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Profile of Associate Professor Huang Shuying

Date:2020-07-18 Click：

Name: Huang Shuying

Title: Associate Professor

Office Phone:

Email: 457060178@qq.com

1. Introduction

Basic Information:

Huang Shuying, female, was born in October 1977. She is a member of IEEE and earned a PhD in Computer Application Technology from Ocean University of China. She currently serves as an associate professor and master supervisor in the School of Software and Internet of Things Engineering, Jiangxi University of Finance and Economics.

Research Directions: Image Processing, Machine Learning and Pattern Recognition

Work Experience:

Lecturer and Associate Professor, Jiangxi University of Finance and Economics

Postdoctoral Fellow, University of Electronic Science and Technology

2. Honors:

“Top 10 Excellent Postgraduate Tutors” of Jiangxi University of Finance and Economics

ISITC 2019 Best Paper Award

First Prize in Hazy Image Recovering Track of ICIP 2019

3. Research Achievements

Projects Hosted:

1. National Natural Science Foundation of China Research on Key Technologies of Image Super-resolution Reconstruction Based on Generative Adversarial Networks (No. 61862030, 2019.1-2022.12)

2. National Natural Science Foundation of China Research on Key Technologies of Image Super-resolution Reconstruction in Intelligent Video Monitoring (No. 61462031, 2015.1-2018.12)

3. Key Project of Jiangxi Natural Science Foundation Research on Key Technologies of Image Super-resolution of Deep Residual Network Based on Visual Attention Mechanism (No. 20192ACBL21008, 2019.1-2021.12)

4. General Project of Jiangxi Natural Science Foundation Multimodal Medical Image Super-resolution and Fusion Based on Low Rank Matrix Decomposition (No. 20181BAB202010, 2018.1-2020.12)

5. Science and Technology Project of the Education Department of Jiangxi Province Research on Image Super-resolution Reconstruction Technology Based on Multi-scale Residual Depth CNN Model (No. GJJ170318, 2018.1-2019.12)

6. Science and Technology Project of the Education Department of Jiangxi Province “Research on Key Technologies of Super-resolution Image Reconstruction Based on Adaptively Coupled Partial Differential Equation” (No.GJJ150461, 2016.1-2017.12)

Papers:

1. Shuying Huang, et al., “Robust Single-Image Super-Resolution Based on Adaptive Edge-Preserving Smoothing Regularization”, IEEE Transactions on Image Processing, vol. 27, no.6, pp. 2650-2663, 2018. (SCI, IF: 6.790)

2. Shuying Huang, et al., “Multi-Frame Image Super-Resolution Reconstruction Based on Spatial Information Weighted Fields of Experts”, Multidimensional Systems and Signal Processing, vol. 31, no.1, pp. 1-20, 2020. (SCI, IF: 2.338)

3. Shuying Huang, et al., “Deep Quantification Down-Plain-Upsampling Residual Learning for Single Image Super-Resolution”, International Journal of Machine Learning and Cybernetics, DOI: 10.1007/s13042-020-01083-w, 2020. (SCI, IF: 3.844)

4. Shuying Huang, et al., “Image Dehazing Based on Robust Sparse Representation”, IEEE Access, vol. 6, pp. 53907-53917, 2018. (SCI, IF: 4.098)

5. Shuying Huang, et al., “Multi-Frame Super-Resolution Reconstruction Based on Gradient Vector Flow Hybrid Field”, IEEE Access, vol. 5, pp. 21669-21683, 2017. (SCI, IF: 4.098)

6. Shuying Huang, et al., “Anisotropic Fourth-Order Diffusion Regularization for Multiframe Super-resolution Reconstruction”, Journal of Central South University, vol. 20, no. 11, pp. 3180-3186, 2013. (SCI, IF: 0.973)

7. Shuying Huang, et al., “Super-Resolution Reconstruction Sensor Using Adaptively Combined Partial Differential Equations”, Sensor Letters, vol. 11, no. 11, pp. 2126-2130, 2013. (SCI, IF: 0.558)

8. Shuying Huang, “An Effective Fourth-order Partial Differential Equations Based Algorithm for Super-resolution Image Reconstruction”, International Journal of Advancements in Computing Technology, vol. 4, no. 19, pp. 644-652, 2012. (EI)

9. Shuying Huang, et al., “An Improved PDE Based Super-Resolution Reconstruction Algorithm”, Procedia Engineering, vol. 29, pp. 2838-2842, 2012. (EI)

10. Shuying Huang, et al., “AFOD Regularization for Super-resolution Reconstruction”, Procedia Engineering, vol. 24, pp. 1-5, 2011. (EI)