Z
Zhen Li
Researcher at Wuhan University
Publications - 3347
Citations - 95191
Zhen Li is an academic researcher from Wuhan University. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 127, co-authored 1712 publications receiving 71351 citations. Previous affiliations of Zhen Li include Tsinghua University & Hong Kong University of Science and Technology.
Papers
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Journal ArticleDOI
Overcoming Radioresistance in Tumor Therapy by Alleviating Hypoxia and Using the HIF-1 Inhibitor.
TL;DR: The excellent efficacy of radiotherapy achieved by using a new type of yolk-shell Cu2-xSe@PtSe (CSP) nanosensitizer functionalized with the HIF-1α inhibitor acriflavine (ACF) is reported.
Journal ArticleDOI
Fabrication of cross-linked fluorescent polymer nanoparticles and their cell imaging applications
Ke Wang,Xiaoyong Zhang,Xiaoyong Zhang,Xiqi Zhang,Bin Yang,Zhen Li,Qingsong Zhang,Zengfang Huang,Yen Wei +8 more
TL;DR: Biocompatibility evaluation and cell uptake behaviour of the nanoparticles were further investigated to explore their potential biomedical applications and the demonstrated excellent biocompatible made them promising for cell imaging.
Journal ArticleDOI
Functional Disubstituted Polyacetylenes and Soluble Cross-Linked Polyenes: Effects of Pendant Groups or Side Chains on Liquid Crystallinity and Light Emission of Poly(1-phenyl-1-undecyne)s
Jacky Wing Yip Lam,Yuping Dong,Charles Chi Wang Law,Yongqiang Dong,Kevin Ka Leung Cheuk,Lo Ming Lai,Zhen Li,Jing Zhi Sun,Hongzheng Chen,Qiang Zheng,Hoi Sing Kwok,Mang Wang,Xin-De Feng,and Jiacong Shen,Ben Zhong Tang +14 more
TL;DR: A group of new poly(1-phenyl-1-undecyne)s with different mesogenic and chromophoric pendant groups or side chains were successfully synthesized and the structural variations were found to greatly affect the mesomorphic and luminescent properties of the polymers as discussed by the authors.
Proceedings ArticleDOI
A new blind robust image watermarking scheme in SVD-DCT composite domain
Zhen Li,Kim-Hui Yap,Baiying Lei +2 more
TL;DR: Experimental results show that the proposed watermarking method performs better than state-of-the-art SVD-based methods, and is comparable with the state- of-art wavelet-based robust image water marking method.
Posted Content
Graph-RISE: Graph-Regularized Image Semantic Embedding
Aleksei Timofeev,Andrew Tomkins,Chun-Ta Lu,Da-Cheng Juan,Futang Peng,Krishnamurthy Viswanathan,Lucy Gao,Sujith Ravi,Tom Duerig,Yi-Ting Chen,Zhen Li +10 more
TL;DR: A large-scale neural graph learning framework that allows embeddings to discriminate an unprecedented O(40M) ultra-fine-grained semantic labels, Graph-RISE outperforms state-of-the-art image embedding algorithms on several evaluation tasks, including image classification and triplet ranking.