Robust low-rank tensor recovery with rectification and alignment X Zhang, D Wang, Z Zhou, Y Ma
IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (1), 238-255, 2019
184 2019 Top-k Feature Selection Framework Using Robust 0–1 Integer Programming X Zhang, M Fan, D Wang, P Zhou, D Tao
IEEE Transactions on Neural Networks and Learning Systems 32 (7), 3005-3019, 2020
131 2020 An explicit nonlinear mapping for manifold learning H Qiao, P Zhang, D Wang, B Zhang
IEEE transactions on cybernetics 43 (1), 51-63, 2012
105 2012 Online support vector machine based on convex hull vertices selection D Wang, H Qiao, B Zhang, M Wang
IEEE transactions on neural networks and learning systems 24 (4), 593-609, 2013
90 2013 Exemplar-based denoising: A unified low-rank recovery framework X Zhang, J Zheng, D Wang, L Zhao
IEEE Transactions on Circuits and Systems for Video Technology 30 (8), 2538-2549, 2019
48 2019 Simultaneous rectification and alignment via robust recovery of low-rank tensors X Zhang, D Wang, Z Zhou, Y Ma
Advances in Neural Information Processing Systems 26, 2013
39 2013 Distributed kernel ridge regression with communications SB Lin, D Wang, DX Zhou
Journal of Machine Learning Research 21 (93), 1-38, 2020
34 2020 Semi-supervised dictionary learning via structural sparse preserving D Wang, X Zhang, M Fan, X Ye
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
34 2016 An online core vector machine with adaptive MEB adjustment D Wang, B Zhang, P Zhang, H Qiao
Pattern Recognition 43 (10), 3468-3482, 2010
32 2010 Self-taught semisupervised dictionary learning with nonnegative constraint X Zhang, Q Liu, D Wang, L Zhao, N Gu, S Maybank
IEEE Transactions on Industrial Informatics 16 (1), 532-543, 2019
26 2019 Hybrid singular value thresholding for tensor completion X Zhang, Z Zhou, D Wang, Y Ma
Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014
26 2014 Top-k Supervise Feature Selection via ADMM for Integer Programming. M Fan, X Chang, X Zhang, Di Wang 0008, L Du
IJCAI, 1646-1653, 2017
23 2017 Hierarchical mixing linear support vector machines for nonlinear classification D Wang, X Zhang, M Fan, X Ye
Pattern Recognition 59, 255-267, 2016
23 2016 Random sketching for neural networks with ReLU D Wang, J Zeng, SB Lin
IEEE Transactions on Neural Networks and Learning Systems 32 (2), 748-762, 2020
21 2020 Structured Sparsity Optimization With Non-Convex Surrogates of -Norm: A Unified Algorithmic Framework X Zhang, J Zheng, D Wang, G Tang, Z Zhou, Z Lin
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (5), 6386-6402, 2022
18 2022 A kernel-based sparsity preserving method for semi-supervised classification N Gu, D Wang, M Fan, D Meng
Neurocomputing 139, 345-356, 2014
18 2014 Multi-view subspace clustering based on tensor schatten-p norm Y Liu, X Zhang, G Tang, D Wang
2019 IEEE international conference on big data (big data), 5048-5055, 2019
15 2019 Manifold based fisher method for semi-supervised feature selection S Lv, H Jiang, L Zhao, D Wang, M Fan
2013 10th International Conference on Fuzzy Systems and Knowledge Discovery …, 2013
14 2013 Convergence of decomposition methods for support vector machines Q Zhang, D Wang, Y Wang
Neurocomputing 317, 179-187, 2018
11 2018 Structure regularized self-paced learning for robust semi-supervised pattern classification N Gu, P Fan, M Fan, D Wang
Neural Computing and Applications 31, 6559-6574, 2019
4 2019