1 citations · 1 across the 1 of their papers we have counts for
4 papers
A Use of Even Activation Functions in Neural Networks
Fuchang Gao, Boyu Zhang
Despite broad interest in applying deep learning techniques to scientific discovery, learning interpretable formulas that accurately describe scientific data is very challenging be…
A Novel DNN Training Framework via Data Sampling and Multi-Task Optimization
Boyu Zhang, A. K. Qin, Hong Pan +1
Conventional DNN training paradigms typically rely on one training set and one validation set, obtained by partitioning an annotated dataset used for training, namely gross trainin…
Efficient Inference of CNNs via Channel Pruning
Boyu Zhang, Azadeh Davoodi, Yu Hen Hu
The deployment of Convolutional Neural Networks (CNNs) on resource constrained platforms such as mobile devices and embedded systems has been greatly hindered by their high impleme…
A Mixture of Expert Approach for Low-Cost Customization of Deep Neural Networks
Boyu Zhang, Azadeh Davoodi, Yu-Hen Hu
The ability to customize a trained Deep Neural Network (DNN) locally using user-specific data may greatly enhance user experiences, reduce development costs, and protect user's pri…