0402Z2-认知神经科学

微表情的神经机制
微表情检测与识别

2008-09--2012-06   吉林大学   博士
2005-09--2007-06   吉林大学   硕士
1995-09--1997-06   江苏省广播电视大学   大专

   

2017-03~现在, 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
1999-09~2002-06,淮海工学院, 本科
1998-02~2008-06,江苏省灌云高级中学, 教师

2014-02-01-今,Neurocomputing, Associate editor

   

（1） 2018年第八届吴文俊人工智能科学技术奖, 一等奖, 部委级, 2018

[1] 王甦菁, 杨玉竹, 史志强, 张健, 朱辉. 一种电动轮椅室内自动驾驶方法. CN: CN113288608A, 2021-08-24.
[2] 王甦菁, 杨玉竹. 一种远程心率检测系统及其方法. CN: CN112669954A, 2021-04-16.
[3] 王甦菁. 一种代步车驾驶操控把手. CN: CN212243688U, 2020-12-29.
[4] 王甦菁, 贺颖, 谢海永. 一种基于光流叠加的微表情检测方法. CN: CN111626179A, 2020-09-04.
[5] 王甦菁, 张力为, 谢海永. 一种基于光流的微表情检测方法. CN: CN111461021A, 2020-07-28.
[6] 王甦菁, 陈光轩, 陈佳伟, 刘振. 一种智能遮阳座椅. CN: CN208892032U, 2019-05-24.
[7] 王甦菁, 陈光轩, 陈佳伟, 刘振. 一种智能遮阳座椅. CN: CN107997449A, 2018-05-08.
[8] 王甦菁. 一种老年智能代步车. CN: CN106542029A, 2017-03-29.

   

[1] Li, Jingting, Wang, Ting, Wang, SuJing. Facial Micro-Expression Recognition Based on Deep Local-Holistic Network. APPLIED SCIENCES-BASEL[J]. 2022, 12(9): http://dx.doi.org/10.3390/app12094643.
[2] 姚鸿勋, 邓伟洪, 刘洪海, 洪晓鹏, 王甦菁, 杨巨峰, 赵思成. 情感计算与理解研究发展概述. 中国图象图形学报[J]. 2022, 27(6): 2008-2035, http://lib.cqvip.com/Qikan/Article/Detail?id=7107539164.
[3] Dong, Zizhao, Wang, Gang, Lu, Shaoyuan, Li, Jingting, Yan, Wenjing, Wang, SuJing. Spontaneous Facial Expressions and Micro-expressions Coding: From Brain to Face. FRONTIERS IN PSYCHOLOGY[J]. 2022, 12: http://dx.doi.org/10.3389/fpsyg.2021.784834.
[4] 李婧婷, Moi Hoon Yap, Wen-Huang Cheng, John See, 洪晓鹏, Li, Xiaobai, 王甦菁. FME'22: 2nd Workshop on Facial Micro-Expression: Advanced Techniques for Multi-Modal Facial Expression Analysis. 30th ACM International Conference on Multimedianull. 2022, [5] 李婧婷, Zizhao Dong, Shaoyuan Lu, 王甦菁, 颜文靖, Yinhuan Ma, 刘烨, 黄昌兵, 傅小兰. CAS(ME)3: A Third Generation Facial Spontaneous Micro-Expression Database with Depth Information and High Ecological Validity. IEEE Transactions on Pattern Analysis and Machine Intelligence[J]. 2022, [6] Ben, Xianye, Ren, Yi, Zhang, Junping, Wang, SuJing, Kpalma, Kidiyo, Meng, Weixiao, Liu, YongJin. Video-Based Facial Micro-Expression Analysis: A Survey of Datasets, Features and Algorithms. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE[J]. 2022, 44(9): 5826-5846, [7] 鲁绍愿, 李婧婷, 王俨, 东子朝, 王甦菁, 傅小兰. A more objective quantification of micro-expression intensity through facial electromyography. 2nd Workshop on Facial Micro-Expression: Advanced Techniques for Multi-Modal Facial Expression Analysisnull. 2022, [8] 李婧婷, Moi Hoon Yap, Wen-Huang Cheng, John See, 洪晓鹏, 李晓白, 王甦菁, Adrian K Davison, Yante Li, 东子朝. MEGC2022: ACM Multimedia 2022 Micro-Expression Grand Challenge. 30th ACM International Conference on Multimedianull. 2022, [9] Li, Jingting, Dong, Zizhao, Lu, Shaoyuan, Wang, SuJing, Yan, WenJing, Ma, Yinhuan, Liu, Ye, Huang, Changbing, Fu, Xiaolan. CAS(ME) 3 : A Third Generation Facial Spontaneous Micro-Expression Database with Depth Information and High Ecological Validity.. EEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE[J]. 2022, 1-, [10] Li, Jingting, Yap, Moi Hoon, Cheng, WenHuang, See, John, Hong, Xiaopeng, Li, Xiaobai, Wang, SuJing. FME'21: 1st Workshop on Facial Micro-Expression: Advanced Techniques for Facial Expressions Generation and Spotting. MM 2021 - PROCEEDINGS OF THE 29TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIAnull. 2021, 5700-5701, [11] Wang, SuJing, He, Ying, Li, Jingting, Fu, Xiaolan. MESNet: A Convolutional Neural Network for Spotting Multi-Scale Micro-Expression Intervals in Long Videos. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2021, 30: 3956-3969, http://dx.doi.org/10.1109/TIP.2021.3064258.
[12] 张力为, 王甦菁, 段先华. 细粒度分层时空特征描述符的微表情识别方法. 计算机工程与应用[J]. 2021, 57(13): 9-, http://lib.cqvip.com/Qikan/Article/Detail?id=7105011212.
[13] Wang, SuJing, He, Ying, Li, Jingting, Fu, Xiaolan. MESNet: A Convolutional Neural Network for Spotting Multi-Scale Micro-Expression Intervals in Long Videos. IEEE TRANSACTIONS ON IMAGE PROCESSING : A PUBLICATION OF THE IEEE SIGNAL PROCESSING SOCIETY[J]. 2021, 30: 3956-3969, [14] Ben, Xianye, Ren, Yi, Zhang, Junping, Wang, Sujing, Kpalma, Kidiyo, Meng, Weixiao, Liu, Yongjin. Video-based Facial Micro-Expression Analysis: A Survey of Datasets, Features and Algorithms. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE[J]. 2021, [15] 王甦菁, 邹博超, 刘瑞, 李振, 赵国朕, 刘烨, 傅小兰. 隐藏情绪分析与识别方法. 心理科学进展[J]. 2020, 28(9): 1426-1436, http://lib.cqvip.com/Qikan/Article/Detail?id=7102672289.
[16] Li-Wei Zhang, 李婧婷, 王甦菁, Xian-Hua Duan, 颜文靖, Hai-Yong Xie, 黄树成. Spatio-Temporal Fusion for Macro-and Micro-Expression Spotting in Long Video Sequences. 15th IEEE International Conference on Automatic Face and Gesture Recognition[J]. 2020, [17] 李婧婷, 王甦菁, Moi Hoon Yap, John See, 洪晓鹏, 李晓白. MEGC2020 - The Third Facial Micro-Expression Grand Challenge. 15th IEEE International Conference on Automatic Face and Gesture Recognition[J]. 2020, [18] He, Ying, Yang, HanBo, Wang, SuJing. CDBV: A Driving Dataset With Chinese Characteristics From a Bike View. IEEE ACCESS[J]. 2019, 7: 51714-51723, https://doaj.org/article/75b432da350c4a3b81122db12b1630e6.
[19] Ying He, SuJing Wang, Jingting Li, Moi Hoon Yap. Spotting Macro- and Micro-expression Intervals in Long Video Sequences. 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020)null. 2019, http://www.chinaxiv.org/abs/201912.00026.
[20] Yang, Wankou, Wang, SuJing, Khanna, Pritee, Li, Xiong. Pattern Recognition Techniques for Non Verbal Human Behavior (NVHB). PATTERN RECOGNITION LETTERS. 2019, 125: 684-686, http://dx.doi.org/10.1016/j.patrec.2019.07.011.
[21] 刘振, 王甦菁, 李擎. 基于多任务中级特征个性化学习的微表情识别. 计算机工程与应用[J]. 2019, 55(18): 151-154, http://lib.cqvip.com/Qikan/Article/Detail?id=7100063091.
[22] SuJing Wang. potting Micro-Expressions on Long Videos Sequences. 14th IEEE International Conference on Automatic Face & Gesture Recognition. 2019, [23] Huang, Xiaohua, Wang, SuJing, Liu, Xin, Zhao, Guoying, Feng, Xiaoyi, Pietikainen, Matti. Discriminative Spatiotemporal Local Binary Pattern with Revisited Integral Projection for Spontaneous Facial Micro-Expression Recognition. IEEE TRANSACTIONS ON AFFECTIVE COMPUTING[J]. 2019, 10(1): 32-47, http://dx.doi.org/10.1109/TAFFC.2017.2713359.
[24] Kumar, Shishir, Mahanti, Prabhat, Wang, SuJing. Intelligent computational techniques for multimodal data. MULTIMEDIA TOOLS AND APPLICATIONS. 2019, 78(17): 23809-23814, http://dx.doi.org/10.1007/s11042-019-07936-z.
[25] Li, Jingting, Soladie, Catherine, Seguier, Renaud, Wang, SuJing, Yap, Moi Hoon, IEEE. Spotting Micro-Expressions on Long Videos Sequences. 2019 14TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE AND GESTURE RECOGNITION (FG 2019)[J]. 2019, 663-667, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000484960400097.
[26] See, John, Yap, Moi Hoon, Li, Jingting, Hong, Xiaopeng, Wang, SuJing. MEGC 2019 - The second facial micro-expressions grand challenge. PROCEEDINGS - 14TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE AND GESTURE RECOGNITION, FG 2019null. 2019, [27] Wang, SuJing, Lin, Bo, Wang, Yong, Yi, Tongqiang, Zou, Bochao, Lyu, Xiangwen. Action Units recognition based on Deep Spatial-Convolutional and Multi-label Residual network. NEUROCOMPUTING[J]. 2019, 359: 130-138, http://dx.doi.org/10.1016/j.neucom.2019.05.018.
[28] Li, Jingting, Soladi, Catherine, Sguier, Renaud, Wang, SuJing, Yap, Moi Hoon. Spotting micro-expressions on long videos sequences. PROCEEDINGS - 14TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE AND GESTURE RECOGNITION, FG 2019null. 2019, [29] See John, Yap Moi Hoon, Li Jingting, Hong Xiaopeng, Wang SuJing, IEEE. MEGC 2019-The Second Facial Micro-Expressions Grand Challenge. 2019 14TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE AND GESTURE RECOGNITION (FG 2019)[J]. 2019, 647-651, [30] Yap Moi Hoon, See John, Hong Xiaopeng, Wang SuJing, IEEE. Facial Micro-Expressions Grand Challenge 2018 Summary. PROCEEDINGS 2018 13TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE & GESTURE RECOGNITION (FG 2018)null. 2018, 675-678, http://dx.doi.org/10.1109/FG.2018.00106.
[31] Qu, Fangbing, Wang, SuJing, Yan, WenJing, Li, He, Wu, Shuhang, Fu, Xiaolan. CAS(ME)(2): A Database for Spontaneous Macro-Expression and Micro-Expression Spotting and Recognition. IEEE TRANSACTIONS ON AFFECTIVE COMPUTING[J]. 2018, 9(4): 424-436, http://dx.doi.org/10.1109/TAFFC.2017.2654440.
[32] Wang, SuJing, Li, BingJun, Liu, YongJin, Yan, WenJing, Ou, Xinyu, Huang, Xiaohua, Xu, Feng, Fu, Xiaolan. Micro-expression recognition with small sample size by transferring long-term convolutional neural network. NEUROCOMPUTING[J]. 2018, 312: 251-262, http://dx.doi.org/10.1016/j.neucom.2018.05.107.
[33] 王甦菁. 基于深度学习的微表情检测和识别的研究. 2018, [34] Kumar, Shishir, Mahanti, Prabhat, Wang, SuJing. Intelligent computational techniques. JOURNAL OF COMPUTATIONAL SCIENCE. 2018, 25: 201-203, http://dx.doi.org/10.1016/j.jocs.2018.02.005.
[35] Niu, Mingyue, Li, Ya, Tao, Jianhua, Wang, SuJing. Micro-Expression Recognition Based on Local Two-Order Gradient Pattern. 2018 1ST ASIAN CONFERENCE ON AFFECTIVE COMPUTING AND INTELLIGENT INTERACTION, ACII ASIA 2018null. 2018, http://www.irgrid.ac.cn/handle/1471x/2327830.
[36] Wang,SuJing, Wu,Shuhang, Qian,Xingsheng, Li,Jingxiu, Fu,Xiaolan. A main directional maximal difference analysis for spotting facial movements from long-term videos. NEUROCOMPUTING[J]. 2017, 230: 382-389, http://dx.doi.org/10.1016/j.neucom.2016.12.034.
[37] Wang, SuJing, Wu, Shuhang, Fu, Xiaolan, Chen, CS, Lu, J, Ma, KK. A Main Directional Maximal Difference Analysis for Spotting Micro-expressions. COMPUTER VISION - ACCV 2016 WORKSHOPS, PT IInull. 2017, 10117: 449-461, http://dx.doi.org/10.1007/978-3-319-54427-4_33.
[38] Chen, HuiLing, Wang, Gang, Ma, Chao, Cai, ZhenNao, Liu, WenBin, Wang, SuJing. An efficient hybrid kernel extreme learning machine approach for early diagnosis of Parkinson's disease. NEUROCOMPUTING[J]. 2016, 184: 131-144, http://dx.doi.org/10.1016/j.neucom.2015.07.138.
[39] Wang,SuJing, Yan,WenJing, Sun,Tingkai, Zhao,Guoying, Fu,Xiaolan. Sparse tensor canonical correlation analysis for micro-expression recognition. NEUROCOMPUTING[J]. 2016, 214: 218-232, http://dx.doi.org/10.1016/j.neucom.2016.05.083.
[40] Yu,Minjing, Liu,YongJin, Wang,SuJing, Fu,Qiufang, Fu,Xiaolan. A PMJ-inspired cognitive framework for natural scene categorization in line drawings. NEUROCOMPUTING[J]. 2016, 173: 2041-2048, http://dx.doi.org/10.1016/j.neucom.2015.09.046.
[41] Liu YongJin, Zhang JinKai, Yan WenJing, Wang SuJing, Zhao Guoying, Fu Xiaolan. A Main Directional Mean Optical Flow Feature for Spontaneous Micro-Expression Recognition. IEEETRANSACTIONSONAFFECTIVECOMPUTING[J]. 2016, 7(4): 299-310, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000389328800001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=3a85505900f77cc629623c3f2907beab.
[42] Huang Xiaohua, Wang SuJing, Zhao Guoying, Pietikainen Matti, IEEE. Facial Micro-Expression Recognition using Spatiotemporal Local Binary Pattern with Integral Projection. 2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOP (ICCVW)null. 2015, 1-9, http://dx.doi.org/10.1109/ICCVW.2015.10.
[43] Wang, Su-Jing, Yan, Wen-Jing, Li, Xiaobai, Zhao, Guoying, Zhou, Chun-Guang, Fu, Xiaolan, Yang, Minghao, Tao, Jianhua. Micro-Expression Recognition Using Color Spaces. IEEETRANSACTIONSONIMAGEPROCESSING[J]. 2015, 24(12): 6034-6047, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000364992700004&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=3a85505900f77cc629623c3f2907beab.
[44] Yan, WJ Yan, WenJing, Wang, SJ Wang, SuJing, Chen, YH Chen, YuHsin, Zhao, GY Zhao, Guoying, Fu, XL Fu, Xiaolan. Quantifying Micro-expressions with Constraint Local Model and Local Binary Pattern. COMPUTER VISION - ECCV 2014 WORKSHOPS, PT Inull. 2015, 8925(不详): 296-305, [45] Wang, SuJing, Yan, WenJing, Li, Xiaobai, Zhao, Guoying, Zhou, ChunGuang, Fu, Xiaolan, Yang, Minghao, Tao, Jianhua. Micro-Expression Recognition Using Color Spaces. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2015, 24(12): 6034-6047, http://dx.doi.org/10.1109/TIP.2015.2496314.
[46] SuJing Wang, WenJing Yan, Guoying Zhao, Xiaolan Fu, ChunGuang Zhou. Micro-Expression Recognition Using Robust Principal Component Analysis and Local Spatiotemporal Directional Features. 13TH EUROPEAN CONFERENCE ON COMPUTER VISION (ECCV)null. 2015, 8925(不详): 325-338, http://www.chinair.org.cn/handle/1471x/1667688.
[47] Wang SJ Wang SuJing, Zhao GY Zhao Guoying, Huang XH, Pietikainen M Pietikainen Matti, Huang XH Huang Xiaohua. Facial Micro-Expression Recognition using Spatiotemporal Local Binary Pattern with Integral Projection. 2015, http://ir.psych.ac.cn/handle/311026/25662.
[48] Chen, Hui Ling, Yang, Bo, Wang, Su Jing, Wang, Gang, Liu, Da You, Li, Huai Zhong, Liu, Wen Bin. Towards an optimal support vector machine classifier using a parallel particle swarm optimization strategy. APPLIED MATHEMATICS AND COMPUTATION[J]. 2014, 239: 180-197, http://dx.doi.org/10.1016/j.amc.2014.04.039.
[49] WenJing Yan, Qi Wu, SuJing Wang, Xiaolan Fu, YongJin Liu. CASME Database A Dataset of Spontaneous MicroExpressions Collected From Neutralized Faces. 不详[J]. 2014, 1-7, http://ir.psych.ac.cn/handle/311026/25606.
[50] Wang, SuJing, Chen, HuiLing, Yan, WenJing, Chen, YuHsin, Fu, Xiaolan. Face Recognition and Micro-expression Recognition Based on Discriminant Tensor Subspace Analysis Plus Extreme Learning Machine. NEURAL PROCESSING LETTERS[J]. 2014, 39(1): 25-43, http://dx.doi.org/10.1007/s11063-013-9288-7.
[51] Yan, WenJing, Wang, SuJing, Liu, YongJin, Wu, Qi, Fu, Xiaolan. For micro-expression recognition: Database and suggestions. NEUROCOMPUTING[J]. 2014, 136(136): 82-87, http://dx.doi.org/10.1016/j.neucom.2014.01.029.
[52] SuJing Wang, WenJing Yan, Xiaobai Li, Guoying Zhao, Xiaolan Fu. Micro-expression Recognition Using Dynamic Textures on Tensor Independent Color Space. 2014 22ND INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR)null. 2014, 678-4683, http://www.chinair.org.cn/handle/1471x/1668851.
[53] Wang, Su-Jing, Yan, Shuicheng, Yang, Jian, Zhou, Chun-Guang, Fu, Xiaolan. A General Exponential Framework for Dimensionality Reduction. IEEETRANSACTIONSONIMAGEPROCESSING[J]. 2014, 23(2): 920-930, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000329581800034&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=3a85505900f77cc629623c3f2907beab.
[54] Yan, Wen-Jing, Li, Xiaobai, Wang, Su-Jing, Zhao, Guoying, Chen, Yu-Hsin, Fu, Xiaolan. CASME II: An Improved Spontaneous Micro-Expression Database and the Baseline Evaluation. PLOSONE[J]. 2014, 9(1): 1-8, http://www.irgrid.ac.cn/handle/1471x/979845.
[55] 王甦菁. 基于稀疏张量的微表情识别研究. 2014, [56] Wang, Su-Jing, Zhou, Chun-Guang, Fu, Xiaolan. Fusion Tensor Subspace Transformation Framework. PLOSONE[J]. 2013, 8(7): http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000321271900003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=3a85505900f77cc629623c3f2907beab.
[57] 梁静, 颜文靖, 吴奇, 申寻兵, 王甦菁, 傅小兰. 微表情研究的进展与展望. 中国科学基金[J]. 2013, 27(2): 75-78,82, http://kns.cnki.net/KCMS/detail/detail.aspx?QueryID=0&CurRec=68&recid=&FileName=ZKJJ201302005&DbName=CJFD2013&DbCode=CJFQ&yx=&pr=&URLID=&bsm=QK0101;QS0101;.
[58] 王甦菁. 微表情自动识别最新进展. http://www.chinair.org.cn/handle/1471x/1667778.

   

（ 1 ） 基于稀疏张量的微表情识别研究, 负责人, 国家任务, 2014-01--2017-12
（ 2 ） 基于稀疏张量和深度学习的微表情识别的研究, 负责人, 地方任务, 2015-01--2017-06
（ 3 ） 特征空间中的稀疏表示及其分类研究, 参与, 国家任务, 2015-01--2018-12
（ 4 ） 基于深度学习的微表情检测和识别的研究, 负责人, 国家任务, 2018-01--2021-12
（ 5 ） 面向审讯场景的无感知情绪监测分析技术研究, 负责人, 企业委托, 2019-02--2020-06
（ 6 ） 面向社会公共安全的隐藏情绪分析与识别方法研究, 负责人, 国家任务, 2020-01--2023-12

已指导学生

李振  硕士研究生  045400-应用心理  

现指导学生

鲁绍愿  硕士研究生  040201-基础心理学  

王俨  硕士研究生  045400-应用心理