yangfei
Associate Professor
2003年本科毕业于哈尔滨工业大学计算机应用技术专业，2006年硕士毕业于哈尔滨工业大学机电工程专业，2012年博士毕业于哈尔滨工业大学计算机应用技术专业。攻读博士期间于2010年至2011年公派留学至曼彻斯特大学。现任山东大学（威海）机电与信息工程学院副教授、硕士生导师，研究领域包括机器学习、计算机视觉、三维数据可视计算、虚拟心脏体绘制等。主持参与国家级项目4项，省部级项目8项，主持市级项目2项，企业合作项目3项。累计发表SCI/EI论文40余篇，申请发明专利2项。目前担任... More+
Scientific Research
Working-Papers
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Paper Publications
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PSVT: Pyramid Shifted Window based Vision Transformer for cardiac image segmentation. Biomedical Signal Processing and Control（中科院2区，IF 4.9）, 2025.
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Enhanced Feature Refinement Network Based on Depthwise Separable Convolution for Lightweight Image Super-Resolution. Symmetry, 2024.
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MSMHSA-DeepLab V3+: An Effective Multi-Scale, Multi-Head Self-Attention Network for Dual-Modality Cardiac Medical Image Segmentation. Journal of Imaging, 2024.
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Improved skeleton-based activity recognition using convolutional block attention module. Computers and Electrical Engineering, 2024.
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Cardiac Biophysical Detailed Synergetic Configuration Rendering and Visible Correlation. Frontiers in Physiology（中科院2区，IF 4.755）, 2023.
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Boundary equilibrium SR: effective loss functions for single image super-resolution. Applied Intelligence（中科院2区，IF 5.019）, 2023.
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In silico assessment of pharmacotherapy for carbon monoxide induced arrhythmias in healthy and failing human hearts. Frontiers in Physiology, 2023.
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Computational Analysis of Arrhythmogenesis in KCNH2 T618I Mutation-Associated Short QT Syndrome and the Pharmacological Effects of Quinidine and Sotalol. npj Systems Biology and Applications, 2023.
Patents
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Published Books
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Research Projects
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多尺度虚拟心脏解剖和功能建模与可视化技术研究, The 863 Program, 2007-03-01
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大规模的多尺度和多模态虚拟心脏计算与可视化方法研究, National Natural Science Foundation of China (NSFC), 2011-08-20
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指纹数据库难易度估计及其在自动指纹识别系统性能评估中应用的研究, Provincial municipal and autonomous regional science and technology projects, 2014-12-01
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基于海量数据的心脏多模态动态计算可视化方法研究, Technology programs of the Government Departments, 2015-05-01
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分布计算环境下“膝”区原初宇宙线成分分辨算法研究, Provincial municipal and autonomous regional science and technology projects, 2015-07-01
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心脏的多形态耦合与层级级联计算可视化方法的研究, National Natural Science Foundation of China (NSFC), 2015-08-30
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计算机视觉底层特征表示及显著性检测方法的改进, Provincial municipal and autonomous regional science and technology projects, 2016-10-11
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基于深度学习的矮新星自动搜索研究, Provincial municipal and autonomous regional science and technology projects, 2017-07-04
Research Team
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