| 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 | 776 | 2014 |
| 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 | 521 | 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 | 510 | 2015 |
| Structural minimax probability machine B Gu, X Sun, VS Sheng IEEE Transactions on Neural Networks and Learning Systems 28 (7), 1646-1656, 2016 | 375 | 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 | 254 | 2021 |
| Decoupled parallel backpropagation with convergence guarantee Z Huo, B Gu, H Huang International Conference on Machine Learning, 2098-2106, 2018 | 118 | 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 | 110 | 2021 |
| 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 | 95 | 2022 |
| 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 | 92 | 2020 |
| Training neural networks using features replay Z Huo, B Gu, H Huang Advances in Neural Information Processing Systems 31, 2018 | 91 | 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 | 86 | 2017 |
| 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 | 78 | 2014 |
| 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 | 73 | 2016 |
| Bi-Parameter Space Partition for Cost-Sensitive SVM. B Gu, VS Sheng, S Li IJCAI, 3532-3539, 2015 | 72 | 2015 |
| Faster on-device training using new federated momentum algorithm Z Huo, Q Yang, B Gu, LC Huang arXiv preprint arXiv:2002.02090, 2020 | 69 | 2020 |
| Messages are never propagated alone: Collaborative hypergraph neural network for time-series forecasting N Yin, L Shen, H Xiong, B Gu, C Chen, XS Hua, S Liu, X Luo IEEE Transactions on Pattern Analysis and Machine Intelligence 46 (4), 2333-2347, 2023 | 66 | 2023 |
| 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 | 66 | 2018 |
| 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 | 65 | 2013 |
| 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 | 62 | 2018 |
| Fast oscar and owl regression via safe screening rules R Bao, B Gu, H Huang International conference on machine learning, 653-663, 2020 | 61 | 2020 |
