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Rushi Lan
Researcher at Guilin University of Electronic Technology
Publications - 123
Citations - 1714
Rushi Lan is an academic researcher from Guilin University of Electronic Technology. The author has contributed to research in topics: Computer science & Encryption. The author has an hindex of 17, co-authored 86 publications receiving 898 citations. Previous affiliations of Rushi Lan include Chinese Academy of Sciences & Nanjing University.
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Integrated chaotic systems for image encryption
TL;DR: Two integrated chaotic systems are proposed, which conduct cascade, nonlinear combination, and switch operations to three basic 1D chaotic maps to generate new structures to improve the randomicity behaviors of some existing chaotic maps.
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MADNet: A Fast and Lightweight Network for Single-Image Super Resolution
TL;DR: This article proposes a dense lightweight network, called MADNet, for stronger multiscale feature expression and feature correlation learning, and presents a dual residual-path block (DRPB) that utilizes the hierarchical features from original low-resolution images.
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Chinese Image Captioning via Fuzzy Attention-based DenseNet-BiLSTM
TL;DR: Wang et al. as discussed by the authors proposed a fuzzy attention-based DenseNet-BiLSTM Chinese image captioning method, which improves the model's ability to capture weak features and enhances the use of context information.
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Cascading and Enhanced Residual Networks for Accurate Single-Image Super-Resolution
TL;DR: A cascading residual network (CRN) that contains several locally sharing groups (LSGs) that not only promotes the propagation of features and the gradient but also eases the model training is proposed, which outperforms most of the advanced methods while still retaining a reasonable number of parameters.
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Quaternionic Local Ranking Binary Pattern: A Local Descriptor of Color Images
TL;DR: A local descriptor called quaternionic local ranking binary pattern (QLRBP) for color images that works on the quaternionics representation of the color image that encodes a color pixel using a quaternion.