Prof. Dr. Xue-Yao Gao | Computer Vision and Image Recognition | Best Researcher Award
Professor and Ph.D. Supervisor (Ph.D.), Harbin University of Science and Technology, China
Prof. Dr. Xue-Yao Gao is a Professor and Ph.D. Supervisor at the School of Computer Science and Technology, Harbin University of Science and Technology, where he also serves as Vice Dean and Deputy Director of the Heilongjiang Key Laboratory of Intelligent Information Processing and Applications. He holds a Ph.D. in Computer Application Technology (2009), an M.Sc. in Computer Software and Theory (2006), and a B.Sc. in Computer and Applications (2002), all from Harbin University of Science and Technology. His primary research focuses on computer graphics, CAD, natural language processing (NLP), artificial intelligence (AI), pattern recognition, and deep learning, with particular expertise in 3D model retrieval, multi-view feature fusion, and cross-view optimization strategies. Over his career, Prof. Dr. Xue-Yao Gao has held key academic positions including Professor (2018–present), Associate Professor (2012–2018), and Lecturer (2010–2012) in the School of Computer Science and Technology at Harbin University of Science and Technology. His contributions include over 60 publications, 16 granted invention patents, and leadership of seven funded projects supported by the National Natural Science Foundation of China, Heilongjiang Provincial Natural Science Foundation, Ministry of Education’s Chunhui Program, and corporate collaborations, totaling research funding exceeding 2.6 million yuan. Prof. Dr. Xue-Yao Gao has been recognized with the university’s “Science and Engineering Talent” award and has contributed as editor and co-author to multiple textbooks and monographs. He holds leadership and committee positions in the China Computer Federation and Heilongjiang Computer Society, including Executive Member, Director, Vice Chairman of the Harbin Branch of CCF YOCSEF, and memberships in specialized committees, actively mentoring doctoral and master’s students and fostering youth scientific engagement. His work advances intelligent information processing, enhances 3D modeling and pattern recognition technologies, and promotes innovative AI applications, impacting academia, industry, and society. Author metrics: 53 documents, 124 citations, h-index 6. Prof. Dr. Xue-Yao Gao’s sustained research excellence, innovation in AI and computer graphics, and global collaborative potential make him highly deserving of recognition for advancing science, technology, and education internationally.
Featured Publications
1. Gao, X., Zhang, Y., Zhang, C., & Xue, Y. (2025). 3D model classification based on DRSN and multi-view feature fusion. Expert Systems with Applications, 273, 126872.
2. Gao, X., Yan, S., & Zhang, C. (2024). 3D model classification based on RegNet design space and voting algorithm. Multimedia Tools and Applications, 83, 42391–42412.
3. Gao, X.-Y., Li, K.-P., Zhang, C.-X., & Yu, B. (2021). 3D model classification based on Bayesian classifier with AdaBoost. Discrete Dynamics in Nature and Society, 2021, Article 2154762.
4. Zhang, C.-X., Pang, S.-Y., Gao, X.-Y., Lu, J.-Q., Yu, B., & Jia, Y. (2022). Attention neural network for biomedical word sense disambiguation. Discrete Dynamics in Nature and Society, 2022, Article 6182058.
5. Zhang, C.-X., Shao, Y.-L., & Gao, X.-Y. (2023). Word sense disambiguation based on RegNet with efficient channel attention and dilated convolution. IEEE Access.