Sparse representation preserving embedding based on extreme learning machine for process monitoring. - Yongyong Hui; Xiaoqiang Zhao (Trans. Inst. Meas. Control, 2020)

Progressive back-projection network for COVID-CT super-resolution. - Zhaoyang Song; Xiaoqiang Zhao; Yongyong Hui; Hongmei Jiang (Comput. Methods Programs Biomed., 2021)

Batch process monitoring based on global enhanced multiple neighborhoods preserving embedding. - Hongjuan Yao; Xiaoqiang Zhao; Wei Li; Yongyong Hui (Trans. Inst. Meas. Control, 2022)

Fault monitoring of batch process based on multi-stage optimization regularized neighborhood preserving embedding algorithm. - Xiaoqiang Zhao; Kai Liu; Yongyong Hui (Trans. Inst. Meas. Control, 2023)

Channel attention generative adversarial network for super-resolution of glioma magnetic resonance image. - Zhaoyang Song; Defu Qiu; Xiaoqiang Zhao; Dongmei Lin; Yongyong Hui (Comput. Methods Programs Biomed., 2023)

Fusing Attention Network Based on Dilated Convolution for Superresolution. - Zhaoyang Song; Xiaoqiang Zhao; Yongyong Hui; Hongmei Jiang (IEEE Trans. Cogn. Dev. Syst., 2023)

Attention hierarchical network for super-resolution. - Zhaoyang Song; Xiaoqiang Zhao; Yongyong Hui; Hongmei Jiang (Multim. Tools Appl., 2023)

Parallel Alternating Iterative Optimization for Cardiac Magnetic Resonance Image Blind Super-Resolution. - Zhaoyang Song; Defu Qiu; Xiaoqiang Zhao; Ruijuan Liu; Yongyong Hui; Hongmei Jiang (IEEE J. Biomed. Health Informatics, 2024)

Quality prediction of multi-stage batch process based on integrated ConvBiGRU with attention mechanism. - Kai Liu; Xiaoqiang Zhao; Miao Mou; Yongyong Hui (Appl. Intell., 2025)

Batch process quality prediction based on denoising autoencoder-spatial temporal convolutional attention mechanism fusion network. - Yan Zhang; Jie Cao; Xiaoqiang Zhao; Yongyong Hui (Appl. Intell., 2025)