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Profile of Professor Yang Yong

Date:2020-07-18 Click：

Name: Yang Yong

Title: Professor

Office Phone: 0791- 83983830

Email: greatyang@foxmail.com

1. Introduction

Basic Information:

Yang Yong, male and born in October 1976, earned a PhD at Xi'an Jiaotong University in 2005 and currently works as a professor and doctoral supervisor at the School of Information Management, Jiangxi University of Finance and Economics. Additionally, he is a candidate of Jiangxi “Double Thousand Plan” and the Hundred-Thousand-Ten Thousand Talents Project in Jiangxi Province, a young scientist of Jiangxi province, an IEEE senior member, and a CCF (China Computer Federation) senior member.

Research Directions: Image Processing, Pattern Recognition, Artificial Intelligence

2. Teaching Experience

Courses Taught:

Object-oriented Programming

Multimedia Technology and Application

Digital Image Processing

Excellent Courses:

Object-Oriented Programming (National Bilingual Teaching Demonstration Course)

Honors:

Top Ten Excellent Teachers, JUFE

Gold Medal Teacher, JUFE

Teaching Award for Young Teachers

3. Research Achievements

Projects Hosted:

1．National Natural Science Foundation of China Research on Low Redundant DWFT Image Fusion Based on Salient Features and Its Evaluation Method (No. 61662026).

2．National Natural Science Foundation of China Research on Multimodal Medical Image Fusion Method Based on PCA and Second Generation Curvelet Transformation (No. 61262034).

3．National Natural Science Foundation of China “Research on Segmentation Method of Brain Magnetic Resonance Image Based on Fuzzy and Kernel Clustering Algorithm” (No. 60963012).

4．Key Science and Technology Research Project of the Ministry of Education Research on Key Technologies of Double Tree Complex Wavelet Image Fusion Based on Visual Perception (No.211087).

5．Special Funding Project of China Postdoctoral Science Foundation Research on Adaptive Fundus Retinal Image Segmentation and Registration Technology (No. 200902614).

6．General Project of China Postdoctoral Science Foundation The Application of Fuzzy Clustering and Its Kernel Method in Brain MR Image Segmentation (No. 20080431277).

7．General Project of Jiangxi Natural Science Foundation Research on Image Fusion Technology Based on Low-redundant DWFT and Human Visual Perception Characteristics (No. 20151BAB207033).

Papers:

1．Yong Yang, et al., “Multi-level Features Convolutional Neural Network for Multi-focus Image Fusion”, IEEE Transactions on Computational Imaging, vol. 5, No. 2, pp. 262-273, 2019.

2．Yong Yang, et al., “Multi-Exposure Estimation and Fusion Based on A Sparsity Exposure Dictionary”, IEEE Transactions on Instrumentation and Measurement, DOI: 10.1109/TIM.2019.2951864, 2019.

3．Yong Yang, et al., “Multilevel and Multiscale Network for Single-Image Super-Resolution”, IEEE Signal Processing Letters, vol. 26, No. 12, pp. 1877-1881, 2019.

4．Yong Yang, et al., “Remote Sensing Image Fusion Based on Fuzzy Logic and Salience Measure”, IEEE Geoscience and Remote Sensing Letters, DOI: 10.1109/LGRS.2019.2956286, 2019.

5．Yong Yang, et al., “Multimodal Medical Image Fusion Based on Fuzzy Discrimination with Structural Patch Decomposition”, IEEE Journal of Biomedical and Health Informatics, vol. 23, No. 4, pp. 1647-1660, 2019.

6．Yong Yang, et al., “Multi-Focus Image Fusion Based on a Non-Fixed-Base Dictionary and Multi-measure Optimization”, IEEE Access, vol. 7, pp. 46376-46388, 2019.

7．Yong Yang, et al., “Pansharpening for Multi-band Images with Adaptive Spectral-Intensity Modulation”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 11, No. 9, pp. 3196-3208, 2018.

8．Yong Yang, et al., “Compensation Details Based Injection Model for Remote Sensing Image Fusion”, IEEE Geoscience and Remote Sensing Letters, vol.15, No.5, pp.734-738, 2018.

9．Yong Yang, et al., “Multiple Visual Features Measurement with Gradient Domain Guided Filtering for Multisensor Image Fusion”, IEEE Transactions on Instrumentation and Measurement, vol. 66, No. 4, pp. 691-703, 2017.

10．Yong Yang, et al., “Multimodal Sensor Medical Image Fusion Based on Type-2 Fuzzy Logic in NSCT Domain”, IEEE Sensors Journal, vol. 16, No. 10, pp. 3735-3745, 2016.