侯锐志

职称：讲师

邮箱：ruizhihou@xust.edu.cn

专业：信息与计算科学

教育背景：

2014.09-2018.06中国石油大学(华东),理学院,信息与计算科学,学士

2018.09-2024.06华东师范大学,数学科学学院,基础数学,博士

工作履历：

2022.11-2023.02香港中文大学,数学系,科研助理

2024.06至今，任职于雷竞技raybat竞猜

代表性论文：

[1]Hou Ruizhi, Li Fang, Zeng Tieyong. Fast and reliable score-based generative model for parallel MRI[J].IEEE Transactions on Neural Networks and Learning Systems, 2023. (SCI一区Top, JCRQ1, IF 10.4)

[2]Hou Ruizhi, Li Fang. Denoising knowledge transfer model for zero-shot MRI reconstruction [J].IEEE Transactions on Computational Imaging,11: 52-64, 2025. (SCI 2区, JCRQ1)

[3]Hou Ruizhi, Li Fang, Zhang Guixu. Truncated residual based plug-and-play ADMM algorithm for MRI reconstruction[J].IEEE Transactions on Computational Imaging,2022, 8: 96-108. (SCI二区, JCRQ1, IF 5.4)

[4]Hou Ruizhi, Li Fang. Hyperspectral image denoising via cooperated self-supervised CNN transform and nonconvex regularization [J].Neurocomputing, 616: 128912, 2025. (SCI 2区Top, JCRQ1)

[5]Hou Ruizhi, Li Fang. IDPCNN: Iterative denoising and projecting CNN for MRI reconstruction[J].Journal of Computational and Applied Mathematics, 2022, 406: 113973. (SCI二区Top, JCRQ1, IF 2.4)

[6]Hou Ruizhi, Li Fang. Error feedback denoising network[J]. IET Image Processing, 2021, 15(7): 1508-1517. (SCI四区, JCRQ3, IF 2.3)

[7] Song Tao,Hou Ruizhi, et al. MD-IQA: Learning Multi-scale Distributed Image Quality Assessment with Semi Supervised Learning for Low Dose CT[C]//International Symposium on Biomedical Imaging (Oral).