Huo, Zhouyuan

23 publications

MLJ 2023 A New Large-Scale Learning Algorithm for Generalized Additive Models Bin Gu, Chenkang Zhang, Zhouyuan Huo, Heng Huang

NeurIPS 2023 Accelerated On-Device Forward Neural Network Training with Module-Wise Descending Asynchronism Xiaohan Zhao, Hualin Zhang, Zhouyuan Huo, Bin Gu

FnTML 2021 Advances and Open Problems in Federated Learning Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao

AAAI 2021 Large Batch Optimization for Deep Learning Using New Complete Layer-Wise Adaptive Rate Scaling Zhouyuan Huo, Bin Gu, Heng Huang

NeurIPS 2021 On Large-Cohort Training for Federated Learning Zachary Charles, Zachary Garrett, Zhouyuan Huo, Sergei Shmulyian, Virginia Smith

AAAI 2021 Step-Ahead Error Feedback for Distributed Training with Compressed Gradient An Xu, Zhouyuan Huo, Heng Huang

JMLR 2020 A Unified Q-Memorization Framework for Asynchronous Stochastic Optimization Bin Gu, Wenhan Xian, Zhouyuan Huo, Cheng Deng, Heng Huang

AAAI 2019 Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization Feihu Huang, Bin Gu, Zhouyuan Huo, Songcan Chen, Heng Huang

NeurIPS 2019 Ouroboros: On Accelerating Training of Transformer-Based Language Models Qian Yang, Zhouyuan Huo, Wenlin Wang, Lawrence Carin

AAAI 2019 Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy Bin Gu, Zhouyuan Huo, Heng Huang

CVPRW 2019 Visual-GPS: Ego-Downward and Ambient Video Based Person Location Association Liang Yang, Hao Jiang, Zhouyuan Huo, Jizhong Xiao

AAAI 2018 Accelerated Method for Stochastic Composition Optimization with Nonsmooth Regularization Zhouyuan Huo, Bin Gu, Ji Liu, Heng Huang

AISTATS 2018 Asynchronous Doubly Stochastic Group Regularized Learning Bin Gu, Zhouyuan Huo, Heng Huang

AAAI 2018 Asynchronous Doubly Stochastic Sparse Kernel Learning Bin Gu, Miao Xin, Zhouyuan Huo, Heng Huang

ICML 2018 Decoupled Parallel Backpropagation with Convergence Guarantee Zhouyuan Huo, Bin Gu, Yang, Heng Huang

ICML 2018 Faster Derivative-Free Stochastic Algorithm for Shared Memory Machines Bin Gu, Zhouyuan Huo, Cheng Deng, Heng Huang

AAAI 2018 Inexact Proximal Gradient Methods for Non-Convex and Non-Smooth Optimization Bin Gu, De Wang, Zhouyuan Huo, Heng Huang

NeurIPS 2018 Training Neural Networks Using Features Replay Zhouyuan Huo, Bin Gu, Heng Huang

AAAI 2017 Asynchronous Mini-Batch Gradient Descent with Variance Reduction for Non-Convex Optimization Zhouyuan Huo, Heng Huang

IJCAI 2017 Joint Capped Norms Minimization for Robust Matrix Recovery Feiping Nie, Zhouyuan Huo, Heng Huang

IJCAI 2017 Multi-Class Support Vector Machine via Maximizing Multi-Class Margins Jie Xu, Xianglong Liu, Zhouyuan Huo, Cheng Deng, Feiping Nie, Heng Huang

AAAI 2017 Video Recovery via Learning Variation and Consistency of Images Zhouyuan Huo, Shangqian Gao, Weidong Cai, Heng Huang

AAAI 2016 Optimal Discrete Matrix Completion Zhouyuan Huo, Ji Liu, Heng Huang