Ke Yan

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 30

Top Topics

Protein Fold Recognition

Top Venues

Briefings Bioinform.

IEEE ACM Trans. Comput. Biol. Bioinform.

IEEE Trans. Cybern.

Publications

Shijie Deng, Jie Wen, Chengliang Liu, Ke Yan, Gehui Xu, Yong Xu
Projective Incomplete Multi-View Clustering. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Jie Wen, Chengliang Liu, Shijie Deng, Yicheng Liu, Lunke Fei, Ke Yan, Yong Xu
Deep Double Incomplete Multi-View Multi-Label Learning With Incomplete Labels and Missing Views. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Ke Yan, Hongwu Lv, Yichen Guo, Wei Peng, Bin Liu
sAMPpred-GAT: prediction of antimicrobial peptide by graph attention network and predicted peptide structure. Bioinform. 39 (1) (2023)
Ke Yan, Hongwu Lv, Jie Wen, Yichen Guo, Yong Xu, Bin Liu
PreTP-Stack: Prediction of Therapeutic Peptides Based on the Stacked Ensemble Learing. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (2) (2023)
Tao Bai, Ke Yan, Bin Liu
DAmiRLocGNet: miRNA subcellular localization prediction by combining miRNA-disease associations and graph convolutional networks. Briefings Bioinform. 24 (4) (2023)
Ke Yan, Jiawei Feng, Jing Huang, Hao Wu
iDRPro-SC: identifying DNA-binding proteins and RNA-binding proteins based on subfunction classifiers. Briefings Bioinform. 24 (4) (2023)
Ke Yan, Yichen Guo, Bin Liu
PreTP-2L: identification of therapeutic peptides and their types using two-layer ensemble learning framework. Bioinform. 39 (4) (2023)
Ning Wang, Ke Yan, Jun Zhang, Bin Liu
iDRNA-ITF: identifying DNA- and RNA-binding residues in proteins based on induction and transfer framework. Briefings Bioinform. 23 (4) (2022)
Ke Yan, Hongwu Lv, Yichen Guo, Yongyong Chen, Hao Wu, Bin Liu
TPpred-ATMV: therapeutic peptide prediction by adaptive multi-view tensor learning model. Bioinform. 38 (10) (2022)
Jun Zhang, Ke Yan, Qingcai Chen, Bin Liu
PreRBP-TL: prediction of species-specific RNA-binding proteins based on transfer learning. Bioinform. 38 (8) (2022)
Hongwu Lv, Ke Yan, Yichen Guo, Quan Zou, Abd El-Latif Hesham, Bin Liu
AMPpred-EL: An effective antimicrobial peptide prediction model based on ensemble learning. Comput. Biol. Medicine 146 (2022)
Yichen Guo, Ke Yan, Hongwu Lv, Bin Liu
PreTP-EL: prediction of therapeutic peptides based on ensemble learning. Briefings Bioinform. 22 (6) (2021)
Jie Wen, Ke Yan, Zheng Zhang, Yong Xu, Junqian Wang, Lunke Fei, Bob Zhang
Adaptive Graph Completion Based Incomplete Multi-View Clustering. IEEE Trans. Multim. 23 (2021)
Jiangyi Shao, Ke Yan, Bin Liu
FoldRec-C2C: protein fold recognition by combining cluster-to-cluster model and protein similarity network. Briefings Bioinform. 22 (3) (2021)
Ke Yan, Jie Wen, Yong Xu, Bin Liu
MLDH-Fold: Protein fold recognition based on multi-view low-rank modeling. Neurocomputing 421 (2021)
Ke Yan, Jie Wen, Jin-Xing Liu, Yong Xu, Bin Liu
Protein Fold Recognition by Combining Support Vector Machines and Pairwise Sequence Similarity Scores. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (5) (2021)
Ke Yan, Jie Wen, Yong Xu, Bin Liu
Protein Fold Recognition Based on Auto-Weighted Multi-View Graph Embedding Learning Model. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (6) (2021)
Bin Liu, Yulin Zhu, Ke Yan
Fold-LTR-TCP: protein fold recognition based on triadic closure principle. Briefings Bioinform. 21 (6) (2020)
Bin Liu, Chen-Chen Li, Ke Yan
DeepSVM-fold: protein fold recognition by combining support vector machines and pairwise sequence similarity scores generated by deep learning networks. Briefings Bioinform. 21 (5) (2020)
Jie Wen, Na Han, Xiaozhao Fang, Lunke Fei, Ke Yan, Shanhua Zhan
Low-Rank Preserving Projection Via Graph Regularized Reconstruction. IEEE Trans. Cybern. 49 (4) (2019)
Ke Yan, Xiaozhao Fang, Yong Xu, Bin Liu
Protein fold recognition based on multi-view modeling. Bioinform. 35 (17) (2019)
Jie Wen, Xiaozhao Fang, Jinrong Cui, Lunke Fei, Ke Yan, Yan Chen, Yong Xu
Robust Sparse Linear Discriminant Analysis. IEEE Trans. Circuits Syst. Video Technol. 29 (2) (2019)
Chunwei Tian, Yong Xu, Lunke Fei, Ke Yan
Deep Learning for Image Denoising: A Survey. ICGEC (2018)
Chunwei Tian, Yong Xu, Lunke Fei, Ke Yan
Deep Learning for Image Denoising: A Survey. CoRR (2018)
Ke Yan, Lu Kou, David Zhang
Learning Domain-Invariant Subspace Using Domain Features and Independence Maximization. IEEE Trans. Cybern. 48 (1) (2018)
Ke Yan, David Zhang, Yong Xu
Correcting Instrumental Variation and Time-Varying Drift Using Parallel and Serial Multitask Learning. IEEE Trans. Instrum. Meas. 66 (9) (2017)
Ke Yan, Yong Xu, Xiaozhao Fang, Chunhou Zheng, Bin Liu
Protein fold recognition based on sparse representation based classification. Artif. Intell. Medicine 79 (2017)
Tianqi Wang, Ke Yan, Yong Xu, Jin-Xing Liu
An Adaptive Weighted Degree Kernel to Predict the Splice Site. CCBR (2016)
Lunke Fei, Jie Wen, Zheng Zhang, Ke Yan, Zuofeng Zhong
Local Multiple Directional Pattern of Palmprint Image. CoRR (2016)
Lunke Fei, Jie Wen, Zheng Zhang, Ke Yan, Zuofeng Zhong
Local multiple directional pattern of palmprint image. ICPR (2016)
Ke Yan, Jin-Xing Liu, Yong Xu
An Improved Denoising Method Based on Wavelet Transform for Processing Bases Sequence Images. ICIC (1) (2015)
Ke Yan, Yong Xu, Jian Zhang
Automatic Two Phase Sparse Representation Method and Face Recognition Experiments. CCBR (2014)
Jing Li, Bin Li, Yong Xu, Kaixuan Lu, Ke Yan, Lunke Fei
Disguised face detection and recognition under the complex background. CIBIM (2014)