4 citations · 5 across the 2 of their papers we have counts for
4 papers
Towards Understanding Residual and Dilated Dense Neural Networks via Convolutional Sparse Coding
Zhiyang Zhang, Shihua Zhang
Convolutional neural network (CNN) and its variants have led to many state-of-art results in various fields. However, a clear theoretical understanding about them is still lacking.…
Bayesian Joint Matrix Decomposition for Data Integration with Heterogeneous Noise
Chihao Zhang, Shihua Zhang
Matrix decomposition is a popular and fundamental approach in machine learning and data mining. It has been successfully applied into various fields. Most matrix decomposition meth…
A Unified Joint Matrix Factorization Framework for Data Integration
Lihua Zhang, Shihua Zhang
Nonnegative matrix factorization (NMF) is a powerful tool in data exploratory analysis by discovering the hidden features and part-based patterns from high-dimensional data. NMF an…
The Discovery of Mutated Driver Pathways in Cancer: Models and Algorithms
Junhua Zhang, Shihua Zhang
The pathogenesis of cancer in human is still poorly understood. With the rapid development of high-throughput sequencing technologies, huge volumes of cancer genomics data have bee…