Search Results for author:
Found 8 papers, 2 papers with code
Single-pixel imaging based on deep learning
Single-pixel imaging can collect images at the wavelengths outside the reach of conventional focal plane array detectors.
Audience Expansion for Multi-show Release Based on an Edge-prompted Heterogeneous Graph Network
In the offline stage, to construct the graph, user IDs and specific side information combinations of the shows are chosen to be the nodes, and click/co-click relations and view time are used to build the edges.
Enhanced Preamble Based MAC Mechanism for IIoT-oriented PLC Network
Finally, with our work, a PLC network based on E-PMAC mechanism can be realized.
Arithmetic addition of two integers by deep image classification networks: experiments to quantify their autonomous reasoning ability
The unprecedented performance achieved by deep convolutional neural networks for image classification is linked primarily to their ability of capturing rich structural features at various layers within networks.
Code-Switching for Enhancing NMT with Pre-Specified Translation
Leveraging user-provided translation to constrain NMT has practical significance.
Alibaba's Neural Machine Translation Systems for WMT18
We participated in 5 translation directions including English ↔ Russian, English ↔ Turkish in both directions and English → Chinese.
Improved English to Russian Translation by Neural Suffix Prediction
Neural machine translation (NMT) suffers a performance deficiency when a limited vocabulary fails to cover the source or target side adequately, which happens frequently when dealing with morphologically rich languages.
