| Adaptive activation functions in convolutional neural networks S Qian, H Liu, C Liu, S Wu, H San Wong Neurocomputing 272, 204-212, 2018 | 182 | 2018 |
| Sparse logistic regression with a L1/2 penalty for gene selection in cancer classification Y Liang, C Liu, XZ Luan, KS Leung, TM Chan, ZB Xu, H Zhang BMC bioinformatics 14, 1-12, 2013 | 175 | 2013 |
| Differences first in asymmetric brain: A bi-hemisphere discrepancy convolutional neural network for EEG emotion recognition D Huang, S Chen, C Liu, L Zheng, Z Tian, D Jiang Neurocomputing 448, 140-151, 2021 | 96 | 2021 |
| Context-and sentiment-aware networks for emotion recognition in conversation G Tu, J Wen, C Liu, D Jiang, E Cambria IEEE Transactions on Artificial Intelligence 3 (5), 699-708, 2022 | 62 | 2022 |
| Corpus-based topic diffusion for short text clustering CT Zheng, C Liu, H San Wong Neurocomputing 275, 2444-2458, 2018 | 59 | 2018 |
| Dynamic interactive multiview memory network for emotion recognition in conversation J Wen, D Jiang, G Tu, C Liu, E Cambria Information Fusion 91, 123-133, 2023 | 36 | 2023 |
| Mutual learning of complementary networks via residual correction for improving semi-supervised classification S Wu, J Li, C Liu, Z Yu, HS Wong Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 34 | 2019 |
| Structured penalized logistic regression for gene selection in gene expression data analysis C Liu, H San Wong IEEE/ACM transactions on computational biology and bioinformatics 16 (1 …, 2017 | 34 | 2017 |
| Robust multi-view non-negative matrix factorization with adaptive graph and diversity constraints C Li, H Che, MF Leung, C Liu, Z Yan Information Sciences 634, 587-607, 2023 | 33 | 2023 |
| A hybrid intelligent model for acute hypotensive episode prediction with large-scale data D Jiang, G Tu, D Jin, K Wu, C Liu, L Zheng, T Zhou Information Sciences 546, 787-802, 2021 | 30 | 2021 |
| The L1/2 regularization method for variable selection in the Cox model C Liu, Y Liang, XZ Luan, KS Leung, TM Chan, ZB Xu, H Zhang Applied Soft Computing 14, 498-503, 2014 | 30 | 2014 |
| A machine emotion transfer model for intelligent human-machine interaction based on group division G Xiao, Y Ma, C Liu, D Jiang Mechanical Systems and Signal Processing 142, 106736, 2020 | 28 | 2020 |
| Unsupervised discriminative feature learning via finding a clustering-friendly embedding space W Cao, Z Zhang, C Liu, R Li, Q Jiao, Z Yu, HS Wong Pattern Recognition 129, 108768, 2022 | 25 | 2022 |
| Semi-supervised deep coupled ensemble learning with classification landmark exploration J Li, S Wu, C Liu, Z Yu, HS Wong IEEE Transactions on Image Processing 29, 538-550, 2019 | 25 | 2019 |
| Exploiting target data to learn deep convolutional networks for scene-adapted human detection S Wu, S Wang, R Laganiere, C Liu, HS Wong, Y Xu IEEE Transactions on Image Processing 27 (3), 1418-1432, 2017 | 25 | 2017 |
| Supervised graph clustering for cancer subtyping based on survival analysis and integration of multi-omic tumor data C Liu, W Cao, S Wu, W Shen, D Jiang, Z Yu, HS Wong IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (2 …, 2020 | 24 | 2020 |
| Gan-based enhanced deep subspace clustering networks Z Yu, Z Zhang, W Cao, C Liu, CLP Chen, HS Wong IEEE Transactions on Knowledge and Data Engineering 34 (7), 3267-3281, 2020 | 21 | 2020 |
| Multitask feature selection by graph-clustered feature sharing C Liu, CT Zheng, S Wu, Z Yu, HS Wong IEEE transactions on cybernetics 50 (1), 74-86, 2018 | 21 | 2018 |
| Self-supervised graph completion for incomplete multi-view clustering C Liu, S Wu, R Li, D Jiang, HS Wong IEEE Transactions on Knowledge and Data Engineering, 2023 | 20 | 2023 |
| Adaptive graph nonnegative matrix factorization with the self-paced regularization X Yang, H Che, MF Leung, C Liu Applied Intelligence 53 (12), 15818-15835, 2023 | 19 | 2023 |
