汪飞博士，2019年毕业于中山大学数据科学与计算机学院，获工学博士学位；2019年起在汕头大学工学院计算机系任教。主要研究方向为人工智能、计算机视觉、计算机图形学，包括图像分割，医学图像处理，信息检索，流体模拟等。发表代表性论文多篇，包括Neurocomputing，Computer Graphics Forum(CGF)，Siggraph，IEEE International Conference on Multimedia and Expo (ICME)等会议和期刊。邮箱：wangfei@stu.edu.cn
1、Fei Wang, Shujin Lin, Xiaonan Luo, Hefeng Wu, Ruomei Wang, Fang Zhou. A Data-Driven Approach for Sketch-Based 3D Shape Retrieval via Similar Drawing-Style Recommendation[J]. Computer Graphics Forum, 2017, 36(7):157-166.
2、Fei Wang, Shujin Lin, Hanhui Li, Hefeng Wu, Tie Cai, Xiaonan Luo, Ruomei Wang:
Multi-column point-CNN for sketch segmentation. Neurocomputing 392: 50-59 (2020).
3、Wang, Fei; Lin, Shujin; Luo, Xiaonan; Zhao, Baoquan; Wang, Ruomei; "Query-by-sketch image retrieval using homogeneous painting style characterization", Journal of Electronic Imaging, v 28, n2, March 1, 2019.
4、Fei Wang, Shujin Lin, Xiaonan Luo, Ruomei Wang. Coupling Computation of Density-Invariant and Divergence-Free for Improving Incompressible SPH Efficiency. IEEE Access.
5、Fei Wang, Shujin Lin, Hefeng Wu, Xiaonan Luo. Data-driven method for sketch-based 3D shape retrieval based on user similar draw-style recommendation[C]. SIGGRAPH Asia Posters. ACM, 2016.
6、Fei Wang, Shujin Lin, Ruomei Wang, Xiaonan Luo. Improving incompressible SPH simulation efficiency by integrating density-invariant and divergence- free conditions
. SIGGRAPH Posters. ACM, 2018.
7、Fei Wang, Shujin Lin, Hefeng Wu, Hanhui Li, Ruomei Wang, Xiaonan Luo, Xiangjian He:SPFusionNet: Sketch Segmentation Using Multi-modal Data Fusion. ICME 2019: 1654-1659.
8、陈旭游，王若梅，林淑金，汪飞，罗笑南。基于Gillesple方法的血栓模拟方法 《计算机辅助设计与图形学学报》.
9、Fei Wang,A Deep Learning Based Approach for Automatic Reconstructing 3D Shape From Single-View Sketch.Wireless Communications and Mobile Computing.
10、Fei Wang, Kan He, Long Jian. Jordan semi-triple maps on Hilbert space effect algebras. International Conference on Communication Technology (Vol.51, pp.1345-1352).
11、Junkun Jiang, Ruomei Wang, Shujin Lin, Fei Wang: SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks. IJCNN 2019: 1-8.
12、Long Jian, Kan He, Qing Yuan,Fei Wang. On partially trace distance preservingmaps andreversible quantum channels. Journal of AppliedMathematics, 2013:4819-4828.


科研项目
广东省普通高校青年创新人才类项目，“基于光滑流体动力学的血液生化反应的模拟方方法研究”，项目编号：2019GKQNCX120
基于手绘草图的可视媒体资源交互和合成的方法研究
汕头大学科研启动项目，深度神经网络的三维模型生成与优化方法研究


专利：
(1)汪飞; 林淑金; 罗笑南; 周凡; 基于保密度和无散度的不可压缩流体的模拟方法及系统, 2018-9-7, 中国, 20**.
(2)汪飞; 林淑金; 周凡; 姜俊锟; 一种基于手绘轮廓图匹配的图像检索方法及系统, 2018-9-8, 中国, 20**.