| Semi-supervised multi-label learning from crowds via deep sequential generative model W Shi, VS Sheng, X Li, B Gu Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 16 | 2020 |
| Quadruply stochastic gradient method for large scale nonlinear semi-supervised ordinal regression AUC optimization W Shi, B Gu, X Li, H Huang Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5734-5741, 2020 | 14 | 2020 |
| Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization W Shi, B Gu, X Li, X Geng, H Huang Proceedings of the Twenty-Eighth International Joint Conference on …, 2019 | 13 | 2019 |
| Solving large-scale support vector ordinal regression with asynchronous parallel coordinate descent algorithms B Gu, X Geng, W Shi, Y Shan, Y Huang, Z Wang, G Zheng Pattern Recognition 109, 107592, 2021 | 12 | 2021 |
| Scalable semi-supervised svm via triply stochastic gradients X Geng, B Gu, X Li, W Shi, G Zheng, H Huang arXiv preprint arXiv:1907.11584, 2019 | 12 | 2019 |
| Scalable kernel ordinal regression via doubly stochastic gradients B Gu, X Geng, X Li, W Shi, G Zheng, C Deng, H Huang IEEE Transactions on Neural Networks and Learning Systems 32 (8), 3677-3689, 2020 | 7 | 2020 |
| Triply stochastic gradient method for large-scale nonlinear similar unlabeled classification W Shi, B Gu, X Li, C Deng, H Huang Machine Learning 110 (8), 2005-2033, 2021 | 5 | 2021 |
| Improved Penalty Method via Doubly Stochastic Gradients for Bilevel Hyperparameter Optimization. W Shi, G Bin AAAI, 9621-9629, 2021 | 5 | 2021 |
| Gradient-free method for heavily constrained nonconvex optimization W Shi, H Gao, B Gu International Conference on Machine Learning, 19935-19955, 2022 | 4 | 2022 |
| Doubly robust AUC optimization against noisy and adversarial samples C Zhang, W Shi, L Luo, B Gu Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 1 | 2023 |
| End-to-End Semi-Supervised Ordinal Regression AUC Maximization with Convolutional Kernel Networks Z Xiong, W Shi, B Gu Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 1 | 2022 |
| Double Momentum Method for Lower-Level Constrained Bilevel Optimization W Shi, Y Chang, B Gu arXiv preprint arXiv:2406.17386, 2024 | | 2024 |
| Fast and Adversarial Robust Kernelized SDU Learning Y Fan, Y Chang, B Gu International Conference on Artificial Intelligence and Statistics, 1153-1161, 2024 | | 2024 |
| Learning Sampling Policy to Achieve Fewer Queries for Zeroth-Order Optimization Z Zhai, W Shi, H Huang, Y Chang, B Gu International Conference on Artificial Intelligence and Statistics, 1162-1170, 2024 | | 2024 |
| Self-Adaptive Perturbation Radii for Adversarial Training H Wu, W Shi, C Zhang, B Gu Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | | 2023 |
| Query Efficient Black-Box Adversarial Attack with Automatic Region Selection Y YAO, W Shi, Z Wu, H Zhang, W de Vazelhes, Y Fan, H Xiong, Y Chang, ... | | |
| Efficient Method for Bi-level Optimization with Non-smooth Lower-Level Problem W Shi, B Gu | | |
| Accelerated Gradient-Free Method for Heavily Constrained Nonconvex Optimization W Shi, H Gao, B Gu | | |
Bin GuJilin University; MBZUAI在 mbzuai.ac.ae 的电子邮件经过验证
