| Nonnegative matrix factorization with mixed hypergraph regularization for community detection W Wu, S Kwong, Y Zhou, Y Jia, W Gao Information Sciences 435, 263-281, 2018 | 112 | 2018 |
| Attention-driven graph clustering network Z Peng, H Liu, Y Jia, J Hou Proceedings of the 29th ACM international conference on multimedia, 935-943, 2021 | 104 | 2021 |
| Multi-view spectral clustering tailored tensor low-rank representation Y Jia, H Liu, J Hou, S Kwong, Q Zhang IEEE Transactions on Circuits and Systems for Video Technology 31 (12), 4784 …, 2021 | 86 | 2021 |
| Semi-supervised non-negative matrix factorization with dissimilarity and similarity regularization Y Jia, S Kwong, J Hou, W Wu IEEE transactions on neural networks and learning systems 31 (7), 2510-2521, 2019 | 84 | 2019 |
| Active k-labelsets ensemble for multi-label classification R Wang, S Kwong, X Wang, Y Jia Pattern Recognition 109, 107583, 2021 | 79 | 2021 |
| Pairwise constraint propagation-induced symmetric nonnegative matrix factorization W Wu, Y Jia, S Kwong, J Hou IEEE transactions on neural networks and learning systems 29 (12), 6348-6361, 2018 | 75 | 2018 |
| Joint machine learning and game theory for rate control in high efficiency video coding W Gao, S Kwong, Y Jia IEEE Transactions on Image Processing 26 (12), 6074-6089, 2017 | 70 | 2017 |
| Semisupervised adaptive symmetric non-negative matrix factorization Y Jia, H Liu, J Hou, S Kwong IEEE transactions on cybernetics 51 (5), 2550-2562, 2020 | 66 | 2020 |
| Adaptive weights generation for decomposition-based multi-objective optimization using Gaussian process regression M Wu, S Kwong, Y Jia, K Li, Q Zhang Proceedings of the Genetic and Evolutionary Computation Conference, 641-648, 2017 | 60 | 2017 |
| Semi-supervised spectral clustering with structured sparsity regularization Y Jia, S Kwong, J Hou IEEE Signal Processing Letters 25 (3), 403-407, 2018 | 40 | 2018 |
| Ensemble clustering via co-association matrix self-enhancement Y Jia, S Tao, R Wang, Y Wang IEEE Transactions on Neural Networks and Learning Systems, 2023 | 36 | 2023 |
| Simultaneous dimensionality reduction and classification via dual embedding regularized nonnegative matrix factorization W Wu, S Kwong, J Hou, Y Jia, HHS Ip IEEE Transactions on Image Processing 28 (8), 3836-3847, 2019 | 34 | 2019 |
| Adaptive attribute and structure subspace clustering network Z Peng, H Liu, Y Jia, J Hou IEEE Transactions on Image Processing 31, 3430-3439, 2022 | 33 | 2022 |
| Superpixel-guided discriminative low-rank representation of hyperspectral images for classification S Yang, J Hou, Y Jia, S Mei, Q Du IEEE Transactions on Image Processing 30, 8823-8835, 2021 | 31 | 2021 |
| Global-local balanced low-rank approximation of hyperspectral images for classification H Liu, Y Jia, J Hou, Q Zhang IEEE Transactions on Circuits and Systems for Video Technology 32 (4), 2013-2024, 2021 | 31 | 2021 |
| Maximum entropy subspace clustering network Z Peng, Y Jia, H Liu, J Hou, Q Zhang IEEE Transactions on Circuits and Systems for Video Technology 32 (4), 2199-2210, 2021 | 28 | 2021 |
| Deep attention-guided graph clustering with dual self-supervision Z Peng, H Liu, Y Jia, J Hou IEEE Transactions on Circuits and Systems for Video Technology 33 (7), 3296-3307, 2022 | 25 | 2022 |
| Positive and negative label-driven nonnegative matrix factorization W Wu, Y Jia, S Wang, R Wang, H Fan, S Kwong IEEE Transactions on Circuits and Systems for Video Technology 31 (7), 2698-2710, 2020 | 24 | 2020 |
| Clustering ensemble meets low-rank tensor approximation Y Jia, H Liu, J Hou, Q Zhang Proceedings of the AAAI conference on artificial intelligence 35 (9), 7970-7978, 2021 | 23 | 2021 |
| Pairwise constraint propagation with dual adversarial manifold regularization Y Jia, H Liu, J Hou, S Kwong IEEE transactions on neural networks and learning systems 31 (12), 5575-5587, 2020 | 23 | 2020 |
Junhui HouDepartment of Computer Science, City University of Hong KongVerified email at cityu.edu.hk
