Incremental support vector learning for ordinal regression B Gu, VS Sheng, KY Tay, W Romano, S Li
IEEE Transactions on Neural networks and learning systems 26 (7), 1403-1416, 2014
769 2014 A Robust Regularization Path Algorithm for B Gu, VS Sheng
IEEE Transactions on neural networks and learning systems 28 (5), 1241-1248, 2016
517 2016 Incremental learning for ν-support vector regression B Gu, VS Sheng, Z Wang, D Ho, S Osman, S Li
Neural networks 67, 140-150, 2015
501 2015 Structural minimax probability machine B Gu, X Sun, VS Sheng
IEEE Transactions on Neural Networks and Learning Systems 28 (7), 1646-1656, 2016
372 2016 Privacy-preserving asynchronous vertical federated learning algorithms for multiparty collaborative learning B Gu, A Xu, Z Huo, C Deng, H Huang
IEEE transactions on neural networks and learning systems 33 (11), 6103-6115, 2021
194 2021 Decoupled parallel backpropagation with convergence guarantee Z Huo, B Gu, H Huang
International Conference on Machine Learning, 2098-2106, 2018
104 2018 Secure bilevel asynchronous vertical federated learning with backward updating Q Zhang, B Gu, C Deng, H Huang
Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10896 …, 2021
83 2021 Training neural networks using features replay Z Huo, B Gu, H Huang
Advances in Neural Information Processing Systems 31, 2018
82 2018 Majority voting and pairing with multiple noisy labeling VS Sheng, J Zhang, B Gu, X Wu
IEEE Transactions on Knowledge and Data Engineering 31 (7), 1355-1368, 2017
79 2017 Federated doubly stochastic kernel learning for vertically partitioned data B Gu, Z Dang, X Li, H Huang
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
77 2020 Direct estimation of cardiac biventricular volumes with an adapted bayesian formulation Z Wang, MB Salah, B Gu, A Islam, A Goela, S Li
IEEE Transactions on Biomedical Engineering 61 (4), 1251-1260, 2014
77 2014 A fully single loop algorithm for bilevel optimization without hessian inverse J Li, B Gu, H Huang
Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7426-7434, 2022
73 2022 Bi-parameter space partition for cost-sensitive SVM B Gu, VS Sheng, S Li
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
72 2015 Cross validation through two-dimensional solution surface for cost-sensitive SVM B Gu, VS Sheng, KY Tay, W Romano, S Li
IEEE transactions on pattern analysis and machine intelligence 39 (6), 1103-1121, 2016
69 2016 Feasibility and Finite Convergence Analysis for Accurate On-Line B Gu, VS Sheng
IEEE Transactions on Neural Networks and Learning Systems 24 (8), 1304-1315, 2013
64 2013 Chunk incremental learning for cost-sensitive hinge loss support vector machine B Gu, X Quan, Y Gu, VS Sheng, G Zheng
Pattern Recognition 83, 196-208, 2018
63 2018 Fast oscar and owl regression via safe screening rules R Bao, B Gu, H Huang
International conference on machine learning, 653-663, 2020
58 2020 Faster on-device training using new federated momentum algorithm Z Huo, Q Yang, B Gu, LC Huang
arXiv preprint arXiv:2002.02090, 2020
58 2020 Inexact Proximal Gradient Methods for Non-Convex and Non-Smooth Optimization B Gu, D Wang, Z Huo, H Huang
The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), 3093 …, 2018
54 2018 Accelerated method for stochastic composition optimization with nonsmooth regularization Z Huo, B Gu, J Liu, H Huang
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
51 2018