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Federated Learning-Empowered AI-Generated Content in Wireless Networks Journal article
Huang Xumin, Li Peichun, Du Hongyang, Kang Jiawen, Niyato Dusit, Kim Dong In, Wu Yuan. Federated Learning-Empowered AI-Generated Content in Wireless Networks[J]. IEEE Network, 2024, 38(5), 304-313.
Authors:  Huang Xumin;  Li Peichun;  Du Hongyang;  Kang Jiawen;  Niyato Dusit; et al.
Favorite | TC[WOS]:16 TC[Scopus]:30  IF:6.8/8.5 | Submit date：2024/05/16
Adaptation Models  Aigc  Computational Modeling  Data Models  Deep Learning  Federated Learning  Generative Adversarial Networks  Stable Diffusion  Task Analysis  Training  Transformers  Wireless Networks  
Transformer-Based Image Inpainting Detection via Label Decoupling and Constrained Adversarial Training Journal article
Yuanman Li, Liangpei Hu, Li Dong, Haiwei Wu, Jinyu Tian, Jiantao Zhou, Xia Li. Transformer-Based Image Inpainting Detection via Label Decoupling and Constrained Adversarial Training[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 34(3), 1857-1872.
Authors:  Yuanman Li;  Liangpei Hu;  Li Dong;  Haiwei Wu;  Jinyu Tian; et al.
Favorite | TC[WOS]:6 TC[Scopus]:4  IF:8.3/7.1 | Submit date：2023/08/28
Inpainting Forensics  Constrained Adversarial Training  Generalizability  Deep Neural Networks  
Anti-rounding Image Steganography with Separable Fine-tuned Network Journal article
Yin,Xiaolin, Wu,Shaowu, Wang,Ke, Lu,Wei, Zhou,Yicong, Huang,Jiwu. Anti-rounding Image Steganography with Separable Fine-tuned Network[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2023, 33(11), 7066-7079.
Authors:  Yin,Xiaolin;  Wu,Shaowu;  Wang,Ke;  Lu,Wei;  Zhou,Yicong; et al.
Favorite | TC[WOS]:4 TC[Scopus]:5  IF:8.3/7.1 | Submit date：2023/08/03
Anti-rounding  Data Mining  Decoding  Feature Extraction  Generative Adversarial Networks  Generators  Image Steganography  Precision Loss  Separable Fine-tuned Network  Steganography  Training  
Self-Training Enhanced: Network Embedding and Overlapping Community Detection With Adversarial Learning Journal article
Chen, Junyang, Gong, Zhiguo, Mo, Jiqian, Wang, Wei, Wang, Wei, Wang, Cong, Dong, Xiao, Liu, Weiwen, Wu, Kaishun. Self-Training Enhanced: Network Embedding and Overlapping Community Detection With Adversarial Learning[J]. IEEE Transactions on Neural Networks and Learning Systems, 2022, 33(11), 6737-6748.
Authors:  Chen, Junyang;  Gong, Zhiguo;  Mo, Jiqian;  Wang, Wei;  Wang, Wei; et al.
Favorite | TC[WOS]:17 TC[Scopus]:18  IF:10.2/10.4 | Submit date：2022/12/01
Adversarial Learning  Network Embedding (Ne)  Overlapping Community Detection  Self-training  
Attentive recurrent adversarial domain adaptation with Top-k pseudo-labeling for time series classification Journal article
Qi-Qiao He, Shirley Weng In Siu, Yain-Whar Si. Attentive recurrent adversarial domain adaptation with Top-k pseudo-labeling for time series classification[J]. APPLIED INTELLIGENCE, 2022, 53(11), 13110-13129.
Authors:  Qi-Qiao He;  Shirley Weng In Siu;  Yain-Whar Si
Favorite | TC[WOS]:4 TC[Scopus]:3  IF:3.4/3.9 | Submit date：2022/12/28
Domain Adaptation  Adversarial Training  Time Series Classification  Attentive  Pseudo-labeling  
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]:17  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