周激流，工学博士，二级教授，博士生导师；
Email: zhoujl@cuit.edu.cn；
科研和研究生招生方向：
1、人工智能；
2、智慧气象；
3、计算机图形图像处理；
4、分数阶微积分算法及其在信息处理中的应用；
个人简介：
周激流教授曾任成都信息工程大学校党委书记，是国务院政府特殊津贴专家，国家科技进步奖、国家技术发明奖评审专家，教育部、四川省、山西省等省部委科技进步奖评委，教育部高等学校教学指导委员会软件工程专业委员，教育部计算机科学与技术专业教学指导委员，IEEE Senior Member。
周激流教授是四川省首届天府青城计划科技领军人才入选者，四川省学术与技术带头人，四川省有突出贡献优秀专家，四川省教学名师，中国图形图像学会智能CAD与数字艺术专业委员会副主任，中国人工智能学会智能CAD与数字艺术专业委员会副主任，四川省计算机学会副理事长，四川省计算机用户协会副理事长，成都市第十三届政协委员。
周激流教授主要研究方向为：人工智能，智慧气象，计算机图形图像处理，分数阶微积分算法及其在信息处理中的应用。主持包括国家重点研发计划项目、国家自然科学基金重点项目、973 子项目、863 项目、教育部博士点基金项目在内共 40 余项国家级和省部级科研项目，在国内外核心学术期刊和国际会议上发表论文 200 余篇，其中 SCI、EI 检索 180 余篇次。获国家发明专利 15 项（授权），出版学术专著 5 部（英文 1 部），先后获国家自然科学奖二等奖、教育部自然科学一等奖、四川省科技进步奖一、二、三等奖，四川省教学成果一、三等奖等。
承担科研项目：
1. 国家重点研发计划“社会治理与智慧社会科技支撑”重点专项，“基层社会网格治理数字化关键技术研究与应用示范”（2021YFC3300300），课题负责人。
2. 国家重点研发计划“网络空间安全”重点专项，“异构身份联盟集成认证与防伪防盗技术研究”（2017YFB0802300），子课题负责人。
3. 国家重点基础研究发展计划(973 计划)前期研究专项，“采用多体素模式分析的多模态磁共振图像融合方法研究”（2014CB360506），项目负责人。
4. 国家自然科学基金面上项目，“容延迟移动传感器网络中基于热点的路由协议的研究”（61272448），项目负责人。
5. 国家自然科学基金面上项目，“容延迟移动传感器网络中时钟同步机制的研究”（60940031），项目负责人。
6. 国家自然科学基金面上项目，“容延迟移动传感器网络中通信协议的研究”（60773168），项目负责人。
7. 国家卫星气象中心，“风云三号（02 批）气象卫星地面应用系统工程西南区域交通卫星遥感监测服务应用软件研制”，项目负责人。
8. 四川省科技厅重点项目，“道路交通气象灾害多源观测融合系统研究”（2020YFG0143），项目负责人。
9. 四川省科技厅重点项目，“基于神经网络的智能印章识别系统”（2009GZ0158），项目负责人。
10. 四川省科技厅重点项目，“分数阶微积分算子及其在信息处理中应用的研究”（2008HH0009），项目负责人。
11. 四川省科技厅重点项目，“移动传感器网络路由协议及应用系统的研究”（2012GZ0005），项目负责人。
12. 四川省科技厅重点项目，“容延迟移动传感器网络关键技术及应用系统的研究”（2010GZ0169），项目负责人。
13. 四川省科技厅重点项目，“疲劳驾驶检测系统产业化”，项目负责人。
14. 四川川大智胜软件股份有限公司，“三维人脸识别关键技术研究”，项目负责人。
出版专著：
1. Jian Cheng Lv, Zhang Yi , Jiliu Zhou. Subspace Learning of Neural Networks, CRC Press, 2010.
2. 周激流, 蒲亦非, 廖科. 分数阶微积分原理及其在现代信号分析与处理中的应用, 科学出版社, 2010.
3. 周激流, 蒲亦非, 黄果, 陈庆利. 分数阶微积分理论在图像增强和去噪中的应用, 四川大学出版社, 2012.
4. 蒲亦非, 张妮, 周激流. 信号处理的分数阶微积分原理, 四川大学出版社, 2020.
发表论文：
1. Chen Xiang, Xia Wenjun, Liu Yan, Chen Hu, Zhou Jiliu, Zha Zhiyuan, Wen Bihan, Zhang Yi. FONT-SIR: Fourth-Order Nonlocal Tensor Decomposition Model for Spectral CT Image Reconstruction. IEEE Transactions on Medical Imaging. 2022
2. Jing Jie, Xia Wenjun, Hou Mingzheng, Chen Hu, Liu Yan, Zhou Jiliu, Zhang Yi. Training low dose CT denoising network without high quality reference data. Physics in Medicine and Biology. 2022
3. Zhan Bo, Li Di, Wu Xi, Zhou Jiliu, Wang Yan. Multi-Modal MRI Image Synthesis via GAN with Multi-Scale Gate Mergence. IEEE Journal of Biomedical and Health Informatics. 2022
4. Wang Kaiping, Zhan Bo, Zu Chen, Wu Xi, Zhou Jiliu, Zhou Luping, Wang Yan. Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning. Medical Image Analysis. 2022
5. Zhan Bo, Xiao Jianghong, Cao Chongyang, Peng Xingchen, Zu Chen, Zhou Jiliu, Wang Yan. Multi-constraint generative adversarial network for dose prediction in radiotherapy. Medical Image Analysis. 2022
6. Huang Yongqiang, Xia Wenjun, Lu Zexin, Liu Yan, Chen Hu, Zhou Jiliu, Fang Leyuan, Zhang Yi. Noise-Powered Disentangled Representation for Unsupervised Speckle Reduction of Optical Coherence Tomography Images. IEEE Transactions on Medical Imaging. 2022
7. Zhang Yongqing, Qiao Shaojie, Zeng Yuanqi, Gao Dongrui, Han Nan, Zhou Jiliu. CAE-CNN: Predicting transcription factor binding site with convolutional autoencoder and convolutional neural network. Expert Systems with Applications. 2021
8. Fu Ying, Gong Minxue, Yang Guang, Wei Hong, Zhou Jiliu. Evolutionary GAN-Based Data Augmentation for Cardiac Magnetic Resonance Image. Computers, Materials and Continua. 2021
9. Shao Zhimin, Lu Zexin, Ran Maosong, Fang Leyuan, Zhou Jiliu, Zhang Yi. Residual Encoder-Decoder Conditional Generative Adversarial Network for Pansharpening. IEEE Geoscience and Remote Sensing Letters. 2021
10. Hu Jinrong, Lei Zhiqin, Li Xiaoying, He Yongqun, Zhou Jiliu. Ultrasound speckle reduction based on histogram curve matching and region growing. Computers, Materials and Continua. 2020
11. Zhipeng Yang, Xiaojie Li, Jiliu Zhou, Xi Wu, Zhaohua Ding. Functional clustering of whole brain white matter fibers. Journal of Neuroscience Methods. 2020
12. Ran Maosong, Hu Jinrong, Chen Yang, Chen Hu, Sun Huaiqiang, Zhou Jiliu, Zhang Yi. Denoising of 3D magnetic resonance images using a residual encoder-decoder Wasserstein generative adversarial network. Medical Image Analysis. 2019
13. Zongqing Ma, Xi Wu, Xin Wang, Qi Song, Youbing Yin, Kunlin Cao, Yan Wang, Jiliu Zhou. An iterative multi‐path fully convolutional neural network for automatic cardiac segmentation in cine MR images. Medical Physics. 2019
14. Zongqing Ma, Shuang Zhou, Xi Wu, Heye Zhang, Weijie Yan, Shanhui Sun and Jiliu Zhou. Nasopharyngeal carcinoma segmentation based on enhanced convolutional neural networks using multi-modal metric learning. Physics in Medicine & Biology. 2019
15. Liu Chang, Wu Xi, Yu Xi, Tang Yuanyan, Zhang Jian, Zhou Jiliu. Fusing multi-scale information in convolution network for MR image super-resolution reconstruction. Biomedical Engineering Online. 2018
16. Yan Wang, Guangkai Ma, Xi Wu, Jiliu Zhou. Patch-based label fusion with structured discriminant embedding for Hippocampus Segmentation. Neuroinformatics. 2018
17. Jing Hu, Xi Wu , Jiliu Zhou. Noise robust single image super-resolution using a multiscale image pyramid. Signal Processing. 2018
18. Yan Wang, Chen Zu, Zongqing Ma, Yong Luo, Kun He, Xi Wu, Jiliu Zhou. Patch-wise label propagation for MR brain segmentation based on multi-atlas images. Multimedia Systems. 2017
19. Yan Wang, Chen Zu, Zongqing Ma, Yong Luo, Kun He, Xi Wu, Jiliu Zhou. Automatic segmentation with Deep Convolutional Neural Networks for radiotherapy applications. Neural Processing Letters. 2017
20. Zhipeng Yang, Peiyu He, Jiliu Zhou, Zhaohua Ding, Xi Wu. Functional Informed Fiber Tracking Using Combination of Diffusion and Functional MRI. IEEE Transaction on Biomedical Engineering. 2018
21. H Chen, Y Zhang, YJ Chen, JF Zhang, WH Zhang, HQ Sun, Y Lv, PX Liao, JL Zhou, G Wang. LEARN: Learned Experts' Assessment-Based Reconstruction Network for Sparse-Data CT. IEEE Transactions on Medical Imaging. 2018
22. YF Pu, P Siarry, A Chatterjee, ZN Wang, YG Liu, JL Zhou, Y Wang. A Fractional-Order Variational Framework for Retinex: Fractional-Order Partial Differential Equation Based Formulation for Multi-scale Nonlocal Contrast Enhancement with Texture Preserving. IEEE Transactions on Image Processing. 2018
23. Xi Wu, Ting Wang, Chang Liu, Tao Wu, Jiefeng Jiang, Dong Zhou, Jiliu Zhou. The functions of the learning rate in adaptive reward learning. Frontiers in Human Neuroscience. 2017
24. Zhipeng Yang, Peiyu He, Jiliu Zhou, Xi Wu. Non-Local Diffusion Weighted Image Super-Resolution Using Collaborative Joint Information. Experimental and Therapeutic Medicine, 2017
25. Jing Hu, Xi Wu, Jiliu Zhou. Second-order regression-based MR image upsampling. Computational and Mathematical Methods in Medicine. 2017
26. Xi Wu, Zhipeng Yang, Stephen Bailey, Jiliu Zhou, Laurie Cutting, John Gore, Zhaohua Ding. Functional Connectivity and Activity of White Matter in Somatosensory Pathways under Tactile Stimulations. NeuroImage. 2017
27. YF Pu, Y Zhang, JL Zhou. Fractional Hopfield Neural Networks: Fractional Dynamic Associative Recurrent Neural Networks. IEEE Transactions on Neural Networks and Learning Systems. 2017
28. Hu Chen, Yi Zhang, Weihua Zhang, Peixi Liao, Ke Li, Jiliu Zhou, Ge Wang. Low-dose CT via convolutional neural network. Biomedical Optics Express. 2017
29. Hu Chen, Yi Zhang, Mannudeep K. Kalra, Feng Lin, Yang Chen, Peixi Liao, Jiliu Zhou, Ge Wang. Low-dose CT with a residual encoder-decoder convolutional neural network. IEEE Transactions on Medical Imaging. 2017
30. YiFei Pu, JiLiu Zhou, Zhang Yi, Ni Zhang, Guo Huang, Patrick Siarry. Fractional Extreme Value Adaptive Training Method: Fractional Steepest Descent Approach. IEEE Transactions on Neural Networks and Learning Systems. 2015
31. YiFei Pu, JiLiu Zhou, Xiao Yuan. Fractional Differential Mask: A Fractional Differential Based Approach for Multi-scale Texture Enhancement. Based Approach for Multi-scale Texture Enhancement. 2010
