Profile

I am a Lecturer in the Department of Artificial Intelligence, School of Computer Science and Technology, Huaqiao University, and an IEEE Senior Member. I received my Ph.D. in Computer Science and Technology from Shaanxi Normal University in 2025, where I conducted doctoral research from 2021 to 2025. I also earned a Master’s degree in Computer Technology from Xi’an Jiaotong University in 2019.

My research interests include pattern recognition, computer vision, and machine learning, with a particular emphasis on the integration of these technologies with cultural and artistic imagery. To date, I have published more than 10 papers in internationally recognized journals, such as IEEE TVCG and ESWA, as well as leading conferences including ICCV, AAAI, and WACV. In addition, I have participated in several major research projects funded by the National Key Research and Development Program of China and the National Natural Science Foundation of China.

Publication List: Google Scholar & DBLP

[1]Rui Yang, Xiaojun Wu, and Shengfeng He. MixSA: Training-free Reference-based Sketch Extraction via Mixture-of-Self-Attention[J]. IEEE Transactions on Visualization and Computer Graphics (TVCG), 2025, 31(9): 6208-6222.  DOI:10.1109/TVCG.2024.3502395 

[2]Rui Yang, Kaoru Ota, Mianxiong Dong, and Xiaojun Wu. Semantic Layout-Guided Diffusion Model for High-Fidelity Image Synthesis in “The Thousand Li of Rivers and Mountains”[J].Expert Systems With Applications (ESWA), 2025, 263: 125645. DOI:10.1016/j.eswa.2024.125645  

[3]Rui Yang, Honghong Yang, Min Zhao, Ru Jia, Xiaojun Wu, and Yumei Zhang. Special Perceptual Parsing for Chinese Landscape Painting Scene Understanding: A Semantic Segmentation Approach[J]. Neural Computing and Applications (NCAA), 36, 5231–5249(2024). DOI:10.1007/s00521-023-09343-w  

[4]Rui Yang, Honghong Yang, Li Zhao, Qin Lei, Mianxiong Dong, Kaoru Ota, and Xiaojun Wu. One-Shot Reference-based Structure-Aware Image to Sketch Synthesis[C]. The Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI 2025), Philadelphia, PA, USA, February 25-March 4, 2025. DOI:10.1609/aaai.v39i9.33000

[5]Rui Yang, Huining Li, Yiyi Long, Xiaojun Wu, and Shengfeng He. Stroke2sketch: Harnessing stroke attributes for training-free sketch generation[C]. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025: 16545-16554.  DOI:

[6]Huining Li, Bangzhen Liu, Rui Yang, Yang Zhou, Chenshu Xu, Xufang Pang, and Shengfeng He. VideoSketcher: A Training-Free Approach for Coherent Video SketchTransfer[C]. IEEE Winter Conference on Applications of Computer Vision (WACV), 2026. (Oral Presentation)   

[7]Qin Lei, Rui Yang, Jiang Zhong, Rongzheng Li, Muyang He, Mianxiong Dong, Kaoru Ota. Expanding Crack Segmentation Dataset with Crack Growth Simulation and Feature Space Diversity[C]. The IEEE International Conference on Multimedia and Expo (ICME 2024), Niagra Falls, Canada, July 15-19, 2024. DOI:10.1109/ICME57554.2024.10688181

[8]Jia, Ru, Li Zhao, Rui Yang, Honghong Yang, Xiaojun Wu, Yumei Zhang, Peng Li, and Yuping Su. Hfa-gtnet: Hierarchical fusion adaptive graph transformer network for dance action recognition[J]. Journal of Visual Communication and Image Representation 98 (2024): 104038. DOI:10.1016/j.jvcir.2023.104038

[9]Yiyi Long, Chenxi Zheng, Chenshu Xu, Rui Yang, Jingxin Liang, Chuhua Xian, and Shengfeng He. SketchCrafter: Sketch Extraction as a Training-Free Generative Process[J]. Computer Graphics Forum e70484. DOI:10.1111/cgf.70484