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正高级

孙 波

  时间:2015-04-13  浏览:
  • 姓名:孙波
  • 学位:博士
  • 职称:教授、博导
  • 系别:计算机系
  • 电话:58800315
  • 邮箱:tosunbo@bnu.edu.cn

教育背景

  • 工学学士,北京航空航天大学计算机科学与工程系;
  • 工学硕士,北京师范大学无线电电子学系;
  • 理学博士,北京师范大学信息科学学院;

社会兼职

  • 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;

研究领域

  • 图像处理、模式识别、计算语言学、情感计算、机器学习和智能计算;
  • 计算机教育应用;

工作简介

  北京师范大学人工智能学院教授、博导,智能计算与软件中心主任。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。2010年以来在Neural Networks、IEEE Transactions on Affective Computing、Neural Computing &Applications、IEEE Transactions on Learning Technologies、Signal Processing: Image Communication等SCI Q1、Q2区期刊和EI国际会议上发表学术论文100余篇。获得多项国家发明专利、撰写多本教材和专著。荣获过多项省部级和校级奖励。

获奖与荣誉

    • 省部级科研奖励
  •   广东省科技进步三等奖(2003年);
  •   教育部科技进步三等奖(1997年);
    • 省部级教学奖励
  •   宝钢教育基金优秀教师奖(2015年);
  •   北京市高等学校教学名师奖(2015年);
  •   北京市高等学校继续教育优秀教学团队(2013年,团队负责人);
  •   北京市教育教学成果(高等教育)二等奖(2009年);
    • 校级教学奖励
  •   北京师范大学高等教育教学成果一等奖(2017年);
  •   北京师范大学基础教育教学成果一等奖(2017年);
  •   北京师范大学2016-2017学年优秀新生导师(2017年);
  •   北京师范大学高等教育教学成果一等奖(2012年);
  •   北京师范大学钱瑗教育基金优秀教师奖(2010年);
  •   北京师范大学优秀教学副院长(2010年);
  •   北京师范大学教学名师(2009年);
  •   北京师范大学本科教学优秀奖(2009年);
  •   北京师范大学教育教学成果一等奖(2008年);

近年来主要科研项目

  • [1]2021.01.01-2024.12.31国家自然科学基金项目,项目批准号:62077009,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,主持人;
  • [2]2018.01-2020.12北京市自然科学基金面上项目,4182031,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,主持人;
  • [3]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),“激光对材料的损伤机理和激光清洗的动力学过程研究”课题的子课题“基于图像的激光清洗动力学过程和材料特性变化的研究”,子课题负责人;
  • [4]2017.3.12-2018.3.11,北京一体通探测技术有限公司项目“X射线安全检查系统服务器管理软件研发”,主持人;
  • [5]2016.7.26-2018.7.25,人力资源和社会保障部职业技能鉴定中心项目“基于项目反应理论(IRT)的职业技能鉴定考试技术应用研究”,主持人;
  • [6]2015.3.20-2018.3.20一起作业网“自适应作业系统研究”项目,主持人;
  • [7]2015.1-2017.12,全国教育科学“十二五”规划教育部重点课题“智能感知技术在中小学作业减负中的应用研究与实践探索”(DCA140229),主持;
  • [8]2014.9~2017.8,中央高校基本科研业务费专项资金资助项目“自发性课堂学习情感的视觉建模与计算”(2014KJJCA15),主持;
  • [9]2014.1~2015.12,国家海洋局数字海洋科学技术重点实验室2014年开放基金项目“三维海洋GIS数据可视化组件库研究与开发”(KLD0201407),主持;
  • [10]2011.7-2012.7,政府招标项目“新疆巴音郭楞蒙古自治州石油教育局信息化建设工程”,主持;
  • [11]2011.6-2012.12人力资源和社会保障部职业技能鉴定中心“基于IRT的自适应考试系统的技术可行性研究”,主要参与;
  • [12]2010.10-2011.10广东省教育装备中心政府招标项目“广东省中小学教学资源库”研制开发,主持;
  • [13]2010.1-2011.12,北京市自然科学基金项目“三维虚拟教学环境中虚拟教师和教学过程建模的研究”(4102030)主持。

近年主要学术论文

  • SCI期刊论文

  • [1]Weidi Wang, Zeyuan Wang, Yinghui Zhang, Bo Sun*, and Ke Xia†. Learning Order Parameters from Videos of Skyrmion Dynamical Phases with Neural Networks. Physical Review Applied, Vol. 16, Iss. 1, July 2021, https://doi.org/10.1103/PhysRevApplied. 16.014005 (SCI – 中科院分区 Q2)
  • [2]He, J., Yu, X., Sun, B.*, Yu, L. Facial expression and action unit recognition augmented by their dependencies on graph convolutional networks. J Multimodal User Interfaces (2021). https://doi.org/10.1007/s12193-020-00363-7 (SCI JCR- Q3)
  • [3]Bo Sun, Yong Wu, Kaijie Zhao,Jun He*,Lejun Yu,Huanqing Yan & Ao Luo. Student Class Behavior Dataset: a video dataset for recognizing, detecting, and captioning students’ behaviors in classroom scenes. Neural Computing & Applications. 30 January 2021. https://doi.org/10.1007/s00521-020-05587-y(SCI JCR- Q1)
  • [4]Sun Bo, Cao Siming, Li Dongliang; He Jun; Yu Lejun..”Dynamic Micro-Expression Recognition Using Knowledge Distillation”. IEEE Transactions on Affective Computing. 2020, DOI:10.1109/TAFFC.2020.2986962 (SCI JCR- Q1)
  • [5]Jun He, Yijia Zhao, Bo Sun*, Lejun Yu. “Feedback evaluations to promote image captioning”, IET Image Processing,2020-11-30, DOI:10.1049/iet-ipr.2019.1317 (SCI)
  • [6]B. Sun, Y. Zhu, Z. Yao, R. Xiao, Y. Xiao and Y. Wei, "Tagging Reading Comprehension Materials With Document Extraction Attention Networks," in IEEE Transactions on Learning Technologies, vol.13, no.3, pp. 567-579, 1 July-Sept. 2020, doi: 10.1109/TLT.2020.2990724 (SCI JCR-Q2/SSCI JCR-Q1)
  • [7]Qihua Xu, Chunyue Zhang, Bo Sun*, "Emotion recognition model based on the Dempster-Shafer evidence theory," J. Electron. Imaging 29(2), 023018 (2020), doi: 10.1117/1.JEI.29.2.023018. (SCI)
  • [8]Song Lai, Bo Sun*, Fati Wu, Rong Xiao, Automatic personality identification using students' online learning behavior, IEEE Transactions on Learning Technologies, Vol:13, Issue:1, Jan.-Mar 1 2020,pp. 26-37, https://doi.org/10.1109/tlt.2019.2924223 (SCI JCR-Q2/SSCI JCR-Q1)
  • [9]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, 20 January 2020, https://doi.org/10.1016/j.jvcir.2020.102762. (SCI JCR-Q2)
  • [10]Bo Sun, Chang Xu, Jun He, Lejun Yu, Yinghui Zhang. Cleanliness prediction of rusty iron in laser cleaning using convolutional neural networks. Appl. Phys. A 126, 179 (2020). https://doi.org/10.1007/s00339-020-3363-5 (SCI)
  • [11]YingHui Zhang, YiJia Zhao, Bo Sun*, and Jun He, Visualizing the prediction of laser cleaning: a dynamic preview method with a multi-scale conditional generative adversarial network, Applied Optics, Vol. 58, Issue 31.pp. 8344-8353(2019). ttps://doi.org/10.1364/AO.58.008344. (SCI)
  • [12]Y. Zhang, B. Sun*, Y. Xiao et al., Feature augmentation for imbalanced classification with conditional mixture WGANs, Signal Processing: Image Communication (2019), Volume 75,July 2019, Pages 89-99. https://doi.org/10.1016/j.image.2019.03.010. (SCI JCR-Q2)
  • [13]Qinglan Wei, Elif Bozkurt, Louis-Philippe Morency, Bo Sun*, Spontaneous smile intensity estimation by fusing saliency maps and convolutional neural networks. Journal of Electronic Imaging, 28(2), May 2019. DOI:10.1117/1.JEI.28.2.023031 (SCI)
  • [14]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. (SCI JCR-Q1)
  • [15]B. Sun, Y. Zhu, Y. Xiao, R. Xiao and Y. G. Wei, Automatic Question Tagging with Deep Neural Networks, IEEE Transactions on Learning Technologies, Volume:12, Issue:1, Jan.-March 1 2019, pp.29-43. doi: 10.1109/TLT.2018.2808187. (SCI JCR-Q2/SSCI JCR-Q1)
  • [16]Xiao, R; Sun, B*; Xiao, YK; Wei, YG; Chen, WL, Content-Based Efficient Messages Transmission in WSNs. Wireless Communications & Mobile Computing. 2725961, 2018, doi: 10.1155/2018/2725961. (SCI)
  • [17]Sun Bo, Guo meng, Hejun, etc., Dual-level Attention-aware Network for Temporal Emotion Segmentation[J], Journal of Electronic Imaging, 27(3), May 2018, doi: 10.1117/1.JEI.27.3.033012. (SCI)
  • [18]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]. Neural Networks, Vol 105, pp36-51, Sep 2018. doi:10.1016/j.neunet. 2017.11.021. (WOS JCR Q1 Top)
  • [19]Qinglan Wei, Bo Sun*, Jun He, Lejun Yu, BNU-LSVED 2.0: Spontaneous multimodal student affect database with multi-dimensional labels[J], Signal Processing:Image Communication,Vol. 59, pp:168-181, NOV 2017, doi: 10.1016/j.image.2017.08.012. (WOS JCR Q2)
  • [20]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 02, 2017). doi:10.1117/1.JEI.26.2.020501. (SCI)
  • [21]Xiaoming Zhu, Bo Sun & Yanlin Luo, Interactive learning system “VisMis” for scientific visualization course[J]. Interactive Learning Environments, Vol 26, 2018, Issue4 (Sep. 1. 2017), pp: 553-565, doi: 10.1080/10494820.2017.1371197. (SSCI)
  • [22]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, Nov 2016, doi: 10.1117/ 1.JEI.25.6.061407. (SCI)
  • [23]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, Jun 2016, doi: 10.1117/1.JRS.10.025027. (SCI)
  • [24]FX Ge, Q Wan, L Guo, B Sun. Frequency Estimation of Sinusoidal Signals in Multiplicative and Additive Noise [J]. IEEE Journal of Oceanic Engineering, Feb. 2016. (SCI)
  • [25]Bo Sun, Liandong Li, Xuewen Wu, Tian Zuo, Ying Chen, Guoyan Zhou, Jun He, Xiaoming Zhu. Combining feature-level and decision-level fusion in a hierarchical classifier for emotion recognition in the wild[J], Journal on Multimodal User Interfaces, Volume 10, Issue 2, pp125-137, June 2016, doi: 10.1007/s12193-015-0203-6; Publisher: Springer Verlag. (SCI)
  • [26]Bo Sun, Feng Xu, Guoyan Zhou, Jun He*. Weighted Joint Dynamic Sparse Representation based Classification Method for Robust Alignment-free Face Recognition [J]. J. Electron.Imaging. 24(1), Jan 2015. doi:10.1117/1.JEI.24.1.013018. (SCI)
  • [27]Sun Bo, Xu Feng, He Jun*, Wu Xuewen. A Clustering-Weighted SIFT-Based Classification Method via Sparse Representation [J]. Journal of Electronic Imaging, Jul.2014, DOI: 10.1117/1.JEI.23.4.043007. (SCI)
  • EI期刊论文

  • [28]胡晓雁, 孙波, 朱小明, 魏云刚. 基于谱聚类的运动捕获数据分割[J]. 计算机辅助设计与图形学学报,2016年8期,pp:1306-1315. (EI)
  • [29]Jun He, Tian Zuo, Bo Sun*, Xuewen Wu, Yongkang Xiao, Xiaoming Zhu. Robust face recognition framework with block weighted sparse representation based classification[J]. International Journal of Innovative Computing, Information and Control, Volume 11, Number 5, October 2015.(ISSN 1349-4198) pp:1551-1562(EI)
  • [30]Sun Bo, Wu Yang, Xu Feng, Xiao Yongkang, He Jun, Chao Chen. Detecting and extracting text in video via sparse representation based classification method[J].Lecture Notes in Electrical Engineering,Springer Verlag,2015,vol 339:351-358.(EI)
  • [31]Bo Sun, Xuewen Wu and Jun He. A Novel Dictionary Learning Approach with Discriminative Regularization for Image Texture Analysis[J]. ICIC Express Letters, Part B: Applications, Feb. 2015 (EI)
  • [32]肖融, 孙波*, 陈文龙, 肖永康, 魏云刚. 基于内容的物联网寻径模型及节点休眠机制[J]. 计算机学报, Vol. 37 No. 1,2014年10期: 2165-2175. (EI)
  • [33]Bo Sun, Xuewen Wu, Jun He. A novel image denoising method based on sparse representation and incremental dictionary learning for large-scale dataset[J]. ICIC Express Letters, Nov.2014 (EI)
  • [34]肖融, 陈文龙, 孙波. 面向IPv6 物联子网的轻量级树型转发模型[J]. 软件学报, 2014年8期:1729-1742. (EI)
  • [35]Sun Bo, Wu Xuewen, He Jun. A new automatic target recognition scheme based on model simulation and structured learning[J]. International Journal of Signal Processing, Image Processing and Pattern Recognition, v 7, n 6, p 303-312, 2014 (EI)
  • [36]孙波, 刘冬阳, 徐奉, 史亦澍, 葛凤翔. 基于RSSI的煤矿井下巷道定位技术误差分析[J]. 煤炭学报, 2014年12月, 39卷S2期:609-614 (EI)

  • 中国核心期刊论文

  • [37]张迎辉, 聂燕敏, 孙波, 何珺, 杨斌. 基于深度森林多模态数据决策级融合抑郁症评价方法[J], 北京师范大学学报(自然科学版),2018, 5(54), DOI:10.16360/j.cnki.jbnuns.2018.05.008: 606-611.
  • [38]何珺, 孙波*. 用于人脸识别的改进MKD-SRC方法[J]. 北京师范大学学报 (自然科学版) 2017,01(53),12-13-14-15-16-17-18 DOI:10.16360/j.cnki.jbnuns.2017.01.003.
  • [39]孙波,陈玖冰,刘永娜. 大数据背景下的学生情感字典构造方法[J]. 北京师范大学学报(自然科学版). 2015年8期:358-361.
  • [40]刘永娜,张树玲,孙波. 社会性交互及其在三维虚拟环境中的实现[J]. 现代远程教育研究. 2015年4期:104-112.
  • [41]孙波,陈玖冰,刘永娜,王浩宇. 智能感知技术在个性化作业中的应用研究[J]. 北京师范大学学报(自然科学版). 2015年6期:250-254.
  • [42]孙波,刘永娜,陈玖冰,罗继鸿,张迪. 智慧学习环境中基于面部表情的情感分析[J]. 现代远程教育研究. 2015年2期:96-103.
  • [43]孙波,卢扬,魏云刚,胡晓雁. 面向3D数字校园的访问控制模型设计及其教学应用[J]. 中国电化教育. 2013年第11期:137-141. (CSSCI)
  • [44]赵慧勤,孙波. 虚拟教师情感合成模型的研究[J], 中国电化教育. 2012年第1期:121-126. (CSSCI)

  • 国际会议EI论文

  • [1]Sun B, Zhao K, Xiao Y, et al. BNU-LCSAD: a video database for classroom student action recognition[C], Optoelectronic Imaging and Multimedia Technology VI. International Society for Optics and Photonics, 2019, 11187:111871V.
  • [2]Li Liandong, Baltrusaitis Tadas, Sun Bo*, Morency LP. Edge Convolutional Network for Facial Action Intensity Estimation[C], Proceedings - 13th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2018. May 15, 2018 - May 19, 2018, Xi'an, China, Pages 171-178, DOI: 10.1109/FG.2018.00034.
  • [3]Guo, Meng; Cheng, Qingmei; Sun, Bo; He, Jun. Forehead-based face detection algorithm with multi-feature cascade framework for classroom. Tenth International Conference on Digital Image Processing, ICDIP 2018. May 11, 2018 - May 14, 2018, Shanghai, China. Article number: 108061N, DOI: 10.1117/12.2503057.
  • [4]Bo Sun, Song Lai, Congcong Xu, Rong Xiao, Yungang Wei, Yongkang Xiao. Differences of online learning behaviors and eye-movement between students having different personality traits[C], MIE 2017: Proceedings of the 1st ACM SIGCHI International Workshop on Multimodal Interaction for Education. Glasgow, UK, November 13 - 13, 2017, Pages 71-75, doi>10.1145/3139513.3139527.
  • [5]Li Liandong, Baltrusaitis Tadas, Sun Bo*, Morency LP. Combining Sequential Geometry and Texture Features for Distinguishing Genuine and Deceptive Emotions, 2017 IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2017, Venice, Italy, October 22-29 , Pages 3147-3153, DOI: 10.1109/ICCVW.2017.372.
  • [6]Bo Sun, Yinghui Zhang, Jun He, Lejun Yu, Qihua Xu, Dongliang Li, Zhaoying Wang. A Random Forest Regression Method With Selected-Text Feature For Depression Assessment, AVEC 2017 - Proceedings of the 7th Annual Workshop on Audio/Visual Emotion Challenge, co-located with MM 2017, Mountain View, California, USA October 23-23, 2017. Pages 61-68. doi>10.1145/3133944.3133951.(EI: 20174904483941)
  • [7]Jun He, Dongliang Li, Bin Yang, Siming Cao, Bo Sun, Lejun Yu, Multi View Facial Action Unit Detection Based on CNN and BLSTM-RNN, Joint Challenge on Dominant and Complementary Emotion Recognition Using Micro Emotion Features and Head-Pose Estimation, DCER and HPE 2017 and 3rd Facial Expression Recognition and Analysis Challenge, FERA 2017; ISBN-13: 9781509040230; DOI: 10.1109/FG.2017.108; Article number: 7961831(EI:20173104000615)
  • [8]Bo Sun, Bojie Rong, Jun He, Method of student identification through college classroom surveillance videos using deep learning features and label propagation, Proc. SPIE 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104622L (24 October 2017); doi:10.1117/12.2284886
  • [9]Jun He, Yijia Zhao, Bo Sun*, Lejun Yu, Research on video capture scheme and face recognition algorithms in a class attendance system, 2017 Asia Conference Intelligent Robots and Control(ACIRC2017)
  • [10]Qinglan Wei, Yijia Zhao, Qihua Xu, Liandong .Li, Jun.He, Lejun Yu, Bo Sun*. A New Deep-Learning Framework for Group Emotion Recognition. In Proceedings of 19th ACM International Conference on Multimodal Interaction (ICMI’17). Glasgow, UK, November 13 - 17, 2017. https://doi.org/10.1145/3136755.3143014.Pages 587-592.
  • [11]Bo Sun, Siming Cao, Liandong Li, Jun He, Lejun Yu. Exploring Multimodal Visual Features for Continuous Affect Recognition. Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge, co-located with ACM Multimedia 2016. OCT 15-19th, 2016. Amsterdam, Netherlands. Pages:83-88(EI )
  • [12]Bo Sun, Qinglan Wei, Liandong Li, Qihua Xu, Jun He, Lejun Yu. LSTM for Dynamic Emotion and Group Emotion Recognition in the Wild. Proceedings of 18th ACM International Conference on Multimodal Interaction,November 12-16th, 2016. Tokyo,Japan. PP:427-432(EI )
  • [13]Bo Sun; Siming Cao ; Jun He and Lejun Yu "Face detection based on multiple kernel learning algorithm ", Proc. SPIE 9971, Applications of Digital Image Processing XXXIX, 997134(Sept. 28, 2016); http://dx.doi.org/10.1117/12.2235837(EI )
  • [14]Bo Sun; Qinglan Wei ; Jun He ; Lejun Yu and Xiaoming Zhu "BNU-LSVED: a multimodal spontaneous expression database in educational environment ", Proc. SPIE 9970, Optics and Photonics for Information Processing X, 997016(September 14, 2016); http://dx.doi.org/10.1117/12.2235892(EI )
  • [15]Bo Sun; Meng Guo; Jun He and Lejun Yu "Method of student identification in the context of college classroom ", Proc. SPIE 9970, Optics and Photonics for Information Processing X, 997012 (September 14, 2016); http://dx.doi.org/10.1117/12.2235675(EI )
  • [16]Jun He, Bo Sun*, Yang Wu, Xiaoming Zhu, Yungang Wei, ” Detecting and Extracting Scene Text in Digital Images via SRC” [C], Computer Graphics, Visualization, Computer Vision and Image Processing 2016, Jul. 1-4, Mroeira, Portugal, 231-240 (CGVCVIP 2016) (EI )
  • [17]Bo Sun,Liandong LI,Guoyan ZHOU, Xuewen WU, Jun HE, Lejun YU, Dongxue LI, Qinglan WEI. Combining Multimodal Features within a Fusion Network for Emotion Recognition in the Wild. In Proceedings of the 17th ACM International Conference on Multimodal Interaction, November 9-13th, 2015. Seattle, WA, United states . PP: 497-502.(EI )
  • [18]Bo Sun, Di Zhang, Jun He*, Lejun Yu and Xuewen Wu, "Multi-feature based robust face detection and coarse alignment method via multiple kernel learning ", Proc. SPIE 9652, Optics and Photonics for Counterterrorism, Crime Fighting, and Defence XI; and Optical Materials and Biomaterials in Security and Defence Systems Technology XII, 96520H (October 21, 2015); doi:10.1117/12.2194254(EI )
  • [19]Lejun Yu, Fengxiang Ge, Jun He, Bo Sun, Feng Dai, “Mode Activity based Adaptive Fast Intra Mode Decision for HEVC/H.265”, 2015 8th International Congress on Image and Signal Processing (CISP 2015), 132-136(EI )
  • [20]Bo Sun, Qihua Xu, Jun He*, Fengxiang Ge* and Ying Wang, " Semi-auto assessment system on building damage caused by landslide disaster with high-resolution satellite and aerial images ", Proc. SPIE 9643, Image and Signal Processing for Remote Sensing XXI, 96431O (October 15, 2015); doi:10.1117/12.2193733(EI )
  • [21]Lejun Yu, Xiaoyu Wu, Fengxiang Ge, Bo Sun, Jun He, Robert Sablatnig, “Regularized Single-Image Super-Resolution Based On Progressive Gradient Estimation”, International Conference on Image Processing 2015, Aug. 27-30, Quebec city, Canada, 2015(EI )

 

专利成果

  • [1]专利名称:一种多模态情感识别分类方法,发明人:孙波、何珺、余乐军、曹斯铭,专利号:ZL201711144196.1,专利权人:北京师范大学,授权公告日:2020年5月5日;
  • [2]专利名称:一种基于额头区域的人脸检测方法及系统,发明人:孙波、何珺、余乐军、张迪,专利号:ZL 201610607532.0,专利权人:北京师范大学,授权公告日:2019年3月18日;
  • [3]专利名称:基于稀疏表示分类的滑坡泥石流区域检查方法,发明人:孙波,何珺,刘臻,葛凤翔,郝卓,徐其华,专利号:ZL 201510081296.9,专利权人:北京师范大学,授权公告日:2017年11月07日;
  • [4]专利名称:一种帧内快速编码方法及系统,发明人:余乐军,孙波,何珺,葛凤翔,黄小芳,专利号:ZL2014 1 0073802.5,专利权人:北京师范大学,授权公告日:2017年6月30日;
  • [5]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,发明人:何珺,孙波,吴学文,葛凤祥,余乐军,专利号:ZL 201210581686.9,专利权人:北京师范大学,授权公告日:2016年5月18日
  • [6]专利名称:一种面向IPV6的路径MTU发现方法及系统,发明人:肖融;孙波;何珺;肖永康;胡晓雁,专利号:ZL 2009 1 0084026.8,专利权人:北京师范大学,授权公告日:2012年5月23日;
  • [7]专利名称:ATGP-VCA 投影向量获取方法,发明人:何珺;胡晓雁;孙波;于乐军;张熙予,专利号:ZL 2009 1 0090193.3,专利权人:北京师范大学,授权公告日:2011年12月21日;

教材和专著

  • [1] 专著《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]《探索计算机网络协议与服务的奥秘》,专著,朱小明;孙波;张冬慧;王兵,书号:978-7-03-051538-4,科学出版社,2017年2月;
  • [3]《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;
  • [4]《计算机网络技术与应用》,副主编,书号:978-7-113-12512-7,中国铁道出版社,2011年;
  • [5]《计算机网络技术与应用实验指导》,副主编,书号:978-7-113-12423-6,中国铁道出版社,2011年;
  • [6]《计算机网络实践教程》,副主编,书号:978-7-04-027750-0,高等教育出版社,2009年。