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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  
Improved self-supervised learning for disease identification in chest X-ray images Journal article
Ma, Yongjun, Dong, Shi, Jiang, Yuchao. Improved self-supervised learning for disease identification in chest X-ray images[J]. Journal of Electronic Imaging, 2024, 33(4), 043006.
Authors:  Ma, Yongjun;  Dong, Shi;  Jiang, Yuchao
Favorite | TC[Scopus]:0  IF:1.0/0.9 | Submit date：2024/10/10
Disease Identification  Self-supervised  X-ray Image  
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  
Sparse Enhanced Network: An Adversarial Generation Method for Robust Augmentation in Sequential Recommendation Conference paper
Chen, Junyang, Zou, Guoxuan, Zhou, Pan, Yirui, Wu, Chen, Zhenghan, Su, Houcheng, Wang, Huan, Gong, Zhiguo. Sparse Enhanced Network: An Adversarial Generation Method for Robust Augmentation in Sequential Recommendation[C], 2024, 8283-8291.
Authors:  Chen, Junyang;  Zou, Guoxuan;  Zhou, Pan;  Yirui, Wu;  Chen, Zhenghan; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1 | Submit date：2024/05/16
Dmkm: Graph Mining, Social Network Analysis & Community  Dmkm: Anomaly/outlier Detection  Dmkm: Recommender Systems  Ml: Deep Learning Algorithms  Ml: Deep Learning Theory  Ml: Graph-based Machine Learning  Ml: Semi-supervised Learning  Ml: Transparent, Interpretable, Explainable Ml  Ml: Unsupervised & Self-supervised Learning  
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  
Level set guided region prototype rectification network for retinal vessel segmentation Journal article
Liu, Yifei, Wu, Qingtian, Liu, Xueyu, Lu, Junyu, Xu, Zhenhuan, Wu, Yongfei, Feng, Shu. Level set guided region prototype rectification network for retinal vessel segmentation[J]. Biomedical Signal Processing and Control, 2024, 87, 105428.
Authors:  Liu, Yifei;  Wu, Qingtian;  Liu, Xueyu;  Lu, Junyu;  Xu, Zhenhuan; et al.
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:4.9/4.9 | Submit date：2024/02/22
Level-set  Region Prototype Rectification  Retinal Vessel Segmentation  Self-Supervised And Supervised Loss  
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