Taking the pulse of COVID-19: a spatiotemporal perspective. - Chaowei Yang; Dexuan Sha; Qian Liu 011; Yun Li 005; Hai Lan 001; Weihe Wendy Guan; Tao Hu 004; Zhenlong Li; Zhiran Zhang; John Hoot Thompson; Zifu Wang; David W. S. Wong; et al. (Int. J. Digit. Earth, 2020)

Building an Open Resources Repository for COVID-19 Research. - Tao Hu 004; Weihe Wendy Guan; Xinyan Zhu; Yuanzheng Shao; Lingbo Liu; Jing Du; Hongqiang Liu; Huan Zhou 007; Jialei Wang; Bing She; Luyao Zhang 001; Zhibin Li; et al. (Data Inf. Manag., 2020)

Spatiotemporal Patterns of COVID-19 Impact on Human Activities and Environment in Mainland China Using Nighttime Light and Air Quality Data. - Qian Liu 011; Dexuan Sha; Wei Liu; Paul R. Houser; Luyao Zhang 001; Ruizhi Hou; Hai Lan 001; Colin Flynn; Mingyue Lu; Tao Hu 004; Chaowei Yang (Remote. Sens., 2020)

Error feedback denoising network. - Ruizhi Hou; Fang Li 004 (IET Image Process., 2021)

IDPCNN: Iterative denoising and projecting CNN for MRI reconstruction. - Ruizhi Hou; Fang Li 004 (J. Comput. Appl. Math., 2022)

Truncated Residual Based Plug-and-Play ADMM Algorithm for MRI Reconstruction. - Ruizhi Hou; Fang Li 004; Guixu Zhang (IEEE Trans. Computational Imaging, 2022)

MD-IQA : Learning Multi-Scale Distributed Image Quality Assessment with Semi Supervised Learning for Low Dose CT. - Tao Song; Ruizhi Hou; Lisong Dai; Lei Xiang (ISBI, 2024)

Hyperspectral image denoising via cooperated self-supervised CNN transform and nonconvex regularization. - Ruizhi Hou; Fang Li 004 (Neurocomputing, 2025)

Denoising Knowledge Transfer Model for Zero-Shot MRI Reconstruction. - Ruizhi Hou; Fang Li 004 (IEEE Trans. Computational Imaging, 2025)

Fast and Reliable Score-Based Generative Model for Parallel MRI. - Ruizhi Hou; Fang Li 004; Tieyong Zeng (IEEE Trans. Neural Networks Learn. Syst., 2025)