Robust sparse linear discriminant analysis J Wen, X Fang, J Cui, L Fei, K Yan, Y Chen, Y Xu IEEE Transactions on Circuits and Systems for Video Technology 29 (2), 390-403, 2018 | 380 | 2018 |
Adaptive graph completion based incomplete multi-view clustering J Wen, K Yan, Z Zhang, Y Xu, J Wang, L Fei, B Zhang IEEE Transactions on Multimedia 23, 2493-2504, 2020 | 188 | 2020 |
Low-rank preserving projection via graph regularized reconstruction J Wen, N Han, X Fang, L Fei, K Yan, S Zhan IEEE transactions on cybernetics 49 (4), 1279-1291, 2018 | 170 | 2018 |
DeepSVM-fold: protein fold recognition by combining support vector machines and pairwise sequence similarity scores generated by deep learning networks B Liu, CC Li, K Yan Briefings in bioinformatics 21 (5), 1733-1741, 2020 | 149 | 2020 |
Deep learning for image denoising: A survey C Tian, Y Xu, L Fei, K Yan Genetic and Evolutionary Computing: Proceedings of the Twelfth International …, 2019 | 146 | 2019 |
sAMPpred-GAT: prediction of antimicrobial peptide by graph attention network and predicted peptide structure K Yan, H Lv, Y Guo, W Peng, B Liu Bioinformatics 39 (1), btac715, 2023 | 108 | 2023 |
Deep double incomplete multi-view multi-label learning with incomplete labels and missing views J Wen, C Liu, S Deng, Y Liu, L Fei, K Yan, Y Xu IEEE transactions on neural networks and learning systems, 2023 | 87 | 2023 |
Protein fold recognition based on multi-view modeling K Yan, X Fang, Y Xu, B Liu Bioinformatics 35 (17), 2982-2990, 2019 | 86 | 2019 |
Projective incomplete multi-view clustering S Deng, J Wen, C Liu, K Yan, G Xu, Y Xu IEEE Transactions on Neural Networks and Learning Systems, 2023 | 68 | 2023 |
Fold-LTR-TCP: protein fold recognition based on triadic closure principle B Liu, Y Zhu, K Yan Briefings in Bioinformatics 21 (6), 2185-2193, 2020 | 59 | 2020 |
FoldRec-C2C: protein fold recognition by combining cluster-to-cluster model and protein similarity network J Shao, K Yan, B Liu Briefings in bioinformatics 22 (3), bbaa144, 2021 | 54 | 2021 |
TPpred-ATMV: therapeutic peptide prediction by adaptive multi-view tensor learning model K Yan, H Lv, Y Guo, Y Chen, H Wu, B Liu Bioinformatics 38 (10), 2712-2718, 2022 | 51 | 2022 |
PreTP-EL: prediction of therapeutic peptides based on ensemble learning Y Guo, K Yan, H Lv, B Liu Briefings in bioinformatics 22 (6), bbab358, 2021 | 50 | 2021 |
Protein fold recognition based on sparse representation based classification BL K Yan, Y Xu, X Fang, C Zheng Artificial Intelligence in Medicine 79, 1-8, 2017 | 47 | 2017 |
Local multiple directional pattern of palmprint image L Fei, J Wen, Z Zhang, K Yan, Z Zhong 2016 23rd International Conference on Pattern Recognition (ICPR), 3013-3018, 2016 | 34 | 2016 |
iRO-PsekGCC: identify DNA replication origins based on pseudo k-tuple GC composition B Liu, S Chen, K Yan, F Weng Frontiers in Genetics 10, 842, 2019 | 32 | 2019 |
PreTP-Stack: prediction of therapeutic peptide based on the stacked ensemble learning K Yan, H Lv, J Wen, Y Guo, Y Xu, B Liu IEEE/ACM transactions on computational biology and bioinformatics 20 (2 …, 2022 | 30 | 2022 |
AMPpred-EL: An effective antimicrobial peptide prediction model based on ensemble learning H Lv, K Yan, Y Guo, Q Zou, AEL Hesham, B Liu Computers in Biology and Medicine 146, 105577, 2022 | 26 | 2022 |
PreRBP-TL: prediction of species-specific RNA-binding proteins based on transfer learning J Zhang, K Yan, Q Chen, B Liu Bioinformatics 38 (8), 2135-2143, 2022 | 26 | 2022 |
Protein fold recognition by combining support vector machines and pairwise sequence similarity scores K Yan, J Wen, JX Liu, Y Xu, B Liu IEEE/ACM Transactions on Computational Biology and Bioinformatics 18 (5 …, 2020 | 19 | 2020 |