| When Gaussian process meets big data: A review of scalable GPs H Liu, YS Ong, X Shen, J Cai IEEE transactions on neural networks and learning systems 31 (11), 4405-4423, 2020 | 562 | 2020 |
| Survey on multi-output learning D Xu, Y Shi, IW Tsang, YS Ong, C Gong, X Shen IEEE transactions on neural networks and learning systems 31 (7), 2409-2429, 2019 | 180 | 2019 |
| The emerging trends of multi-label learning W Liu, H Wang, X Shen, IW Tsang IEEE transactions on pattern analysis and machine intelligence 44 (11), 7955 …, 2021 | 113 | 2021 |
| Reversible natural language watermarking using synonym substitution and arithmetic coding. L Xiang, Y Li, W Hao, P Yang, X Shen Computers, Materials & Continua 55 (3), 2018 | 112 | 2018 |
| Semi-paired discrete hashing: Learning latent hash codes for semi-paired cross-view retrieval X Shen, F Shen, QS Sun, Y Yang, YH Yuan, HT Shen IEEE Transactions on Cybernetics 47 (12), 4275-4288, 2017 | 107 | 2017 |
| Discrete multi-graph hashing for large-scale visual search L Xiang, X Shen, J Qin, W Hao Neural Processing Letters 49, 1055-1069, 2019 | 78 | 2019 |
| Multilabel prediction via cross-view search X Shen, W Liu, IW Tsang, QS Sun, YS Ong IEEE transactions on neural networks and learning systems 29 (9), 4324-4338, 2017 | 74 | 2017 |
| Multiview discrete hashing for scalable multimedia search X Shen, F Shen, L Liu, YH Yuan, W Liu, QS Sun ACM Transactions on Intelligent Systems and Technology (TIST) 9 (5), 1-21, 2018 | 71 | 2018 |
| Compressed K-Means for Large-Scale Clustering XB Shen, W Liu, IW Tsang, F Shen, QS Sun Proceedings of the AAAI Conference on Artificial Intelligence, 2527-2533, 2017 | 69 | 2017 |
| Multi-view latent hashing for efficient multimedia search X Shen, F Shen, QS Sun, YH Yuan Proceedings of the 23rd ACM international conference on Multimedia, 831-834, 2015 | 67 | 2015 |
| Discrete Network Embedding X Shen, S Pan, W Liu, YS Ong, QS Sun IJCAI, 3549-3555, 2018 | 64 | 2018 |
| A unified multiset canonical correlation analysis framework based on graph embedding for multiple feature extraction XB Shen, QS Sun, YH Yuan Neurocomputing 148, 397-408, 2015 | 47 | 2015 |
| A novel semi-supervised canonical correlation analysis and extensions for multi-view dimensionality reduction XB Shen, QS Sun Journal of Visual Communication and Image Representation 25 (8), 1894-1904, 2014 | 42 | 2014 |
| Double constrained NMF for partial multi-view clustering B Qian, X Shen, Y Gu, Z Tang, Y Ding 2016 International Conference on Digital Image Computing: Techniques and …, 2016 | 39 | 2016 |
| Sparse Embedded -Means Clustering W Liu, X Shen, I Tsang Advances in neural information processing systems 30, 2017 | 37 | 2017 |
| Laplacian multiset canonical correlations for multiview feature extraction and image recognition YH Yuan, Y Li, XB Shen, QS Sun, JL Yang Multimedia Tools and Applications 76, 731-755, 2017 | 29 | 2017 |
| Graph regularized multilayer concept factorization for data representation X Li, X Shen, Z Shu, Q Ye, C Zhao Neurocomputing 238, 139-151, 2017 | 28 | 2017 |
| A word-embedding-based steganalysis method for linguistic steganography via synonym substitution L Xiang, J Yu, C Yang, D Zeng, X Shen IEEE Access 6, 64131-64141, 2018 | 27 | 2018 |
| Orthogonal multiset canonical correlation analysis based on fractional-order and its application in multiple feature extraction and recognition X Shen, Q Sun Neural Processing Letters 42, 301-316, 2015 | 27 | 2015 |
| Orthogonal canonical correlation analysis and its application in feature fusion XB Shen, QS Sun, YH Yuan Proceedings of the 16th International Conference on Information Fusion, 151-157, 2013 | 26 | 2013 |
Dr. Yun-Hao YuanDepartment of Computer Science and Technology, Yangzhou UniversityVerified email at yzu.edu.cn
