Microsoft Office International Certification Course
Information Technology Foundations
Data Structure
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;