Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Hanqiao Yu"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Deep neural networks (DNNs) are phenomenally successful machine learning methods broadly applied to many different disciplines. However, as complex two-party computations, DNN inference using classical cryptographic methods cannot achieve un
Externí odkaz:
https://doaj.org/article/63a46366af2f4937a61a09c82a7c64ab
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/f74d9218dc0a4ed3b1817487ad320de5
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 1, Pp 438-448 (2023)
For fast and accurate Convolutional Neural Network (CNN) inference of massive Internet of Things (IoT) data, Collaborative Inference (CI) based on partition and compression techniques needs to carefully select the collaboration scheme considering bot
Externí odkaz:
https://doaj.org/article/81f6658c6781444c9afb8e4053d6a9e9
Autor:
Yue Dong, Hanqiao Yu, Xueqi Li, Kelong Bian, Yayuan Zheng, Mingrui Dai, Xuejian Feng, Yao Sun, Yu He, Bin Yu, Haihong Zhang, Jiaxin Wu, Xianghui Yu, Hui Wu, Wei Kong
Publikováno v:
Journal of Neuroinflammation, Vol 19, Iss 1, Pp 1-18 (2022)
Abstract Background Progressive neuronal death is the key pathological feature of Alzheimer’s disease (AD). However, the molecular mechanisms underlying the neuronal death in AD patients have not been fully elucidated. Necroptosis reportedly activa
Externí odkaz:
https://doaj.org/article/0ba0d8e95bab4125a2dc41d2c8de372e
Publikováno v:
IET Renewable Power Generation, Vol 16, Iss 7, Pp 1345-1353 (2022)
Abstract The broadband impedance of converters is an essential feature for the stability analysis of new energy sources. However, obtaining the impedance for photovoltaic (PV) converters with Maximum Power Point Tracking (MPPT) control is challenging
Externí odkaz:
https://doaj.org/article/37f7a652da5743c6a9f20b6013484889
Publikováno v:
IEEE Journal on Selected Areas in Communications. 41:1212-1226
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74a4e2a673635bf4434739f025ac4aec
https://doi.org/10.1109/jsac.2023.3242730
https://doi.org/10.1109/jsac.2023.3242730
Publikováno v:
Science of Advanced Materials. 15:67-78
Vascular stents made based on three-dimensional (3D) printing technology for interventional therapy have become one of the more common clinical means to treat patients with severe coronary heart disease (CHD). However, the biocompatibility of stent s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef05d74c72cfbed769b2bb78b6c8694a
https://doi.org/10.1166/sam.2023.4424
https://doi.org/10.1166/sam.2023.4424
Publikováno v:
National Science Review. 9
Clustering is the discovery of latent group structure in data and is a fundamental problem in artificial intelligence, and a vital procedure in data-driven scientific research over all disciplines. Yet, existing methods have various limitations, espe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b536c2e5bf445bcda5bc47e59a119145
https://doi.org/10.1093/nsr/nwab183
https://doi.org/10.1093/nsr/nwab183
Autor:
Yayuan Zheng, Mingrui Dai, Yue Dong, Hanqiao Yu, Tianfu Liu, Xuejian Feng, Bin Yu, Haihong Zhang, Jiaxin Wu, Wei Kong, Xianghui Yu, Hui Wu
Publikováno v:
Cancers; Volume 14; Issue 14; Pages: 3426
(1) Background: The EMT plays a crucial role in tumor metastasis, which is the major cause for colorectal carcinoma-related mortality. However, the underlying regulators and mechanisms of EMT in CRC metastasis are still poorly understood; (2) Methods
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f063c9c3c91b14038df3016f8afbe371
https://doi.org/10.3390/cancers14143426
https://doi.org/10.3390/cancers14143426
Publikováno v:
IJCAI
The emerging edge-cloud collaborative Deep Learning (DL) paradigm aims at improving the performance of practical DL implementations in terms of cloud bandwidth consumption, response latency, and data privacy preservation. Focusing on bandwidth effici
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf6470b209dc02fcac779b6615933730
https://doi.org/10.24963/ijcai.2020/467
https://doi.org/10.24963/ijcai.2020/467