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Ke Yan 0003
Person information
- affiliation: Beijing Institute of Technology, School of Computer Science and Technology, China
- affiliation: Harbin Institute of Technology, Bio-Computing Research Center, Shenzhen, China
Other persons with the same name
- Ke Yan — disambiguation page
- Ke Yan 0001 — National University of Singapore, College of Design and Engineering, Singapore (and 2 more)
- Ke Yan 0002 — University of Electronic Science and Technology of China, Chengdu, China
- Ke Yan 0004 — Xi'an Jiaotong University, Xi'an, China
- Ke Yan 0005 — University of Sydney, Sydney, Australia
- Ke Yan 0006 — National Institutes of Health Clinical Center, Bethesda, USA
- Ke Yan 0007 — Tencent Youtu Lab, Shanghai, China (and 1 more)
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2020 – today
- 2024
- [j27]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): 10539-10551 (2024) - [j26]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): 11396-11408 (2024) - 2023
- [j25]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) - [j24]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) - [j23]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) - [j22]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) - [j21]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): 1337-1344 (2023) - 2022
- [j20]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) - [j19]Jun Zhang, Ke Yan, Qingcai Chen, Bin Liu:
PreRBP-TL: prediction of species-specific RNA-binding proteins based on transfer learning. Bioinform. 38(8): 2135-2143 (2022) - [j18]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): 2712-2718 (2022) - [j17]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: 105577 (2022) - 2021
- [j16]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) - [j15]Yichen Guo, Ke Yan, Hongwu Lv, Bin Liu:
PreTP-EL: prediction of therapeutic peptides based on ensemble learning. Briefings Bioinform. 22(6) (2021) - [j14]Ke Yan, Jie Wen, Yong Xu, Bin Liu:
MLDH-Fold: Protein fold recognition based on multi-view low-rank modeling. Neurocomputing 421: 127-139 (2021) - [j13]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): 2008-2016 (2021) - [j12]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): 2682-2691 (2021) - [j11]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: 2493-2504 (2021) - 2020
- [j10]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): 1733-1741 (2020) - [j9]Bin Liu, Yulin Zhu, Ke Yan:
Fold-LTR-TCP: protein fold recognition based on triadic closure principle. Briefings Bioinform. 21(6): 2185-2193 (2020)
2010 – 2019
- 2019
- [j8]Ke Yan, Xiaozhao Fang, Yong Xu, Bin Liu:
Protein fold recognition based on multi-view modeling. Bioinform. 35(17): 2982-2990 (2019) - [j7]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): 390-403 (2019) - [j6]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): 1279-1291 (2019) - 2018
- [j5]Ke Yan, Lu Kou, David Zhang:
Learning Domain-Invariant Subspace Using Domain Features and Independence Maximization. IEEE Trans. Cybern. 48(1): 288-299 (2018) - [c10]Chunwei Tian, Yong Xu, Lunke Fei, Ke Yan:
Deep Learning for Image Denoising: A Survey. ICGEC 2018: 563-572 - [i3]Chunwei Tian, Yong Xu, Lunke Fei, Ke Yan:
Deep Learning for Image Denoising: A Survey. CoRR abs/1810.05052 (2018) - 2017
- [b1]David Zhang, Dongmin Guo, Ke Yan:
Breath Analysis for Medical Applications. Springer 2017, ISBN 978-981-10-4321-5, pp. 1-309 - [j4]Ke Yan, Yong Xu, Xiaozhao Fang, Chunhou Zheng, Bin Liu:
Protein fold recognition based on sparse representation based classification. Artif. Intell. Medicine 79: 1-8 (2017) - [j3]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): 2306-2316 (2017) - 2016
- [j2]Ke Yan, David Zhang:
Correcting Instrumental Variation and Time-Varying Drift: A Transfer Learning Approach With Autoencoders. IEEE Trans. Instrum. Meas. 65(9): 2012-2022 (2016) - [c9]Tianqi Wang, Ke Yan, Yong Xu, Jin-Xing Liu:
An Adaptive Weighted Degree Kernel to Predict the Splice Site. CCBR 2016: 739-746 - [c8]Lunke Fei, Jie Wen, Zheng Zhang, Ke Yan, Zuofeng Zhong:
Local multiple directional pattern of palmprint image. ICPR 2016: 3013-3018 - [i2]Ke Yan, Lu Kou, David Zhang:
Domain Adaptation via Maximum Independence of Domain Features. CoRR abs/1603.04535 (2016) - [i1]Lunke Fei, Jie Wen, Zheng Zhang, Ke Yan, Zuofeng Zhong:
Local Multiple Directional Pattern of Palmprint Image. CoRR abs/1607.06166 (2016) - 2015
- [c7]Ke Yan, Jin-Xing Liu, Yong Xu:
An Improved Denoising Method Based on Wavelet Transform for Processing Bases Sequence Images. ICIC (1) 2015: 357-365 - 2014
- [j1]Ke Yan, David Zhang, Darong Wu, Hua Wei, Guangming Lu:
Design of a Breath Analysis System for Diabetes Screening and Blood Glucose Level Prediction. IEEE Trans. Biomed. Eng. 61(11): 2787-2795 (2014) - [c6]Ke Yan, Yong Xu, Jian Zhang:
Automatic Two Phase Sparse Representation Method and Face Recognition Experiments. CCBR 2014: 22-30 - [c5]Jing Li, Bin Li, Yong Xu, Kaixuan Lu, Ke Yan, Lunke Fei:
Disguised face detection and recognition under the complex background. CIBIM 2014: 87-93 - [c4]Ke Yan, David Zhang:
Blood glucose prediction by breath analysis system with feature selection and model fusion. EMBC 2014: 6406-6409 - [c3]Ke Yan, David Zhang:
Sensor Evaluation in a Breath Analysis System. ICMB 2014: 35-40 - 2012
- [c2]Ke Yan, David Zhang:
A novel breath analysis system for diabetes diagnosis. ICCH 2012: 166-170 - 2011
- [c1]Ke Yan, Youbin Chen, David Zhang:
Gabor Surface Feature for face recognition. ACPR 2011: 288-292
Coauthor Index
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last updated on 2024-12-18 19:21 CET by the dblp team
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