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Model-Free Self-Supervised Learning for Dispatching Distributed Energy Resources Journal article
Ge Chen, Junjie Qin, Hongcai Zhang. Model-Free Self-Supervised Learning for Dispatching Distributed Energy Resources[J]. IEEE Transactions on Smart Grid, 2024.
Authors:  Ge Chen;  Junjie Qin;  Hongcai Zhang
Favorite | TC[Scopus]:0  IF:8.6/9.6 | Submit date：2024/10/17
Distributed Energy Resources  Model-free  Self-supervised Learning  Distribution Networks  Power Dispatch  
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 self-supervised network for image denoising and watermark removal Journal article
Tian, Chunwei, Xiao, Jingyu, Zhang, Bob, Zuo, Wangmeng, Zhang, Yudong, Lin, Chia Wen. A self-supervised network for image denoising and watermark removal[J]. Neural Networks, 2024, 174, 106218.
Authors:  Tian, Chunwei;  Xiao, Jingyu;  Zhang, Bob;  Zuo, Wangmeng;  Zhang, Yudong; et al.
Favorite | TC[WOS]:1 TC[Scopus]:2  IF:6.0/7.9 | Submit date：2024/05/16
Attention Mechanism  Image Denoising  Image Watermark Removal  Self-supervised Learning  
Few-Shot Object Detection With Self-Supervising and Cooperative Classifier Journal article
Qi,Di, Hu,Jilin, Shen,Jianbing. Few-Shot Object Detection With Self-Supervising and Cooperative Classifier[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 35(4), 5435-5446.
Authors:  Qi,Di;  Hu,Jilin;  Shen,Jianbing
Favorite | TC[WOS]:2 TC[Scopus]:0  IF:10.2/10.4 | Submit date：2023/08/03
Cooperative Classifier (Cc)  Few-shot Object Detection (Fsod)  Self-supervised Learning (Ssl)  
Multi-Scale Masked Autoencoders for Cross-Session Emotion Recognition Journal article
Pang, Miaoqi, Wang, Hongtao, Huang, Jiayang, Vong, Chi Man, Zeng, Zhiqiang, Chen, Chuangquan. Multi-Scale Masked Autoencoders for Cross-Session Emotion Recognition[J]. IEEE Transactions on Neural Systems and Rehabilitation EngineeringAIEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2024, 32, 1637-1646.
Authors:  Pang, Miaoqi;  Wang, Hongtao;  Huang, Jiayang;  Vong, Chi Man;  Zeng, Zhiqiang; et al.
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:4.8/5.4 | Submit date：2024/05/16
Cross-session  Eeg-based Emotion Recognition  Self-supervised Learning  Transformer  
MaskCAE: Masked Convolutional AutoEncoder via Sensor Data Reconstruction for Self-Supervised Human Activity Recognition Journal article
Cheng, Dongzhou, Zhang, Lei, Qin, Lutong, Wang, Shuoyuan, Wu, Hao, Song, Aiguo. MaskCAE: Masked Convolutional AutoEncoder via Sensor Data Reconstruction for Self-Supervised Human Activity Recognition[J]. IEEE Journal of Biomedical and Health Informatics, 2024, 28(5), 2687-2698.
Authors:  Cheng, Dongzhou;  Zhang, Lei;  Qin, Lutong;  Wang, Shuoyuan;  Wu, Hao; et al.
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:6.7/7.1 | Submit date：2024/05/16
Convolution  Convolutional Autoencoder  Data Models  Decoding  Feature Extraction  Human Activity Recognition  Human Activity Recognition  Masked Reconstruction  Self-supervised Learning  Self-supervised Learning  Sensor  Task Analysis  
Reformulating Graph Kernels for Self-Supervised Space-Time Correspondence Learning Journal article
Qin, Zheyun, Lu, Xiankai, Liu, Dongfang, Nie, Xiushan, Yin, Yilong, Shen, Jianbing, Loui, Alexander C.. Reformulating Graph Kernels for Self-Supervised Space-Time Correspondence Learning[J]. IEEE Transactions on Image Processing, 2023, 32, 6543-6557.
Authors:  Qin, Zheyun;  Lu, Xiankai;  Liu, Dongfang;  Nie, Xiushan;  Yin, Yilong; et al.
Favorite | TC[WOS]:6 TC[Scopus]:13  IF:10.8/12.1 | Submit date：2024/02/22
Contrastive Learning  Correspondence Learning  Graph Kernels  Label Propagation  Self-supervised Learning  
S3Net: Self-Supervised Self-Ensembling Network for Semi-Supervised RGB-D Salient Object Detection Journal article
Zhu, Lei, Wang, Xiaoqiang, Li, Ping, Yang, Xin, Zhang, Qing, Wang, Weiming, Schonlieb, Carola Bibiane, Chen, C. L.Philip. S3Net: Self-Supervised Self-Ensembling Network for Semi-Supervised RGB-D Salient Object Detection[J]. IEEE Transactions on Multimedia, 2023, 25, 676 - 689.
Authors:  Zhu, Lei;  Wang, Xiaoqiang;  Li, Ping;  Yang, Xin;  Zhang, Qing; et al.
Favorite | TC[WOS]:4 TC[Scopus]:4  IF:8.4/8.0 | Submit date：2022/05/13
Rgb-d Salient Object Detection  Self-supervised Learning  Semi-supervised Learning  And Cross-model And Cross-level Feature Aggregation  
Self-Supervised Learning With Prediction of Image Scale and Spectral Order for Hyperspectral Image Classification Journal article
Xiaofei Yang, Weijia Cao, Yao Lu, Yicong Zhou. Self-Supervised Learning With Prediction of Image Scale and Spectral Order for Hyperspectral Image Classification[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60, 5545715.
Authors:  Xiaofei Yang;  Weijia Cao;  Yao Lu;  Yicong Zhou
Favorite | TC[WOS]:6 TC[Scopus]:9  IF:7.5/7.6 | Submit date：2023/09/13
Hyperspectral Image (Hsi) Classification  Limited Labeled Samples  Self-supervised Learning (Ssl)  Unsupervised Learning  
Improving Semantic Analysis on Point Clouds via Auxiliary Supervision of Local Geometric Priors Journal article
Tang, Lulu, Chen, Ke, Wu, Chaozheng, Hong, Yu, Jia, Kui, Yang, Zhi Xin. Improving Semantic Analysis on Point Clouds via Auxiliary Supervision of Local Geometric Priors[J]. IEEE Transactions on Cybernetics, 2022, 52(6), 4949-4959.
Authors:  Tang, Lulu;  Chen, Ke;  Wu, Chaozheng;  Hong, Yu;  Jia, Kui; et al.
Favorite | TC[WOS]:9 TC[Scopus]:11  IF:9.4/10.3 | Submit date：2022/08/02
Geometric Properties  Point Clouds  Privileged Learning  Self-supervised Learning  Semantic Analysis