Professor at Hebei MINZU Normal University, China
Yanming Zhao is a distinguished Professor at Hebei University of Nationalities, specializing in visual computing and deep neural networks. With a commitment to advancing technology and innovation, he has made significant contributions to the field of computer application technology, evidenced by his extensive research and numerous publications. 🌟
Profile
Scopus Profile
Education🎓
Yanming graduated with a Master’s degree in Computer Application Technology from the School of Information at Shenyang University of Technology in 2010. His academic background laid a solid foundation for his future research endeavors and leadership in academia.
Experience🏛️💼
As a Master’s Supervisor and experienced researcher, Professor Zhao has participated in over nine provincial-level research projects and has consulted on over 500 industry projects. His work not only showcases his expertise but also his dedication to bridging the gap between academia and industry.
Research Interests🔬📈
Professor Zhao’s research primarily focuses on visual computing and deep neural networks. He has developed innovative algorithms, including the visual selectivity-based 3D graph convolutional algorithm (VS-3DGCN), aimed at enhancing point cloud segmentation performance and addressing key challenges in 3D graph convolutional algorithms.
Awards 🏆
Throughout his career, Yanming has received numerous accolades, including the title of Excellent Scientific and Technological Worker in Hebei Province and Outstanding Expert Managed by Chengde City. These awards reflect his significant contributions to the scientific community and his leadership in research.
Publications
Professor Zhao has published more than 30 academic papers in esteemed journals, such as:
- Multi-channel depth segmentation network based on 3D graph convolution algorithm and its application in point cloud segmentation
- Authors: Zhao, Y.
- Journal: Alexandria Engineering Journal
- Year: 2024
- Citations: 0
- The Multi-View Deep Visual Adaptive Graph Convolution Network and Its Application in Point Cloud
- Authors: Fan, H., Zhao, Y., Su, G., Zhao, T., Jin, S.
- Journal: Traitement du Signal
- Year: 2023
- Citations: 4
- Graph Convolution Algorithm Based on Visual Selectivity and Point Cloud Analysis Application
- Authors: Zhao, Y., Su, G., Yang, H., Jin, S., Yang, J.
- Journal: Traitement du Signal
- Year: 2022
- Citations: 2
- Slow Feature Extraction Algorithm Based on Visual Selection Consistency Continuity and Its Application
- Authors: Yang, H., Zhao, Y., Su, G., Fan, H., Shang, Y.
- Journal: Traitement du Signal
- Year: 2021
- Citations: 0
- Design and application of a slow feature algorithm coupling visual selectivity and multiple long short-term memory networks
- Authors: Zhao, Y., Yang, H., Su, G.
- Journal: Traitement du Signal
- Year: 2021
- Citations: 1
These contributions have garnered a total citation index of 102 times, illustrating the impact of his work on the research community. 📚🔗
Conclusion🌍✨
In summary, Professor Yanming Zhao stands out as a leading figure in the fields of visual computing and deep learning. His extensive research, numerous publications, and accolades make him a deserving candidate for the Best Researcher Award. His ongoing commitment to innovation and excellence continues to inspire colleagues and students alike.