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Bin Gu
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Year
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
7222014
A Robust Regularization Path Algorithm for -Support Vector Classification
B Gu, VS Sheng
IEEE Transactions on neural networks and learning systems 28 (5), 1241-1248, 2016
5052016
Incremental learning for í-support vector regression
B Gu, VS Sheng, Z Wang, D Ho, S Osman, S Li
Neural networks 67, 140-150, 2015
4582015
Structural minimax probability machine
B Gu, X Sun, VS Sheng
IEEE Transactions on Neural Networks and Learning Systems 28 (7), 1646-1656, 2016
3522016
Bi-parameter space partition for cost-sensitive SVM
B Gu, VS Sheng, S Li
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
682015
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
682014
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
562016
Decoupled parallel backpropagation with convergence guarantee
Z Huo, B Gu, H Huang
International Conference on Machine Learning, 2098-2106, 2018
552018
Feasibility and Finite Convergence Analysis for Accurate On-Line -Support Vector Machine
B Gu, VS Sheng
IEEE Transactions on Neural Networks and Learning Systems 24 (8), 1304-1315, 2013
542013
Training neural networks using features replay
Z Huo, B Gu, H Huang
Advances in Neural Information Processing Systems 31, 2018
522018
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
452018
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, 2021
43*2021
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
372017
Accelerated method for stochastic composition optimization with nonsmooth regularization
Z Huo, B Gu, J Liu, H Huang
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
362018
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
342018
Faster Derivative-Free Stochastic Algorithm for Shared Memory Machines
B Gu, Z Huo, C Deng, H Huang
International Conference on Machine Learning, 2018
33*2018
Cost-sensitive learning for defect escalation
VS Sheng, B Gu, W Fang, J Wu
Knowledge-Based Systems 66, 146-155, 2014
332014
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
292020
Faster on-device training using new federated momentum algorithm
Z Huo, Q Yang, B Gu, LC Huang
arXiv preprint arXiv:2002.02090, 2020
292020
Accurate on-line í-support vector learning
B Gu, JD Wang, YC Yu, GS Zheng, YF Huang, T Xu
Neural Networks 27, 51-59, 2012
262012
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