Y
Yin Zhang
Researcher at University of Electronic Science and Technology of China
Publications - 322
Citations - 7094
Yin Zhang is an academic researcher from University of Electronic Science and Technology of China. The author has contributed to research in topics: Radar & Radar imaging. The author has an hindex of 35, co-authored 273 publications receiving 4960 citations. Previous affiliations of Yin Zhang include Huazhong University of Science and Technology & Nanjing University.
Papers
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Self-Evolving Trading Strategy Integrating Internet of Things and Big Data
TL;DR: Back propagation neural network is chosen to establish price forecasting model and a self-evolving commodity futures trading strategy is proposed, which has a good performance both in yield and risk and is superior to other compared strategies in the proposed evaluation indicator.
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Fast Sparse-TSVD Super-Resolution Method of Real Aperture Radar Forward-Looking Imaging
TL;DR: This article employs iterative reweighted least square (IRLS) method to solve the objective function, and the dimension of the reversed matrix is lessened, improving the azimuth resolution in low SNR condition and increases computational efficiency compared with the sparse-TSVD method.
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Fake news detection for epidemic emergencies via deep correlations between text and images
Jiangfeng Zeng,Yin Zhang,Xiao Ma +2 more
TL;DR: This work proposes a novel approach for Fake News Detection by comprehensively mining the Semantic Correlations between Text content and Images attached (FND-SCTI), which outperforms seven competitive approaches, and is able to capture the semantic correlations among multimodal contents.
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High-Performance Isolation Computing Technology for Smart IoT Healthcare in Cloud Environments
TL;DR: A performance isolation algorithm for multitenant IoT clouds is proposed, which can effectively provide performance isolation between tenants and show that the message processing delay of tenants working within the allocated quota can be reduced by 82%.
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Angular Superresolution for Scanning Radar With Improved Regularized Iterative Adaptive Approach
TL;DR: In this letter, an improved regularized iterative adaptive approach (IAA) is proposed for scanning radar angular superresolution and the diagonal loading method is introduced to solve the ill-posed problem.