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HNS: Hierarchical negative sampling for network representation learning Journal article
Information Sciences, 2021,Volume: 542,Page: 343-356
Authors:  Chen,Junyang;  Gong,Zhiguo;  Wang,Wei;  Liu,Weiwen
Favorite | View/Download:152/0 | TC[WOS]:0 TC[Scopus]:0 | Submit date:2020/12/04
Hierarchical negative sampling  Network embeddings  Network representation learning  
Trust-Enhanced Collaborative Filtering for Personalized Point of Interests Recommendation Journal article
IEEE Transactions on Industrial Informatics, 2020,Volume: 16,Issue: 9,Page: 6124-6132
Authors:  Wang,Wei;  Chen,Junyang;  Wang,Jinzhong;  Chen,Junxin;  Liu,Jinquan;  Gong,Zhiguo
Favorite | View/Download:71/0 | TC[WOS]:40 TC[Scopus]:13 | Submit date:2020/12/04
Location-based social network  point of interests (POIs)  social Internet of Things  trust  
Vehicular ad hoc network representation learning for recommendations in internet of things Journal article
IEEE Transactions on Industrial Informatics, 2020,Volume: 16,Issue: 4,Page: 2583-2591
Authors:  Hu,He Xuan;  Tang,Bo;  Zhang,Ye;  Wang,Wei
Favorite | View/Download:73/0 | TC[WOS]:0 TC[Scopus]:0 | Submit date:2020/12/04
Internet of Things (IoT)  network representation learning  trajectory data mining  vehicular ad hoc network  
Collaborative Filtering with Network Representation Learning for Citation Recommendation Journal article
IEEE Transactions on Big Data, 2020
Authors:  Wang,Wei;  Tang,Tao;  Xia,Feng;  Gong,Zhiguo;  Chen,Zhikui;  Liu,Huan
Favorite | View/Download:75/0 | TC[WOS]:0 TC[Scopus]:0 | Submit date:2020/12/04
citation recommendation  collaborative filtering  Network Representation Learning  scholarly big data  
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
Multi-View CNN Feature Aggregation with ELM Auto-Encoder for 3D Shape Recognition Journal article
COGNITIVE COMPUTATION, 2018,Volume: 10,Issue: 6,Page: 908-921
Authors:  Yang, Zhi-Xin;  Tang, Lulu;  Zhang, Kun;  Wong, Pak Kin
Favorite | View/Download:36/0 | TC[WOS]:9 TC[Scopus]:10 | Submit date:2019/01/17
Elm Auto-encoder  Convolutional Neural Networks  3d Shape Recognition  Multi-view Feature Aggregation  
Deep Spatiality: Unsupervised Learning of Spatially-Enhanced Global and Local 3D Features by Deep Neural Network with Coupled Softmax Journal article
IEEE Transactions on Image Processing, 2018,Volume: 27,Issue: 6,Page: 3049-3063
Authors:  Han Z.;  Liu Z.;  Vong C.-M.;  Liu Y.-S.;  Bu S.;  Han J.;  Chen C.L.P.
Favorite | View/Download:17/0 | TC[WOS]:18 TC[Scopus]:21 | Submit date:2019/02/11
Coupled Softmax  Deep Spatial  Directed Circular Graph  Spatially-enhanced 3d Features  
Hyperspectral imagery classification based on semi-supervised broad learning system Journal article
Remote Sensing, 2018,Volume: 10,Issue: 5
Authors:  Kong Y.;  Wang X.;  Cheng Y.;  Chen C.L.P.
Favorite | View/Download:11/0 | TC[WOS]:23 TC[Scopus]:28 | Submit date:2019/02/11
Broad learning  Class-probability structure  Classification  Hyperspectral imagery  Semi-supervised  
Hyperspectral Imagery Classification Based on Semi-Supervised Broad Learning System Journal article
REMOTE SENSING, 2018,Volume: 10,Issue: 5
Authors:  Kong, Yi;  Wang, Xuesong;  Cheng, Yuhu;  Chen, C. L. Philip
Favorite | View/Download:25/0 | TC[WOS]:23 TC[Scopus]:28 | Submit date:2018/10/30
hyperspectral imagery  classification  broad learning  semi-supervised  class-probability structure  
Supervised Feature Learning via Within-Class Reconstruction Conference paper
Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
Authors:  Shao Y.;  Zhou J.;  Gao G.
Favorite | View/Download:10/0 | TC[WOS]:0 TC[Scopus]:0 | Submit date:2018/12/22
Auto-encoders  Feature learning  Neural network  Within-class reconstruction