尚媛园

首都师范大学研究生院副院长

尚媛园，女，1977年3月生，汉族，江苏连云港人，博士，教授，博士生导师，1999年3月加入中国共产党，1999年8月参加工作。

人物经历

研究方向

情感计算、计算机视觉、图像处理等。

主要成就

北京市长城学者、教育部霍英东青年教师奖获得者、北京市优秀青年知识分子（北京市人民政府授予），入选北京市科技新星、北京市青年拔尖创新人才和首都师范大学青年燕京学者。主持国家自然基金、北京市自然基金、863子课题、北京市科技新星、北京市教委重点项目等11项，获北京市科技进步二等奖、北京市科技进步三等奖、北京市教学成果二等奖各1项。在国际重要SCI期刊TPAMI、TIFS、TAC、IVC、PR、Neurocomputing以及顶级学术会议等发表论文90余篇。

所获荣誉

获北京市科技进步二等奖、北京市科技进步三等奖、北京市教学成果二等奖各1项。

社会任职

现任北京市人工智能学会副理事长、中国计算机学会视觉专委会委员、中国电子学会嵌入式专委会委员，担任多个SCI期刊TCSVT/PR/Neurocomputing等审稿人。

科研项目

（1）国家自然科学基金项目，“基于大模型和多模态信息融合的抑郁症识别方法研究”，项目执行时间：2025-2028年，负责人

（2）国家自然科学基金项目，“基于多模态深度特征学习的抑郁症识别方法研究”，项目执行时间：2019-2022年，负责人。

（3）北京市自然基金项目，“基于视觉语音模态融合和生物特征数据保护的抑郁症识别方法”，2024-2026年，负责人。

（4）北京市长城学者计划项目，“基于人脸图像的抑郁症识别研究”，项目执行时间：2017-2020年，负责人。

（5）北京市自然基金项目，“基于无控制条件下人脸图像的血缘关系识别研究”，2014-2016年，负责人。

（6）国家自然科学基金项目，“最新sCMOS成像技术及其在太阳观测中的适用性研究”，项目执行时间：2012-2014年，负责人。

（7）国家自然科学基金项目，“几种新型固体成像器件天文适用性的研究”，项目执行时间：2007-2009年，负责人。

（8）北京市科委科技新星计划项目，“高性能成像系统的设计与研究”，项目执行时间：2009-2011年，负责人。

（9）北京市教委重点项目“人脸图像血缘关系识别研究及其在失散人员寻找中的应用”，2015-2017年，负责人。

（10）基于人脸图像的手机移动平台软件应用开发，诺基亚研究院项目，2009-2011年，负责人。

（11）基于计算机视觉的纱线和布料缺陷检测研究,中国机械研究院项目，2017-2018年，主要负责人。

（12）总装备部武器装备探索研究项目，“新型空间相机方案和关键技术研究-图像探测与处理关键技术”课题，项目执行时间：2005-2007年，主要负责人。国防科工委项目，“空间太阳望远镜关键技术攻关项目”子课题高速CCD相机，项目执行时间：2005-2007年，主要负责人。

代表论文

(1) Yuchen Pan, Yuanyuan Shang, Zhuhong Shao, TieLiu, Guodong Guo, Hui Ding. Integrating Deep Facial Priors Into Landmarks forPrivacy Preserving Multimodal Depression Recognition，IEEETransactions on Affective Computing, 2023.（SCI）

(2) Zhuojin Han, Yuayuan Shang, Zhuhong Shao,Jingyi Liu, Guodong Guo, Tie Liu, Hui Ding, Qiang Hu. Spatial-Temporal FeatureNetwork for Speech-Based Depression Recognition. IEEE Transactions on Cognitiveand Developmental Systems, 2023. (SCI)

(3) Yuanyuan Shang, Yuchen Pan, Xiao Jiang,Zhuhong Shao, Guodong Guo, Tie Liu, Hui Ding. LQGDNet: a local quaternion andglobal deep network for facial depression recognition. IEEE Transactions onAffective Computing, 2021. （SCI）

(4) Xiuzhuang Zhou, Kai Jin, Yuanyuan Shang,Guodong Guo. Visually InterpretableRepresentation Learning for Depression Recognition from Facial Images. IEEETransactions on Affective Computing, 2020.（SCI）

(5) Yu Zhu, Yuanyuan Shang,Zhuhong Shao,GuodongGuo. Automated Depression Diagnosis based on Deep Networks to Encode FacialAppearance and Dynamics. IEEE Transactions on Affective Computing, 2020.（SCI）

(6) Yuchen Pan; Yuanyuan ShangYuanyuan Shang; TieLiu; Zhuhong Shao; Guodong Guo; Hui Ding; Qiang Hu. Spatial–Temporal Attention Network forDepression Recognition from facial videos. Expert Systems with Applications,2024. (SCI)

(7) YuchenPan, Yuanyuan Shang, Wei Wang, Zhuhong Shao, Zhuojin Han, Tie Liu, Guodong Guo,Hui Ding. Multi-feature deep supervised voiceprint adversarial network fordepression recognition from speech. Biomedical Signal Processing and Control,2024. (SCI)

(8) Mengyuan Yang, Yuanyuan Shang, Zhuhong Shao,and etc. LMS-VDR: Integrating Landmarks into Multi-Scale Hybrid Net for Video-basedDepression Recognition, PRCV, 2024. (顶会)

(9) Jiaxi Lu, Yuanyuan Shang, Zhuhong Shao, andetc. A Graph Attention Representation for Facial Expression Recognition, ICONIP,2024(顶会)

(10) ZhuhongShao, Leding Li, Bicao Li, Yuanyuan Shang*, Gouenou Coatrieux, Huazhong Shu,Changmiao Wang. Quaternion-based 2D-DOST and Stacked Principal ComponentAnalysis Network for Multimodal Face Recognition. Applied Soft Computing, 2024,166: 112154

(11) ZhijianSun, Zhuhong Shao, Yuanyuan Shang, Bicao Li, Jiasong Wu, Yuping Duan.Residual shuffle attention network for image super-resolution. MachineVision and Applications, 2023 (SCI)

(12) ZhijianSun, Zhuhong Shao, Yuanyuan Shang, Bicao Li, Jiasong Wu, Hui Bi.Randomized Nonlinear Two-Dimensional Principal Component Analysis Networks forObject Recognition. Machine Vision and Applications, 2023 (SCI)

(13) ZhuhongShao, Xue Wang, Yadong Tang, Yuanyuan Shang. Trinion Discrete Cosine Transformwith Application to Color Image Encryption. Multimedia Tools andApplications, 2023 (SCI)

(14) YunfeiWang，YuanyuanShang，ZhuhongShao, Yan Zhang, Gouenou Coatrieux，HuiDing，TieLiu. Multiple color image encryption based oncascaded quaternion gyrator transforms, Signal Processing: Image Communication,2022.（SCI）

(15) Zihan Xu,Zhuhong Shao, Yuanyuan Shang, Bicao Li, Hui Ding, Tie Liu. Fusing structure andcolor features for cancelable face recognition. Multimedia Tools andApplications, 2021.（SCI）

(16) XiaoniSun, Zhuhong Shao, Yuanyuan Shang, Mingxian Liang, Fengjian Yang.Multiple-image encryption based on cascaded gyrator transforms andhigh-dimensional chaotic system. Multimedia Tools and Applications, 2021. （SCI）

(17) Min Jiang, Yuanyuan Shang, Guodong Guo. Computational approach to body mass indexestimation from dressed people in 3D space，IET Image Processing，2020.（SCI）

(18) QijunYao, Zhuhong Shao, Yuanyuan Shang, Hui Ding, Xilin Liu, Rui Zeng, Qingbin Tong.Color image encryption based on discrete trinion Fourier transform andrandom-multiresolution singular value decomposition. Multimedia Tools andApplications, 2020.（SCI）

(19) ZhuhongShao, Xilin Liu, Qijun Yao, Qi Na, Yuanyuan Shang, Jingjing Zhang.Multiple-image encryption based on chaotic phase mask and equal modulus decompositionin quaternion gyrator domain. Signal Processing-Image Communication, 2020.（SCI）

(20) YuanyuanShang, Ge Li, Xiuzhuang Zhou, and etc. Sky Detection by Effective ContextInference, Neurocomputing, 2016, 208: 238-248.（SCI）

(21) Jiwen Lu,Xiuzhuang Zhou, Yap-Peng Tan, Yuanyuan Shang, Jie Zhou. Cost-sensitivesemi-supervised discriminant analysis for face recognition. IEEE Transactionson Information Forensics and Security. vol.7, no.3, pp.944-953, 2012. （SCI）

(22) XiuzhuangZhou, YuanyuanShang, and etc. Ensemble similarity learning for kinship verificationfrom facial images in the wild. Information Fusion, 2016, 32: 40-48.（SCI）

(23) ZhuhongShao, Yuanyuan Shang, Xiaoyan Fu, Huazhong Shu, Huimei Yuan. Double-imagecryptosystem using chaotic map and mixture amplitude-phase retrieval in gyratordomain, Multimedia Tools and Applications, 2017, doi:10.1007/s11042-016-4279-0（SCI）

(24) Zhuhong Shao,Yuanyuan Shang, Yu Zhang, Xilin Liu, Guodong Guo, Robust watermarking usingorthogonal Fourier-Mellin moments and chaotic map for double images, SignalProcessing, 2016, 120: 522-531.（SCI）

(25) XiuzhuangZhou, Qirun Huo, Yuanyuan Shang, Min Xu, and Hui Ding. Learning spatiallyregularized similarity for robust visual tracking. Image and Vision Computing,2017, 60: 134-141.（SCI）

(26) TieLiu , HaibinDuan , YuanyuanShang, Zejian Yuan, NanningZheng. Automaticsalient object sequence rebuilding for video segment analysis. Science ChinaInformation Sciences , 2018, 61 (1) :012205（SCI）

(27) Jiwen Lu,Xiuzhuang Zhou, Yap-Peng Tan, Yuanyuan Shang, Jie Zhou. Neighborhood repulsedmetric learning for kinship verification. IEEE Transactions on Pattern Analysisand Machine Intelligence (TPAMI). 2013. （SCI）

(28) XiuzhuangZhou, Lin Ma, Min Xu, Yuanyuan Shang. Hybrid Generative-Discriminative Learningfor Online Tracking of Sperm Cell, Neurocomputing, 2016, 208: 218-224.（SCI）

(29) XiuzhuangZhou, Kai Jin, Qian Chen, Min Xu, Yuanyuan Shang. Multiple face tracking andrecognition with identity-speciﬁc localized metric learning. PatternRecognition. 2017（SCI）

(30) Min Xu，YuanyuanShang，KinshipMeasurement on Face Images by Structured Similarity Fusion, IEEE Access,2016,4: 10280-10287.（SCI）

(31) Min Xu，XiuzhuangZhou，QirunHuo, and Hui Liu, Efficient Stochastic Approximation Monte Carlo Sampling forHeterogeneous Redundancy Allocation Problem, IEEE Access,2016,4: 7383-7390.（SCI）

(32) XiuzhuangZhou, Haibin Yan, and Yuanyuan Shang. Kinship verification from facial imagesby scalable similarity learning. Neurocomputing, 2016, 197: 136-142.（SCI）

(33) Zhong Luan, YuanyuanShang, Xiuzhuang Zhou, Zhuhong Shao, Guodong Guo, Xiaoming Liu. Fast singleimage dehazing based on a regression model. Neurocomputing, 2017, 245: 10–22.（SCI）

(34) ZhuhongShao, YuanyuanShang, RuiZeng, HuazhongShu, GouenouCoatrieux, Robustwatermarking scheme for color image based on quaternion-type moment invariantsand visual cryptography, Signal Processing-Image Communication, 2016, 48: 12-21.（SCI）

(35) Xu Min, YuanyuanShang, and etc. Kinship Verification Using Facial Images by Robust SimilarityLearning, Mathematical Problems in Engineering, 2016, 2016:1-8, DOI：10.1155/2016/4072323).（SCI)

(36) YuanyuanShang, Yong Guan, and etc. Design and evaluation of a high-performance CCDcamera for astronomical imaging. IOP Journal: Measurement Science andTechnology (UK).2009.Vol 20(No.10). 104002 .（SCI）

(37) YuanyuanShang, Yong Guan, and etc. A high dynamic range complementary metal oxide semiconductorcamera using multi-slope response and an image reconstruction algorithm. IOPJournal: Measurement Science and Technology (UK).2009.Vol 20(No.10). 104005.（SCI）

(39) Lu Kou,Xiuzhuang Zhou, Min Xu, and Yuanyuan Shang. Learning a Genetic Measure forKinship Verification Using Facial Images, Mathematical Problems in Engineering,volume 2015, Article ID 472473, 2015. (SCI)

(40) Chunyu Zhang,Hui Ding, Yuanyuan Shang, Zhuhong Shao. GenderClassification Based on Multi-Scale Facial Fusion Feature, MathematicalProblems in Engineering, 2018

(42) XiuzhuangZhou, Yuanyuan Shang, and etc, Polygonal Approximation of Digital Planar Curvesvia Hybrid Monte Carlo Optimization. IEEE Signal Processing Letters.2013,20(2): 125-128.（SCI）

(43) XiuzhuangZhou, Jiwen Lu, Yuanyuan Shang, and etc, Gabor-based gradient orientationpyramid for kinship verification under uncontrolled environments, Source: MM'12-Proceedings of the 2012 ACM International Conference on Multimedia, ACMMultimedia. 2012,1061-1064（A类顶级会议）

(44) XiuzhuangZhou, Junlin Hu, Jiwen Lu, Yuanyuan Shang, and etc. Kinship verification from facial images under uncontrolled condition. ACMMultimedia (ACM MM), pp.953-956, 2011. （A类顶级会议）

(45) Jiwen Lu,Junlin Hu, Xiuzhuang Zhou, Yuanyuan Shang, Yap-Peng Tan, Gang Wang. Neighborhoodrepulsed metric learning for kinship verification. IEEE Conference on ComputerVision and Pattern Recognition (CVPR), pp.2594-2601, 2012. （A类顶级会议）

(46) Jiwen Lu,Junlin Hu, Xiuzhuang Zhou, Yuanyuan Shang. Activity-based person identificationusing sparse coding and discriminative metric learning. ACM Multimedia (ACMMM), pp. 1061-1064, 2012. （A类顶级会议）

(47) XiuzhuangZhou, Lu Kou, Hui Ding, Xiaoyan Fu, and Yuanyuan Shang. Similarity learning fortemplate-based visual tracking, IEEE Conference on Multimedia and Expo (ICME),2014. (国际顶级会议)

(48) Jiwen Lu,Junlin Hu, Xiuzhuang Zhou, Jie Zhou, Modesto Castrillón-Santana, JavierLorenzo-Navarro, Lu Kou, Yuanyuan Shang, Andrea Bottino, Tiago Vieira. KinshipVerification in the Wild: The first kinship verification competition, InternationalJoint Conference on Biometrics (IJCB), 2014. (国际顶级会议)

(49) 栾中，尚媛园等. 基于SLIC和SVR的单幅图像去雾算法. 东南大学学报, 2018 Yunfei Wang, Hui Ding, Yuanyuan Shang, Zhuhong Shao,Xiaoyan Fu. An Improved Anchored Neighborhood Regression Enhancement for FaceRecognition, Journal of shanghai Jiaotong University (Science)，2017（EI）

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