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Generative Adversarial Autoencoder Network for Anti-Shadow Hyperspectral Unmixing Journal article
Sun, Bin, Su, Yuanchao, Sun, He, Bai, Jinying, Li, Pengfei, Liu, Feng, Liu, Dongsheng. Generative Adversarial Autoencoder Network for Anti-Shadow Hyperspectral Unmixing[J]. IEEE Geoscience and Remote Sensing Letters, 2024, 21, 5506005.
Authors:  Sun, Bin;  Su, Yuanchao;  Sun, He;  Bai, Jinying;  Li, Pengfei; et al.
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:4.0/4.4 | Submit date：2024/07/04
Anti-shadow Unmixing  Deep Learning  Generative Adversarial Network (Gan)  Hyperspectral Unmixing  
Deep Reverse Attack on SIFT Features With a Coarse-to-Fine GAN Model Journal article
Li, Xin, Zhu, Guopu, Wang, Shen, Zhou, Yicong, Zhang, Xinpeng. Deep Reverse Attack on SIFT Features With a Coarse-to-Fine GAN Model[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2024, 34(7), 6391 - 6402.
Authors:  Li, Xin;  Zhu, Guopu;  Wang, Shen;  Zhou, Yicong;  Zhang, Xinpeng
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:8.3/7.1 | Submit date：2024/05/16
Circuits And Systems  Data Privacy  Feature Extraction  Generative Adversarial Network (Gan)  Generative Adversarial Networks  Generators  Image Color Analysis  Image Reconstruction  Image Restoration  Reverse Attack  Scale Invariant Feature Transform (Sift)  
FS-GAN: Fuzzy Self-guided structure retention generative adversarial network for medical image enhancement Journal article
Yu,Yu Feng, Zhong,Guojin, Zhou,Yi, Chen,Long. FS-GAN: Fuzzy Self-guided structure retention generative adversarial network for medical image enhancement[J]. Information Sciences, 2023, 642, 119114.
Authors:  Yu,Yu Feng;  Zhong,Guojin;  Zhou,Yi;  Chen,Long
Favorite | TC[WOS]:8 TC[Scopus]:14  IF:0/0 | Submit date：2023/08/03
Fuzzy Discriminator  Generative Adversarial Network (Gan)  Self-guided Structure Retention Module (Ssrm)  
Wasserstein Adversarial Learning for Identification of Power Quality Disturbances with Incomplete Data Journal article
Feng,Guangxu, Lao,Keng Weng. Wasserstein Adversarial Learning for Identification of Power Quality Disturbances with Incomplete Data[J]. IEEE Transactions on Industrial Informatics, 2023, 19(10), 10401 - 10411.
Authors:  Feng,Guangxu;  Lao,Keng Weng
Favorite | TC[WOS]:7 TC[Scopus]:7  IF:11.7/11.4 | Submit date：2023/08/03
Data Imputation  Generative Adversarial Network (Gan)  Power Quality Disturbances (Pqds)  Unsupervised Domain Adaptation  Wasserstein Loss  
DHI-GAN: Improving Dental-Based Human Identification Using Generative Adversarial Networks Journal article
Lin, Yi, Fan, Fei, Zhang, Jianwei, Zhou, Jizhe, Liao, Peixi, Chen, Hu, Deng, Zhenhua, Zhang, Yi. DHI-GAN: Improving Dental-Based Human Identification Using Generative Adversarial Networks[J]. IEEE Transactions on Neural Networks and Learning Systems, 2022, 34(12), 9700-9712.
Authors:  Lin, Yi;  Fan, Fei;  Zhang, Jianwei;  Zhou, Jizhe;  Liao, Peixi; et al.
Favorite | TC[WOS]:1 TC[Scopus]:2  IF:10.2/10.4 | Submit date：2024/01/02
Spatial And Channel Fusion Attention  Dental-based Human Identification (Dhi)  Generative Adversarial Network (Gan)  Semisupervised Training  Small Sample  
ExS-GAN: Synthesizing Anti-Forensics Images via Extra Supervised GAN Journal article
Ding, Feng, Shen, Zhangyi, Zhu, Guopu, Kwong, Sam, Zhou, Yicong, Lyu, Siwei. ExS-GAN: Synthesizing Anti-Forensics Images via Extra Supervised GAN[J]. IEEE Transactions on Cybernetics, 2022, 53(11), 7162 - 7173.
Authors:  Ding, Feng;  Shen, Zhangyi;  Zhu, Guopu;  Kwong, Sam;  Zhou, Yicong; et al.
Favorite | TC[WOS]:15 TC[Scopus]:18  IF:9.4/10.3 | Submit date：2023/01/30
Anti-forensics  Digital Forensics  Digital Forensics  Forensics  Generative Adversarial Network (Gan)  Generative Adversarial Networks  Generators  Image Forensics  Machine Learning  Training  Transform Coding