研究方向
模式识别、计算机视觉、人工智能
教育简历
2003.9-2010.6: 大连理工大学数学科学学院, 计算数学专业, 博士
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数学系, 联合培养博士生
工作履历
2017.1-至今: 北京工业大学信息科学技术学院，副教授
2014.1-2016.12: 北京工业大学城市交通学院，讲师
2010.7-2013.12: 北京工业大学计算机学院，博士后&讲师
课程教学
本科生教学：离散数学、计算机视觉综合实验
研究生教学：现代优化方法
科研项目
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: 第49批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
荣誉和获奖
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)第200名
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、朱彦兴、龚晨、陈定锐、李子晨)
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)
主要论文论著
[1] Ren-Hong Wang, Shao-Fan Wang*: Lagrange interpolation set along linear piecewise algebraic curves. Communications in Mathematical Sciences 7(1) 2009:165-174
[2] Renhong Wang, Shaofan Wang*: The Bezout number for linear piecewise algebraic curves. Computers & Mathematics with Applications 59(2) 2010: 1019-1030
[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
[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
[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
[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
[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
[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
[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
[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
[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
[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
[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
[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
[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
[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
[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
[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
[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 22(10) 2021:6547-6560
[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
[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
[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
[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
[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
[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
[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
[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, 52(6), 2022, 4837-4849
[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 80, 2021: 33547-33571
[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(4), 2021, 1861:1-1861:19
[30] Jinghua Li, Runze Liu, Dehui Kong, Shaofan Wang, Lichun Wang, Baocai Yin, Ronghua Gao: Attentive 3D-ghost module for dynamic hand gesture recognition with knowledge positive transfer. Computational Intelligence and Neuroscience, 2021, vol. 2021, 5044916:1-5044916:8
[31] Shuang Li, Lichun Wang, Shaofan Wang, Dehui Kong, Baocai Yin: Zero-shot recognition with image attributes generation using hierarchical coupled dictionary learning. ACM Multimedia Asia, 2021, Article No. 32, 1-7
[32] Qianxing Li, Shaofan Wang, Dehui Kong, Baocai Yin: A local-global commutative preserving functional map for shape correspondence. ACM Multimedia Asia, 2021, Article No. 13, 1-7
[33] Yongpeng Wu, Dehui Kong*, Shaofan Wang, Jinghua Li, Baocai Yin: HPGCN: hierarchical poselet-guided graph convolutional network for 3D pose estimation. Neurocomputing, 487, 2022:243-256
[34] Bin Sun, Dehui Kong, Shaofan Wang*, Jinghua Li, Baocai Yin, Xiaonan Luo: GAN for vision KG for relation: A two-stage network for zero-shot action recognition. Pattern Recognition, 126, 2022, article no.108563, 1-10
[35] Caixia Liu, Dehui Kong*, Shaofan Wang, Jinghua Li, Baocai Yin: A spatial relationship preserving adversarial network for 3D reconstruction. ACM Transactions on Knowledge Discovery from Data, 18(4), 2022, 110:1-110:22
[36] Bin Sun, Shaofan Wang*, Dehui Kong, Baocai Yin: Grassmannian graph-attentional landmark selection for domain adaptation. Multimedia Tools and Applications 81(21), 2022, 30243-30266
[37] Shaofan Wang, Yongbo Zhao, Yong Zhang, Yongli Hu, Baocai Yin*: Spatiotemporal traffic data imputation via tensorial weighted Schatten-p norm minimization. IET Intelligent Transportation Systems 16, 2022:926-939
[38] Zihao Rong, Shaofan Wang*, Dehui Kong, Baocai Yin: Improving object detection quality with structural constraints. PLoS ONE 17(5), 2022, e0267863:1-17
[39] Dehui Kong, Xiliang Li, Shaofan Wang, Jinghua Li, Baocai Yin: Learning visual-and-semantic knowledge embedding for zero-shot image classification. Applied Intelligence 53, 2023: 2250-2264
[40] Jianjia Xin, Lichun Wang, Shaofan Wang, Yukun Liu, Chao Yang, Baocai Yin: Recommending fine-grained tool consistent with common sense knowledge for robot. IEEE Robotics and Automation Letters 7(4), 2022, 8574-8581
[41] Hewei Wang, Bolun Zhu, Yijie Li, Kaiwen Gong, Ziyuan Wen, Shaofan Wang, Soumyabrata Dev: SYGNET: A SVD-YOLO based GHOSTNET for real-time driving scene parsing. 29th IEEE International Conference on Image Processing 2022, 2701-2705.
[42] Hewei Wang, Yijie Li, Shijia Xi, Shaofan Wang, Muhammad Salman Pathan, Soumyabrata Dev: AMDCNet: An attentional multi-directional convolutional network for stereo matching. Displays 74, 2022, 102243:1-12
[43] Shaofan Wang, Jiaqi Lan, Jing Lin, Yukun Liu, Lichun Wang, Yanfeng Sun*, BaocaiYin: Adaptive hypergraph superpixels. Displays 2023, 102369:1-12
[44] Junna Gao, Dehui Kong*, Shaofan Wang, Jinghua Li, Baocai Yin: DASI: Learning domain adaptive shape impression for 3D object reconstruction. IEEE Transactions on Multimedia, early access
[45] Jiayi Zhao, Jipeng Guo, Yanfeng Sun*, Junbin Gao, Shaofan Wang, Baocai Yin: Adaptive graph convolutional clustering network with optimal probabilistic graph. Neural Networks 156, 2022, 271-284
[46] Yachao Yang, Yanfeng Sun*, Fujiao Ju, Shaofan Wang, Junbin Gao, Baocai Yin: Multi-graph fusion graph convolutional networks with pseudo-label supervision. Neural Networks 158, 2023, 305-317
[47] Shaofan Wang, Ying Liu, Lichun Wang, Yanfeng Sun, Baocai Yin*: PASIFTNet: scale-and-directional-aware semantic segmentation of point clouds. Computer Aided Design 156 (2023) 103462:1-15
[48] Shaofan Wang, Yukun Liu, Yanfeng Sun, Baocai Yin*: SACNet: Shuffling atrous convolutional U-Net for medical image segmentation. IET Image Processing 17 (4), 2023: 1236-1252
[49] Shuang Li, Lichun Wang, Shaofan Wang, Dehui Kong, Baocai Yin: Hierarchical coupled discriminative dictionary learning for zero-shot learning. IEEE Transactions on Circuits and Systems for Video Technology, early access
[50] Caixia Liu, Dehui Kong, Shaofan Wang, Qianxing Li, Jinghua Li, Baocai Yin: Multi-scale latent feature-aware network for logical partition based 3D voxel reconstruction. Neurocomputing 533, 2023: 22-34
发明专利
[1] 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
[2] 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
[3] 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
[4] 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
[5] 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
[6] 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
[7] 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
[8] 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
[9] 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
[10] 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
[11] 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
[12] 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
[13] 孔德慧，荣子豪，王少帆，李敬华，尹宝才：一种面向彩色图像的车辆检测方法。中国国家发明专利ZL201910759439.5，公告日期：2022.05.10
