Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Juncheng, Shen"'
Autor:
Joanna Ireland, Jason Segura, Genbin Shi, Julianna Buchwald, Gwynne Roth, Thomas Juncheng Shen, Ruipeng Wang, Xinhua Ji, Elizabeth R. Fischer, Susan Moir, Tae-Wook Chun, Peter D. Sun
Publikováno v:
Frontiers in Microbiology, Vol 15 (2024)
HIV-1 gp120 glycan binding to C-type lectin adhesion receptor L-selectin/CD62L on CD4 T cells facilitates viral attachment and entry. Paradoxically, the adhesion receptor impedes HIV-1 budding from infected T cells and the viral release requires the
Externí odkaz:
https://doaj.org/article/d1345b938a9e4d4b9d8558446242fdc7
Autor:
Ireland, Joanna, Segura, Jason, Genbin Shi, Buchwald, Julianna, Roth, Gwynne, Juncheng Shen, Thomas, Ruipeng Wang, Xinhua Ji, Fischer, Elizabeth R., Moir, Susan, Tae-Wook Chun, Sun, Peter D.
Publikováno v:
Frontiers in Microbiology; 2024, p1-17, 17p
Publikováno v:
IEEE Access, Vol 7, Pp 41498-41506 (2019)
Internet application providers now have more incentive than ever to collect user data, which greatly increases the risk of user privacy violations due to the emerging of deep neural networks. In this paper, we propose TensorClog-a poisoning attack te
Externí odkaz:
https://doaj.org/article/4f555be5bd164112a746da496ed85b9f
Autor:
Xuhong Mao, Juzhen Yi, Lingli Long, Liqun Yang, David Y. B. Deng, Juncheng Shen, Kunhua Lin, Li-Ming Zhang, Lin Yin
Publikováno v:
Food & Function. 12:8522-8534
Tea polysaccharides exhibit multiple important bioactivities, but very few of them can be absorbed through the small intestine. To enhance the absorption efficacy of tea polysaccharides, a cationic vitamin B12-conjugated glycogen derivative bearing t
Publikováno v:
IEEE Access, Vol 7, Pp 41498-41506 (2019)
Internet application providers now have more incentive than ever to collect user data, which greatly increases the risk of user privacy violations due to the emerging of deep neural networks. In this paper, we propose TensorClog-a poisoning attack te
Autor:
Yangjing Shen, Qi Xu, Zonghua Gu, Juncheng Shen, Xiaoqiang Xu, Gang Pan, Ming Zhang, Xiaolei Zhu, De Ma
Publikováno v:
Journal of Systems Architecture. 77:43-51
Spiking Neural Network (SNN) is a type of biologically-inspired neural networks that perform information processing based on discrete-time spikes, different from traditional Artificial Neural Network (ANN). Hardware implementation of SNNs is necessar
Publikováno v:
ASP-DAC
In recent years, neuromorphic computing systems (NCS) have gained popularity in accelerating neural network computation because of their high energy efficiency. The known vulnerability of neural networks to adversarial attack, however, raises a sever
Publikováno v:
ICCAD
A concerning weakness of deep neural networks is their susceptibility to adversarial attacks. While methods exist to detect these attacks, they incur significant drawbacks, ignoring external features which could aid in the task of attack detection. I
Publikováno v:
Neurocomputing. 173:768-777
The analysis of cerebrovascular shape is important for the diagnose and pathologic identification. But as the limitation of the segmentation algorithm, the complete cerebrovascular volume data are difficult to obtain. So the triangle mesh of the vess
Autor:
Zonghua Gu, Xiaoqiang Xu, Juncheng Shen, Gang Pan, Qi Xu, Xiaolei Zhu, Ming Zhang, Yangjing Shen, De Ma
Publikováno v:
Science China Information Sciences. 59:1-5
Broadly speaking, the goal of neuromorphic engineering is to build computer systems that mimic the brain. Spiking Neural Network (SNN) is a type of biologically-inspired neural networks that perform information processing based on discrete-time spike