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面向未来教育,探索智能技术,推动教育创新

孙波

北京师范大学未来教育学院
tosunbo@bnu.edu.cn
个人简介
孙波教授,北京师范大学珠海校区副教务长,未来教育学院副院长,人工智能与未来网络研究院教授。全国信息技术标准化技术委员会信息技术服务分技术委员会委员,全国高等院校计算机基础教育研究会青少年编程教育专业委员会副主任委员,中国计算机学会高级会员,中国图形图像学会高级会员,ACM会员,IEEE会员。担任国家自然科学基金项目评议专家,北京市自然科学基金项目评审专家,教育部学位与研究生教育专家库成员。主要从事机器学习与情感计算,计算机视觉与图像识别,人工智能与大数据教育应用的理论研究与核心技术研发。主讲算法设计与分析、编译原理等专业课程。主持课题包括国家自然科学基金项目,国家重点研发计划子课题,北京市自然科学基金项目,全国教育科学规划“十一五”、“十二五”课题,中央高校基本科研业务费专项资金资助项目以及多个政府招标项目。近10年发表SCI期刊论文近30篇,其他期刊和会议论文数十篇。
研究领域
机器学习与情感计算,计算机视觉与图像识别,人工智能与大数据教育应用
招收硕/博
招收学术\教育博士、学术专业硕士,人工智能、学科教育、应用统计方向
  • 教学实践

    《数据结构》
    《算法设计与分析》
    《编译原理》
  • 研究项目

    [1] 2021.1-2024.12,国家自然基金面上项目,“基于时空深度神经网络的课堂师生交互情感识别与视频描述方法研究”(项目编号:62077009),主持人;
    [2] 2022.1-2024.12,广东省自然科学基金面上项目,“基于多模态融合深度神经网络的启发式教学自动评价方法研究”(项目编号:2214050002868),主持人;
    [3] 2022.01.01-2022.12.31,广东省2021年度教育科学规划课题(高等教育专项),“粤港澳大湾区背景下内外双驱式港澳青少年国情教育体系的构建和实施” (项目批准号:2021GXJK466),主持人;
    [4] 2021.06-2021.12,“佛山市禅城区教育信息化十四五规划编制”,主持人;
    [5] 2018.1-2020.12,北京市自然科学基金面上项目,“基于深度时域滤波网络和多任务学习的学生课堂情感识别方法研究”(项目编号4182031),主持人;
    [6] 2017.07-2020.12,2017年度国家重点研发计划“战略性先进电子材料”重点专项,“千瓦级准连续全固态激光材料与器件关键技术”(编号2017YFB0405100),第一课题“激光对材料的损伤机理和激光清洗的动力学过程研究”的子课题“基于图像的激光清洗的动力学过程和材料特性变化的研究”,子课题负责人;
  • 学术成果

    论文

    [1] 孙波. 人工智能与未来教育国际前沿研究[J], 中国教育信息化. 2022,28(01),pp:3

    [2] 孙波. 可解释的人工智能:打开未来智能教育“黑箱”的钥匙[J], 中国教育信息化. 2022,28(01),pp:3-4

    [3] 德拉甘·加塞维奇,吴志超,卢思旭,孙波,何珺*. 人工智能与面向未来的学习分析[J], 中国教育信息化. 2022,28(03),pp:5-12

    [4] 杰勒米·诺克斯,崔新,金俞,孙波*. 大数据、人工智能与未来学习[J], 中国教育信息化. 2022,28(02),pp:5-12

    [5] Sun, Bo; Cao, Siming; Li, Dongliang; He, Jun*; Yu, Lejun, “Dynamic Micro-Expression Recognition Using Knowledge Distillation” IEEE Transactions on Affective Computing, Volume: 13, Issue: 2, APRIL-JUNE 2022, pp: 1037-1043, DOI: 10.1109/TAFFC.2020.2986962

    [6] He J, Peng L, Zhang Y, Sun Bo*. “Machine Reading Comprehension with Rich Knowledge”[J]. International Journal of Pattern Recognition and Artificial Intelligence, Vol.36.No.05, 2022.4: 2251004.( DOI: 10.1142/S0218001422510041) (JCR Q4)

    [7] Peng Li and Bo Sun*. “Integration of Multi-Omics Data to Identify Cancer Biomarkers”. Journal of Information Technology Research (JITR), Volume 15:6 Issues, 2022(1) DOI:10.4018/JITR.2022010105(EI)

    [8] Sun, B (Sun, Bo), Wu, Y (Wu, Yong), Zhao, KJ (Zhao, Kaijie), He, J (He, Jun)*, Yu, LJ (Yu, Lejun), Yan, HQ (Yan, Huanqing), Luo, AO (Luo, Ao), “Student Class Behavior Dataset: a video dataset for recognizing, detecting, and captioning students' behaviors in classroom scenes”[J], Neural Computing & Applications, DOI: 10.1007/s00521-020-05587-y, Jul 2021 (SCI, WOS: 000613049600001) (JCR Q1; IF 5.606)

    [9] Wang, WD, Wang, ZY, Zhang, YH, Sun, B*, Xia, K, “Learning Order Parameters from Videos of Skyrmion Dynamical Phases with Neural Networks”, Physical Review Applied, No.1 Vol.16, JUL 2 2021(JCR Q1; IF 4.985)

    [10] Sun, B (Sun, Bo), Wu, Y (Wu, Yong), et al. “Cross-language multimodal scene semantic guidance and leap sampling for video captioning”, Visual Computer (Accepted) (JCR Q2)

    [11] He, Jun, Yu, XiaoCcui, Sun, Bo*, Yu, LeJun, “Facial expression and action unit recognition augmented by their dependencies on graph convolutional networks”[J], Journal on Multimodal User Interfaces, DOI: 10.1007/s12193-020-00363-7, Jan 2021(SCI, WOS: 000611966900001) (Early Access) (JCR Q3)

    [12] Bo Sun, Zeng Yao, Yinghui Zhang, Lejun Yu*, Local relation network with multilevel attention for visual question answering, Journal of Visual Communication and Image Representation, Volume 73, November 2020, 102762(SCI, WOS:000626721200001)

    [13] Jun H, Yijia Z, Bo S*, et al. “Feedback evaluations to promote image captioning” [J]. IET Image Processing, v14n13, DOI: 10.1049/iet-ipr.2019.1317, pp:3021-3027(SCI, WOS: 000595800300008) November 2020

    [14] Sun, Bo; Xu, Chang; He, Jun*; Yu, Lejun; Zhang, Yinghui. “Cleanliness prediction of rusty iron in laser cleaning using convolutional neural networks”,APPLIED PHYSICS A-MATERIALS SCIENCE & PROCESSING, v126 n3, DOI: 10.1007/s00339-020-3363-5, FEB 11 2020 (SCI, WOS: 000514606500006)

    [15] Qihua Xua; Sun, Bo*. "Emotion Recognition Model Based on the Dempster-Shafer Evidence Theory", Journal of Electronic Imaging, V29 N 2, DOI: 10.1117/1.JEI.29.2.023018, MAR 2020 (SCI, WOS: 000531056800018)

    [16] Song Lai, Bo Sun*, Fati Wu, Rong Xiao, “Automatic personality identification using students' online learning behavior”, IEEE Transactions on Learning Technologies, Volume:13, Issue:1,Jan.-March 1 2020,pp. 26-37, DOI:https://doi.org/10.1109/tlt.2019.2924223 (SCI, WOS:000522219600003)

    [17] Zhang, YingHui; Zhao, YiJia; Sun, Bo*; He, Jun. “Visualizing the prediction of laser cleaning: a dynamic preview method with multi-scale conditional generative adversarial network”, APPLIED OPTICS, v 58, n 31, 8344-8353, DOI: 10.1364/AO.58.008344, NOV 1 2019(SCI, WOS: 000493962000001)

    [18] Jun He, Dongliang Li, Sun Bo* and Lejun Yu. Facial Action Unit Detection with Multilayer Fused MultiTask and Multi-Label Deep Learning Network, KSII Transactions on Internet and Information Systems, v13n11, pp:5546-5559, NOV 30 2019 (WOS: 000500282900015)

    [19] Qinglan Wei, Elif Bozkurt, Louis-Philippe Morency, Bo Sun(*). Spontaneous smile intensity estimation by fusing Saliency Maps and CNNs, Journal of Electronic Imaging, v28, n2, DOI: 10.1117/1.JEI.28.2.023031, MAR 2019(WOS:000473731200045)

    [20] Y. Zhang, B. Sun(*), Y. Xiao et al.. Feature augmentation for imbalanced classification with conditional mixture WGANs, Signal Processing: Image Communication (2019), https://doi.org/10.1016/j.image.2019.03.010 (WOS:000471363200009)(WOS JCR-Q2)

    [21] Bo Sun, Yinghui Zhang, Jun He(*), Yongkang Xiao, Rong Xiao. An automatic diagnostic network using skew-robust adversarial discriminative domain adaptation to evaluate the severity of depression, Computer Methods and Programs in Biomedicine(2019),https://doi.org/10.1016/j.cmpb.2019.01.006 (WOS:000466148700018)(WOS JCR-Q1/ Q2)

    [22] Bo Sun, Meng G, Cao S, et al.. Dual-level attention-aware network for temporal emotion segmentation[J], Journal of Electronic Imaging, 2018, 27(3):1 (WOS:000437982900012)

    [23] Bo Sun, Yunzong Zhu, Yongkang Xiao, Rong Xiao and Yungang Wei. Automatic Question Tagging with Deep Neural Networks[J], IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES, PP(99):1-1· Feb 2018

    [24] Bo Sun, Wei Q, He J , et al. BNU-LSVED 2.0: Spontaneous multimodal student affect database with multi-dimensional labels[J], Signal Processing: Image Communication, 2017:S0923596517301510  (WOS JCR-Q2)

    [25] Sun B, Cao S, He J(*), et al. Affect recognition from facial movements and body gestures by hierarchical deep spatio-temporal features and fusion strategy.[J], Neural Networks, 2017, 105:S0893608017302848 (WOS JCR-Q1,TOP)

    [26] Bo Sun;Siming Cao; Jun He(*); Lejun Yu; Liandong Li, Automatic temporal segment detection via bilateral long short-term memory recurrent neural networks[J], J. Electron. Imaging. 26(2), 020501 (Mar, 2017).doi:10.1117/1.JEI.26.2.020501.

    [27] Bo Sun, Liandong Li, Guoyan Zhou, Jun He(*), Facial expression recognition in the wild based on multimodal texture features [J], J. Electron. Imaging. 25(6), 061407 (2016), doi: 10.1117/ 1.JEI.25.6.061407(WOS:000397059200008)

    [28] Bo Sun, Qihua Xu, Jun He(*), Zhen Liu, Ying Wang, Fengxiang Ge, Damage assessment framework for landslide disaster based on very high-resolution images[J], J. Appl. Remote Sens. 10(2), 025027 (2016), doi: 10.1117/1.JRS.10.025027

    [29] Bo Sun, Liandong Li, Xuewen Wu, Tian Zuo, Ying Chen, Guoyan Zhou. Combining Feature-Level and Decision-Level Fusion in a Hierarchical Classifier for Emotion Recognition in the Wild, Journal on Multimodal User Interfaces. Volume 10, Issue 2, p 125-137, June 1, 2016; DOI: 10.1007/s12193-015-0203-6

    [30] Bo Sun, Feng Xu, Guoyan Zhou, Jun He(*). Weighted Joint Dynamic Sparse Representation based Classification Method for Robust Alignment-free Face Recognition, J. Electron. Imaging. Jan.2015

    [31] Sun Bo, Xu Feng, He Jun(*),Wu Xuewen. A Clustering-Weighted SIFT-Based Classification Method via Sparse Representation, J. Electron. Imaging. Jul.2014




    专著

    [1] 《计算机网络协议与服务的研究》,朱小明;孙波,书号:,北京理工大学出版社,2019年10月;

    [2] 《3D虚拟世界设计与制作》,副主编,书号:978-7-121-25690-5,电子工业出版社,2015年;




    会议

    [1] B. Sun, H. Li, R. Zhong, et al., "Adversarial Training Leaded Robust MRC Method", 2021 The 6th International Symposium on Emerging Technologies for Education, 2021

    [2] R. Zheng, R. Xiao, Y. Xiao, et al., "Deep Knowledge Tracking based on Exercise Semantic Information", 2021 The 6th International Symposium on Emerging Technologies for Education, 2021

    [3] B. Sun, S. Lu, Y. Wen, J. He and L. Yu, "Analyses and Benchmark of a Spontaneous Student Affect Database," 2021 23rd IEEE International Symposium on Multimedia (IEEE ISM)

    [4] J. He, L. Peng, B. Sun, L. Yu and M. Guo, "Dual Multi-Task Network with Bridge-Temporal-Attention for Student Emotion Recognition via Classroom Video", 2021 International Joint Conference on Neural Networks (IJCNN), 2021, pp. 1-8, doi: 10.1109/IJCNN52387.2021.9533471. (CCF C)

    [5] Y. Zhang, C. Liu, B. Sun, J. He and L. Yu, "NIR-VIS Heterogeneous Face Synthesis via Enhanced Asymmetric CycleGAN", 2021 International Joint Conference on Neural Networks (IJCNN), 2021, pp. 1-8, doi: 10.1109/IJCNN52387.2021.9533625. (CCF C)

    [6] B. Sun, Y. Wu, Z. Hao, H. Yan and J. He, "Student Break Behavior Recognition Dataset", 2021 6th International Conference on Image, Vision and Computing (ICIVC), 2021, pp. 72-75, doi: 10.1109/ICIVC52351.2021.9527012.

    [7] He, J., Yu, X., Sun, B., & Xiao, Y.. “Facial action units recognition by de-expression residue learning”. Proceedings of SPIE - The International Society for Optical Engineering, v 11187, 2019, Optoelectronic Imaging and Multimedia Technology VI; ISSN: 0277786X, E-ISSN: 1996756X; ISBN-13: 9781510630918; DOI: 10.1117/12.2539053

    [8] He, J., Yan, H., Xiao, Y., Sun, B., Yu, L., & Zhao, K. “Improvement of semi-supervised learning in real application scenarios”. Proceedings of SPIE - The International Society for Optical Engineering, v 11187, 2019, Optoelectronic Imaging and Multimedia Technology VI;  ISSN: 0277786X,  E-ISSN: 1996756X;  ISBN-13: 9781510630918;  DOI: 10.1117/12.2539055; October 21, 2019 - October 23, 2019, Hangzhou China

    [9] Sun, B., Zhao, K., Xiao, Y., He, J., Yu, L., Wu, Y., & Yan, H. “BNU-LCSAD: A video database for classroom student action recognition”. Proceedings of SPIE - The International Society for Optical Engineering, v 11187, 2019, Optoelectronic Imaging and Multimedia Technology VI; ISSN: 0277786X, E-ISSN: 1996756X; ISBN-13: 9781510630918; DOI: 10.1117/12.2539052; October 21, 2019 - October 23, 2019, Hangzhou China

    [10] Jun He, Xiaocui Yu, Lejun Yu, Bo Sun, “Facial Emotion and Action Unit Recognition based on Bayesian Network”, 8th International Conference on Computing and Pattern Recognition, ICCPR 2019

    [11] Siming Cao, Kaijie Zhao, Lejun Yu, Penghao Rao, Xiaocui Yu, Yongkang Xiao, Huanqing Yan, Jun He, “Bipolar Disorder Classification based on Multimodal Recordings”, ICCPR 2019

    [12] Sun, Bo; Cao, Siming; He, Jun*; Yu, Lejun, “Two-stream attention-aware network for spontaneous micro-expression movement spotting”, Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS, v 2019-October, p 702-705, October 2019, Proceedings of 2019 IEEE 10th International Conference on Software Engineering and Service Science

    [13] Jun He, Penghao Rao, Siming Cao, Bo Sun, Lejun Yu, Huanqing Yan, Yongkang Xiao, “Cross-culture Continuous Emotion Recognition with Multimodal Features”, 8th International Conference on Computing and Pattern Recognition, ICCPR 2019




    专利

    [1] 专利名称:“一种基于自然引导和数据增强的违禁物品检测方法及系统”,中国,发明专利,专利号:202210683874.6,申请日:2022年6月17日;申请人:北京师范大学;发明人:孙波、何珺、张迎辉、钟阳财、刘筠;

    [2] 专利名称:“引入多重文本关系的阅读理解试题难度自动预测方法”,中国,发明专利,专利号:202110950774.9,申请日:2021年8月18日;申请人:北京师范大学;发明人:何珺、张迎辉、孙波、余乐军、彭丽;

    [3] 专利名称:“融合答题记录和题目语义的深度知识追踪模型”,中国,发明专利,专利号:2021111273766.3,申请日:2022年1月28日;申请人:北京师范大学;发明人:张迎辉、孙波、肖融、肖永康、郑瑞丽、何珺;

    [4] 专利名称:“可持续学习的任务交互智能检测方法、系统及可存储介质”,中国,发明专利,专利号:202210240443.2,申请日:2022年3月10日;申请人:北京师范大学;发明人:何珺、孙波、卢思旭、张迎辉、余乐军;

    [5] 专利名称:“激光清洗效果预览方法及装置”,中国,发明专利,专利号:ZL2019105757724.1,授权公告日:2021年6月1日;申请人:北京师范大学;发明人:何珺、张迎辉、孙波、余乐军;

    [6] 专利名称:“激光清洗参数生成方法及装置”,中国,发明专利,专利号:ZL201910575762.7,授权公告日:2021年4月27日;申请人:北京师范大学;发明人:孙波,何珺,余乐军,徐畅;

    [7] 专利名称:“一种基于额头区域的人脸检测方法及系统”,中国,发明专利,专利号:201610607532.0,授权公告日:2019年3月18日;申请人:北京师范大学;发明人:孙波,何珺,余乐军,张迪;

    [8] 专利名称:“一种多模态情感识别分类方法”,中国,发明专利,专利号:ZL201711144196.1;授权公告日:2020年5月5日;申请人:北京师范大学;发明人:孙波,何珺,余乐军,曹斯铭;

    [9] 专利名称:“一种帧内快速编码方法及系统”,中国,发明专利,专利号:ZL2014 1 0073802.5,授权公告日:2017年6月30日;申请人:北京师范大学;发明人:余乐军,孙波,何珺,葛凤翔,黄小芳;

    [10] 专利名称:“基于稀疏表示分类的滑坡泥石流区域检测方法”,发明专利,专利号:ZL201510081296.9,授权公告日:2017年11月7日;申请人:北京师范大学;发明人:孙波,何珺,刘臻,葛凤翔,郝卓,徐其华,

    [11] 专利名称:“基于图像分块和位置加权的稀疏表示目标识别方法”,中国,发明专利,专利号:ZL 201210581686.9,授权公告日:2016年5月18日;申请人:北京师范大学;发明人:何珺、孙波,吴学文,葛凤翔,余乐军;

    [12] 专利名称:“一种面向IPv6的路径MTU发现方法及系统”,中国,发明专利,专利号:ZL 2009 1 0084026.8,授权公告日:2012年05月23日;申请人:北京师范大学;发明人:肖融,孙波,何珺,肖永康,胡晓雁;

    [13] 专利名称:“ATGP-VCA投影向量获取方法”,中国,发明专利,专利号:ZL 200910090193.3,授权公告日:2011年12月21日;申请人:北京师范大学;发明人:何珺,胡晓雁,孙波,余乐军,张熙予;

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