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| An integrated computational methodology with data-driven machine learning, molecular modeling and PBPK modeling to accelerate solid dispersion formulation design Journal article
European Journal of Pharmaceutics and Biopharmaceutics, 2021,Volume: 158,Page: 336-346
Authors: Gao，Hanlu; Wang，Wei; Dong，Jie; Ye，Zhuyifan; Ouyang，Defang
  Favorite | View/Download：0/0 | TC[WOS]:0 TC[Scopus]:0 | Submit date：2021/03/02
Dissolution profile Machine learning molecular dynamics (MD) simulations Pharmacokinetic modeling Solid dispersion |
| Mining Prognosis Index of Brain Metastases Using Artificial Intelligence Journal article
CANCERS, 2019,Volume: 11,Issue: 8
Authors: Shigao Huang; Jie Yang; Simon Fong; Qi Zhao
Favorite | View/Download：49/0 | TC[WOS]:5 TC[Scopus]:9 | Submit date：2020/05/12
Brain Metastases Radiosurgery Prognosis Index Artificial Intelligence |
| Joint sparse matrix regression and nonnegative spectral analysis for two-dimensional unsupervised feature selection Journal article
Pattern Recognition, 2019,Volume: 89,Page: 119-133
Authors: Yuan H.; Li J.; Lai L.L.; Tang Y.Y.
Favorite | View/Download：33/0 | TC[WOS]:7 TC[Scopus]:10 | Submit date：2019/02/11
Nonnegative spectral analysis Sparse matrix regression Two-dimensional feature selection Unsupervised learning |
| Canonical Correlation Analysis Regularization: An Effective Deep Multi-View Learning Baseline for RGB-D Object Recognition Journal article
IEEE Transactions on Cognitive and Developmental Systems, 2019,Volume: 11,Issue: 1,Page: 107 - 118
Authors: Lulu Tang; Zhi-Xin Yang; Kui Jia
Favorite | View/Download：44/0 | TC[WOS]:5 TC[Scopus]:9 | Submit date：2019/04/04 |
| Tourism demand forecasting: A deep learning approach Journal article
Annals of Tourism Research, 2019,Volume: 75,Page: 410-423
Authors: Law,Rob; Li,Gang; Fong,Davis Ka Chio; Han,Xin
Favorite | View/Download：24/0 | TC[WOS]:45 TC[Scopus]:59 | Submit date：2019/08/01
Attention Mechanism Deep Learning Feature Engineering Lag Order Long-short-term-memory Tourism Demand Forecasting |
| An Integrated Transfer Learning and Multitask Learning Approach for Pharmacokinetic Parameter Prediction Journal article
Molecular Pharmaceutics, 2019,Volume: 16,Issue: 2,Page: 533-541
Authors: Ye Z.; Yang Y.; Li X.; Cao D.; Ouyang D.
Favorite | View/Download：28/0 | TC[WOS]:7 TC[Scopus]:15 | Submit date：2019/02/14
Adme Deep Learning Multitask Learning Pharmacokinetic Parameters Transfer Learning |
| Unsupervised Learning of 3-D Local Features From Raw Voxels Based on a Novel Permutation Voxelization Strategy Journal article
IEEE Transactions on Cybernetics, 2019,Volume: 49,Issue: 2,Page: 481-494
Authors: Han Z.; Liu Z.; Han J.; Vong C.-M.; Bu S.; Chen C.L.P.
Favorite | View/Download：19/0 | TC[WOS]:0 TC[Scopus]:16 | Submit date：2019/02/11
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
IEEE TRANSACTIONS ON CYBERNETIC, 2019,Volume: 49,Issue: 2,Page: 481 - 494
Authors: Zhizhong Han; Zhenbao Liu; Junwei Han; Chi-Man Vong; Shuhui Bu; C. L. Philip Chen
Favorite | View/Download：26/0 | TC[WOS]:14 TC[Scopus]:0 | Submit date：2019/04/29
3-d Local Features 3-d Voxelization Deep Learning Stacked Sparse Autoencoder (Ssae) Unsupervised Feature Learning |
| SeqViews2SeqLabels: Learning 3D global features via aggregating sequential views by RNN with attention Journal article
IEEE Transactions on Image Processing, 2019,Volume: 28,Issue: 2,Page: 658-672
Authors: Han Z.; Shang M.; Liu Z.; Vong C.-M.; Liu Y.-S.; Zwicker M.; Han J.; Chen C.L.P.
Favorite | View/Download：43/0 | TC[WOS]:36 TC[Scopus]:50 | Submit date：2019/02/14
3d Feature Learning Attention Rnn Sequential Labels Sequential Views View Aggregation |
| Siamese Dense Neural Network for Software Defect Prediction with Small Data Journal article
IEEE Access, 2019,Volume: 7,Page: 7663-7677
Authors: Zhao L.; Shang Z.; Zhao L.; Qin A.; Tang Y.Y.
Favorite | View/Download：29/0 | TC[WOS]:6 TC[Scopus]:11 | Submit date：2019/02/11
deep learning few-shot learning metric learning Siamese dense neural networks software defect prediction |
