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About Us

Exploring the potential of digital technologies,
supporting innovations in teaching and learning, and improving
the quality and equity of future education

Jun He

College of Education for the Future, BNU
hejun@bnu.edu.cn
Personal Profile
Jun He is an associate professor who focuses on curriculum construction and talent development in innovative thinking, exploring innovative talent development models through the construction of characteristic teacher training courses. She is also engaged in research on educational database construction, computer vision computation, and machine reading comprehension methods. In recent years, she has been responsible for teaching interdisciplinary courses such as "Robot Innovation Design and Competition" for general education and computer science and technology/artificial intelligence majors, "Information Technology Foundation" for students of the Faculty of Education and "Microsoft Office Software International Certification Specialization Course" and "Robot Innovation and Design" for outstanding teacher training. She has presided over three teaching reform projects at Beijing Normal University, and has trained more than 70 computer science education students. Under her guidance, undergraduate students have won the "Third Prize" at the "Fifth China Internet+ College Students' Innovation and Entrepreneurship Competition (Beijing Division)" for their entrepreneurial projects. She has also presided over four graduation projects (entrepreneurship category) for Beijing college students and has taught at key high schools in Ningxia, Xinjiang, and other provinces and cities. Dr. He has participated in activities of the Youth Programming Education Committee of the National Association of Computer Basic Education Research in Higher Education and has participated in the writing of youth programming textbooks. In the past five years, she has presided over four cross-disciplinary talent cultivation projects for Beijing's higher education institutions, and has participated in more than 10 national, provincial, and horizontal projects. She has published more than 40 papers and has obtained seven patents in the fields of pattern recognition, deep learning, and other fields.
Research Field
Machine learning, affective computing, computer vision, smart education.
Recruiting Master/PhD students
Recruiting PhDs and academic/professional masters in communication and signal processing, applied statistics, and subject education.
  • Teaching Practice

    Robot Innovation Design and Competition
    Microsoft Office International Certification Course
    Information Technology Foundations
    Data Structure
  • Research Projects

    [1] 2022.1-2025.12, National Natural Science Foundation of China, General Project, "Research on Structured Modeling and Video Description Methods of Classroom Interaction Based on Weak Supervision and Graph Network" (Project No.: 62177006);
    [2] 2016.01-2019.12, National Natural Science Foundation of China, Youth Project, "Unaligned Sparse Representation Recognition Method Combined with Image Block Joint Clustering Weighting and Mixed Classifier" (Project No.61501035);
    [3] 2014.5-2015.10, Sub-project of the High-Score Special Project (Civil Part) of the Bureau of Science, Technology and Industry for National Defense, "Research on Dynamic Extraction Technology of Landslide Debris Flow Disaster"
    [4] 2020.10-2022.10, Beijing Yitongtong Detection Technology Co., Ltd., "Software Development of Intelligent Compartment Security Check Information Hierarchical Management System (Server)"
    [5] 2017.04-2021.3, National Institute of Metrology, "Model Extraction Algorithm for Calibration Parts of Vector Network Analyzer"
    [6] 2011.06-2011.12, National Institute of Metrology, "Research on the Establishment of Millimeter Wave Transmission Models for Heterogeneous Materials"
    [7] 2011.06-2011.12, National Institute of Metrology, "Parameter Model for Millimeter Wave Transmission Description"
  • Academic Achievements

    Papers

    [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)




    Publications

    [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




    Conferences

    [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




    Patents

    [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;

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