Ke Yan

48 papers B 1Journal 36Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
PepLM-GNN: A graph neural network framework leveraging pre-trained language models for peptide-protein binding prediction.
PLoS Comput. Biol.
Ke Yan, Meijing Li, Shutao Chen, Tianyi Liu, Jing Hao, Bin Liu, Zhen Li
2025 J jnl
Accurate prediction of toxicity peptide and its function using multi-view tensor learning and latent semantic learning framework.
Bioinform.
Ke Yan, Shutao Chen, Bin Liu, Hao Wu
2025 J jnl
Protein Language Pragmatic Analysis and Progressive Transfer Learning for Profiling Peptide-Protein Interactions.
IEEE Trans. Neural Networks Learn. Syst.
Shutao Chen, Ke Yan, Xuelong Li, Bin Liu
2025 J jnl
iMFP-LG: Identify Novel Multi-functional Peptides Using Protein Language Models and Graph-based Deep Learning.
Genom. Proteom. Bioinform.
Jiawei Luo, Kejuan Zhao, Junjie Chen, Caihua Yang, Fuchuan Qu, Yumeng Liu, Xiaopeng Jin, Ke Yan, Yang Zhang, Bin Liu
2024 J jnl
Deep Double Incomplete Multi-View Multi-Label Learning With Incomplete Labels and Missing Views.
IEEE Trans. Neural Networks Learn. Syst.
Jie Wen, Chengliang Liu, Shijie Deng, Yicheng Liu, Lunke Fei, Ke Yan, Yong Xu
2024 J jnl
Projective Incomplete Multi-View Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Shijie Deng, Jie Wen, Chengliang Liu, Ke Yan, Gehui Xu, Yong Xu
2024 J jnl
TPpred-SC: multi-functional therapeutic peptide prediction based on multi-label supervised contrastive learning.
Sci. China Inf. Sci.
Ke Yan, Hongwu Lv, Jiangyi Shao, Shutao Chen, Bin Liu
2023 J jnl
DAmiRLocGNet: miRNA subcellular localization prediction by combining miRNA-disease associations and graph convolutional networks.
Briefings Bioinform.
Tao Bai, Ke Yan, Bin Liu
2023 J jnl
PreHom-PCLM: protein remote homology detection by combing motifs and protein cubic language model.
Briefings Bioinform.
Jiangyi Shao, Qi Zhang, Ke Yan, Bin Liu
2023 J jnl
PreTP-2L: identification of therapeutic peptides and their types using two-layer ensemble learning framework.
Bioinform.
Ke Yan, Yichen Guo, Bin Liu
2023 J jnl
PreTP-Stack: Prediction of Therapeutic Peptides Based on the Stacked Ensemble Learing.
IEEE ACM Trans. Comput. Biol. Bioinform.
Ke Yan, Hongwu Lv, Jie Wen, Yichen Guo, Yong Xu, Bin Liu
2023 J jnl
iDRPro-SC: identifying DNA-binding proteins and RNA-binding proteins based on subfunction classifiers.
Briefings Bioinform.
Ke Yan, Jiawei Feng, Jing Huang, Hao Wu
2023 J jnl
sAMPpred-GAT: prediction of antimicrobial peptide by graph attention network and predicted peptide structure.
Bioinform.
Ke Yan, Hongwu Lv, Yichen Guo, Wei Peng, Bin Liu
2022 J jnl
AMPpred-EL: An effective antimicrobial peptide prediction model based on ensemble learning.
Comput. Biol. Medicine
Hongwu Lv, Ke Yan, Yichen Guo, Quan Zou, Abd El-Latif Hesham, Bin Liu
2022 J jnl
PreRBP-TL: prediction of species-specific RNA-binding proteins based on transfer learning.
Bioinform.
Jun Zhang, Ke Yan, Qingcai Chen, Bin Liu
2022 J jnl
TPpred-ATMV: therapeutic peptide prediction by adaptive multi-view tensor learning model.
Bioinform.
Ke Yan, Hongwu Lv, Yichen Guo, Yongyong Chen, Hao Wu, Bin Liu
2022 J jnl
iDRNA-ITF: identifying DNA- and RNA-binding residues in proteins based on induction and transfer framework.
Briefings Bioinform.
Ning Wang, Ke Yan, Jun Zhang, Bin Liu
2021 J jnl
Adaptive Graph Completion Based Incomplete Multi-View Clustering.
IEEE Trans. Multim.
Jie Wen, Ke Yan, Zheng Zhang, Yong Xu, Junqian Wang, Lunke Fei, Bob Zhang
2021 J jnl
FoldRec-C2C: protein fold recognition by combining cluster-to-cluster model and protein similarity network.
Briefings Bioinform.
Jiangyi Shao, Ke Yan, Bin Liu
2021 J jnl
MLDH-Fold: Protein fold recognition based on multi-view low-rank modeling.
Neurocomputing
Ke Yan, Jie Wen, Yong Xu, Bin Liu
2021 J jnl
PreTP-EL: prediction of therapeutic peptides based on ensemble learning.
Briefings Bioinform.
Yichen Guo, Ke Yan, Hongwu Lv, Bin Liu
2021 J jnl
Protein Fold Recognition Based on Auto-Weighted Multi-View Graph Embedding Learning Model.
IEEE ACM Trans. Comput. Biol. Bioinform.
Ke Yan, Jie Wen, Yong Xu, Bin Liu
2021 J jnl
Protein Fold Recognition by Combining Support Vector Machines and Pairwise Sequence Similarity Scores.
IEEE ACM Trans. Comput. Biol. Bioinform.
Ke Yan, Jie Wen, Jin-Xing Liu, Yong Xu, Bin Liu
2020 J jnl
DeepSVM-fold: protein fold recognition by combining support vector machines and pairwise sequence similarity scores generated by deep learning networks.
Briefings Bioinform.
Bin Liu, Chen-Chen Li, Ke Yan
2020 J jnl
Fold-LTR-TCP: protein fold recognition based on triadic closure principle.
Briefings Bioinform.
Bin Liu, Yulin Zhu, Ke Yan
2019 J jnl
Low-Rank Preserving Projection Via Graph Regularized Reconstruction.
IEEE Trans. Cybern.
Jie Wen, Na Han, Xiaozhao Fang, Lunke Fei, Ke Yan, Shanhua Zhan
2019 J jnl
Protein fold recognition based on multi-view modeling.
Bioinform.
Ke Yan, Xiaozhao Fang, Yong Xu, Bin Liu
2019 J jnl
Robust Sparse Linear Discriminant Analysis.
IEEE Trans. Circuits Syst. Video Technol.
Jie Wen, Xiaozhao Fang, Jinrong Cui, Lunke Fei, Ke Yan, Yan Chen, Yong Xu
2018 — conf
Deep Learning for Image Denoising: A Survey.
ICGEC
Chunwei Tian, Yong Xu, Lunke Fei, Ke Yan
2018 J jnl
Deep Learning for Image Denoising: A Survey.
CoRR
Chunwei Tian, Yong Xu, Lunke Fei, Ke Yan
2018 J jnl
Learning Domain-Invariant Subspace Using Domain Features and Independence Maximization.
IEEE Trans. Cybern.
Ke Yan, Lu Kou, David Zhang
2017 — book
Breath Analysis for Medical Applications
David Zhang, Dongmin Guo, Ke Yan
2017 J jnl
Correcting Instrumental Variation and Time-Varying Drift Using Parallel and Serial Multitask Learning.
IEEE Trans. Instrum. Meas.
Ke Yan, David Zhang, Yong Xu
2017 J jnl
Protein fold recognition based on sparse representation based classification.
Artif. Intell. Medicine
Ke Yan, Yong Xu, Xiaozhao Fang, Chunhou Zheng, Bin Liu
2016 — conf
An Adaptive Weighted Degree Kernel to Predict the Splice Site.
CCBR
Tianqi Wang, Ke Yan, Yong Xu, Jin-Xing Liu
2016 J jnl
Correcting Instrumental Variation and Time-Varying Drift: A Transfer Learning Approach With Autoencoders.
IEEE Trans. Instrum. Meas.
Ke Yan, David Zhang
2016 J jnl
Domain Adaptation via Maximum Independence of Domain Features.
CoRR
Ke Yan, Lu Kou, David Zhang
2016 J jnl
Local Multiple Directional Pattern of Palmprint Image.
CoRR
Lunke Fei, Jie Wen, Zheng Zhang, Ke Yan, Zuofeng Zhong
2016 B conf
Local multiple directional pattern of palmprint image.
ICPR
Lunke Fei, Jie Wen, Zheng Zhang, Ke Yan, Zuofeng Zhong
2015 — conf
An Improved Denoising Method Based on Wavelet Transform for Processing Bases Sequence Images.
ICIC (1)
Ke Yan, Jin-Xing Liu, Yong Xu
2014 — conf
Automatic Two Phase Sparse Representation Method and Face Recognition Experiments.
CCBR
Ke Yan, Yong Xu, Jian Zhang
2014 — conf
Blood glucose prediction by breath analysis system with feature selection and model fusion.
EMBC
Ke Yan, David Zhang
2014 J jnl
Design of a Breath Analysis System for Diabetes Screening and Blood Glucose Level Prediction.
IEEE Trans. Biomed. Eng.
Ke Yan, David Zhang, Darong Wu, Hua Wei, Guangming Lu
2014 — conf
Disguised face detection and recognition under the complex background.
CIBIM
Jing Li, Bin Li, Yong Xu, Kaixuan Lu, Ke Yan, Lunke Fei
2014 — conf
Sensor Evaluation in a Breath Analysis System.
ICMB
Ke Yan, David Zhang
2014 — conf
Standardization of Gas Sensors in a Breath Analysis System.
CCBR
Yujing Ning, Guangming Lu, Ke Yan, Xia Zhang
2012 — conf
A novel breath analysis system for diabetes diagnosis.
ICCH
Ke Yan, David Zhang
2011 — conf
Gabor Surface Feature for face recognition.
ACPR
Ke Yan, Youbin Chen, David Zhang