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Denoising Noisy Neural Networks: A Bayesian Approach with Compensation Journal article
Shao,Yulin, Liew,Soung Chang, Gunduz,Deniz. Denoising Noisy Neural Networks: A Bayesian Approach with Compensation[J]. IEEE Transactions on Signal Processing, 2023, 71, 2460 - 2474.
Authors:  Shao,Yulin;  Liew,Soung Chang;  Gunduz,Deniz
Favorite | TC[WOS]:2 TC[Scopus]:4  IF:4.6/5.2 | Submit date：2023/08/03
Denoiser  Estimation  Federated Edge Learning  Maximum Likelihood Estimation  Neural Networks  Noise Measurement  Noise Reduction  Noisy Neural Network  Training  Wireless Communication  Wireless Transmission Of Neural Networks  
Self-Weighted Quasi-Maximum Likelihood Estimators for a Class of MA-GARCH Model Journal article
Xie, Danni, Liang, Xin, Liang, Ruilin. Self-Weighted Quasi-Maximum Likelihood Estimators for a Class of MA-GARCH Model[J]. Symmetry, 2022, 14(8), 1723.
Authors:  Xie, Danni;  Liang, Xin;  Liang, Ruilin
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:2.2/2.3 | Submit date：2023/01/30
a Class Of Ma-garch Model  Asymptotic Normatity  The Consistency  The Self-weighted Quasi-maximum Likelihood Estimation  
Forensic Analysis of JPEG-Domain Enhanced Images via Coefficient Likelihood Modeling Journal article
Yang, Jianquan, Zhu, Guopu, Luo, Yao, Kwong, Sam, Zhang, Xinpeng, Zhou, Yicong. Forensic Analysis of JPEG-Domain Enhanced Images via Coefficient Likelihood Modeling[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2021, 32(3), 1006-1019.
Authors:  Yang, Jianquan;  Zhu, Guopu;  Luo, Yao;  Kwong, Sam;  Zhang, Xinpeng; et al.
Favorite | TC[WOS]:6 TC[Scopus]:7  IF:8.3/7.1 | Submit date：2022/03/28
Coefficient Periodicity Analysis  Image Forensics  Jpeg-domain Enhancement  Maximum Likelihood Estimation  Quantization Step Estimation  
Generalized inflated discrete models: A strategy to work with multimodal discrete distributions Journal article
Cai, T., Xia, Y., Zhou, Y.. Generalized inflated discrete models: A strategy to work with multimodal discrete distributions[J]. Sociological Methods and Research, 2021, 365-400.
Authors:  Cai, T.;  Xia, Y.;  Zhou, Y.
Favorite | TC[WOS]:11 TC[Scopus]:13  IF:6.5/6.0 | Submit date：2022/06/22
Discrete Variable  Data Inflation  Data Heaping  Maximum Likelihood Estimation  
Maximum Likelihood Estimation-Based Joint Sparse Representation for the Classification of Hyperspectral Remote Sensing Images Journal article
Peng, Jiangtao, Li, Luoqing, Tang, Yuan Yan. Maximum Likelihood Estimation-Based Joint Sparse Representation for the Classification of Hyperspectral Remote Sensing Images[J]. IEEE Transactions on Neural Networks and Learning Systems, 2019, 30(6), 1790-1802.
Authors:  Peng, Jiangtao;  Li, Luoqing;  Tang, Yuan Yan
Favorite | TC[WOS]:144 TC[Scopus]:155  IF:10.2/10.4 | Submit date：2022/05/17
Classification  Hyperspectral Image (Hsi)  Inhomogeneous Pixels  Joint Sparse Representation (Jsr)  Maximum Likelihood Estimation (Mle)