Zobrazeno 1 - 10
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pro vyhledávání: '"Liang Huang"'
Publikováno v:
Engineering. 18:143-153
After more than 70 years of evolution, great achievements have been made in machine translation. Especially in recent years, translation quality has been greatly improved with the emergence of neural machine translation (NMT). In this article, we fir
Publikováno v:
IEEE Transactions on Industrial Electronics. 69:6881-6891
Autor:
Xiaoniu Yang, Zhuangzhi Chen, Hui Cui, Jingyang Xiang, Liang Huang, Shichuan Chen, Shilian Zheng, Qi Xuan, Kunfeng Qiu
Publikováno v:
IEEE Transactions on Cognitive Communications and Networking. 8:529-541
Deep learning methods achieve great success in many areas due to their powerful feature extraction capabilities and end-to-end training mechanism, and recently they are also introduced for radio signal modulation classification. In this paper, we pro
Publikováno v:
IEEE Internet of Things Journal. 9:1171-1181
The Internet of Things (IoT) is a highly integrated application of the advanced information technology, which is expected to bring convenience for daily life and improve the efficiency of industrial production. Owing to the limitation of battery capa
Publikováno v:
Lab on a Chip. 22:1206-1213
High content screening (HCS) plays an important role in biological applications, and drug development. Existing techniques fail to simultaneously meet multiple needs of throughput, efficiency in sample and chemical consumption, real-time imaging of a
Publikováno v:
IEEE Transactions on Wireless Communications. 20:7519-7537
Opportunistic computation offloading is an effective method to improve the computation performance of mobile-edge computing (MEC) networks under dynamic edge environment. In this paper, we consider a multi-user MEC network with time-varying wireless
Autor:
Liang Huang, Boxiang Liu
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-11 (2021)
BMC Medical Informatics and Decision Making
BMC Medical Informatics and Decision Making
Background Biomedical language translation requires multi-lingual fluency as well as relevant domain knowledge. Such requirements make it challenging to train qualified translators and costly to generate high-quality translations. Machine translation
A General Mutual Coupling Model of MIMO Capacitive Coupling Interface With Arbitrary Number of Ports
Publikováno v:
IEEE Transactions on Power Electronics. 36:6163-6167
A general mutual coupling model of multiple input and/or multiple output (MIMO) capacitive coupling interface with an arbitrary number of ports is proposed. In the model proposed in this letter, all the capacitances between the metal plates are taken
Autor:
Kuo-Yu Huang, Maw-Song Chen, Wei-Ming Huang, Yen-Liang Chen, Yang-An Wu, Wen-Rei Guo, Jia-Hong Ye, Ching-Liang Huang
Publikováno v:
SID Symposium Digest of Technical Papers. 52:488-491
Publikováno v:
IEEE Communications Letters. 25:1568-1572
Deep learning-based algorithms provide a promising solution to efficiently generate offloading decisions in mobile edge computing (MEC) networks. However, considering dynamic MEC devices or offloading tasks, most of them require large-scale training