Zhou Jiliu, Doctor of Engineering, Second class Professor, Doctoral Supervisor;
Email: zhoujl@cuit.edu.cn ；
Research and postgraduate enrollment direction:
1. Artificial intelligence;
2. Smart weather;
3. Computer graphics and image processing;
4. Fractional calculus algorithm and its application in information processing;
Profile:
Professor Zhou Jiliu is currently the Secretary of the Party Committee of Chengdu University of Information Engineering. He is an expert with special government subsidies under the State Council, a reviewer of the National Science and Technology Progress Award and the National Technology Invention Award, a judge of the Science and Technology Progress Award of the Ministry of Education, Sichuan Province, Shanxi Province and other provincial ministries and commissions, a member of the Software Engineering Discipline of the Higher Education Steering Committee of the Ministry of Education, a member of the Computer Science and Technology Teaching Steering Committee of the Ministry of Education, and an IEEE Senior Member.
Professor Zhou Jiliu is the winner of the first Tianfu Qingcheng Plan Science and Technology Leading Talent in Sichuan Province, the academic and technical leader of Sichuan Province, an outstanding expert with outstanding contributions in Sichuan Province, a famous teacher in Sichuan Province, the deputy director of the Intelligent CAD and Digital Arts Professional Committee of the Chinese Graphics and Image Society, the deputy director of the Intelligent CAD and Digital Arts Professional Committee of the Chinese Artificial Intelligence Society, and the deputy director of the Sichuan Computer Society, Vice Chairman of Sichuan Computer Users Association, member of the 13th CPPCC Chengdu Municipal Committee.
Professor Zhou Jiliu's main research interests are: artificial intelligence, intelligent weather, computer graphics and image processing, fractional calculus algorithm and its application in information processing. He has presided over more than 40 national, provincial and ministerial scientific research projects, including national key research and development programs, key programs of the National Natural Science Foundation of China, 973 subprojects, 863 programs, and doctoral programs of the Ministry of Education. He has published more than 200 papers in core academic journals and international conferences at home and abroad, including more than 180 SCI and EI searches. He has won 15 national invention patents (authorized), published 5 academic monographs (1 in English), won the second prize of National Natural Science Award, the first prize of Natural Science Award of the Ministry of Education, the first, second and third prizes of Sichuan Science and Technology Progress Award, and the first and third prizes of Sichuan Teaching Achievement Award.
Undertake scientific research projects:
1. The national key research and development plan "social governance and smart society science and technology support" key project, "grassroots social grid governance digital key technology research and application demonstration" (2021YFC3300300), project leader.
2. National key research and development plan "Cyberspace security" key project, "Research on Heterogeneous Identity Alliance Integrated Authentication and Anti counterfeiting and Anti theft Technology" (2017YFB0802300), sub project leader.
3. Special research project in the early stage of the National Key Basic Research and Development Plan (973 Plan), "Research on multimodal magnetic resonance image fusion method using multi voxel mode analysis" (2014CB360506), project leader.
4. General project of NSFC, "Research on hotspot based routing protocols in delay tolerant mobile sensor networks" (61272448), project leader.
5. General project of NSFC, "Research on clock synchronization mechanism in delay tolerant mobile sensor networks" (60940031), project leader.
6. General project of NSFC, "Research on Communication Protocols in Delay Tolerant Mobile Sensor Networks" (60773168), project leader.
7. National Satellite Meteorological Center, "Development of Application Software for Traffic Satellite Remote Sensing Monitoring Service in Southwest Region of Fengyun No.3 (Batch 02) Meteorological Satellite Ground Application System Project", project leader.
8. Key project of Sichuan Provincial Science and Technology Department, "Research on multi-source observation and fusion system of road traffic meteorological disasters" (2020YFG0143), project leader.
9. Key project of Sichuan Provincial Science and Technology Department, "Intelligent Seal Recognition System Based on Neural Network" (2009GZ0158), project leader.
10. Key project of Sichuan Provincial Science and Technology Department, "Research on Fractional Calculus Operator and Its Application in Information Processing" (2008HH0009), project leader.
11. Key project of Sichuan Provincial Science and Technology Department, "Research on Mobile Sensor Network Routing Protocol and Application System" (2012GZ0005), project leader.
12. Key project of Sichuan Provincial Science and Technology Department, "Research on Key Technologies and Application Systems of Delay Tolerant Mobile Sensor Networks" (2010GZ0169), project leader.
13. Key project of Sichuan Provincial Science and Technology Department, "Industrialization of Fatigue Driving Detection System", project leader.
14. Sichuan Chuanda Zhisheng Software Co., Ltd., "Research on Key Technologies of 3D Face Recognition", project leader.
Published monographs:
1. Jian Cheng Lv, Zhang Yi , Jiliu Zhou. Subspace Learning of Neural Networks, CRC Press, 2010.
2. Zhou Jiliu, Pu Yifei, Liao Ke Fractional Calculus Principle and Its Application in Modern Signal Analysis and Processing, Science Press, 2010
3. Zhou Jiliu, Pu Yifei, Huang Guo, Chen Qingli Application of fractional calculus theory in image enhancement and denoising, Sichuan University Press, 2012
4. Pu Yifei, Zhang Ni, Zhou Jiliu Fractional Calculus Principle of Signal Processing, Sichuan University Press, 2020
Published papers:
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