Gabor Surface Feature for face recognition. - Ke Yan 003; Youbin Chen; David Zhang 001 (ACPR, 2011)

A novel breath analysis system for diabetes diagnosis. - Ke Yan 003; David Zhang 001 (ICCH, 2012)

Automatic Two Phase Sparse Representation Method and Face Recognition Experiments. - Ke Yan 003; Yong Xu 001; Jian Zhang 002 (CCBR, 2014)

Disguised face detection and recognition under the complex background. - Jing Li; Bin Li; Yong Xu 001; Kaixuan Lu; Ke Yan 003; Lunke Fei (CIBIM, 2014)

Blood glucose prediction by breath analysis system with feature selection and model fusion. - Ke Yan 003; David Zhang 001 (EMBC, 2014)

Sensor Evaluation in a Breath Analysis System. - Ke Yan 003; David Zhang 001 (ICMB, 2014)

Design of a Breath Analysis System for Diabetes Screening and Blood Glucose Level Prediction. - Ke Yan 003; David Zhang 001; Darong Wu; Hua Wei; Guangming Lu (IEEE Trans. Biomed. Eng., 2014)

An Improved Denoising Method Based on Wavelet Transform for Processing Bases Sequence Images. - Ke Yan 003; Jin-Xing Liu 001; Yong Xu 001 (ICIC (1), 2015)

An Adaptive Weighted Degree Kernel to Predict the Splice Site. - Tianqi Wang; Ke Yan 003; Yong Xu 001; Jin-Xing Liu 001 (CCBR, 2016)

Local multiple directional pattern of palmprint image. - Lunke Fei; Jie Wen 001; Zheng Zhang 006; Ke Yan 003; Zuofeng Zhong (ICPR, 2016)

Domain Adaptation via Maximum Independence of Domain Features. - Ke Yan 003; Lu Kou; David Zhang 001 (CoRR, 2016)

Correcting Instrumental Variation and Time-Varying Drift: A Transfer Learning Approach With Autoencoders. - Ke Yan 003; David Zhang 001 (IEEE Trans. Instrum. Meas., 2016)

Breath Analysis for Medical Applications - David Zhang 001; Dongmin Guo; Ke Yan 003 (Springer, 2017)

Protein fold recognition based on sparse representation based classification. - Ke Yan 003; Yong Xu 001; Xiaozhao Fang; Chunhou Zheng 001; Bin Liu 014 (Artif. Intell. Medicine, 2017)

Correcting Instrumental Variation and Time-Varying Drift Using Parallel and Serial Multitask Learning. - Ke Yan 003; David Zhang 001; Yong Xu 001 (IEEE Trans. Instrum. Meas., 2017)

Deep Learning for Image Denoising: A Survey. - Chunwei Tian; Yong Xu 001; Lunke Fei; Ke Yan 003 (ICGEC, 2018)

Learning Domain-Invariant Subspace Using Domain Features and Independence Maximization. - Ke Yan 003; Lu Kou; David Zhang 001 (IEEE Trans. Cybern., 2018)

Protein fold recognition based on multi-view modeling. - Ke Yan 003; Xiaozhao Fang; Yong Xu 001; Bin Liu 014 (Bioinform., 2019)

Robust Sparse Linear Discriminant Analysis. - Jie Wen 001; Xiaozhao Fang; Jinrong Cui; Lunke Fei; Ke Yan 003; Yan Chen 018; Yong Xu 001 (IEEE Trans. Circuits Syst. Video Technol., 2019)

Low-Rank Preserving Projection Via Graph Regularized Reconstruction. - Jie Wen 001; Na Han; Xiaozhao Fang; Lunke Fei; Ke Yan 003; Shanhua Zhan (IEEE Trans. Cybern., 2019)

DeepSVM-fold: protein fold recognition by combining support vector machines and pairwise sequence similarity scores generated by deep learning networks. - Bin Liu 014; Chen-Chen Li; Ke Yan 003 (Briefings Bioinform., 2020)

Fold-LTR-TCP: protein fold recognition based on triadic closure principle. - Bin Liu 014; Yulin Zhu; Ke Yan 003 (Briefings Bioinform., 2020)

PreTP-EL: prediction of therapeutic peptides based on ensemble learning. - Yichen Guo; Ke Yan 003; Hongwu Lv; Bin Liu 014 (Briefings Bioinform., 2021)

FoldRec-C2C: protein fold recognition by combining cluster-to-cluster model and protein similarity network. - Jiangyi Shao; Ke Yan 003; Bin Liu 014 (Briefings Bioinform., 2021)

MLDH-Fold: Protein fold recognition based on multi-view low-rank modeling. - Ke Yan 003; Jie Wen 001; Yong Xu 001; Bin Liu 014 (Neurocomputing, 2021)

Protein Fold Recognition by Combining Support Vector Machines and Pairwise Sequence Similarity Scores. - Ke Yan 003; Jie Wen 001; Jin-Xing Liu 001; Yong Xu 001; Bin Liu 014 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Protein Fold Recognition Based on Auto-Weighted Multi-View Graph Embedding Learning Model. - Ke Yan 003; Jie Wen 001; Yong Xu 001; Bin Liu 014 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Adaptive Graph Completion Based Incomplete Multi-View Clustering. - Jie Wen 001; Ke Yan 003; Zheng Zhang 006; Yong Xu 001; Junqian Wang; Lunke Fei; Bob Zhang 001 (IEEE Trans. Multim., 2021)

iDRNA-ITF: identifying DNA- and RNA-binding residues in proteins based on induction and transfer framework. - Ning Wang 054; Ke Yan 003; Jun Zhang 078; Bin Liu 014 (Briefings Bioinform., 2022)

TPpred-ATMV: therapeutic peptide prediction by adaptive multi-view tensor learning model. - Ke Yan 003; Hongwu Lv; Yichen Guo; Yongyong Chen; Hao Wu 066; Bin Liu 014 (Bioinform., 2022)

PreRBP-TL: prediction of species-specific RNA-binding proteins based on transfer learning. - Jun Zhang 078; Ke Yan 003; Qingcai Chen; Bin Liu 014 (Bioinform., 2022)

AMPpred-EL: An effective antimicrobial peptide prediction model based on ensemble learning. - Hongwu Lv; Ke Yan 003; Yichen Guo; Quan Zou 001; Abd El-Latif Hesham; Bin Liu 014 (Comput. Biol. Medicine, 2022)

PreTP-Stack: Prediction of Therapeutic Peptides Based on the Stacked Ensemble Learing. - Ke Yan 003; Hongwu Lv; Jie Wen 001; Yichen Guo; Yong Xu 001; Bin Liu 014 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

sAMPpred-GAT: prediction of antimicrobial peptide by graph attention network and predicted peptide structure. - Ke Yan 003; Hongwu Lv; Yichen Guo; Wei Peng; Bin Liu 014 (Bioinform., 2023)

PreTP-2L: identification of therapeutic peptides and their types using two-layer ensemble learning framework. - Ke Yan 003; Yichen Guo; Bin Liu 014 (Bioinform., 2023)

DAmiRLocGNet: miRNA subcellular localization prediction by combining miRNA-disease associations and graph convolutional networks. - Tao Bai; Ke Yan 003; Bin Liu 014 (Briefings Bioinform., 2023)

iDRPro-SC: identifying DNA-binding proteins and RNA-binding proteins based on subfunction classifiers. - Ke Yan 003; Jiawei Feng; Jing Huang; Hao Wu 066 (Briefings Bioinform., 2023)

PreHom-PCLM: protein remote homology detection by combing motifs and protein cubic language model. - Jiangyi Shao; Qi Zhang; Ke Yan 003; Bin Liu 014 (Briefings Bioinform., 2023)

TPpred-SC: multi-functional therapeutic peptide prediction based on multi-label supervised contrastive learning. - Ke Yan 003; Hongwu Lv; Jiangyi Shao; Shutao Chen; Bin Liu 014 (Sci. China Inf. Sci., 2024)

Projective Incomplete Multi-View Clustering. - Shijie Deng; Jie Wen 001; Chengliang Liu 003; Ke Yan 003; Gehui Xu; Yong Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Deep Double Incomplete Multi-View Multi-Label Learning With Incomplete Labels and Missing Views. - Jie Wen 001; Chengliang Liu 003; Shijie Deng; Yicheng Liu; Lunke Fei; Ke Yan 003; Yong Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

iMFP-LG: Identify Novel Multi-functional Peptides Using Protein Language Models and Graph-based Deep Learning. - Jiawei Luo; Kejuan Zhao; Junjie Chen 004; Caihua Yang; Fuchuan Qu; Yumeng Liu; Xiaopeng Jin; Ke Yan 003; Yang Zhang 057; Bin Liu 014 (Genom. Proteom. Bioinform., 2025)