J
Junwei Zhou
Researcher at Wuhan University of Technology
Publications - 67
Citations - 1008
Junwei Zhou is an academic researcher from Wuhan University of Technology. The author has contributed to research in topics: Encryption & Computer science. The author has an hindex of 11, co-authored 60 publications receiving 741 citations. Previous affiliations of Junwei Zhou include Beihang University & Shenzhen University.
Papers
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Journal ArticleDOI
An Efficient File Hierarchy Attribute-Based Encryption Scheme in Cloud Computing
TL;DR: An efficient file hierarchy attribute-based encryption scheme is proposed in cloud computing that combines layered access structures into a single access structure, and then, the hierarchical files are encrypted with the integrated access structure.
Proceedings Article
Word Embeddings and Convolutional Neural Network for Arabic Sentiment Classification
TL;DR: A scheme of Arabic sentiment classification, which evaluates and detects the sentiment polarity from Arabic reviews and Arabic social media, is studied and it is shown that the proposed scheme outperforms the existed methods on 4 out of 5 balanced and unbalanced datasets.
Journal ArticleDOI
Comparative Studies of the Cellular Uptake, Subcellular Localization, and Cytotoxic and Phototoxic Antitumor Properties of Ruthenium(II)–Porphyrin Conjugates with Different Linkers
Jing-Xiang Zhang,Junwei Zhou,Chi-Fai Chan,Terrence Chi-Kong Lau,Daniel W. J. Kwong,Hoi Lam Tam,Nai Ki Mak,Ka-Leung Wong,Wai-Kwok Wong +8 more
TL;DR: Conjugate 2, with its hydrophobic phenylethynyl linker, was shown to be highly promising for further development as a bifunctional probe for two-photon (NIR) induced PDT and in vitro imaging and cellular uptake and subcellular localization properties were showed to be crucial to its PDT efficacy.
Journal ArticleDOI
Arabic Sentiment Classification Using Convolutional Neural Network and Differential Evolution Algorithm.
TL;DR: The proposed framework DE-CNN has higher accuracy and is less time consuming than the state-of-the-art algorithms, and the performance of the proposed framework is evaluated on five Arabic sentiment datasets.
Journal ArticleDOI
A Modified Chaos-Based Joint Compression and Encryption Scheme
TL;DR: An approach for improving the compression performance of an existing chaos-based joint compression and encryption scheme by dynamically updating the lookup table used for encryption, which leads to a better compression performance and the execution efficiency.