王少帆  


基本情况

王少帆, 博士、副教授, 硕士生导师, IEEE会员, CCF会员,微软铸星计划入选者

研究领域

图像处理,模式识别,计算机视觉,机器学习

学习经历

2003.9-2010.6: 大连理工大学数学科学学院, 计算数学专业, 博士(导师:王仁宏)

1999.9-2003.6: 大连理工大学应用数学系, 信息与计算科学专业, 学士

2007.9-2008.9: 宾夕法尼亚州立大学(PennState)数学系, 联合培养博士生(导师:杜强)

工作经历

2017.1-至今: 北京工业大学信息学部人工智能与自动化学院

2014.1-2016.12: 北京工业大学城市交通学院

2010.7-2013.12: 北京工业大学计算机学院

2012.12-2013.3, 2013.12-2014.3: University of Siegen, 访问学者

2013.3-2013.9: 微软亚洲研究院StarTrack铸星计划, 青年访问学者

科研项目

2018.1-2021.12: 国家自然科学基金面上项目: 语义关联的室内场景对象建模及功能理解, 参加

2018.6-2019.12: 北京工业大学国际科研合作种子基金项目, 主持

2017.6-2019.12: 北京工业大学青年导师国际化项目, 主持

2014.1-2016.12: 北京市教委面上项目: 高精度体感数据计算方法研究, 主持

2012.1-2016.12: 国家自然科学基金重大仪器专项: 高精度非接触式体感数据采集仪研制,参加

2012.1-2014.12: 国家自然科学基金青年项目: 基于几何图像的网格数据压缩方法研究, 主持

2011.1-2011.12: 49中国博士后基金面上项目, 主持

2012.1-2012.7: 北京市博士后科研项目, 主持

主要获奖

1999-2000学年大连理工大学单科学习优秀生

2004年第18届全日空杯大连国际马拉松比赛(全程)200

2005-2006学年大连理工大学优秀研究生

2015年北京工业大学第10届青年教师教学基本功大赛三等奖

2017年北京工业大学第11届青年教师教学基本功大赛二等奖,最佳教学演示,最受学生欢迎奖

2017年度北京工业大学优秀青年主讲教师奖

2019年北京工业大学第12届青年教师教学基本功大赛二等奖

2020年北京工业大学第13届青年教师教学基本功大赛一等奖

2016年第一届全国高校智能交通创新与创业大赛二等奖(彭靖萱、李永伟、陈安江)

2017年第七届北京市大学生交通科技大赛二等奖(赵虹剑、张昕磊、高筱雅)

2017年度国家级大学生创新创业训练计划项目(赵虹剑、张昕磊、高筱雅)

2017年全国大学生数学建模竞赛北京赛区二等奖(吕林虹、刘政、张香捷)

2018年第八届北京市大学生交通科技大赛二等奖(张然、肖啸宸、朱丽雯、李悦)

2018年全国高校大数据应用创新大赛全国总决赛三等奖(张歌川、方淼、刘代锐)

2018年全国大学生数学建模竞赛北京赛区二等奖(汪雨辰、陈镜睿、肖啸宸)

2018年美国数学建模竞赛Honorable Mention(周天宇、柴泽、汪雨辰)

2019年美国数学建模竞赛Honorable Mention(周天宇、柴泽、李修娴)

2019年美国数学建模竞赛Honorable Mention(汪雨辰、陈镜睿)

2019年美国数学建模竞赛Successful Participant(刘代锐、杨沁琼、张歌川)

2020年第十届吴文俊人工智能科技进步奖, 中国人工智能学会,科技进步奖, 一等奖, 2020(尹宝才; 胡永利; 刘雪莉; 魏运; 张可; 刘浩; 张勇; 姚磊; 孙艳丰; 孙永良; 施云惠; 孔德慧; 田青; 王少帆; 李敬华)

2020年中国机器人大赛暨ROBOCUP机器人世界杯中国赛三等奖(许志坤、王卫星等)

2020年美国数学建模竞赛Successful Participant(陈明天、欧立炜、杨其帆)

2020年“华数杯”全国大学生数学建模竞赛二等奖(黄思益)

2020年亚太地区大学生数学建模竞赛二等奖(黄思益、王诗齐、王奕飞)

2021年美国数学建模竞赛Meritorious Winner(黄思益、王诗齐、王奕飞)

2021年第七届中国国际互联网+大学生创新创业大赛北京赛区三等奖(王奕飞、刘文睿、生新、王宇洋、阮晋琛、施宸、吕俊逸、杨舒文、付诗雅、杨涵迪、常瑾祎、单言、杨柳欣、谢清源)

发表论文(*为通讯作者)

[1] Ren-Hong Wang, Shao-Fan Wang*: Lagrange interpolation set along linear piecewise algebraic curves. Communications in Mathematical Sciences 7(1) 2009:165-174 SCI IF=0.982

[2] Renhong Wang, Shaofan Wang*: The Bezout number for linear piecewise algebraic curves. Computers & Mathematics with Applications 59(2) 2010: 1019-1030 SCI IF=1.472

[3] Renhong Wang, Shaofan Wang*: The Cayley-Bacharach theorem for continuous piecewise algebraic curves over cross-cut triangulations. Acta Mathematica Sinica English Series 27(9) 2011: 1717-1724 SCI IF=0.47

[4] Shaofan Wang*, Renhong Wang, Dehui Kong, Baocai Yin: Estimate of the Bezout number for linear piecewise algebraic curves over arbitrary triangulations. SIAM Journal on Discrete Mathematics 25(2) 2011: 561-582 SCI IF=0.648

[5] Min Xu, Qin Fang, Shaofan Wang: Convergence analysis of an empirical eigenfunction-based ranking algorithm with truncated sparsity. Abstract and Applied Analysis 2014: 197476:1-8 SCI IF=1.102

[6] Shaofan Wang*, Dehui Kong, Juan Xue, Weijia Zhu, Min Xu, Baocai Yin, Hubert Roth: Connectivity-preserving geometry images. The Visual Computer 31(9) 2015: 1163-1178 SCI IF=1.06

[7] Min Xu, Qin Fang, Shaofan Wang, Junbin Li: On empirical eigenfunction based ranking with L1 norm regularization. Journal of Approximation Theory 192, 2015: 273-290 SCI IF=0.755

[8] Shaofan Wang, Chun Li, Dehui Kong, Baocai Yin: Extracting hand articulations from monocular depth images using curvature scale space descriptors. Frontiers of Information Technology & Electronic Engineering 17(1) 2016: 41-54 SCI IF=0.622

[9] Honglin Liu, Dehui Kong, Shaofan Wang, Baocai Yin: Sparse pose regression via componentwise clustering feature point representation. IEEE Transactions on Multimedia 18(7) 2016: 1233-1244 SCI IF=3.509

[10] Shaofan Wang, Shi Qiu, Wenjuan Wang, Danny Xiao, Kelvin C.P. Wang: Cracking classification using minimum rectangular cover-based support vector machine. Journal of Computing in Civil Engineering 31(5) 2017: 04017027:1-9 SCI IF=1.798

[11] Yong Zhang, Bowei Shen, Shaofan Wang, Dehui Kong, Baocai Yin: L0-regularization-based skeleton optimization from consecutive point sets of kinetic human body. ISPRS Journal of Photogrammetry and Remote Sensing 143, 2018: 124-133 SCI IF=6.387

[12] Shaofan Wang, Yongjia Xin, Dehui Kong, Baocai Yin: Unsupervised learning of human pose distance metric via sparsity locality preserving projections. IEEE Transactions on Multimedia 21(2), 2019: 314-323 SCI IF=5.452

[13] Bin Sun, Dehui Kong, Shaofan Wang, Lichun Wang, Yuping Wang, Baocai Yin: Effective human action recognition using global and local offsets of skeleton joints. Multimedia Tools and Applications, 78, 2019: 6329-6353 SCI IF=1.541

[14] Xia Zhao, Yong Zhang, Hao Liu, Shaofan Wang, Zhen Qian, Yongli Hu, Baocai Yin: Detecting pickpocketing gangs on buses with smart card data. IEEE Intelligent Transportation Systems Magazine 11(3), 2019:181-199 SCI IF=3.294

[15] Wenhui Zhang, Dehui Kong, Shaofan Wang*, Zhiyong Wang: 3D human pose estimation from range images with depth difference and geodesic distance. Journal of Visual Communication and Image Representation 59, 2019: 272-282 SCI IF=1.836

[16] Yang Wang, Yong Zhang, Zhen Qian, Shaofan Wang, Yongli Hu, Baocai Yin: Multi-source traffic data reconstruction using joint low-rank and fundamental diagram constraints. IEEE Intelligent Transportation Systems Magazine 11(3), 2019:221-234 SCI IF=3.294

[17] Zhonghua Wei, Jingxuan Peng, Xinwang Ma, Shi Qiu, Shaofan Wang*: Towards micro-scale correlations between PM2.5 concentration and traffic volume: a wavelet perspective. IEEE Transactions on Vehicular Technology 68(11) 2019:10439-10452 SCI IF=5.339

[18] Yongpeng Wu, Dehui Kong, Shaofan Wang*, Jinghua Li, Baocai Yin: An unsupervised real-time framework of human pose tracking from range image sequences. IEEE Transactions on Multimedia 22(8) 2020: 2177-2190 SCI IF=6.051

[19] Yadong Yu, Yong Zhang, Sean Qian, Shaofan Wang*, Yongli Hu, Baocai Yin: A low rank dynamic mode decomposition model for short-term traffic flow prediction. IEEE Transactions on Intelligent Transportation Systems 2020, DOI: 10.1109/TITS.2020.2994910 SCI IF=6.492

[20] Lichun Wang, Shuang Li, Shaofan Wang*, Dehui Kong, Baocai Yin: Hardness-aware dictionary learning: boosting dictionary for recognition. IEEE Transactions on Multimedia 23, 2021: 2857-2867 SCI IF=6.051

[21] Caixia Liu, Dehui Kong, Shaofan Wang*, Jinghua Li, Baocai Yin: DLGAN: depth-preserving latent generative adversarial network for 3D reconstruction. IEEE Transactions on Multimedia 23, 2021: 2843-2856 SCI IF=6.051

[22] Yong Zhang, Fei Tan, Shaofan Wang*, Baocai Yin: 3D human body skeleton extraction from consecutive surfaces using a spatial-temporal consistency model. The Visual Computer 37(5), 2021: 1045-1059 SCI IF=2.601

[23] Jinghua Li, Huixia Yan, Junbin Gao, Dehui Kong, Lichun Wang, Shaofan Wang, Baocai Yin: Matrix-variate variational auto-encoder with applications to image process. Journal of Visual Communication and Image Representation 67, 2020, 102750:1-102750:9 SCI IF=2.678

[24] Jinghua Li, Pengyu Tian, Dehui Kong, Shaofan Wang, Baocai Yin: Discriminative matrix-variate restricted Boltzmann machine classification model. Wireless Networks 27, 2021: 3621-3633 SCI IF=2.602

[25] Bin Sun, Dehui Kong, Shaofan Wang*, Lichun Wang, Baocai Yin: Joint transferable dictionary learning and view adaptation for multi-view human action recognition. ACM Transactions on Knowledge Discovery from Data, 15(2), 2021, article no.32, 1-23 SCI IF=2.713

[26] Caixia Liu, Dehui Kong, Shaofan Wang*, Zhiyong Wang, Jinghua Li, Baocai Yin: Deep 3D reconstruction: methods, data, and challenges. Frontiers of Information Technology & Electronic Engineering, 22(5):652-672 SCI IF=2.161

[27] Bin Sun, Shaofan Wang, Dehui Kong, Lichun Wang, Baocai Yin: Real-time human action recognition using locally aggregated kinematic-guided skeletonlet and supervised hashing-by-analysis model. IEEE Transactions on Cybernetics, 2021, doi: 10.1109/TCYB.2021.3100507, early access SCI IF=11.448

[28] Yong Zhang, Lufei Chen, Fei Tan, Shaofan Wang*, Baocai Yin: An improved L1 median model for extracting 3D human body curve-skeleton. Multimedia Tools and Applications 2021, doi: 10.1007/s11042-021-11373-2, early access SCI IF=2.757

[29] Zihao Rong, Shaofan Wang*, Dehui Kong, Lichun Wang, Baocai Yin: A cascaded ensemble of sparse-and-dense dictionaries for vehicle detection. Applied Science 11, 1861:1-1861:19, 2021 SCI IF=2.679

[30] Zhonghua Wei, Jingxuan Liang, Shi Qiu, Shaofan Wang*, Sheng Liu: How many facilities are needed? Evaluating configurations of subway security check systems via a hybrid queueing model. IEEE Transactions on Intelligent Transportation Systems 2021, early access, DOI: 10.1109/TITS.2021.3076840 SCI IF=6.492

[31] Yongpeng Wu, Dehui Kong, Shaofan Wang, Jinghua Li, Baocai Yin: HPGCN: hierarchical poselet-guided graph convolutional network for 3D pose estimation. Neurocomputing, accepted.

发明专利

孔德慧,李淳,王少帆,尹宝才:一种基于深度图的手部特征点检测方法。中国国家发明专利ZL 201510282688.1,公告日期2018.07.17

孔德慧,石丽娜,王少帆:一种三角网格模型的优化方法。中国国家发明专利ZL 2015109619257,公告日期2018.07.13

尹宝才,高原,施云惠,丁文鹏,王少帆:一种适用于三维网格序列的压缩方法。中国国家发明专利ZL 201510483610.6,公告日期2018.04.06

王少帆,辛永佳,孔德慧,尹宝才:一种运动人体姿态相似性度量方法。中国国家发明专利ZL 201510434511.9,公告日期2018.04.06

王立春,孙杰,王少帆,孔德慧,尹宝才:一种人脸特征定位方法。中国国家发明专利ZL 201510102500.0,公告日期2018.04.27

施云惠,李华阳,王少帆,孔德慧,尹宝才:一种深度图像的去噪方法。中国国家发明专利ZL 201510103661.1,公告日期2018.03.09

孔德慧,刘洪林,王少帆,尹宝才:一种运动人体姿态估计的方法。中国国家发明专利ZL 201510128533.2,公告日期2018.01.19

孔德慧,陈思,王少帆:一种人体姿态估计方法。中国国家发明专利ZL 201510792096.4,授权日期2019.02.12

孔德慧,朱碧焓,王少帆,尹宝才:一种基于融合模型的人体姿态估计方法。中国国家发明专利ZL 201511025900.2,授权日期2019.05.09

孔德慧,贾思宇,王少帆,王立春:一种基于RGB-D数据的视频跟踪方法。中国国家发明专利ZL201710080013.8,授权日期2019.10.08

王少帆,林菁,王立春,孔德慧,尹宝才:基于自适应超图学习的超像素分割方法。中国国家发明专利ZL 201811634332.X,公告日期2020.11.06

王少帆,邵广翠,孔德慧,尹宝才:一种基于格兰姆矩阵正则化的卷积神经网络可视化方法。中国国家发明专利ZL 201810258375.6,公告日期2021.06.04

在读及毕业研究生

2013级:辛永佳(腾讯科技北京有限公司,高级研究员)

2014级:荣子豪(北京工业大学硕博连读)

2015级:邵广翠(京东尚科科技有限公司,算法工程师)

2016级:李爽(北京工业大学硕博连读)

2017级:林菁(北京京东数字科技控股有限公司)

2018级:邬玉洁(中信银行)

2019级:赵永波(硕士在读) 尹诵(硕士在读)

2020级:刘蓥(硕士在读) 刘玉坤(硕士在读)

2021级:王卫星(硕士在读) 兰佳琪(硕士在读)

联系方式

电话: 010-67396568

邮箱: wangshaofan@bjut.edu.cn

主页:https://shaofanwang.weebly.com


北京工业大学研究生招生办公室 地址:北京市朝阳区平乐园100号 邮政编码:100124 联系电话:010-67392533