and Cross Validation. - Xiaoli Liu 003; Pan Hu; Zhi Mao; Po-Chih Kuo; Peiyao Li; Chao Liu; Jie Hu; Deyu Li; Desen Cao; Roger G. Mark; Leo Anthony Celi; Zhengbo Zhang; et al. (CoRR, 2020)

Towards Scalable Distributed Training of Deep Learning on Public Cloud Clusters. - Shaohuai Shi; Xianhao Zhou; Shutao Song; Xingyao Wang 002; Zilin Zhu; Xue Huang; Xinan Jiang; Feihu Zhou; Zhenyu Guo; Liqiang Xie; Rui Lan; Xianbin Ouyang; et al. (MLSys, 2021)

Joint Image Super-Resolution and Low-Light Enhancement in the Dark. - Feihu Zhou; Kan Chang; Mingyang Ling; Hengxin Li; Shucheng Xia (ACCV (4), 2022)

Coarse-to-Fine Recurrently Aligned Transformer with Balance Tokens for Video Moment Retrieval and Highlight Detection. - Yi Pan; Yujia Zhang 001; Hui Chang; Shiying Sun; Feihu Zhou; Xiaoguang Zhao (IJCNN, 2024)

3-D Structurally Constrained Inversion of the Controlled-Source Electromagnetic Data Using Octree Meshes. - Jiren Liu; Xiao Xiao; Jingtian Tang; Cong Zhou; Yinhang Li; Feihu Zhou; Cheng Pang; Shuguang Zhou; Hong Wang (IEEE Trans. Geosci. Remote. Sens., 2024)