庄培显(Peixian Zhuang)

Nanjing University of Information Science and Technology, Lecturer, Master Supervisor, IEEE and CCF Member 研究兴趣:Image processing and computer visionMachine Learning

I received Ph.D. degree from the School of Information Science and Engineering, Xiamen University in 2016. I am a winner of the Best PhD. Thesis Award in Fujian Province in 2017. My research interests focus on Bayesian machine learning, sparse image representation and deep learning, involving image restoration, image naturalization, medical image reconstruction, remote sensing fusion, and underwater image enhancement, and so on.

1. News: I am honor to be a member of Technical Committee on 2020 IEEE International Conference on Image and Graphics Processing (IEEE 图像与图形处理国际EI会议)


2. News: One paper titled “An Enhancing Approach for Typhoon Cloud Image” has been accepted on 2020 IEEE International Conference on Image and Graphics Processing, Oral Presentation (IEEE 图像与图形处理国际EI会议) !


3. News: One paper titled “Compressed Sensing MRI with Joint Image-Level and Patch-Level Priors” has been accepted on 2019 IEEE International Conference on Image Processing, Poster Presentation (IEEE ICIP, CCF推荐EI会议, 信号处理3大旗舰会议之一) !


4. News: One paper titled “Divide and Conquer Framework for Image Restoration and Enhancement” has been accepted on Engineering Applications of Artificial Intelligence (SCI JCR 2, CCF推荐, IF3.526) !


5. News: Two papers titled “Pan-GGF: A Probabilistic Method for Pan-sharpening With Gradient Domain Guided Image Filtering” and “MRI Reconstruction with an Edge-Preserving Prior” have been accepted on Signal Processing (SCI JCR 2, CCF推荐, IF3.470) !


6. News: One paper titled “Underwater Image Enhancement Using a Multi-Scale Dense Generative Adversarial Network” has been accepted on IEEE Journal of Oceanic Engineering (SCI JCR 2, IF2. 435) !


7. News: I am honor to be the Session Chair (Image Processing II) and a member of Technical Committee on 2019 IEEE International Conference on Signal and Image Processing (IEEE ICSIP, 信号与图像处理国际EI会议)


8. News: Two papers titled “Pan-sharpening with a Gradient Domain Guided Image Filtering Prior” and “Underwater Image Enhancement by Gaussian Curvature Filter” have been accepted on 2019 IEEE International Conference on Signal and Image Processing, Oral Presentation (IEEE ICSIP, 信号与图像处理国际EI会议)


9. News: One paper titled “Compressed Sensing MRI via a Multi-scale Dilated Residual Convolution Network” has been accepted on Magnetic Resonance Imaging (SCI JCR 3, IF2.564) !


10. News: One paper titled “Pan-sharpening via a gradient-based deep network prior” has been accepted on Signal Processing: Image Communications (SCI JCR 3, CCF推荐, IF2. 073) !


11. News: One paper titled “Removing Stripe Noise from Infrared Cloud Image via Deep Convolutional Network” has been accepted on IEEE Photonics Journal (SCI JCR 3, IF2. 627) !


12. I win to be a Professional Master Supervisor !


13. I am a winner of the Best PhD. Thesis Award in Fujian Province in 2017 (福建省优秀博士学位论文)!


14. I win the National Natural Science Foundation of China under Grant (国家自然科学基金青年项目, No. 61701245)


  1. *** *** Underwater Image Enhancement With *** ***
    Peixian Zhuang*, Qingshan Liu, ***, ***. Preparing for IEEE Transactions on Image Processing:
  2. MGF: An Algorithm for Compressed Sensing MRI With Gradient Domain Guided Image Filtering
    Peixian Zhuang*, Qingshan Liu, Xinghao Ding, and Dimitris N. Metaxas. Submitted to Medical Image Analysis, Under Review:
  3. Underwater Image Enhancement Using An Edge-Preserving Filtering Retinex Algorithm
    Peixian Zhuang*, Xinghao Ding. Submitted to Multimedia Tools and Applications, Major Revision:
  4. Underwater Image Enhancement with a Total Generalized Variation Illumination Prior
    Zhengjie Zhao, Yuxiang Dai, Peixian Zhuang*. Submitted to 2019 IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA): 下载全文
  5. Underwater Image Enhancement based on Dehazing and Color Correction
    ***, Peixian Zhuang*, ***, ***. Submitted to 2019 IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA):
  6. An Enhancing Approach for Typhoon Cloud Image
    Peixian Zhuang*, Haopeng Guo, Yuxiang Dai. Oral Presentation, 2020 International Conference on Image and Graphics Processing (ICIGP): 下载全文
  7. Compressed Sensing MRI with Joint Image-Level and Patch-Level Priors
    Peixian Zhuang*, Xinghao Ding. 2019 IEEE International Conference on Image Processing (ICIP): 2019 ,2080-2084 下载全文
  8. Divide-and-Conquer Framework for Image Restoration and Enhancement(Summary Paper for PhD Thesis!)
    Peixian Zhuang*, Xinghao Ding. Engineering Applications of Artificial Intelligence: 2019 ,85 ,830–844 下载全文
  9. Divide-and-Conquer Framework for Image Restoration and Enhancement
    Peixian Zhuang*, Xinghao Ding. Engineering Applications of Artificial Intelligence, Supplementary File: 2019 ,85 ,830-844 下载全文
  10. Pan-GGF: A Probabilistic Method for Pan-Sharpening With Gradient Domain Guided Image Filtering
    Peixian Zhuang*, Qingshan Liu, and Xinghao Ding. Signal Processing: 2019 ,156 ,177-190 下载全文
  11. MRI Reconstruction with an Edge-Preserving Filtering Prior
    Peixian Zhuang*, Xiaowen Zhu, Xinghao Ding. Signal Processing: 2019 ,155 ,346-357 下载全文
  12. Underwater Image Enhancement Using a Multi-Scale Dense Generative Adversarial Network
    Yecai Guo*, Haiyu Li, Peixian Zhuang. IEEE Journal of Oceanic Engineering: 下载全文
  13. Pansharpening via a gradient-based deep network prior
    Fei Ye, Yecai Guo*, Peixian Zhuang. Signal Processing: Image Communication: 2019 ,74 ,322-331 下载全文
  14. Compressed Sensing MRI via a Multi-scale Dilated Residual Convolution Network
    Yuxiang Dai, Peixian Zhuang*. Magnetic Resonance Imaging: 2019 ,63 ,93-104 下载全文
  15. Pan-sharpening with a Gradient Domain Guided Image Filtering Prior
    Peixian Zhuang*. Oral Presentation, 2019 IEEE International Conference on Signal and Image Processing: 2019 ,1031-1036 下载全文
  16. Underwater Image Enhancement by Gaussian Curvature Filter
    Jiaying Xiong, Yuxiang Dai, Peixian Zhuang*. Oral Presentation, 2019 IEEE International Conference on Signal and Image Processing: ,1026-1030 下载全文
  17. Subspace-based Non-blind Deconvolution
    Peixian Zhuang*, Xinghao Ding and Jinming Duan. 2019 International Conference on Artificial Intelligence and Security,and has been recommended on Mathematical Biosciences and Engineering: 2019 ,4/16 ,2202–2218 下载全文
  18. Removing Stripe Noise from Infrared Cloud Images via Deep Convolutional Networks
    Pengfei Xiao, Yecai Guo*, Peixian Zhuang. IEEE Photonics Journal: 2018 ,4/10 下载全文
  19. Image enhancement using divide-and-conquer strategy
    Peixian Zhuang, Xueyang Fu, Yue Huang, Xinghao Ding*. Journal of Visual Communication and Image Representation: 2017 ,45 ,137-146 下载全文
  20. A Novel Framework Method for Non-Blind Deconvolution Using Subspace Images Priors
    Peixian Zhuang, Xueyang Fu, Yue Huang, Delu Zeng, Xinghao Ding*. Signal Processing : Image Communication: 2016 ,46 ,17-28 下载全文
  21. Non-Blind Deconvolution with L1-Norm of High-Frequency Fidelity
    Peixian Zhuang, Yue Huang, Delu Zeng, Xinghao Ding*. Multimedia Tools and Applications: 2017 ,76/22 ,23607–23625 下载全文
  22. Mixed Noise Removal Based on A Novel Non-parametric Bayesian Sparse Outlier Model
    Peixian Zhuang, Yue Huang, Delu Zeng, Xinghao Ding*. Neurocomputing: 2016 ,174 ,858-865 下载全文
  23. A retinex-based enhancing approach for single underwater image
    Xueyang Fu, Peixian Zhuang, Yue Huang, Yinghao Liao, Xiao-Ping Zhang and Xinghao Ding*. IEEE International Conference on Image Processing (IEEE ICIP): 2014 ,4572-4576 下载全文
  24. Robust Mixed Noise Removal with Non-parametric Bayesian Sparse Outlier Model
    Peixian Zhuang, Wei Wang, Delu Zeng, Xinghao Ding*. IEEE International Workshop on Multimedia Signal Processing (IEEE MMSP): 2014 ,22-24 下载全文
  25. GSO: An improved PSO based on geese flight theory
    Shengkui Dai*, Peixian Zhuang, Wenjie Xiang. International Conference in Swarm Intelligence (ICSI): 2013 ,7928 ,87-95 下载全文
  26. Improved Geese Swarm Optimization Algorithm Based on Gaussian Weighted Sum
    Peixian Zhuang, Shengkui Dai*. Computer Science: 2013 ,40/Z6 ,87-89

Reviewer:  IEEE Transactions on Circuits and Systems for Video Technology

                    EURASIP Journal on Wireless Communications and Networking

                    Signal Processing

                    Pattern Recognition

                    Knowledge-Based Systems

                    IEEE International Conference on Wireless Communications and Signal Processing

                    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

                    2018 International Conference on Artificial Intelligence and Security

                   2019 IEEE International Conference on Multimedia and Expo

                 2019 IEEE International Conference on Signal and Image Processing (Session Chair and TC member)

                   2019 International Conference on Computer Science and Application Engineering

                   2020 International Conference on Image and Graphics Processing (TC member)

         


 

Xueyang Fu:       https://xueyangfu.github.io/

Yue Huang:         https://huangyue05.github.io/

Xinghao Ding:     https://xmu-smartdsp.github.io/teamindex/xhding.html

Delu Zeng:          http://www2.scut.edu.cn/math/2017/1228/c14638a242465/page.htm

Qingshan Liu:     http://web2.nuist.edu.cn:8080/jszy/Professor.aspx?id=1754

Yecai Guo:          http://dxy.nuist.edu.cn/Teacher.aspx?T=001715

Jinming Duan:  https://dblp.uni-trier.de/pers/hd/d/Duan_0001:Jinming

Yunquan Dong:http://dxy.nuist.edu.cn/Teacher.aspx?T=002785

Liyan Sun:        https://lynnsunxmu.github.io/

Email:         zhuangpeixian0624@163.com

Address:     School of Electronic and Information Engineering, Nanjing University of Information

                   Science and Technology, Nanjing, Jiang Su, China

1.  叶飞,2016-2019 硕士,发表1Signal ProcessingImage CommunicationsCCF推荐SCI JCR3区),目前在南京理工大学读博士

2.  李撼宇,2017-2020 硕士,发表1IEEE Journal of Oceanic EngineeringSCI JCR3区),准备去南京大学读博士

3.  戴于翔,2017-2020 硕士,发表1Magnetic Resonance ImagingSCI JCR3区),准备去复旦大学读博士

4. 郭浩彭,2018-2021 硕士,发表1篇 IEEE International Conference onImage and Grphics Processing,并做 Oral Presentation(EI,图像与图形处理国际会议)

5. 熊佳颖,2017-2021 本科,发表1篇 IEEE International Conference on Signal and Image Processing,并做 Oral Presentation(EI,信号与图像处理国际会议)

6. 赵正杰,2016-2020 本科,投稿1篇 IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA),(CCF推荐,EI,应用程序并行和分布式处理国际会议)







The following conditions are preferred:

1. Willing to pursue a doctoral degree! (excellent students can be recommended for a doctoral degree in well-known universities)

2. Self-motivated and hardworking!

3. Good at thinking, and willing to study and overcome difficulties!

4. Good programming ability, high writing level, solid mathematical and English foundations!

更新于:2019-09-15 10:19      累计访问量:2226

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