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Adversarial Information Bottleneck 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 10
作者:  Zhai, Penglong;  Zhang, Shihua
收藏  |  浏览/下载：56/0  |  提交时间：2023/02/07
Robustness  Optimization  Mutual information  Deep learning  Perturbation methods  Training  Task analysis  Adversarial robustness  deep learning  hyperparameter selection  information bottleneck (IB)  
Deciphering spatial domains from spatially resolved transcriptomics with an adaptive graph attention auto-encoder 期刊论文
NATURE COMMUNICATIONS, 2022, 卷号: 13, 期号: 1, 页码: 12
作者:  Dong, Kangning;  Zhang, Shihua
收藏  |  浏览/下载：104/0  |  提交时间：2022/06/21
Approximate distance correlation for selecting highly interrelated genes across datasets 期刊论文
PLOS COMPUTATIONAL BIOLOGY, 2021, 卷号: 17, 期号: 11, 页码: 18
作者:  Shen, Qunlun;  Zhang, Shihua
收藏  |  浏览/下载：118/0  |  提交时间：2022/04/02
Robust Bayesian matrix decomposition with mixture of Gaussian noise 期刊论文
NEUROCOMPUTING, 2021, 卷号: 449, 页码: 108-116
作者:  Wang, Haohui;  Zhang, Chihao;  Zhang, Shihua
收藏  |  浏览/下载：147/0  |  提交时间：2021/10/26
Bayesian method  Matrix decomposition  Maximum a posterior  Mixture of Gaussians  
Towards understanding residual and dilated dense neural networks via convolutional sparse coding 期刊论文
NATIONAL SCIENCE REVIEW, 2021, 卷号: 8, 期号: 3, 页码: 13
作者:  Zhang, Zhiyang;  Zhang, Shihua
收藏  |  浏览/下载：150/0  |  提交时间：2021/10/26
convolutional neural network  convolutional sparse coding  residual neural network  mixed-scale dense neural network  dilated convolution  dense connection  
A Novel Sparse Graph-Regularized Singular Value Decomposition Model and Its Application to Genomic Data Analysis 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:  Min, Wenwen;  Wan, Xiang;  Chang, Tsung-Hui;  Zhang, Shihua
收藏  |  浏览/下载：141/0  |  提交时间：2022/04/02
Gene expression  Biology  Biological system modeling  Principal component analysis  Mathematical model  Data models  Big Data  Absolute-valued graph regularization  graph regularization  sparse learning  structured sparse singular value decomposition (SVD)