| Tensor canonical correlation analysis for multi-view dimension reduction Y Luo, D Tao, K Ramamohanarao, C Xu, Y Wen IEEE Transactions on Knowledge and Data Engineering 27 (11), 3111-3124, 2015 | 274 | 2015 |
| Manifold regularized multitask learning for semi-supervised multilabel image classification Y Luo, D Tao, B Geng, C Xu, S Maybank IEEE Transactions on Image Processing 22 (2), 523-536, 2013 | 201 | 2013 |
| Multiview matrix completion for multilabel image classification Y Luo, T Liu, D Tao, C Xu IEEE Transactions on Image Processing 24 (8), 2355-2368, 2015 | 159 | 2015 |
| Multiview vector-valued manifold regularization for multilabel image classification Y Luo, D Tao, C Xu, C Xu, H Liu, Y Wen IEEE Transactions on Neural Networks and Learning Systems 24 (5), 709-722, 2013 | 157 | 2013 |
| Low-rank multiview learning in matrix completion for multilabel image classification M Liu, Y Luo, D Tao, C Xu, Y Wen AAAI Conference on Artificial Intelligence, 2778-2784, 2015 | 137 | 2015 |
| Decomposition-based transfer distance metric learning for image classification Y Luo, T Liu, D Tao, C Xu IEEE Transactions on Image Processing 23 (9), 3789-3801, 2014 | 128 | 2014 |
| Cost-sensitive feature selection by optimizing F-measures M Liu, C Xu, Y Luo, C Xu, Y Wen, D Tao IEEE Transactions on Image Processing 27 (3), 1323-1335, 2018 | 109 | 2018 |
| Large margin multi-modal multi-task feature extraction for image classification Y Luo, Y Wen, D Tao, J Gui, C Xu IEEE Transactions on Image Processing 25 (1), 414-427, 2016 | 103 | 2016 |
| Group sparse multiview patch alignment framework with view consistency for image classification J Gui, D Tao, Z Sun, Y Luo, X You, Y Tang IEEE Transactions on Image Processing 23 (7), 3126-3137, 2014 | 96 | 2014 |
| Transferring knowledge fragments for learning distance metric from a heterogeneous domain Y Luo, Y Wen, T Liu, D Tao IEEE Transactions on Pattern Analysis and Machine Intelligence 41 (4), 1013-1026, 2019 | 87 | 2019 |
| Federated learning for non-IID data via unified feature learning and optimization objective alignment L Zhang, Y Luo, Y Bai, B Du, LY Duan International Conference on Computer Vision, 4420-4428, 2021 | 76 | 2021 |
| Vector-valued multiview semi-supervised learning for multilabel image classification Y Luo, D Tao, C Xu, D Li, C Xu AAAI Conference on Artificial Intelligence, 647-653, 2013 | 65 | 2013 |
| Towards understanding the power of quantum kernels in the NISQ era X Wang, Y Du, Y Luo, D Tao Quantum 5, 531, 2021 | 64 | 2021 |
| Pitch-density-based features and an SVM binary tree approach for multi-class audio classification in broadcast news L Xie, Z Fu, W Feng, Y Luo Multimedia Systems 17 (2), 101-112, 2011 | 54 | 2011 |
| Manifold regularized multiview feature selection for web image annotation Y Li, X Shi, L Tong, Y Luo, J Tu, X Zhu Pacific-Rim Conference on Multimedia, 103-112, 2014 | 50* | 2014 |
| Pre-trained multiview word embedding using two-side neural network Y Luo, J Tang, J Yan, C Xu, Z Chen AAAI Conference on Artificial Intelligence, 1982-1988, 2014 | 46 | 2014 |
| Resistance training using prior bias: toward unbiased scene graph generation C Chen, Y Zhan, B Yu, L Liu, Y Luo, B Du AAAI Conference on Artificial Intelligence, 212-220, 2022 | 44 | 2022 |
| Heterogeneous multitask metric learning across multiple domains Y Luo, Y Wen, D Tao IEEE Transactions on Neural Networks and Learning Systems 29 (9), 4051-4064, 2018 | 44 | 2018 |
| ResumeGAN: An optimized deep representation learning framework for talent-job fit via adversarial learning Y Luo, H Zhang, Y Wen, X Zhang ACM International Conference on Information and Knowledge Management, 1101-1110, 2019 | 40 | 2019 |
| When wireless video streaming meets AI: A deep learning approach L Liu, H Hu, Y Luo, Y Wen IEEE Wireless Communications 27 (2), 127-133, 2020 | 35 | 2020 |
Dacheng TaoNanyang Technological UniversityVerified email at ntu.edu.sg
