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广东省教育厅中英合作视觉信息处理实验室

China-UK Visual Information

Processing Laboratory

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深圳大学计算机视觉研究所

Institute of Computer Vision,

Shenzhen University

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教师

沈琳琳        

姓       名：沈琳琳

职       称：教授

研究方向：计算机视觉

电子邮箱：llshen@szu.edu.cn

个人介绍
沈琳琳，上海交通大学学士、硕士，受英国政府海外研究奖学金资助在诺丁汉大学获得博士学位，博士期间获得“国家优秀自费留学生”奖励。现为广东省教育厅中英合作视觉信息处理实验室主任、深大-浙江大华智能系统工程联合实验室主任、深圳大学计算机视觉研究所所长、英国诺丁汉大学计算机学院荣誉教授。研究方向主要为图像处理和模式识别。Elsevier“中国高被引学者”，广东省千百十人才，曾获得《Image and Vision Computing》期刊“最多他引论文奖”，研发的人脸识别算法曾获得世界算法大赛亚军，研发的细胞分类算法连续获得IEEE ICIP 2013、ICPR 2016国际细胞分类算法大赛冠军。
研究项目
1 服务机器人的主动环境认知与目标行为识别(U1713214), 国家自然科学基金-深圳机器人基础研究中心联合基金项目, 负责人-沈琳琳, 2018-2021 年                
2 三维Gabor特征空间编码与融合研究(61672357), 国家自然科学基金, 负责人-沈琳琳, 2017-2020 年                
3 基于空间-光谱域联合变化特征的高光谱图像分类(JCYJ20160422144110140), 深圳市基础研究, 负责人-沈琳琳, 2016-2018 年                
4 基于局部特征原子的联合稀疏表示及其应用(2014A030313556), 广东省自然科学基金, 负责人-沈琳琳, 2015-2017 年                
5 过完备字典自适应优化理论及应用研究(61272050), 国家自然科学基金, 负责人-沈琳琳, 2013-2016 年                
6 基于过完备感知模型和稀疏表示的有遮挡人脸识别研究(60903112), 国家自然科学基金, 负责人-沈琳琳, 2010-2012 年          
论文
1 Sen Jia, Linlin Shen*, Jiasong Zhu, Qingquan Li. A 3-D Gabor Phase-Based Coding and Matching Framework for Hyperspectral Imagery Classification. IEEE Transactions on Cybernetics. 2018, 48(4), 1176-1188.(SCI).                
2 Yuexiang Li, Linlin Shen*, Siu-Yeung Cho. A robust and fast framework for cell tracking. Journal of Medical Imaging and Health Informatics . 2018, XX, .(SCI).                
3 Xuechen Li, Linlin Shen*, Suhuai Luo. A Solitary Feature-based Lung Nodule Detection Approach for Chest X-Ray Radiographs. IEEE Journal of Biomedical and Health Informatics. 2018, 22(2), 516-524.(SCI).                
4 Yuexiang Li, Linlin Shen*. cC-GAN A Robust Transfer-learning Framework for HEp-2 Specimen Image Segmentation. IEEE Access. 2018, 6(1), 14048-14058.(SCI).                
5 Weicheng Xie, Linlin Shen*, Meng Yang, Jianming Jiang. Facial expression synthesis with direction field preservation based mesh deformation and lighting fitting based wrinkle mapping. Multimedial Tools and Applications. 2018, 77(6), 7565-7593.(SCI).                
6 Yuexiang Li, Linlin Shen*. HEp-Net: a smaller and better deep-learning network for HEp-2 cell classification. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization. 2018, XX, .(SCI).                
7 Weicheng Xie, Jinming Duan, Linlin Shen*, Yuexiang Li, Meng Yang, Guojun Lin. Open snake model based on global guidance field for embryo vessel location. IET Computer Vision. 2018, 12(2), 129-137.(SCI).                
8 Yuexiang Li, Linlin Shen*. Skin Lesion Analysis towards Melanoma Detection Using Deep Learning Network. Sensors. 2018, 18(2), 556-571.(SCI).                
9 Weicheng Xie, Linlin Shen*, Jianmin Jiang. A Novel Transient Wrinkle Detection Algorithm and Its Application for Expression Synthesis. IEEE Transactions on Multimedia. 2017, 19(2), 279-292.(SCI).                
10 Weicheng Xie, Linlin Shen*, Meng Yang, Zhihui Lai. Active AU Based Patch Weighting for Facial Expression Recognition. Sensors. 2017, 17(2), 275.(SCI).                
11 Yuexiang Li, Linlin Shen*, Shiqi Yu. HEp-2 Specimen Image Segmentation and Classification Using Very Deep Fully Convolutional Network. IEEE Transactions on Medical Imaging. 2017, 36(7), 1561-1572.(SCI).                
12 Meng Yang, Xin Wang, Guohang Zeng, Linlin Shen. Joint and collaborative representation with local adaptive convolution feature for face recognition with singl esampler per person. Pattern Recognition. 2017, 66, 117-128.(SCI).                
13 Meng Yang, Xin Wang, Weiyang Liu, Linlin Shen. Joint Regularized Nearest Points for Image Set based Face Recognition. Image and Vision Computing. 2017, 58, 47-60.(SCI).                
14 Baochang Zhang, Zhigang Li, Xianbin Cao, Qixiang Ye, Chen Chen, Linlin Shen*, Alessandro Perina, Rongrong Ji. Output constraint transfer for kernelized correlation filter in tracking. IEEE Trans. On Systems, Man and Cybernetics: Systems. 2017, 47(4), 693-703.(SCI).                
15 Zhihui Lai, Yong Xu, Jian Yang, Linlin Shen, David Zhang. Rotational Invariant Dimensionality Reduction Algorithms. IEEE Transactions on Cybernetics. 2017, 47(11), 3733-3746.(SCI).                
16 Sen Jia, Jie Hu, Y Xie, Linlin Shen*, Xiuping Jia. Gabor cube selection based multitask joint sparse representation for hyperspectral image classification. IEEE Transactions on Geoscience and Remote Sensing. 2016, 54(6), 3174-3187.(SCI).                
17 Xin Wang, Meng Yang, Linlin Shen. Structured Regularized Robust Coding for Face Recognition. Neurocomputing . 2016, 2016, 18-27.(SCI).                
18 Xiaole Shen, Qingquan Li, Linlin Shen*. An Uneven Illumination Correction Algorithm for Remote Sensing Images Affected by Thin Clouds. Remote Sensing. 2015, 2015(7), 11848-11862.(SCI).                
19 Sen Jia, Linlin Shen*, Qingquan Li. Gabor feature-based collaborative representation for hyperspectral imagery classification. IEEE Transactions on Geoscience and Remote Sensing. 2015, 53(2), 1118-1129.(SCI).                
20 Meng Yang, Pengfei Zhu, Feng Liu, Linlin Shen*. Joint representation and pattern learning for robust face recognition. Neurocomputing. 2015, 168, 70-80.(SCI).                
21 Baochang Zhang, Linlin Shen*. Cooperative and Geometric Learning Algorithm (CGLA) for path planning of UAVs with limited information. Automatica. 2014, 50, 809-820.(SCI).                
22 Linlin Shen, Jiaming Lin, Shiqi Yu. HEp-2 image classification using intensity order pooling based features and bag of words. Pattern Recognition. 2014, 47(7), 2419-2427.(SCI).                
23 Linlin Shen, Zexuan Zhu, Sen Jia. Discriminative Gabor feature selection for hyperspectral image classification. IEEE Geoscience and Remote Sensing Letters. 2013, 10(1), 29-33.(SCI).                
24 Linlin Shen, Li Bai. an efficient approach for multi-modal biometrics. International Journal of Pattern Recognition and Artificial Intelligence. 2011, 25(2), 273-286.(SCI).                
25 Linlin Shen, Sen Jia, Wensheng Chen. Extracting   local texture features for image-based coin recognition. IET Image Processing. 2011, 5(5), 394-401.(SCI).                
26 Linlin Shen, Sen Jia. Three-Dimensional Gabor wavelets for pixel-based hyperspectral imagery classification. IEEE Transactions on Geoscience and Remote Sensing. 2011, 49(12), 5039-5046.(SCI).                
27 Linlin Shen. Gabor wavelet selection and SVM classification for object recognition. 自动化学报. 2009, 35(4), 350-355.(EI).                
28 Linlin Shen, Li Bai. 3D Gabor wavelets for evaluating SPM normalization algorithm. Medical Image Analysis. 2008, 12(3), 375-383.(SCI).                
29 Xianxu Hou, Linlin Shen, Ke Sun, Guoping Qiu. Deep Feature Consistent Variational Autoencoder. WACV 2016. 2017. USA, .(EI).                
30 Lifang He, Chun-Ta Lu, Hao Ding, Shen Wang, Linlin Shen*, Philip S. Yu , Ann B. Ragin.  Multi-way Multi-level Kernel Modeling for Neuroimaging Classification. IEEE CVPR 2017. 2017. Haiwaii, USA, .(EI).                
31 Lifang He, Chun-Ta Lu, Guixia Ma, Shen Wang, Linlin Shen*, Philip S. Yu, Ann B. Ragin. Kernelized Tensor Factorization Machines. The 34th International Conference on Machine Learning (ICML). 2017. Sydney, Australia, .(EI).                
32 Lifang He, Linlin Shen*. Joint Community and Structural Hole Spanner Detection via Harmonic Modularity. KDD 2016. 2016. 美国洛杉矶, .(EI).                
33 Lifang He, Linlin Shen*. Spatio-temporal tensor analysis for whole-brain fMRI classification. SIAM DM. 2016. 美国迈阿密, .(EI).                
34 Meng Yang, Linlin Shen. Analysis-synthesis dictionary learning for universality-particularity representation based classification. AAAI 2016. 2016. 美国凤凰城, .(EI).                
35 Xiande Zhou, Yuexiang Li, Wenfeng Wu, Linlin Shen*. HEp-2 Cell Image Classification using Local Features and K-means Clustering based Joint Sparse Representation. International Conference on Wavelet Analysis and Pattern Recognition . 2016. Jeju Island, South Korea, .(EI).                
36 Yuexiang Li, Linlin Shen*, Xiande Zhou, Shiqi Yu. HEp-2 Specimen Classification with Fully Convolutional Network. International Conference on Pattern Recognition. 2016. Cancun, Mexico, .(EI).                
37 Meng Yang, Linlin Shen. Joint regularized nearest points for image set based face recognition. IEEE FG 2015. 2015. Ljubljana, .(EI).                
38 Linlin Shen. Band selection for Gabor feature based hyperspectral palmprint recognition. ICB 2015. 2015. 泰国, .(EI).                
39 Meng Yang, Linlin Shen. Latent dictionary learning for sparse representation based classification. CVPR 2014. 2014. 美国, .(EI).          
奖励
1 图像特征提取关键理论及应用. 深圳市科学技术奖（自然科学类）. 深圳市人民政府. 2017. (1/6)                
2 基于卷积神经网络的HEp-2细胞分类. 细胞荧光图像分类算法大赛冠军. ICPR. 2016. (3/5)                
3 小波域图像表示与稀疏性目标感知. 中国电子学会自然科学奖. 中国电子学会. 2015. (3/3)                
4 基于旋转不变特征的细胞荧光图像分类. 细胞荧光图像分类算法大赛冠军. ICIP. 2013. (1/2)                
5 智能信息处理关键理论及在图像中的应用. 广东省自然科学奖. 广东省人民政府. 2012. (2/3)                
6 最多他引论文奖. 最多他引论文奖. 《Image and Vision Computing》期刊. 2010. (1/1)