509 citations · 513 across the 4 of their papers we have counts for
4 papers
LSHR-Net: a hardware-friendly solution for high-resolution computational imaging using a mixed-weights neural network
Fangliang Bai, Jinchao Liu, Xiaojuan Liu +3
Recent work showed neural-network-based approaches to reconstructing images from compressively sensed measurements offer significant improvements in accuracy and signal compression…
Learning to Support: Exploiting Structure Information in Support Sets for One-Shot Learning
Jinchao Liu, Stuart J. Gibson, Margarita Osadchy
Deep Learning shows very good performance when trained on large labeled data sets. The problem of training a deep net on a few or one sample per class requires a different learning…
Dynamic Spectrum Matching with One-shot Learning
Jinchao Liu, Stuart J. Gibson, James Mills +1
Convolutional neural networks (CNN) have been shown to provide a good solution for classification problems that utilize data obtained from vibrational spectroscopy. Moreover, CNNs…
Deep Convolutional Neural Networks for Raman Spectrum Recognition: A Unified Solution
Jinchao Liu, Margarita Osadchy, Lorna Ashton +3
Machine learning methods have found many applications in Raman spectroscopy, especially for the identification of chemical species. However, almost all of these methods require non…