Rui Yang, male, is a Lecturer in the Department of Artificial Intelligence, College of Computer Science and Technology, Huaqiao University. He received his Ph.D. from the College of Computer Science, Shaanxi Normal University, and his Master's degree from the School of Computer Science and Technology, Xi'an Jiaotong University. During his doctoral studies, he participated in a Joint PhD Training Program at Muroran Institute of Technology, Japan. He maintains long-term collaborative research with leading domestic and international research institutions.

In recent years, his primary research focuses on "pattern recognition, computer vision, and machine learning", specifically concentrating on the integration of technology with cultural and artistic images. He has published over ten papers in internationally renowned journals and conferences (including IEEE Trans., ESWA, AAAI, ICCV, etc.), including 5 first-author papers, and holds 3 invention patents. He has participated in multiple National Key R&D Programs and National Natural Science Foundation of China projects.

First-author Publications:

[1] "MixSA: Training-free Reference-based Sketch Extraction via Mixture-of-SelfAttention", Transactions on Visualization and Computer Graphics (TVCG) (CAS Zone 1 TOP journal, CCF-A, IF=5.1).

[2] "Semantic Layout-Guided Diffusion Model for High-Fidelity Image Synthesis in ‘The Thousand Li of Rivers and Mountains’", Expert Systems With Applications (ESWA) (CAS Zone 1 TOP journal, IF=7.6).

[3] "Special perceptual parsing for Chinese landscape painting scene understanding: a semantic segmentation approach", Neural Computing & Applications (NCAA) (CAS Zone 3, CCF-C, IF=4.7).

[4] "One-Shot Reference-based Structure-Aware Image to Sketch Synthesis", The Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI 2025), Philadelphia, PA, USA, February 25 - March 4, 2025. (CCF-A Conference Paper).

[5] "Stroke2Sketch: Harnessing Stroke Attributes for Training-Free Sketch Extraction", International Conference on Computer Vision (ICCV 2025). (CCF-A Conference Paper).