Mr. Xueyang Zhou | Computer Graphics | Best Researcher Award
Beihang University | China
Dr. Xueyang Zhou is a distinguished researcher and Ph.D. candidate at the School of Computer Science and Engineering, Beihang University (BUAA), specializing in computer graphics, computer vision, 3D reconstruction, inverse rendering, and material reconstruction using machine learning. With a strong academic foundation from the Shenyuan Honors College of Beihang University, where he earned a B.Eng. in Electronic Information Engineering, Dr. Zhou has demonstrated exceptional technical and analytical skills. His scholarly contributions include publications such as “High-resolution SVBRDF estimation based on deep inverse rendering from two-shot images” in The Visual Computer and “MF‐SDF: Neural Implicit Surface Reconstruction using Mixed Incident Illumination and Fourier Feature Optimization” in Computer Graphics Forum. His research has garnered 2 citations, with an h-index of 1 according to Scopus. Dr. Zhou is also the inventor of a national patent on traffic network planning. He has participated in major research projects like the Comprehensive Transportation Big Data Platform and received numerous honors, including the First-class Scholarship in Discipline Competition and Honorable Mention at ICM. His portfolio demonstrates a robust blend of innovation, leadership, and technical proficiency supported by verifiable documents and academic citations.
Profile: Scopus
Featured Publications
-
Li, Z., Shen, X., Hu, Y., & Zhou, X. (2023). High-resolution SVBRDF estimation based on deep inverse rendering from two-shot images. The Visual Computer, 39(10), 4609–4622.
-
Zhou, X., Shen, X., & Hu, Y. (2025). MF‐SDF: Neural implicit surface reconstruction using mixed incident illumination and Fourier feature optimization. Computer Graphics Forum