情感计算及其应用

人工智能

2013年5月至今                中国科学院大学              副教授
2009年7月至2013年4月   中国科学院研究生院       讲师

   

（1） 中国科学院大学2023年学院级研究生优秀课程, , 研究所（学校）, 2023
（2） 中国科学院大学2022年学院级研究生优秀课程, 研究所（学校）, 2022
（3） 中国科学院大学2020年校级研究生优秀课程, , 研究所（学校）, 2020
（4） 中国科学院大学2020年学院级研究生优秀课程, 研究所（学校）, 2020
（5） 中国科学院朱李月华优秀教师奖, , 院级, 2019

[1] 李保滨, 张玄. 一种基于整数阶乘分解运算的无载体的隐蔽通信系统. 202211081339.X, 2022-09-05.

[2] 李保滨, 张玄. 一种基于整数阶乘分解运算的信息编码解码方法. 202211077716.2, 2022-09-05.

[3] 李保滨, 胡国真. 一种基于比特位分组的多轮对称数字图像加密方法及系统. CN: CN113067696A, 2021-07-02.

[4] 李保滨, 胡国真. 一种基于组合混沌伪随机数发生器的数字图像加密系统. 202011244338.3, 2020-10-01.

   

[1] Tianfeng Ling, Deyuan Chen, Baobin Li. Fusing Local-Global Facial Features by NFFT for Automatic Depression Estimation. 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2024, 第 3 作者  通讯作者  https://ieeexplore.ieee.org/document/10385416.
[2] Tianfei Ling, Deyuan Chen, Baobin Li. MDAVIF: A Multi-domain Acoustical-visual Information Fusion Model for Depression Recognition from Vlog Data. 2024 IEEE International Conference on Acoustics, Speech and Signal Processing. 2024, 第 3 作者  通讯作者  
[3] Jiaxiang Cao, Yixiao Hu, Baobin Li. ERU-Net: An Enhanced Regression U-Net with Attention Gate and Adaptive Feature Fusion Block for Brain Age Prediction. 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2024, 第 3 作者  通讯作者  https://ieeexplore.ieee.org/document/10385624.
[4] Lihong Qiao, Baobin Li. Re$^3$adapter:Efficient Parameter Fing-Tuning with Triple Reparameterization for Adapter without Inference Latency. 2024 IEEE International Conference on Multimedia and Expo. 2024, 第 2 作者  通讯作者  
[5] Yeye Wen, Baobin Li, Xiaoqian Liu, Deyuan Chen, Shaoshuai Gao, Tingshao Zhu. Using gait videos to automatically assess anxiety. FRONTIERS IN PUBLIC HEALTH[J]. 2023, 第 2 作者11: https://doaj.org/article/eb99cf14cade4e438a9939472d2dc47e.
[6] Xuan Zhang, Baobin Li. Social Bot Account Detection on Microblog: A Survey. Journal of Chinese Information Processing[J]. 2023, 第 2 作者  通讯作者  36(12): 1-15, http://jcip.cipsc.org.cn/CN/Y2022/V36/I12/1.
[7] Yixiao Hu, Haolin Wang, Baobin Li. SQET: Squeeze and Excitation Transformer for High-accuracy Brain Age Estimation. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2023, 第 3 作者  通讯作者  https://ieeexplore.ieee.org/document/9995270.
[8] Guozhen Hu, Qinjian Zhang, Yang, Zhi, Li, Baobin. Accurate Brain Age Prediction Model for Healthy Children and Adolescents using 3D-CNN and Dimensional Attention. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2022, 第 4 作者  通讯作者  https://ieeexplore.ieee.org/document/9669900.
[9] Qinjiang Zhang, Baobin Li, Yang Zhi. Comparing the Effectiveness of Brain Structural Imaging, Resting-state fMRI, and Naturalistic fMRI in Recognizing Social Anxiety Disorder in Children and Adolescents. Psychiatry Research: Neuroimaging[J]. 2022, 第 2 作者  通讯作者  https://doi.org/10.1016/j.pscychresns.2022.111485.
[10] Wen, Yeye, Li, Baobin, Chen, Deyuan, Zhu, Tingshao. Reliability and validity analysis of personality assessment model based on gait video. FRONTIERS IN BEHAVIORAL NEUROSCIENCE[J]. 2022, 第 2 作者16: http://dx.doi.org/10.3389/fnbeh.2022.901568.
[11] Hu, Guozhen, Li, Baobin. Coupling chaotic system based on unit transform and its applications in image encryption. SIGNALPROCESSING[J]. 2021, 第 2 作者  通讯作者  178: http://dx.doi.org/10.1016/j.sigpro.2020.107790.
[12] Shihong Cao, Baobin Li. The Prediction of Retweeting Behavior in Microblog:A Survey. Journal of Chinese Information Processing[J]. 2021, 第 2 作者  通讯作者  http://jcip.cipsc.org.cn/CN/Y2021/V35/I6/16.
[13] Guozhen Hu, Baobin Li. A uniform chaotic system with extended parameter range for image encryption. Nonlinear Dynamics. Nonlinear Dynamics[J]. 2021, 第 2 作者  通讯作者  2819-2840, https://doi.org/10.1007/s11071-021-06228-2.
[14] Wang, Xiaoyang, Wang, Yilin, Zhou, Mingjie, Li, Baobin, Liu, Xiaoqian, Zhu, Tingshao. Identifying Psychological Symptoms Based on Facial Movements. FRONTIERS IN PSYCHIATRY[J]. 2020, 第 4 作者11: 607890, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7769937/.
[15] Wen Yeye, Chen Deyuan, Li Baobin, Wang Xiaoyang, Liu Xiaoqian, Zhu Tingshao. Predicting Personality based on Self-Introduction Video. IFAC PAPERSONLINE. 2020, 第 3 作者53(5): 452-457, http://dx.doi.org/10.1016/j.ifacol.2021.04.217.
[16] Changye Zhu a, Baobin Li, Ang Li, Tingshao Zhu. Detecting depression from Internet behaviors by time-frequency features. WEB INTELLIGENCE[J]. 2019, 17(3): 199–208-208, 10.3233/WEB-190413.
[17] Wang, Ning, Ge, Shuangkui, Li, Baobin, Peng, Lizhong. Multiple description image compression based on multiwavelets. INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING[J]. 2019, 第 3 作者  通讯作者  17(1): https://www.webofscience.com/wos/woscc/full-record/WOS:000458647200005.
[18] Li, Baobin, Wang, Ning, Li, Dengfeng. The template-based procedure of biorthogonal ternary wavelets for curve multiresolution processing. MATHEMATICAL METHODS IN THE APPLIED SCIENCES[J]. 2019, 第 1 作者42(9): 3255-3271, https://www.webofscience.com/wos/woscc/full-record/WOS:000467275100020.
[19] Yuan, YaHui, Li, Baobin, Wang, Ning, Ye, Qing, Liu, Yan, Zhu, Tingshao. Depression Identification from Gait Spectrum Features Based on Hilbert-Huang Transform. HUMAN CENTERED COMPUTING - 4TH INTERNATIONAL CONFERENCE, HCC 2018, REVISED SELECTED PAPERS. 2019, 第 2 作者  通讯作者  11354: 503-515, 
[20] Xue, Penghui, Li, Baobin, Wang, Ning, zhu, Tingshao. Emotion recognition from human gait features based on DCT transform. LECTURE NOTES IN COMPUTER SCIENCE (INCLUDING SUBSERIES LECTURE NOTES IN ARTIFICIAL INTELLIGENCE AND LECTURE NOTES IN BIOINFORMATICS). 2019, 第 2 作者11956: 511-517, 
[21] Zhao, Nan, Zhang, Zhan, Wang, Yameng, Wang, Jingying, Li, Baobin, Zhu, Tingshao, Xiang, Yuanyuan. See your mental state from your walk: Recognizing anxiety and depression through Kinect-recorded gait data. PLOS ONE[J]. 2019, 第 5 作者14(5): http://dx.doi.org/10.1371/journal.pone.0216591.
[22] Li, Baobin, Zhu, Changye, Li, Shun, Zhu, Tingshao. Identifying Emotions from Non-Contact Gaits Information Based on Microsoft Kinects. IEEE TRANSACTIONS ON AFFECTIVE COMPUTING[J]. 2018, 第 1 作者9(4): 585-591, http://dx.doi.org/10.1109/TAFFC.2016.2637343.
[23] Yuan Yahui, Li Baobin, Jiao Dongdong, Zhu Tingshao, Zu Q, Hu B. The Personality Analysis of Characters in Vernacular Novels by SC-LIWC. HUMAN CENTERED COMPUTING, HCC 2017. 2018, 第 11 作者10745: 400-409, 
[24] Li Baobin. Speech Emotion Recognition Using Local and Global Features. International Conference on Brain Informatics. 2017, 第 1 作者  通讯作者  
[25] Gao, Yuanbo, Li, Baobin, Wang, Xuefei, Wang, Jingying, Zhou, Yang, Bai, Shuotian, Zhu, Tingshao, IEEE. Detecting Suicide Ideation from Sina Microblog. 2017 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC). 2017, 第 11 作者182-187, 
[26] Li, Baobin, Peng, Lizhong. Biorthogonal Multiwavelets with Sampling Property and Application in Image Compression. CIRCUITS SYSTEMS AND SIGNAL PROCESSING[J]. 2016, 第 1 作者  通讯作者  35(3): 933-951, https://www.webofscience.com/wos/woscc/full-record/WOS:000370819100011.
[27] Zhu, CY Zhu, Changye, Li, BB Li, Baobin, Li, A Li, Ang, Zhu, TS Zhu, Tingshao. Predicting Depression from Internet Behaviors by Timefrequency Features. 2016 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE (WI 2016). 2016, 不详(不详): 383-390, http://www.chinair.org.cn/handle/1471x/1668867.
[28] Li, Shun, Cui, Liqing, Zhu, Changye, Li, Baobin, Zhao, Nan, Zhu, Tingshao. Emotion recognition using Kinect motion capture data of human gaits. PEERJ[J]. 2016, 第 4 作者4: http://dx.doi.org/10.7717/peerj.2364.
[29] Li, Baobin. Wavelet bi-frames with uniform symmetry. MATHEMATICAL METHODS IN THE APPLIED SCIENCES[J]. 2016, 第 1 作者  通讯作者  39(13): 3701-3721, http://www.corc.org.cn/handle/1471x/2375866.
[30] Li, BB Li, Baobin, Zhu, TS Zhu, Tingshao. Visualization Analysis for Big Data in Computational CyberPsychology. LECTURE NOTES IN COMPUTER SCIENCE. 2015, 8944: 701-707, http://www.chinair.org.cn/handle/1471x/1668952.
[31] Li, Baobin. Constructing totally interpolating wavelet frame systems. INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING[J]. 2015, 第 1 作者  通讯作者  13(3): http://www.corc.org.cn/handle/1471x/2376615.
[32] 李登峰, 李保滨, 田新现. 一类平衡对称向量小波滤波器组参数化公式. 中国科学. 数学[J]. 2014, 第 2 作者44(4): 381-390, https://www.sciengine.com/doi/10.1360/N012013-00099.
[33] 李保滨, 张怀. 超大规模地学数据多尺度并行抽取 与远程可视化实现. 中国科学院大学学报[J]. 2013, 第 1 作者30(4): 516-522, http://journal.ucas.ac.cn/CN/10.7523/j.issn.2095-6134.2013.04.013.
[34] Zhu, XiuGe, Li, BaoBin, Li, DengFeng. ORTHOGONAL WAVELET TRANSFORM OF SIGNAL BASED ON COMPLEX B-SPLINE BASES. INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING[J]. 2012, 第 2 作者10(6): 
[35] Jiang, Qingtang, Li, Baobin. Quad/triangle subdivision, nonhomogeneous refinement equation and polynomial reproduction. MATHEMATICS AND COMPUTERS IN SIMULATION[J]. 2012, 第 2 作者82(11): 2215-2237, http://dx.doi.org/10.1016/j.matcom.2012.04.014.
[36] Li, Baobin, Luo, Tiejian, Peng, Lizhong. BALANCED INTERPOLATORY MULTIWAVELETS WITH MULTIPLICITY r. INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING[J]. 2012, 第 1 作者  通讯作者  10(4): https://www.webofscience.com/wos/woscc/full-record/WOS:000306592300009.
[37] Li, Baobin, Li, Dengfeng. Balanced multiwavelets with optimum time-frequency resolution. MATHEMATICAL METHODS IN THE APPLIED SCIENCES[J]. 2012, 第 1 作者35(17): 2057-2066, https://www.webofscience.com/wos/woscc/full-record/WOS:000311604800006.
[38] BB Li, TJ Luo, Interpolating Multifilter Banks For Multiple Description Coding, SWS, 2011. 2011 3rd Symposium on Web Society. 2011, 
[39] Li, Baobin, Peng, Lizhong. Balanced Multiwavelets With Interpolatory Property. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2011, 第 1 作者  通讯作者  20(5): 1450-1457, https://www.webofscience.com/wos/woscc/full-record/WOS:000289844400022.
[40] Li, Baobin, Peng, Lizhong. Balanced Multifilter Banks for Multiple Description Coding. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2011, 第 1 作者  通讯作者  20(3): 866-872, https://www.webofscience.com/wos/woscc/full-record/WOS:000287400700021.
[41] Wang Ning, Li BaoBin, Peng LiZhong. Balanced multiple description subband coding based on multifilter banks. SCIENCE CHINA-INFORMATION SCIENCES[J]. 2011, 第 2 作者54(11): 2359-2372, http://lib.cqvip.com/Qikan/Article/Detail?id=39727082.
[42] Li Baobin. Multiple Description Coding Based on Multiwavelets Transforming. Proceedings of the 2nd IEEE Symposium on Web Society. 2010, 第 1 作者
[43] Jiang, Qingtang, Li, Baobin, Zhu, Weiwei. Interpolatory quad/triangle subdivision schemes for surface design. COMPUTER AIDED GEOMETRIC DESIGN[J]. 2009, 第 2 作者26(8): 904-922, http://www.corc.org.cn/handle/1471x/2404392.
[44] Li, B B, Li, D F, Shi, X L. Characterization of multiwavelets with different real dilations and translations. ACTA MATHEMATICA HUNGARICA[J]. 2009, 124(1-2): 41-57, https://www.webofscience.com/wos/woscc/full-record/WOS:000267679400004.
[45] Li Baobin. Parameterization for Balanced Multifilter Banks. International Journal of Wavelets, Multiresolution and Information Processing. 2008, 第 1 作者
[46] Li Baobin. Characterizations of Gabor Multipliers. Journal of Henan University (Natural Science). 2006, 第 1 作者

（1） 小波与滤波器组设计:理论及其应用, 清华大学出版社, 2017-08, 第 2 作者

   

（ 1 ） 中科院教育信息化子课题实景课堂, 负责人, 国家任务, 2013-01--2015-11
（ 2 ） 唐有祺院士学术成长资料采集, 负责人, 国家任务, 2012-06--2014-12
（ 3 ） 大规模地学数据多尺度并行抽取研究, 负责人, 中国科学院计划, 2012-05--2014-11
（ 4 ） 基于混合网格向量值细分曲面可计算光滑性研究, 负责人, 国家任务, 2014-01--2019-12
（ 5 ） 基于深度神经网络的自动作文评分算法研究, 参与, 国家任务, 2015-01--2020-12
（ 6 ） 多任务模型, 负责人, 研究所自主部署, 2017-01--2023-12
（ 7 ） 生物、心理特征与潜在抑郁风险相关性研究, 负责人, 研究所自主部署, 2017-01--2023-12
（ 8 ） 敏感话题汇聚数据加工, 负责人, 其他国际合作项目, 2018-01--2023-12
（ 9 ） 敏感跨媒体内容分析, 负责人, 其他国际合作项目, 2018-01--2023-12
（ 10 ） 多媒体内容分析数据加工服务, 负责人, 其他国际合作项目, 2019-11--2025-12
（ 11 ） 基于多模态行为特征的抑郁障碍辅助诊断技术研究, 负责人, 中国科学院计划, 2020-10--2022-12
（ 12 ） 基于视频数据的个体心理画像建模技术研究, 负责人, 中国科学院计划, 2021-01--2023-12
（ 13 ） **定制技术, 负责人, 国家任务, 2021-12--2023-12
（ 14 ） 多源信息融合的大学生抑郁症早期预警关键技术研究, 负责人, 国家任务, 2023-01--2027-12
（ 15 ） 科技基础资源调查专项-燕山-太行山生态环境综合科学考察与资料整编, 参与, 国家任务, 2022-10--2025-09

（1）MDAVIF: A MULTI-DOMAIN ACOUSTICAL-VISUAL INFORMATION FUSION MODEL FOR DEPRESSION RECOGNITION FROM VLOG DATA   2024-04-14
（2）ERU-Net: An Enhanced Regression U-Net with Attention Gate and Adaptive Feature Fusion Block for Brain Age Prediction   2023-12-05
（3）基于MRI的脑龄研究及在精神疾病中的应用   中华医学会第二十一次全国精神医学学术会议   2023-09-06
（4）SQET: Squeeze and Excitation Transformer for High-accuracy Brain Age Estimation   2022-12-06
（5）Accurate Brain Age Prediction Model for Healthy Children and Adolescents using 3D-CNN and Dimensional Attention   2021-12-09
（6）Parameterization for Balanced Multifilter Banks   Baobin Li   2007-11-03