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.
