Name: Wang Yanzhao
Gender: Male
Professional Title: Lecturer
Degree: Ph.D.
Education and Work Experience:
1. December 2019–present, School of Electronic Information, Zhongyuan University of Technology
2. September 2012–December 2019, School of Science, Northwestern Polytechnical University; Master's in Computational Mathematics and Ph.D. in Applied Mathematics
3. September 2007–June 2012, Bachelor's degree in Information and Computing Science, School of Mathematics and Information Science, Henan Normal University
Research Directions:
1. Image and video processing and computer vision
2. Pattern recognition and artificial intelligence
Academic Research Project:1. Henan Department of Education Key Research Project: Research on Salient Object Detection in Remote Sensing Imagery Based on Multidimensional Self-Attention Mechanisms, January 2023–December 2024 (ongoing according to source), Principal Investigator.
Representative Papers:
1. Y. Wang, T. Zhou, Z. Li, H. Huang, B. Qu. Salient object detection based on multi-feature graphs and improved manifold ranking. Multimedia Tools and Applications, 2022.
2. H. Huang, P. Liu, Y. Wang*, C. Tong, Q. Bo, A. Tao, H. Zhang. Multi-feature Aggregation Network for Salient Object Detection. Signal, Image and Video Processing, 2022.
3. Y. Wang, G. Peng. Salient object detection via incorporating multiple manifold ranking. Signal, Image and Video Processing, 2019.
4. Y. Wang, G. Peng, M. Zhou. Saliency detection by hierarchically integrating compactness, contrast and boundary connectivity. Multimedia Tools and Applications, 2018.
5. Y. Wang, G. Peng. Salient object detection based on compactness and foreground connectivity[J]. Machine Vision and Applications, 2018.
6. Zhou Tongchi, Zhang Hao, Qu Boyang, Wang Yanzhao, Tao Aimin. Research on Human Activity Recognition Using Hough Transform of Skeletal Features. Application Research of Computers, 2021.
7. Wang Yanzhao, Peng Guohua, Yan Weidong. Salient Object Detection Based on Manifold Ranking and Joint Connectivity Priors. Pattern Recognition and Artificial Intelligence, 2019.
Contact:
Email: wangyzzut@163.com
