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Robust deep fuzzy K-means clustering for image data Journal article
Wu, Xiaoling, Yu, Yu Feng, Chen, Long, Ding, Weiping, Wang, Yingxu. Robust deep fuzzy K-means clustering for image data[J]. Pattern Recognition, 2024, 153, 110504.
Authors:  Wu, Xiaoling;  Yu, Yu Feng;  Chen, Long;  Ding, Weiping;  Wang, Yingxu
Favorite | TC[WOS]:1 TC[Scopus]:2  IF:7.5/7.6 | Submit date：2024/05/16
Deep Convolutional Autoencoder  Laplacian Regularization  Locality Preserving  Unsupervised Image Clustering  
Classification of MLH1 Missense VUS Using Protein Structure-Based Deep Learning-Ramachandran Plot-Molecular Dynamics Simulations Method Journal article
Tam, Benjamin, Qin, Zixin, Zhao, Bojin, Sinha, Siddharth, Lei, Chon Lok, Wang, San Ming. Classification of MLH1 Missense VUS Using Protein Structure-Based Deep Learning-Ramachandran Plot-Molecular Dynamics Simulations Method[J]. International Journal of Molecular Sciences, 2024, 25(2), 850.
Authors:  Tam, Benjamin;  Qin, Zixin;  Zhao, Bojin;  Sinha, Siddharth;  Lei, Chon Lok; et al.
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:4.9/5.6 | Submit date：2024/02/22
Autoencoder  Deep Learning  Mlh1  Molecular Dynamics Simulation  Neural Network  Ramachandran Plot  Vus  
Deep Generative Imputation Model for Missing Not At Random Data Conference paper
Jialei Chen, Yuanbo Xu, Pengyang Wang, Yongjian Yang. Deep Generative Imputation Model for Missing Not At Random Data[C]:ASSOC COMPUTING MACHINERY1601 Broadway, 10th Floor, NEW YORK, NY, UNITED STATES, 2023, 316 - 325.
Authors:  Jialei Chen;  Yuanbo Xu;  Pengyang Wang;  Yongjian Yang
Favorite | TC[WOS]:2 TC[Scopus]:3 | Submit date：2023/12/13
Deep Generative Models  Imputation  Missing Data  Missing Not At Random  Variational Autoencoder  
Boundary-Preserved Deep Denoising of Stochastic Resonance Enhanced Multiphoton Images Journal article
Sheng-Yong Niu, Lun-Zhang Guo, Yue Li, Zhiming Zhang, Tzung-Dau Wang, Kai-Chun Liu, You-Jin Li, Yu Tsao, Tzu-Ming Liu. Boundary-Preserved Deep Denoising of Stochastic Resonance Enhanced Multiphoton Images[J]. IEEE Journal of Translational Engineering in Health and Medicine, 2022, 10, 1800812.
Authors:  Sheng-Yong Niu;  Lun-Zhang Guo;  Yue Li;  Zhiming Zhang;  Tzung-Dau Wang; et al.
Adobe PDF | Favorite | TC[WOS]:1 TC[Scopus]:3  IF:3.7/3.7 | Submit date：2022/12/25
Third Harmonic Generation  Three-photon Fluorescence  Deep Denoising Autoencoder  
Multi-local Collaborative AutoEncoder Journal article
Chu, Jielei, Wang, Hongjun, Liu, Jing, Gong, Zhiguo, Li, Tianrui. Multi-local Collaborative AutoEncoder[J]. Knowledge-Based Systems, 2021, 239, 107844.
Authors:  Chu, Jielei;  Wang, Hongjun;  Liu, Jing;  Gong, Zhiguo;  Li, Tianrui
Favorite | TC[WOS]:3 TC[Scopus]:8  IF:7.2/7.4 | Submit date：2022/03/28
Autoencoder  Deep Collaborative Representation  Feature Learning  Restricted Boltzmann Machine  Unsupervised Clustering  
ChemGenerator: A web server for generating potential ligands for specific targets Journal article
Jing Yang, Ling Hou, Kun-Meng Liu, Wen-Bin He, Yong Cai, Feng-Qing Yang, Yuan-Jia Hu. ChemGenerator: A web server for generating potential ligands for specific targets[J]. Briefings in Bioinformatics, 2021, 22(4).
Authors:  Jing Yang;  Ling Hou;  Kun-Meng Liu;  Wen-Bin He;  Yong Cai; et al.
Favorite | TC[WOS]:0 TC[Scopus]:2  IF:6.8/7.9 | Submit date：2021/12/08
Autoencoder  Deep Learning  Long Short-term Memory (Lstm)  Molecular Generation  Web Server  
A Network Intrusion Detection Approach Based on Asymmetric Convolutional Autoencoder Conference paper
Shujian Ji, Kejiang Ye, Cheng-Zhong Xu. A Network Intrusion Detection Approach Based on Asymmetric Convolutional Autoencoder[C], 2020, 126 - 140.
Authors:  Shujian Ji;  Kejiang Ye;  Cheng-Zhong Xu
Favorite | TC[Scopus]:7 | Submit date：2022/01/26
Deep Learning  Anomaly Detection  Asymmetric Convolutional Autoencoder  Random Forest  
Unsupervised Learning 3-D Local Feature from Raw Voxels based on A Novel Permutation Voxelization Strategy- Journal article
Han, Z. Z., Liu, Z. B., Han, J. W., Vong, C. M., Bu, S. H., Chen, C. L. P.. Unsupervised Learning 3-D Local Feature from Raw Voxels based on A Novel Permutation Voxelization Strategy-[J]. IEEE Transactions on Cybernetics (SCI-E) (Accepted for Publication), 2019, 2168-2267.
Authors:  Han, Z. Z.;  Liu, Z. B.;  Han, J. W.;  Vong, C. M.;  Bu, S. H.; et al.
Favorite |  | Submit date：2022/08/09
3-D local features  3-D voxelization  deep learning  stacked sparse autoencoder (SSAE)  unsupervised feature learning  
Unsupervised Learning 3D Local Feature from Raw Voxels based on A Novel Permutation Voxelization Strategy Journal article
Zhizhong Han, Zhenbao Liu, Junwei Han, Chi-Man Vong, Shuhui Bu, C. L. Philip Chen. Unsupervised Learning 3D Local Feature from Raw Voxels based on A Novel Permutation Voxelization Strategy[J]. IEEE TRANSACTIONS ON CYBERNETIC, 2019, 49(2), 481 - 494.
Authors:  Zhizhong Han;  Zhenbao Liu;  Junwei Han;  Chi-Man Vong;  Shuhui Bu; et al.
Favorite | TC[WOS]:31 TC[Scopus]:0  IF:9.4/10.3 | Submit date：2019/04/29
3-d Local Features  3-d Voxelization  Deep Learning  Stacked Sparse Autoencoder (Ssae)  Unsupervised Feature Learning  
Unsupervised Learning of 3-D Local Features From Raw Voxels Based on a Novel Permutation Voxelization Strategy Journal article
Han Z., Liu Z., Han J., Vong C.-M., Bu S., Chen C.L.P.. Unsupervised Learning of 3-D Local Features From Raw Voxels Based on a Novel Permutation Voxelization Strategy[J]. IEEE Transactions on Cybernetics, 2019, 49(2), 481-494.
Authors:  Han Z.;  Liu Z.;  Han J.;  Vong C.-M.;  Bu S.; et al.
Favorite | TC[WOS]:31 TC[Scopus]:31  IF:9.4/10.3 | Submit date：2019/02/11
3-d Local Features  3-d Voxelization  Deep Learning  Stacked Sparse Autoencoder (Ssae)  Unsupervised Feature Learning