Yiling Tang, Ph.D., is an Associate Professor and Master's Supervisor in the Department of Computer Science and Technology at Nanchang University. Since joining the faculty in September 2003, she has dedicated her career to research in image processing. Dr. Yiling Tang has a robust publication record, serving as the first or corresponding author for numerous papers indexed in SCI and EI. Her research is supported by a strong portfolio of competitive grants; she is currently the Principal Investigator (PI) of a National Natural Science Foundation of China (NSFC) project and has contributed to multiple national and provincial-level research initiatives.

Education:

1996.09 – 2000.07: Northwest University, Computer Science and Applications, Bachelor

2004.09 – 2007.07: Nanchang University, Computer Application Technology, Master

2014.09 – 2019.12: Nanchang University, Information Management and Information Systems, Ph.D.

Professional Experience:

Jul. 2000 – Sep. 2003: Xi’an Tangdu Scientific & Educational Instrument Co., Ltd.

Sep. 2003 – Present: Nanchang University

Research Project:

[1] National Natural Science Foundation of China (NSFC): No-Reference Stereoscopic Image Quality Assessment Based on Visual Perception Characteristics and Deep Learning (Principal Investigator).
[2] National Natural Science Foundation of China (NSFC): No-Reference Stereoscopic Image Quality Assessment Based on Multivariate Natural Scene Statistics and Local Mean Estimation (Participant).

Research paper:

[1] XU S, WANG Z, TANG Y*, et al. No-reference stereoscopic image quality assessment inspired by binocular rivalry [J/OL]. Computer Engineering, 2025-05-19 [published online ahead of print]. (in Chinese)

[2] TANG Y, JIANG S, XU S, et al. Asymmetrically distorted stereoscopic image quality assessment considering binocular rivalry visual phenomena [J]. Journal of Image and Graphics, 2023, 28(10): 3049–3063. (in Chinese)

[3] XU S, CHEN X, TANG Y*, et al. Learning from Multiple Instances: A Two-Stage Unsupervised Image Denoising Framework Based on Deep Image Prior[J]. Applied Sciences, 2022, 12(10): 10767.

[4] TANG Y, JIANG S, XU S, et al. Asymmetric distortion stereoscopic image quality assessment based on ocular dominance principle [J]. Acta Automatica Sinica, 2019, 45(11): 2092–2106. (in Chinese)

[5] TANG Y, JIANG H, XU S,et al. Blind image quality assessment based on multi-window method and HSV color space. Applied Sciences, 2019, 9(12): 2499.

[6] TANG Y, JIANG S, XU S. Stereoscopic image quality assessment algorithm based on statistical characteristics of unmatched subband synthesis coefficients [J]. Journal of Optoelectronics · Laser, 2019, 30(3): 298–309. (in Chinese)

[7] TANG Y, JIANG S, XU S. An improved BRISQUE algorithm based on non-zero-mean generalized Gaussian model and global structural correlation [J]. Journal of Computer-Aided Design & Computer Graphics, 2018, 30(2): 298–308. (in Chinese)

[8] XU, S., ZENG, X., TANG, Y.*, et al. Noise level estimation algorithm based on multi-image prior knowledge. Journal of Computer Research and Development, 2018, 55(12), 2741–2752. (in Chinese)

[9] TANG Y, JIANG S, YE F, et al. Optimal particle-enhanced exploration particle swarm optimization [J]. Computer Engineering and Applications, 2017, 53(4): 25–32, 38. (in Chinese)

Email: tangyiling@ncu.edu.cn