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Yongyong Hui
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2020 – today
- 2025
- [j9]Kai Liu, Xiaoqiang Zhao
, Miao Mou, Yongyong Hui:
Quality prediction of multi-stage batch process based on integrated ConvBiGRU with attention mechanism. Appl. Intell. 55(2): 123 (2025) - 2024
- [j8]Zhaoyang Song
, Defu Qiu
, Xiaoqiang Zhao
, Ruijuan Liu
, Yongyong Hui
, Hongmei Jiang
:
Parallel Alternating Iterative Optimization for Cardiac Magnetic Resonance Image Blind Super-Resolution. IEEE J. Biomed. Health Informatics 28(9): 5136-5146 (2024) - 2023
- [j7]Zhaoyang Song, Defu Qiu
, Xiaoqiang Zhao, Dongmei Lin, Yongyong Hui:
Channel attention generative adversarial network for super-resolution of glioma magnetic resonance image. Comput. Methods Programs Biomed. 229: 107255 (2023) - [j6]Zhaoyang Song
, Xiaoqiang Zhao, Yongyong Hui, Hongmei Jiang:
Attention hierarchical network for super-resolution. Multim. Tools Appl. 82(30): 46351-46369 (2023) - [j5]Zhaoyang Song, Xiaoqiang Zhao
, Yongyong Hui, Hongmei Jiang:
Fusing Attention Network Based on Dilated Convolution for Superresolution. IEEE Trans. Cogn. Dev. Syst. 15(1): 234-241 (2023) - [j4]Xiaoqiang Zhao
, Kai Liu
, Yongyong Hui
:
Fault monitoring of batch process based on multi-stage optimization regularized neighborhood preserving embedding algorithm. Trans. Inst. Meas. Control 45(1): 89-103 (2023) - 2022
- [j3]Hongjuan Yao
, Xiaoqiang Zhao
, Wei Li, Yongyong Hui
:
Batch process monitoring based on global enhanced multiple neighborhoods preserving embedding. Trans. Inst. Meas. Control 44(3) (2022) - 2021
- [j2]Zhaoyang Song, Xiaoqiang Zhao, Yongyong Hui, Hongmei Jiang:
Progressive back-projection network for COVID-CT super-resolution. Comput. Methods Programs Biomed. 208: 106193 (2021) - 2020
- [j1]Yongyong Hui
, Xiaoqiang Zhao:
Sparse representation preserving embedding based on extreme learning machine for process monitoring. Trans. Inst. Meas. Control 42(10): 1895-1907 (2020)
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last updated on 2025-01-27 00:46 CET by the dblp team
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