孙广玲

学历: 博士研究生

职称: 副教授

学科专长:计算机视觉,深度学习,信息安全

所属学科方向(团队):视频与空间信息团队

办公室: T337

联系电话: 13564031679

Email:sunguangling@shu.edu.cn

个人简介(简历)

    硕士学位的专业是模式识别与智能控制。博士学位的专业是计算机应用技术。

2013-12至2014-12, 美国马里兰大学帕克分校, 计算机视觉实验室,计算机科学系 合作导师Yiannis   Aloimonos教授, 访问学者。

科研方向

学术研究方面的研究方向:深度神经网络在视觉领域的安全性研究,协同式深度学习的安全性研究。

工程应用方面的研究方向:多种工业场景中的人的智能分析,工业生产线上的多种对象缺陷检测。

本科生教学

专业基础课程:《信号与系统》,《数字信号处理》    

研究生培养

面向学术硕士的授课:《数字图像处理》

指导学术硕士生和专业硕士生的各项科研工作,撰写SCI论文。

指导研究生电子设计竞赛。

承担或参与的科研项目

(1)主持上海市自然科学基金项目: 真实场景中的2D/3D多模态人脸识别研究

(2)参与国家自然科学基金面上项目:面向复杂图像与视频的   高性能显著性检测研究

学术论文及授权发明专利

[1] Guangling Sun, Yuying Su,Xiaofeng   Lu*. Complete Defense Framework to Protect Deep Neural Networks against Adversarial   Examples. Mathematical Problems in Engineering.2020.

[2] Weiqi Fan,   Guangling Sun*, Yuying Su, Zhi Liu, Xiaofeng Lu. Integration of Statistical   Detector and Gaussian Noise Injection Detector for Adversarial Example   Detection in Deep Neural Networks. Multimedia Tools and Applications, 2019,   78(14):20409-20429.

[3] Weiqi Fan,   Guangling Sun*, Yuying Su, Zhi Liu, Xiaofeng Lu. Hybrid Defense for Deep   Neural Networks: An Integration of Detecting and Cleaning Adversarial   Perturbations. In IEEE International Conference on Multimedia and Expo   Workshops(ICMEW),pp:210-215,2019.

[4] Yuying Su,   Guangling Sun*, Weiqi Fan. Cleaning Adversarial Perturbations via Residual Generative   Networks for Face Verification.In International Conference on   Acoustics,Speech, and Signal Processing(ICASSP),pp:2597-2601,2019.

[5] Weiqi Fan,   Guangling Sun*, Xiaobao Deng. RGN-Defense: Erasing Adversarial Perturbations   Using Deep Residual Generative Network. Journal of Electronic   Imaging,2019,28(1),013027.

[6] Jingru   Ren, Zhi Liu*, Xiaofei Zhou, Guangling Sun, Cong Bai. Saliency Integration   Driven by Similar Images. Journal of Visual Communication and Image   Representation,2018,50:227-236.

[7] Rui   Huang*, Weidong Jiang, Guangling Sun. Manifold-based Constraint Laplacian   Score for Multi-label Feature Selection. Pattern Recognition Letters,   2018,112:346-352.

[8] Xiaofei   Zhou, Zhi Liu*, Kai Li, Guangling Sun. Video saliency detection via   bagging-based prediction and spatiotemporal propagation, Journal of Visual   Communication and Image Representation,2018,(51):131-143.

[9] Hangke   Song, Zhi Liu*, Huan Du, Guangling Sun, Olivier Le Meur, Tongwei Ren. Depth-Aware   Salient Object Detection and Segmentation via Multiscale Discriminative   Saliency Fusion and Bootstrap Learning, IEEE Transactions on Image Processing,2017,26(9):4204-4216.  

[10] Xiaofei   Zhou, Zhi Liu*, Guangling Sun, Xiangyang Wang. Adaptive Saliency Fusion Based   on QualityAssessment. Multimedia Tools Applications, 2017, 76(22):   23187-23211.

[11] Zhi Liu*,   Junhao Li, Linwei Ye, Guangling Sun, Liquan Shen. Saliency Detection for   Unconstrained Videos Using Superpixel-Level Graph and Spatiotemporal Propagation.IEEE   Transactions on Circuits and Systems for Video   Technology,2017,27(12):2527-2542.

[12] Xiaofei   Zhou, Zhi Liu*, Guangling Sun, Linwei Ye, Xiangyang Wang. Improving Saliency   Detection via Multiple Kernel Boosting and Adaptive Fusion. IEEE Signal Processing   Letters,2016,23(4):517-521.

[13] Guangling   Sun*, Yong Dong, Xiaofei Zhou, Zhi Liu. Facial Descriptor for Kinect Depth   UsingInner-inter-normal Components Local Binary Patterns and Tensor   Histograms.Machine Vision and Applications,2016,27(7):997-1003.

[14] Xinpeng   Zhang*, Guangling Sun, Liquan Shen, Chuan Qin. Compression of Encrypted   Images with Multi-layer Decomposition. Multimedia Tools and Applications,   2014.9,72(1):489-502.

[15] Guangling Sun* and Zhi Liu. Robust   Blurred Face Recognition Using Sample-Wise Kernel Estimation and Random   Compressed Multi-Scale Local Binary Pattern Histogram. The International   Conference on Image Processing, pp: 333-337,2014.

 
     

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