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325 results on '"Gao, Yongqiang"'

18. A Deep Reinforcement Learning-Based Approach to the Scheduling of Multiple Workflows on Non-dedicated Edge Servers

Author

Gao, Yongqiang, Feng, Ke, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Shen, Hong, editor, Sang, Yingpeng, editor, Zhang, Yong, editor, Xiao, Nong, editor, Arabnia, Hamid R., editor, Fox, Geoffrey, editor, Gupta, Ajay, editor, and Malek, Manu, editor

Published
2022
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19. Multiple Workflows Offloading Based on Deep Reinforcement Learning in Mobile Edge Computing

Author

Gao, Yongqiang, Wang, Yanping, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Lai, Yongxuan, editor, Wang, Tian, editor, Jiang, Min, editor, Xu, Guangquan, editor, Liang, Wei, editor, and Castiglione, Aniello, editor

Published
2022
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20. Location Aware Workflow Migration Based on Deep Reinforcement Learning in Mobile Edge Computing

Author

Gao, Yongqiang, Liu, Xiaolei, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Lai, Yongxuan, editor, Wang, Tian, editor, Jiang, Min, editor, Xu, Guangquan, editor, Liang, Wei, editor, and Castiglione, Aniello, editor

Published
2022
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22. Genetic Testing for Global Developmental Delay in Early Childhood

Author

Zhang, Jiamei, primary, Xu, Yiran, additional, Liu, Yun, additional, Yue, Ling, additional, Jin, Hongfang, additional, Chen, Yongqian, additional, Wang, Dong, additional, Wang, Mingmei, additional, Chen, Gongxun, additional, Yang, Lei, additional, Zhang, Guangyu, additional, Zhang, Xiaoli, additional, Li, Sansong, additional, Zhao, Huiling, additional, Zhao, Yunxia, additional, Niu, Guohui, additional, Gao, Yongqiang, additional, Cai, Zhijun, additional, Yang, Fan, additional, Zhu, Changlian, additional, and Zhu, Dengna, additional

Published
2024
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27. Control of septum thickness by the curvature of SepF polymers

Author

Wenzel, Michaela, Gulsoy, Ilkay N. Celik, Gao, Yongqiang, Teng, Zihao, Willemse, Joost, Middelkamp, Martijn, van Rosmalen, Mariska G. M., Larsen, Per W. B., van der Wel, Nicole N., Wuite, Gijs J. L., Roos, Wouter H., and Hamoen, Leendert W.

Published
2021

35. Local Multi-Grouped Binary Descriptor with Ring-based Pooling Configuration and Optimization

Author

Gao, Yongqiang, Huang, Weilin, and Qiao, Yu

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Local binary descriptors are attracting increasingly attention due to their great advantages in computational speed, which are able to achieve real-time performance in numerous image/vision applications. Various methods have been proposed to learn data-dependent binary descriptors. However, most existing binary descriptors aim overly at computational simplicity at the expense of significant information loss which causes ambiguity in similarity measure using Hamming distance. In this paper, by considering multiple features might share complementary information, we present a novel local binary descriptor, referred as Ring-based Multi-Grouped Descriptor (RMGD), to successfully bridge the performance gap between current binary and floated-point descriptors. Our contributions are two-fold. Firstly, we introduce a new pooling configuration based on spatial ring-region sampling, allowing for involving binary tests on the full set of pairwise regions with different shapes, scales and distances. This leads to a more meaningful description than existing methods which normally apply a limited set of pooling configurations. Then, an extended Adaboost is proposed for efficient bit selection by emphasizing high variance and low correlation, achieving a highly compact representation. Secondly, the RMGD is computed from multiple image properties where binary strings are extracted. We cast multi-grouped features integration as rankSVM or sparse SVM learning problem, so that different features can compensate strongly for each other, which is the key to discriminativeness and robustness. The performance of RMGD was evaluated on a number of publicly available benchmarks, where the RMGD outperforms the state-of-the-art binary descriptors significantly., Comment: To appear in IEEE Trans. on Image Processing, 2015

Published
2015
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40. Low-Rank Matrix Recovery via Continuation-Based Approximate Low-Rank Minimization

Author

Zhang, Xiang, Gao, Yongqiang, Lan, Long, Guo, Xiaowei, Huang, Xuhui, Luo, Zhigang, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Geng, Xin, editor, and Kang, Byeong-Ho, editor

Published
2018
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41. Energy-Efficient and Quality of Experience-Aware Resource Provisioning for Massively Multiplayer Online Games in the Cloud

Author

Gao, Yongqiang, Wang, Lin, Xie, Zhulong, Guo, Wenhui, Zhou, Jiantao, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Pahl, Claus, editor, Vukovic, Maja, editor, Yin, Jianwei, editor, and Yu, Qi, editor

Published
2018
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