Zhouyuan Huo
Zhouyuan Huo
Research Scientist, Google
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Advances and open problems in federated learning
P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ...
arXiv preprint arXiv:1912.04977, 2019
4852019
Asynchronous Mini-Batch Gradient Descent with Variance Reduction for Non-Convex Optimization
Z Huo, H Huang
AAAI, 2017
54*2017
Decoupled Parallel Backpropagation with Convergence Guarantee
Z Huo, B Gu, Q Yang, H Huang
International Conference on Machine Learning (ICML) 2018, 2018
332018
Training Neural Networks Using Features Replay
Z Huo, B Gu, H Huang
Advances in Neural Information Processing Systems 2018, 2018
312018
Robust and effective metric learning using capped trace norm: Metric learning via capped trace norm
Z Huo, F Nie, H Huang
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
292016
Faster derivative-free stochastic algorithm for shared memory machines
B Gu, Z Huo, C Deng, H Huang
International Conference on Machine Learning, 1812-1821, 2018
26*2018
Multi-Class Support Vector Machine via Maximizing Multi-Class Margins
J Xu, X Liu, Z Huo, C Deng, F Nie, H Huang
Proceedings of International Joint Conference on Artificial Intelligence, 2017
242017
Accelerated Method for Stochastic Composition Optimization with Nonsmooth Regularization
Z Huo, B Gu, H Huang
AAAI, 2017
232017
Asynchronous Doubly Stochastic Group Regularized Learning
B Gu, Z Huo, H Huang
International Conference on Artificial Intelligence and Statistics, 1791-1800, 2018
19*2018
An end-to-end generative architecture for paraphrase generation
Q Yang, D Shen, Y Cheng, W Wang, G Wang, L Carin
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
182019
Inexact Proximal Gradient Methods for Non-convex and Non-smooth Optimization
B Gu, Z Huo, H Huang
AAAI, 2016
182016
Asynchronous doubly stochastic sparse kernel learning
B Gu, M Xin, Z Huo, H Huang
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
172018
Joint Capped Norms Minimization for Robust Matrix Recovery
F Nie, Z Huo, H Huang
Proceedings of International Joint Conference on Artificial Intelligence, 2017
162017
Advances and open problems in federated learning. arXiv 2019
P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ...
arXiv preprint arXiv:1912.04977, 2019
122019
Faster on-device training using new federated momentum algorithm
Z Huo, Q Yang, B Gu, LC Huang
arXiv preprint arXiv:2002.02090, 2020
112020
Faster gradient-free proximal stochastic methods for nonconvex nonsmooth optimization
F Huang, B Gu, Z Huo, S Chen, H Huang
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1503-1510, 2019
112019
Asynchronous dual free stochastic dual coordinate ascent for distributed data mining
Z Huo, X Jiang, H Huang
2018 IEEE International Conference on Data Mining (ICDM), 167-176, 2018
9*2018
Advances and open problems in federated learning (2019)
P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ...
arXiv Preprint [cs. LG], 1912
91912
New multi-task learning model to predict alzheimer’s disease cognitive assessment
Z Huo, D Shen, H Huang
International Conference on Medical Image Computing and Computer-Assisted …, 2016
62016
Optimal discrete matrix completion
Z Huo, J Liu, H Huang
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
52016
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