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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  
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  
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  
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  
RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training Journal article
Ziyue Qiao, Yanjie Fu, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Denghui Zhang, Yi Du, Yuanchun Zhou. RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training[J]. IEEE Transactions on Big Data, 2022, 9(1), 186-199.
Authors:  Ziyue Qiao;  Yanjie Fu;  Pengyang Wang;  Meng Xiao;  Zhiyuan Ning; et al.
Favorite | TC[WOS]:7 TC[Scopus]:9  IF:7.5/5.8 | Submit date：2022/05/17
Pre-training  Contrastive Learning  Transformer  Graph Representation Learning