关于我们 关于我们

关于我们

面向未来教育,探索智能技术,推动教育创新

何珺

北京师范大学未来教育学院
hejun@bnu.edu.cn
个人简介
何珺,博士,副教授。关注创新思维课程建设和人才培养,建设卓越教师特色养成课程,探索实践创新人才培养模式;从事教育数据库建设、计算机视觉计算和机器阅读理解方法研究。近年,一直承担北京师范大学通识课及信息科学与技术/人工智能学院计算机师范生必修课《机器人创新设计与竞赛》,北京师范大学未来教育学院人文必修课《信息技术基础》、卓越教师养成选修课《Microsoft Office 软件国际认证专修课》和《机器人创新与设计》;主持北京师范大学相关教学改革项目3项,培养计算机师范生70余名;指导本科生创业项目获得“第五届中国‘互联网+’大学生创新创业大赛(北京赛区)“三等奖;主持北京市大学生毕业设计(创业类)项目4项,指导多名师范生,已在包括宁夏、新疆等多省市重点中学任教;参与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活动,参与青少年编程教材编写任务。近5年主持北京高等学校高水平人才交叉培养计划项目4项,主持或参与10余项国家级、省部级和横向项目;在模式识别、深度学习等领域发表论文40余篇、获得发明专利7项。
研究领域
机器学习,情感计算,计算机视觉,智慧教育
招收硕/博
招收教育博士、学术/专业硕士,通信与信号处理、应用统计、学科教育方向
  • 教学实践

    《机器人创新设计与竞赛》
    《Microsoft Office 软件国际认证专修课》
    《信息技术基础》
    《数据结构》
  • 研究项目

    [1] 2022.1-2025.12,国家自然基金,面上项目,“基于弱监督和图网络的课堂交互结构化建模与视频描述方法研究”(项目号:62177006),主持人;
    [2] 2016.01-2019.12,国家自然基金,青年项目,“结合图像块联合聚类加权和混合分类器的非对齐稀疏表示识别方法”(项目号:61501035),主持人;
    ​[3] 2014.5-2015.10,国防科工局高分专项(民用部分)项目子课题,“滑坡泥石流灾情动态提取技术研究”,主持人;
    [4] 2020.10-2022.10,北京一体通探测技术有限公司,“智能化手提行李安检信息分层管理系统(服务器)软件研发”,主持人;
    [5] 2017.04-2021.3,中国计量科学研究院,“矢量网络分析仪校准件模型提取算法”,主持人;
    [6] 2011.06-2011.12,中国计量科学研究院,“研究建立异构材料的毫米波传输模型”,主持人;
    [7] 2011.06-2011.12,中国计量科学研究院,“毫米波传输描述参数模型”,主持人;
  • 学术成果

    论文

    [1] Jun He, Li Peng, Yinghui Zhang, Bo Sun*, et al. “Machine Reading Comprehension with Rich Knowledge”[J]. International Journal of Pattern Recognition and Artificial Intelligence, 2022

    [2] Sun, B., Wu, Y., Zhao, Y. Hao Zh., Yu L., He J.*, “Cross-language multimodal scene semantic guidance and leap sampling for video captioning” [J].  The Visual Computer (2022). https://doi.org/10.1007/s00371-021-02309-w,

    [3] J He,X Yu,B Sun,L Yu; “Facial expression and action unit recognition augmented by their dependencies on graph convolutional networks”, Journal on Multimodal User Interfaces, DOI10.1007/s12193-020-00363-7, JAN 2021(WOS: 000611966900001)

    [4] Sun, Bo; Wu, Yong; Zhao, Kaijie; He, Jun*; Yu, Lejun; Yan, Huanqing; Luo, Ao; “Student Class Behavior Dataset: a video dataset for recognizing, detecting, and captioning students’ behaviors in classroom scenes”, Neural Computing and Applications, DOI: 10.1007/s00521-020-05587-y, Jan.2021(WOS:000613049600001) (JCR Q1; IF4.774)

    [5] B. Sun, S. Cao, D. Li, J. He* and L. Yu, "Dynamic Micro-Expression Recognition Using Knowledge Distillation,"  IEEE Transactions on Affective Computing, doi: 10.1109/TAFFC.2020.2986962.. (JCR Q1; IF5.312)

    [6] Sun, B (Sun, Bo); Xu, C (Xu, Chang); He, J (He, Jun)*; Yu, LJ (Yu, Lejun); Zhang, YH (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 (WOS: 000514606500006) (JCR Q3; IF1.81; 他引:1)

    [7] Jun H (He, Jun), Yijia Z, Bo S*, et al. “Feedback evaluations to promote image captioning” [J]. IET IMAGE PROCESSING, v14 n13, pp:3021-3027, DOI: 10.1049/iet-ipr.2019.1317, NOV 2020 (WOS:000595800300008) (JCR Q3; IF1.995)

    [8] Zhang, Y., Zhao, Y., Sun, B*., & He, J (He, Jun) *. "Visualizing the prediction of laser cleaning: a dynamic preview method with a multi-scale conditional generative adversarial network”[J], Applied Optics, v 58, n 31, pp:8344-8353, November 1, 2019; ISSN: 1559128X, E-ISSN: 21553165; DOI: 10.1364/AO.58.008344. (WOS: 000493962000001) (JCR Q3; IF1.961)

    [9] Sun, Bo; Zhang, Yinghui; He, Jun*; Xiao, Yongkang; Xiao, Rong. "An automatic diagnostic network using skew-robust adversarial discriminative domain adaptation to evaluate the severity of depression"[J], Computer methods and programs in biomedicine, (2019). Vol173, pp:185-195, DOI: 10.1016/j.cmpb.2019.01.006 (WOS:000466148700018) (JCR Q1; IF 3.632; 他引:1)

    [10] He, Jun; Li, Dongliang; Bo, Sun; Yu, Lejun. "Facial Action Unit Detection with Multilayer Fused Multi-Task and Multi-Label Deep Learning Network"[J], KSII Transactions on Internet and Information Systems, v 13, n11, pp: 5546-5559, DOI: 10.3837/tiis.2019.11.015, (2019). (WOS:000500282900015) (JCR Q4; IF 0.648; 他引: 3)

    [11] Bo Sun; Siming Cao; Jun He*; Lejun Yu, "Affect recognition from facial movements and body gestures by hierarchical deep spatio-temporal features and fusion strategy"[J], J. Neural Networks. V 105, pp: 36-51. 2018, DOI: 10.1016/j.neunet.2017.11.021(WOS: 000441874700004) (JCR Q1; IF5.535; 他引: 7)

    [12] Sun, B; Guo, M; Cao, SM; He, J*; Yu, LJ, "Dual-level attention-aware network for temporal emotion segmentation"[J], J. Journal of Electronic Imaging.2018, v 27.n 3, 033012. (MAY 2018) DOI: 10.1117/1.JEI. (WOS: 000437982900012) (JCR Q4; IF0.884)

    [13] Bo Sun; Siming Cao; Jun He*; Lejun Yu and Liandong Li, "Automatic temporal segment detection via bilateral long short-term memory recurrent neural networks"[J], J. Electron. Imaging. 26(2), 020501 (Mar 02, 2017). (WOS: 000400896700001) (JCR Q4; IF0.884; 他引: 2)

    [14] Bo Sun, Liandong Li, Guoyan Zhou, Jun He*, “Facial Expression Recognition in the Wild Based on Multimodal Texture Features”[J], Journal of Electronic Imaging, v 25, n 6, Nov. 2016; DOI: 10.1117/1.JEI.25.6.061407 (WOS:000397059200008) (JCR Q4; IF0.884; 他引: 31)

    [15] Sun Bo, Xu Qihua, He Jun*, Liu Zhen Wang Ying, Ge Fengxiang, “Damage assessment framework for landslide disaster based on very high-resolution images”[J], J. Appl. Remote Sens. v10(2), 025027 (2016), DOI: 10.1117/1.JRS.10.025027. (WOS:000383199500002) (JCR Q4; IF1.36)

    [16] Bo Sun, Feng Xu, Jun He*, etc. “Weighted joint sparse representation-based classification method for robust alignment-free face recognition”[J], Journal of Electronic Imaging, v 24, n 1, January 1, 2015, DOI: 10.1117/1.JEI.24.1.013018.(WOS:000350466100019) (JCR Q4; IF0.884; 他引: 5)

    Bo Sun, Feng Xu, Jun He*, etc. “Clustering-Weighted SIFT-Based Classification Method via Sparse Representation” [J], Journal of Electronic Imaging, v 23, n 4, July 2014, DOI: 10.1117/1.JEI.23.4.043007. (WOS:000342355000007) (JCR Q4; IF0.884; 他引: 3)




    专著

    [1] 何珺,顾培蒂,《程序之趣——少儿编程系列丛书》之《发现学编程》,电子工业出版社,2021年




    会议

    [1] J. He, L. Peng, B. Sun*, L. Yu and Y. Zhang, "Automatically Predict Question Difficulty for Reading Comprehension Exercises," 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI), 2021, pp. 1398-1402, doi: 10.1109/ICTAI52525.2021.00222.(CCF C)

    [2] 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)

    [3] 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.

    [4] B. Sun, S. Lu, Y. Wen, J. He* and L. Yu, "Analyses and Benchmark of a Spontaneous Student Affect Database," 2021 IEEE International Symposium on Multimedia (ISM), 2021, pp. 206-209, doi: 10.1109/ISM52913.2021.00041.

    [5] Xiao, Rong ; Zheng, Ruili; Xiao, Yongkang; Zhang, Yinghui; Sun, Bo; He, Jun, “Deep Knowledge Tracking Based on Exercise Semantic Information”, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Volume: 13089 LNCS, pp: 278-289(2021)

    [6] Sun, Bo ; Li, Hang; Zhong, Rong ; Zhao, Mengqi ; Liang, Hao ; Jiang, Xiaoqi ; Xiao, Yongkang  ; Xiao, Rong ; Zhang, Yinghui ; He, Jun; Gu, Peidi, “adversarial training leaded robust MRC method”, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v 13089 LNCS, p 267-277, 2021, Emerging Technologies for Education - 6th International Symposium, SETE 2021

    [7] J. He, Y. Zhong, P. Rao, et al. "A Prior-knowledge guided Multi-scale Deep Network for Speech Emotion Recognition". In Proceedings of the 2022 4th Asia Pacific Information Technology Conference (APIT 2022).

    [8] Jun He, Bo Sun, Xiaoming Zhu, ”P2-based Learning Approach in < Robot Based Innovation Design > for Computer Science Students in teacher’s college”, ICEIT 2020: Proceedings of the 2020 9th International Conference on Educational and Information Technology, February 2020 Pages 124–127, https://doi.org/10.1145/3383923.3383924




    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”,发明人:何珺、张迎辉、孙波、余乐军,发明专利,专利号:ZL2019105757724.1;授权公告日期:2021年6月1日;

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

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

    [8] 专利名称:“一种基于额头区域的人脸检测方法及系统”,发明专利,专利号:ZL201610607532.0,授权公告日:2019年4月26日;发明人:孙波,何珺,余乐军,张迪;

    [9] 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;发明人:孙波,何珺,刘臻,葛凤翔,郝卓,徐其华;

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

    [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”,发明专利,2014,专利号:ZL2012 1 0581686.9,授权公告日:2016年5月18日;发明人:何珺;孙波;吴学文;葛凤翔;余乐军;

了解中心更多人员和研...
了解中心更多人员和研究
了解更多