S
Shu Zhang
Researcher at Nanjing Forestry University
Publications - 1066
Citations - 23092
Shu Zhang is an academic researcher from Nanjing Forestry University. The author has contributed to research in topics: Catalysis & Pyrolysis. The author has an hindex of 59, co-authored 850 publications receiving 15345 citations. Previous affiliations of Shu Zhang include National Institute for Materials Science & University of California, Los Angeles.
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Journal ArticleDOI
Excitotoxicity and stroke: identifying novel targets for neuroprotection.
TL;DR: This review aims to provide a comprehensive summary of the literature on excitotoxicity and perspectives on how the new generation of excitOToxicity inhibitors may succeed despite the failure of the previous generation of drugs.
Proceedings ArticleDOI
Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis
TL;DR: Tang et al. as discussed by the authors proposed a Two-Pathway Generative Adversarial Network (TP-GAN) for photorealistic frontal view synthesis by simultaneously perceiving global structures and local details.
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Histopathologic Changes and SARS-CoV-2 Immunostaining in the Lung of a Patient With COVID-19.
Huilan Zhang,Peng Zhou,Yanqiu Wei,Huihui Yue,Yi Wang,Ming Hu,Shu Zhang,Tanze Cao,Chengqing Yang,Ming Li,Guangyun Guo,Xianxiang Chen,Ying Chen,Mei Lei,Huiguo Liu,Jianping Zhao,Peng Peng,Cong-Yi Wang,Ronghui Du +18 more
TL;DR: The histopathologic changes in the lung of a patient with COVID-19, a 72-year-old man with a history of diabetes and hypertension presented with fever and cough, died 3 weeks after diagnosis of SARS–CoV-2.
Journal ArticleDOI
Living at the Extremes: Extremophiles and the Limits of Life in a Planetary Context.
Nancy Merino,Heidi S. Aronson,D.P. Bojanova,Jayme Feyhl-Buska,Michael L. Wong,Shu Zhang,Donato Giovannelli +6 more
TL;DR: The current state of knowledge for the biospace in which life operates on Earth is reviewed and discussed in a planetary context, highlighting knowledge gaps and areas of opportunity.
Proceedings ArticleDOI
Towards Rich Feature Discovery With Class Activation Maps Augmentation for Person Re-Identification
TL;DR: A Class Activation Maps (CAM) augmentation model is proposed to expand the activation scope of baseline Re-ID model to explore rich visual cues, where the backbone network is extended by a series of ordered branches which share the same input but output complementary CAM.