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Yuxing Peng
Researcher at National University of Defense Technology
Publications - 82
Citations - 890
Yuxing Peng is an academic researcher from National University of Defense Technology. The author has contributed to research in topics: Wireless sensor network & Cloud computing. The author has an hindex of 12, co-authored 82 publications receiving 583 citations.
Papers
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Proceedings ArticleDOI
ThunderNet: Towards Real-Time Generic Object Detection on Mobile Devices
TL;DR: benefit from the highly efficient backbone and detection part design, ThunderNet surpasses previous lightweight one-stage detectors with only 40% of the computational cost on PASCAL VOC and COCO benchmarks.
Proceedings ArticleDOI
Fd-Mobilenet: Improved Mobilenet with a Fast Downsampling Strategy
TL;DR: Fast-downsampling MobileNet (FD-MobileNet) as mentioned in this paper proposes a fast downsampling strategy to reduce the computational cost and increase the information capacity of MobileNet.
Journal ArticleDOI
VMThunder: Fast Provisioning of Large-Scale Virtual Machine Clusters
TL;DR: VMThunder, a new VM provisioning tool, which downloads data blocks on demand during the VM booting process and speeds up VM image streaming by strategically integrating peer-to-peer streaming techniques with enhanced optimization schemes such as transfer on demand, cache on read, snapshot on local, and relay on cache.
Journal ArticleDOI
A Composite Model of Wound Segmentation Based on Traditional Methods and Deep Neural Networks.
TL;DR: A composite model of wound segmentation is presented that uses the skin with wound detection algorithm designed in the paper to highlight image features and the preprocessed images are segmented by deep neural networks.
Posted Content
Reinforced Mnemonic Reader for Machine Comprehension
TL;DR: The Reinforced Mnemonic Reader for machine comprehension (MC) task, which aims to answer a query about a given context document, is introduced and several novel mechanisms that address critical problems in MC that are not adequately solved by previous works are proposed.