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CGraphNet: Contrastive Graph Context Prediction for Sparse Unlabeled Short Text Representation Learning on Social Media Journal article
Chen, Junyang, Guo, Jingcai, Li, Xueliang, Wang, Huan, Xu, Zhenghua, Gong, Zhiguo, Zhang, Liangjie, Leung, Victor C.M.. CGraphNet: Contrastive Graph Context Prediction for Sparse Unlabeled Short Text Representation Learning on Social Media[J]. IEEE Transactions on Computational Social Systems, 2024.
Authors:  Chen, Junyang;  Guo, Jingcai;  Li, Xueliang;  Wang, Huan;  Xu, Zhenghua; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.5/4.6 | Submit date：2024/11/05
Contrastive Graph Context Prediction  Sequential Learning  Social Media Short Text Representation Learning  Sparsity Problem  Text Mining  
Self-supervised Gaussian Restricted Boltzmann Machine via joint contrastive representation and contrastive divergence Journal article
Wang, Xinlei, Chu, Jielei, Yu, Hua, Gong, Zhiguo, Li, Tianrui. Self-supervised Gaussian Restricted Boltzmann Machine via joint contrastive representation and contrastive divergence[J]. Knowledge-Based Systems, 2024, 299, 112121.
Authors:  Wang, Xinlei;  Chu, Jielei;  Yu, Hua;  Gong, Zhiguo;  Li, Tianrui
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:7.2/7.4 | Submit date：2024/07/04
Clustering  Contrastive Divergence  Contrastive Representation Learning  Representation Probability Distribution  
Point Cloud Compression with Implicit Neural Representations: A Unified Framework Conference paper
Ruan, Hongning, Shao, Yulin, Yang, Qianqian, Zhao, Liang, Niyato, Dusit. Point Cloud Compression with Implicit Neural Representations: A Unified Framework[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 1709-1714.
Authors:  Ruan, Hongning;  Shao, Yulin;  Yang, Qianqian;  Zhao, Liang;  Niyato, Dusit
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/11/05
Point Cloud Compression  Geometry  Learning Systems  Three-dimensional Displays  Quantization (Signal)  Neural Networks  Rate-distortion  Point Cloud Compression  Implicit Neural Representation  Neural Network Compression  
Hi-SCL: Fighting long-tailed challenges in trajectory prediction with hierarchical wave-semantic contrastive learning Journal article
Lan, Zhengxing, Ren, Yilong, Yu, Haiyang, Liu, Lingshan, Li, Zhenning, Wang, Yinhai, Cui, Zhiyong. Hi-SCL: Fighting long-tailed challenges in trajectory prediction with hierarchical wave-semantic contrastive learning[J]. Transportation Research Part C: Emerging Technologies, 2024, 165, 104735.
Authors:  Lan, Zhengxing;  Ren, Yilong;  Yu, Haiyang;  Liu, Lingshan;  Li, Zhenning; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:7.6/9.6 | Submit date：2024/08/05
Contrastive Learning  Long-tailed Challenge  Trajectory Prediction  Wave Representation  
Novel UGA Homologous URL Recognition in Real-World Financial Cybercrimes: Self-supervised Deep Learning of URL Semantics Conference paper
Shao, Guolin, Xu, Zeshui, He, Xiaoxi, Rao, Hong, Huang, Wei, Duan, Wenying. Novel UGA Homologous URL Recognition in Real-World Financial Cybercrimes: Self-supervised Deep Learning of URL Semantics[C]:Springer Science and Business Media Deutschland GmbH, 2024, 300 - 312.
Authors:  Shao, Guolin;  Xu, Zeshui;  He, Xiaoxi;  Rao, Hong;  Huang, Wei; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/09/11
Financial Cybercrime  Homologous Url Recognition  Self-supervised Learning  Siamese Network  Url Representation Learning  
A Deep High-Order Tensor Sparse Representation for Hyperspectral Image Classification Journal article
Cheng, Chunbo, Zhang, Liming, Li, Hong, Cui, Wenjing, Gao, Junbin, Cun, Yuxiao. A Deep High-Order Tensor Sparse Representation for Hyperspectral Image Classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62, 5521416.
Authors:  Cheng, Chunbo;  Zhang, Liming;  Li, Hong;  Cui, Wenjing;  Gao, Junbin; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:7.5/7.6 | Submit date：2024/08/05
Convolutional Neural Network (Cnn)  Deep High-order Tensor Sparse Representation (Sr)  Deep Learning  Graph-based Learning (Gsl)  Hyperspectral Image (Hsi) Classification  
MORE’24 Multimedia Object Re-ID: Advancements, Challenges, and Opportunities Conference paper
Zheng, Zhedong, Wang, Yaxiong, Qian, Xuelin, Zhong, Zhun, Wang, Zheng, Zheng, Liang. MORE’24 Multimedia Object Re-ID: Advancements, Challenges, and Opportunities[C]:ASSOC COMPUTING MACHINERY1601 Broadway, 10th Floor, NEW YORK, NY, UNITED STATES, 2024, 1336-1338.
Authors:  Zheng, Zhedong;  Wang, Yaxiong;  Qian, Xuelin;  Zhong, Zhun;  Wang, Zheng; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/08/05
Deep Metric Learning  Multi-view Generation  Multimedia Retrieval  Object Re-identification  Representation Learning  
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  
SCDet: decoupling discriminative representation for dark object detection via supervised contrastive learning Journal article
Lin, Tongxu, Huang, Guoheng, Yuan, Xiaochen, Zhong, Guo, Huang, Xiaocong, Pun, Chi Man. SCDet: decoupling discriminative representation for dark object detection via supervised contrastive learning[J]. Visual Computer, 2024, 40(5), 3357-3369.
Authors:  Lin, Tongxu;  Huang, Guoheng;  Yuan, Xiaochen;  Zhong, Guo;  Huang, Xiaocong; et al.
Favorite | TC[WOS]:2 TC[Scopus]:1  IF:3.0/3.0 | Submit date：2024/02/23
Low-light Environment  Dark Object Detection  Supervised Contrastive Learning  Representation Decoupling  
Tensorized Multi-View Low-Rank Approximation Based Robust Hand-Print Recognition Journal article
Zhao, Shuping, Fei, Lunke, Zhang, Bob, Wen, Jie, Zhao, Pengyang. Tensorized Multi-View Low-Rank Approximation Based Robust Hand-Print Recognition[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2024, 33, 3328-3340.
Authors:  Zhao, Shuping;  Fei, Lunke;  Zhang, Bob;  Wen, Jie;  Zhao, Pengyang
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:10.8/12.1 | Submit date：2024/06/05
Consensus Representation  Low-rank Tensor Sub-space Learning  Multi-view Learning  Robust Hand-print Recognition