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王甦菁
nwangsujing@psych.ac.cn
中文, 英语
北京
中国科学院
institute of psychology CAS
  • 2012.08-2015.06 博士后: 中国科学院心理研究所
  • 2008.09-2012.06 工学博士学位: 吉林大学
  • 2005.09-2007.06 工程硕士学位: 吉林大学
  • 1999.09-2002.06 工学学士学位: 淮海工学院
  • 1995.09-1997.06 普通专科: 江苏省广播电视大学
  • 2017.03至今 - 中国科学院心理研究所 - 副研究员
  • 2015.07-2017.02 - 中国科学院心理研究所 - 助理研究员
  • 2012.08-2015.06 - 中国科学院心理研究所 - 博士后
  • 1998.02-2005.06 - 江苏省灌云县中学 - 教师
  • 2018: 第八届吴文俊人工智能科学技术奖(自然科学类)一等奖
  • 2016: 北京市残疾人自强模范
  • 2014: 吉林省优秀博士学位论文
  • 2014: 吉林大学优秀博士学位论文
  • 2013: '北京榜样'提名奖
  • 2013: 新华社'中国网事•感动2012'年度人物
  • 2013: '感动吉林'2012年度人物
  • 2011: IBM中国优秀学生奖学金
  • 2011: 吉林大学第二十五届研究生'精英杯'学术成果大奖赛一等奖
  • 2009: 吉林大学2008-2009学年优秀研究生
  • 2009: 吉林大学2008-2009学年二等研究生优秀奖学金
  • 2005: 江苏省连云港市残疾人自强模范
  • 2004: 江苏省劳动保障厅授予'江苏省技术能手'称号
  • 2002: 江苏省残疾人电脑比赛一等奖
  • 2001: 江苏省精神文明建设新人新事
  • 2001: 淮海工学院优秀学员
  • 2001: 江苏省连云港市技术能手
  • 2000: 国家授予全国职工自学成才奖
  • 2000: 江苏省残疾人电脑比赛一等奖
  • 1999: 江苏省职工自学成才者
  • 1999: 江苏省连云港市'十佳新人新事'
  • 1999: 江苏省连云港市'第六届连云港市十大杰出青年'
  • 1999: 江苏省连云港市灌云县县级技术拔尖人才
  • 1997: 首届全国大学生电脑大赛总决赛纪念奖
  • 1997: 江苏省电大优秀毕业生
  • 1995: 连云港市微机使用大赛第三名
  • 1993: 连云港市灌云县最佳青年
模式识别(特别是人脸识别和微表情识别)
机器学习
图像处理
基于视觉的谎言识别
微表情产生机制
  • CAS(ME)3: A Third Generation Facial Spontaneous Micro-Expression Database with Depth Information and High Ecological Validity, Jingting Li, Zizhao Dong, Shaoyuan Lu, Su-Jing Wang*, Wen-Jing Yan, Yinhuan Ma, Ye Liu, Changbing Huang, Xiaolan Fu*, 2022
  • 3D-CNN for facial micro-and macro-expression spotting on long video sequences using temporal oriented reference frame, Chuin Hong Yap, Moi Hoon Yap, Adrian Davison, Connah Kendrick, Jingting Li, Su-Jing Wang, Ryan Cunningham, 2022
  • A More Objective Quantification of Micro-Expression Intensity through Facial Electromyography, Shaoyuan Lu, Jingting Li, Yan Wang, Zizhao Dong, Su-Jing Wang*, Xiaolan Fu, 2022
  • Facial Micro-Expression Recognition based on Deep Local-Holistic Network, Jingting Li, Ting Wang, &Su-Jing Wang*, 2022
  • 基于人类注意机制的微表情检测方法, 李婧婷, 东子朝, 刘烨, 王甦菁*, &庄东哲*, 2022
  • 一项实证研究:高风险场景下微表情的高暴露可能性, 鲁绍愿,李婧婷,东子朝,王港,李振,马崟桓,王甦菁,&庄东哲*, 2022
  • The effect of facial attractiveness on micro-expression recognition, Qiungsi Lin, Dong, Zizhao, Qiuqiang Zheng, Wang Su-Jing*, 2022
  • Spontaneous Facial Expressions and Micro-expressions Coding: From Brain to Face, Dong, Zizhao, Wang Gang, Lu Shaoyuan, Li Jingting, Yan Wenjing, Wang Su-Jing*, 2022
  • A Brief Guide: Code for Spontaneous Expressions and Micro-Expressions in Videos, Dong, Zizhao, Wang Gang, Lu Shaoyuan, Yan Wenjing, Wang Su-Jing*, 2021
  • MESNet: A Convolutional Neural Network for Spotting Multi-Scale Micro-Expression Intervals in Long Videos, Wang, Su-Jing*, Ying He, Jingting Li, and Xiaolan Fu, 2021
  • Video-based Facial Micro-Expression Analysis: A Survey of Datasets, Features and Algorithms, Ben, Xianye, Yi Ren, Junping Zhang, Su-Jing Wang*, Kidiyo Kpalma, Weixiao Meng, and Yong-Jin Liu*, 2021
  • Spatio-temporal fusion for Macro- and Micro-expression Spotting in Long Video Sequences, Zhang, Li-Wei, Jingting Li, Su-Jing Wang*, Xian-Hua Duan, Wen-Jing Yan, Hai-Yong Xie, Shu-Cheng Huang, 2020
  • MEGC2020 - The Third Facial Micro-Expression Grand Challenge, Li, Jingting, Su-Jing Wang*, Moi Hoon Yap, John See, Xiaopeng Hong, Xiaobai Li, 2020
  • Spotting Macro-and Micro-expression Intervals in Long Video Sequences, He Ying,Wang Su-Jing*, Li Jingting, Yap Moi Hoon, 2020
  • 隐藏情绪分析与识别方法, 王甦菁, 邹博超, 刘瑞, 李振, 赵国朕, 刘烨, 傅小兰, 2020
  • Action Units recognition based on Deep Spatial-Convolutional and Multi-label Residual network, Wang Su-Jing,Lin Bo, Wang Yong, Yi Tongqiang, Zou Bochao, Lyu Xiang-wen, 2019
  • MEGC 2019 – The Second Facial Micro-Expressions Grand Challenge, See John, Yap Moi Hoon, Li Jingting, Hong Xiaopeng, Wang Su-Jing, 2019
  • Spotting Micro-Expressions on Long Videos Sequences, Li J., Soladié C., Séguier R., Wang S., Yap M. H., 2019
  • Discriminative Spatiotemporal Local Binary Pattern with Revisited Integral Projection for Spontaneous Facial Micro-Expression Recognition, Huang Xiaohua, Wang Su-Jng, Liu Xin, Zhao Guoying, Feng Xiaoyi, Pietikainen Matti, 2019
  • CDBV: A Driving Dataset with Chinese Characteristics From a Bike View, He Ying, Yang Han-Bo, Wang Su-Jing, 2019
  • Micro-expression Recognition with Small Sample Size by Transferring Long-term Convolutional Neural Network, Su-Jing Wang, Bing-Jun Li, Yong-Jin Liu, Wen-Jing Yan, Xinyu Ou, Xiaohua Huang, Feng Xu, Xiaolan Fu, 2018
  • CAS(ME)^2: A Database for Spontaneous Macro-Expression and Micro-Expression Spotting and Recognition, Fangbing Qu#, Su-Jing Wang#, Wen-Jing Yan, He Li, Shuhang Wu, Xiaolan Fu, 2018
  • Micro-Expression Recognition Based on Local Two-Order Gradient Pattern, Mingyue Niu, Ya Li, Jianhua Tao, Su-Jng Wang, 2018
  • Facial Micro-Expressions Grand Challenge 2018 Summary, Moi Hoon Yap, John See, Xiaopeng Hong, Su-Jing Wang, 2018
  • A Main Directional Maximal Difference Analysis for Spotting Facial Movements from Long-term Videos, Wang, S-J.*, Wu S., Qian X., Li J., Fu X., 2017
  • Sparse tensor canonical correlation analysis for micro-expression recognition, Wang, S-J.*, Yan, W-J., Sun, T., Zhao, G., & Fu, X., 2016
  • A Main Directional Maximal Difference Analysis for Spotting Micro-expressions, Wang, S-J.*, Wu S, Fu X., 2016
  • A Main Directional Mean Optical Flow Feature for Spontaneous Micro-Expression Recognition, Liu, Y.-J., Zhang, J.-K., Yan, W.-J., Wang, S.-J.*, Zhao, G., & Fu, X. L., 2016
  • An Efficient Hybrid Kernel Extreme Learning Machine Approach for Early Diagnosis of Parkinson’s Disease, Chen, H.-L., Wang, G., Ma, C., Cai, Z.-N., Liu, W.-B., & Wang, S.-J.*, 2016
  • CAS(ME)2: A Database of Spontaneous Macro-Expressions and Micro-Expressions, Qu, F., Wang, S.-J., Yan, W., & Fu, X.*, 2016
  • A PMJ-inspired cognitive framework for natural scene categorization in line drawings, Yu, M., Liu, Y.-J.*, Wang, S.-J., Fu, Q., & Fu, X., 2016
  • Facial Micro-Expression Recognition Using Spatiotemporal Local Binary Pattern with Integral Projection, Huang, X., Wang, S.-J., Zhao, G., & Piteikainen, M., 2015
  • Micro-Expression Recognition Using Color Spaces, Wang, S.-J.*, Yan, W.-J., Li, X., Zhao, G., Zhou, C.-G., Fu, X., Yang, M., & Tao, J., 2015
  • Towards an optimal support vector machine classifier using a parallel particle swarm optimization strategy, Chen, H. l., Yang, B., Wang, S.-J., Wang, G., Liu, D. y., Li, H. z., & Liu, W. b., 2014
  • A General Exponential Framework for Dimensionality Reduction, Wang, S.-J., Yan, S., Yang, J., Zhou, C.-G., & Fu, X., 2014
  • Face Recognition and Micro-expression Recognition Based on Discriminant Tensor Subspace Analysis Plus Extreme Learning Machine, Wang, S.-J., Chen, H.-L., Yan, W.-J., Chen, Y.-H., & Fu, X., 2014
  • Micro-expression Recognition Using Dynamic Textures on Tensor Independent Color Space, Wang, S.-J., Yan, W.-J., Li, X., Zhao, G., & Fu, X. L., 2014
  • Micro-expression Recognition using Robust Principal Component Analysis and Local Spatiotemporal Directional Features, Wang, S.-J., Yan, W.-J., Zhao, G., Fu, X., & Zhou, C.-G., 2014
  • Quantifying Micro-expressions with Constraint Local Model and Local Binary Pattern, Yan, W.-J., Wang, S.-J., Chen, Y.-H., Zhao, G., & Fu, X., 2014
  • For micro-expression recognition: Database and suggestions, Yan, W.-J., Wang, S.-J., Liu, Y.-J., Wu, Q., & Fu, X., 2014
  • CASME II: An Improved Spontaneous Micro-Expression Database and the Baseline Evaluation, Yan, W.-J., Li, X., Wang, S.-J., Zhao, G., Liu, Y.-J., Chen, Y.-H., & Fu, X., 2014
  • An efficient diagnosis system for detection of Parkinson’s disease using fuzzy k-nearest neighbor approach, Chen, H.-L., Wang, G., Ma, C., Cai, Z.-N., Liu, W.-B., & Wang, S.-J.*, 2013
  • Fusion Tensor Subspace Transformation Framework, Wang, S.-J., Zhou, C.-G., & Fu, X., 2013
  • CASME Database: A Dataset of Spontaneous Micro-Expressions Collected From Neutralized Faces, Yan, W.-J., Wu, Q., Liu, Y.-J., Wang, S.-J., & Fu, X., 2013
  • 微表情研究的进展与展望, 梁静, 颜文靖, 吴奇, 申寻兵, 王甦菁, & 傅小兰, 2013
  • Support Vector Machine Based Diagnostic System for Breast Cancer Using Swarm Intelligence, Chen, H.-L., Yang, B., Wang, G., Wang, S.-J., Liu, J., & Liu, D.-Y., 2012
  • Incremental multi-linear discriminant analysis using canonical correlations for action recognition, Jia, C.-C., Wang, S.-J., Peng, X.-J., Pang, W., Zhang, C.-Y., Zhou, C.-G., & Yu, Z.-Z., 2012
  • 2D-SPP: A Two-dimensional Extension of Sparsity Preserving Projections, Pang, E.-P., Wang, S.-J., Qu, M.-Z., Liu, R., Jia, C.-C., & Yu, Z.-Z., 2012
  • STPCA: Sparse Tensor Principal Component Analysis for Feature Extraction, Wang, S.-J., Sun, M.-F., Chen, Y.-H., Pang, E.-P., & Zhou, C.-G., 2012
  • Sparse Tensor Discriminant Color Space for Face Verification, Wang, S.-J., Yang, J., Sun, M.-F., Peng, X.-J., Sun, M.-M., & Zhou, C.-G., 2012
  • 基于稀疏张量的人脸图像特征提取方法, 周春光, 孙明芳, 王甦菁, 陈前, 刘小华, & 刘昱昊, 2012
  • An Adaptive Fuzzy k-Nearest Neighbor Method Based on Parallel Particle Swarm Optimization for Bankruptcy Prediction, Chen, H.-L., Liu, D.-Y., Yang, B., Liu, J., Wang, G., & Wang, S.-J., 2011
  • A novel bankruptcy prediction model based on an adaptive fuzzy k-nearest neighbor method, Chen, H.-L., Yang, B., Wang, G., Liu, J., Xu, X., Wang, S.-J., & Liu, D.-Y., 2011
  • An Improved Particle Swarm Optimization for Feature Selection, Liu, Y., Wang, G., Chen, H., Dong, H., Zhu, X., & Wang, S.-J., 2011
  • Human Action Recognition Using Tensor Principal Component Analysis, Sun, M.-F., Wang, S.-J., Liu, X.-H., Jia, C.-C., & Zhou, C.-G., 2011
  • Tensor Discriminant Color Space for Face Recognition, Wang, S.-J., Yang, J., Zhang, N., & Zhou, C.-G., 2011
  • Exponential locality preserving projections for small sample size problem, Wang, S.-J., Chen, H.-L., Peng, X.-J., & Zhou, C.-G., 2011
  • A novel face recognition method based on sub-pattern and tensor, Wang, S.-J., Zhou, C.-G., Chen, Y.-H., Peng, X.-J., Chen, H.-L., Wang, G., & Liu, X., 2011
  • Face recognition using second-order discriminant tensor subspace analysis, Wang, S.-J., Zhou, C.-G., Zhang, N., Peng, X.-J., Chen, Y.-H., & Liu, X., 2011
  • Matrix Exponential LPP for Face Recognition, Wang, S.-J., Jia, C.-C., Chen, H.-L., & Zhou, C.-G., 2011
  • Can Estimate Age Range Using 'a Face a Person', Wang, S.-J., Zhou, C.-G., Sun, M.-F., Chen, H.-L., Liu, X.-H., & Peng, X.-J., 2011
  • Two-dimensional Locality Preserving Projection Based on Maximum Scatter Difference, Wang, S.-J., Zhang, N., Peng, X.-J., & Zhou, C.-G., 2011
  • The Analysis of Parameters t and k of LPP on Several Famous Face Databases, Wang, S.-J., Zhang, N., Sun, M.-F., & Zhou, C.-G., 2011
  • 一种快速的虹膜定位算法, 陈前, 王甦菁, 刘小华, 高蕾, & 周春光, 2011
  • 复杂背景下同光度性质物体的图像分割, 刘小华, 石娜, 王甦菁, & 李春玲, 2011
  • 一种基于形状和纹理特征的人脸年龄估计方法, 王甦菁, 周春光, 张娜, 李建朋, & 张利彪, 2011
  • 基于轮廓的孔洞填充算法, 张德才, 周春光, 周强, 池淑珍, & 王甦菁, 2011
  • Tensor analysis and multi-scale features based multi-view human action recognition, Jia, C.-C., Wang, S.-J., Xu, X., Zhou, C.-G., & Zhang, L., 2010
  • A Sign Language Recognition Based on Tensor, Wang, S.-J., Zhang, D.-C., Jia, C.-C., Zhang, N., Zhou, C.-G., & Zhang, L.-B., 2010
  • Solved Environmental/Economic Dispatch Based on Multi-objective PSO, Zhang, L., Xu, X., Wang, S.-J., Ma, M., Zhou, C.-G., & Sun, C., 2010
  • Environmental/Economic Dispatch using a improved Differential Evolution, Zhang, L., Xu, X., Wang, S.-J., Zhou, C.-G., & Sun, C., 2010
  • 一种基于概念矩阵的概念格生成算法, 陈震, 张娜, & 王甦菁, 2010
模式识别 人脸识别 微表情 机器学习 图像处理 谎言识别 视觉 微表情产生 面部分析 情感识别

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