WANG Guoyou is a full professor with the School of Artificial Intelligence and Automation, HUST. He received the B.S. and M.S. degrees in Radio Technology and Pattern Recognition and Intelligent System, respectively, from HUST, Wuhan, China. He also had worked in the Optical Fiber Teaching and Research Section of the Department of Optics for one year. He is engaged in research of imaging precision guidance, digital image compression, medical image analysis, biometric identification, license plate recognition, industrial detection, comprehensive test, and comprehensive control algorithm simulation, system architecture and application, system optimization, and design technology.

Selected academic papers:

l Sheng Yang, Ziqiang Pei, Feng Zhou, and Guoyou Wang. 2020. Rotated Faster R-CNN for Oriented Object Detection in Aerial Images. In Proceedings of the 2020 3rd International Conference on Robot Systems and Applications (ICRSA 2020). Association for Computing Machinery, New York, NY, USA, 35–39.

l Anna Zhu, Guoyou Wang, and Yangbo Dong. 2015. Detecting natural scenes text via auto image partition, two-stage grouping and two-layer classification. Pattern Recogn. Lett. 67, P2 (December 2015), 153–162.

l Jiangmin Tian, Ran Wang, Guoyou Wang, Jianguo Liu, and Yuanchun Xia. 2015. A two-stage character segmentation method for Chinese license plate. Comput. Electr. Eng. 46, C (August 2015), 539–553.

l Ziqiang Pei, Sheng Yang, and Guoyou Wang "Feature guidance GAN for high quality image restoration", Proc. SPIE 11519, Twelfth International Conference on Digital Image Processing (ICDIP 2020), 115190L (12 June 2020)

l Yuanchun Xia, Guoyou Wang, Ran Wang, and Feng Zhou "A cascaded method for transmission tower number recognition in large scenes", Proc. SPIE 11430, MIPPR 2019: Pattern Recognition and Computer Vision, 114301D (14 February 2020)