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Fusion of sparse non-co-located measurements from multiple sources for geotechnical site investigation Journal article
Guan, Zheng, Wang, Yu, Phoon, Kok Kwang. Fusion of sparse non-co-located measurements from multiple sources for geotechnical site investigation[J]. Canadian Geotechnical Journal, 2024, 61(8), 1574-1592.
Authors:  Guan, Zheng;  Wang, Yu;  Phoon, Kok Kwang
Favorite | TC[WOS]:4 TC[Scopus]:3  IF:3.0/3.9 | Submit date：2024/09/03
Compressive Sampling  Data Fusion  Geotechnical Site Characterization  Joint Representation  Sparse Data  
AF-Net: An Active Fire Detection Model Using Improved Object-Contextual Representations on Unbalanced UAV Datasets Journal article
Hu, Xikun, Liu, Wenlin, Wen, Hao, Yuen, Ka Veng, Jin, Tian, Junior, Alberto Costa Nogueira, Zhong, Ping. AF-Net: An Active Fire Detection Model Using Improved Object-Contextual Representations on Unbalanced UAV Datasets[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024, 17, 13558-13569.
Authors:  Hu, Xikun;  Liu, Wenlin;  Wen, Hao;  Yuen, Ka Veng;  Jin, Tian; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.7/5.0 | Submit date：2024/07/04
Active Fire (Af) Detection  Deep Learning  Object-contextual Representation (Ocr)  Self-attention  Semantic Segmentation  Very High-resolution (Vhr) Aerial Data  
PFed-DBA: Distribution Bias Aware Personalized Federated Learning for Data Heterogeneity Conference paper
Meihan Wu, Li Li, Tao Chang, Jie Zhou, Cui Miao, Xiaodong Wang, ChengZhong Xu, Rigall, Eric. PFed-DBA: Distribution Bias Aware Personalized Federated Learning for Data Heterogeneity[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 202971.
Authors:  Meihan Wu;  Li Li;  Tao Chang;  Jie Zhou;  Cui Miao; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/08/29
Contrastive Learning  Data Heterogeneity  Ersonalized Federated Learning  Representation Learning  
Informative Nodes Mining for Class-Imbalanced Representation Learning Journal article
Zhou, Mengting, Gong, Zhiguo. Informative Nodes Mining for Class-Imbalanced Representation Learning[J]. IEEE Transactions on Computational Social Systems, 2024.
Authors:  Zhou, Mengting;  Gong, Zhiguo
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.5/4.6 | Submit date：2024/05/16
Class Imbalanced Learning  Costs  Graph Neural Network (Gnn)  Graph Neural Networks  Node Classification  Representation Learning  Social Networking (Online)  Task Analysis  Training  Training Data  
Vehicle Trajectory Completion for Automatic Number Plate Recognition Data: A Temporal Knowledge Graph-Based Method Journal article
Long, Zhe, Chen, Jinjin, Zhang, Zuping. Vehicle Trajectory Completion for Automatic Number Plate Recognition Data: A Temporal Knowledge Graph-Based Method[J]. International Journal of Pattern Recognition and Artificial Intelligence, 2023, 37(13), 2350029.
Authors:  Long, Zhe;  Chen, Jinjin;  Zhang, Zuping
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:0.9/1.0 | Submit date：2024/01/10
Automatic Number Plate Recognition (Anpr) Data  Knowledge Representation Learning  Link Prediction  Temporal Knowledge Graph  Vehicle Trajectory Completion  
Data Representation by Joint Hypergraph Embedding and Sparse Coding (Extended Abstract) Conference paper
Guo Zhong, Chi-Man Pun. Data Representation by Joint Hypergraph Embedding and Sparse Coding (Extended Abstract)[C]:IEEE Computer Society, 2023, 3781 - 3782.
Authors:  Guo Zhong;  Chi-Man Pun
Favorite | TC[Scopus]:0 | Submit date：2023/08/21
Data Clustering  Data Representation  Hypergraph Learning  Kernel Trick  Matrix Factorization  
Data Representation by Joint Hypergraph Embedding and Sparse Coding Journal article
Guo Zhong, Chi-Man Pun. Data Representation by Joint Hypergraph Embedding and Sparse Coding[J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2022, 34(5), 2106-2119.
Authors:  Guo Zhong;  Chi-Man Pun
Favorite | TC[WOS]:5 TC[Scopus]:7  IF:8.9/8.8 | Submit date：2022/05/13
Data Clustering  Data Representation  Hypergraph Learning  Kernel Trick  Matrix Factorization  
Broad and deep neural network for high-dimensional data representation learning Journal article
Feng, Qiying, Liu, Zhulin, Chen, C. L.Philip. Broad and deep neural network for high-dimensional data representation learning[J]. Information Sciences, 2022, 599, 127-146.
Authors:  Feng, Qiying;  Liu, Zhulin;  Chen, C. L.Philip
Favorite | TC[WOS]:15 TC[Scopus]:15  IF:0/0 | Submit date：2022/05/13
Broad And Deep Architecture  Broading Learning System  High-dimensional Data  Representation Learning  
Reversible Data Hiding in Encrypted Images using Chunk Encryption and Redundancy Matrix Representation Journal article
Liu, Zi Long, Pun, Chi Man. Reversible Data Hiding in Encrypted Images using Chunk Encryption and Redundancy Matrix Representation[J]. IEEE Transactions on Dependable and Secure Computing, 2022, 19(2), 1382-1394.
Authors:  Liu, Zi Long;  Pun, Chi Man
Favorite | TC[WOS]:35 TC[Scopus]:44  IF:7.0/6.8 | Submit date：2022/05/17
Reversible Data Hiding  Encrypted Image  Chunk Encryption  Redundancy Matrix Representation  
Joint Discriminative Latent Subspace Learning for Image Classification Journal article
Zhou, Jianhang, Zhang, Bob, Zeng, Shaoning, Lai, Qi. Joint Discriminative Latent Subspace Learning for Image Classification[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2022, 32(7), 4653-4666.
Authors:  Zhou, Jianhang;  Zhang, Bob;  Zeng, Shaoning;  Lai, Qi
Favorite | TC[WOS]:9 TC[Scopus]:10  IF:8.3/7.1 | Submit date：2022/05/13
Subspace Learning  Least Square Regression  Data Representation  Image Classification