杨瑞，男，华侨大学计算机科学与技术学院人工智能系讲师，博士毕业于陕西师范大学计算机科学学院，硕士毕业于西安交通大学计算机科学与技术学院。博士期间在日本室兰工业大学开展博士生联合培养项目，与国内外前沿科研机构长期进行合作研究。

近年来主要研究方向为模式识别、计算机视觉与机器学习，聚焦于文化艺术图像与科技融合领域，已在国际知名期刊和会议（IEEE TVCG, ESWA, AAAI, ICCV等）发表论文十余篇，其中一作论文5篇，发明专利3项。参与多项国家重点研发计划及国家自然科学基金项目。

[1]Rui Yang, Xiaojun Wu, and Shengfeng He. MixSA: Training-free Reference-basedSketch Extraction via Mixture-of-Self-Attention.IEEE Transactions on Visualizationand Computer Graphics (TVCG), 2025. (中科院一区TOP、CCF A类期刊，IF= 5.1).

[2]Rui Yang, Kaoru Ota, Mianxiong Dong, Xiaojun Wu, "Semantic Layout-Guided Diffusion Model for High-Fidelity Image Synthesis in ‘The Thousand Li of Rivers and Mountains’," Expert Systems with Applications (Elsevier), vol. 263, Article No. 125645, March 2025.

(中科院一区TOP期刊，IF= 7.6).

[3]Rui Yang, Honghong Yang, Min Zhao, Ru Jia, Xiaojun Wu, Yumei Zhang. Special perceptual parsing for Chinese landscape painting scene understanding: a semantic segmentation approach”, Neural Computing & Applications (NCAA) (中科院三区、CCF C类期刊，IF= 4.7).

[4]Rui Yang, Honghong Yang, Li Zhao, Qin Lei, Mianxiong Dong, Kaoru Ota, Xiaojun Wu, "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类会议论文).

[5]Rui Yang, Huining Li, Yiyi Long, Xiaojun Wu, andShengfeng He. Stroke2Sketch: Har-nessing Stroke Attributes for Training-Free Sketch Generation.International Conferenceon Computer Vision (ICCV), 2025.(CCF A类会议论文).

[6]Huining Li, Bangzhen Liu, Rui Yang, Yang Zhou, Chenshu Xu, Xufang Pang, andShengfeng He. VideoSketcher: A Training-Free Approach for Coherent Video SketchTransfer.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, The IEEE International Conference on Multimedia and Expo (ICME 2024), Niagra Falls, Canada, July 15-19, 2024

[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." Journal of Visual Communication and Image Representation 98 (2024): 104038.

[1] 日本室兰工业大学       计算机科学与技术       博士联合培养       博士学位

[2] 陕西师范大学       计算机科学与技术       博士研究生       博士学位

[3] 西安交通大学       计算机技术       硕士研究生       硕士学位

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