þ Master Supervisor

Current Professional Societies

IEEE member, CCF member

Research Areas

Computer Vision, Pattern Recognition, Machine Learning

Honors

2020 Wu Wenjun Artificial Intelligence Science and Technology Award, First-class Prize for Scientific and Technological Progress (14)

Publications

[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 22(10) 2021:6547-6560 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, 52(6), 2022, 4837-4849 SCI IF=19.118

[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 SCI IF=2.757

[29] 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, 5044916:1-8. SCI IF=3.12

[30] 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

[31] 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

[32] 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 SCI IF=5.719

[33] 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, 108563:1-108563:10 SCI IF=7.74

[34] 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 SCI IF=4.094

[35] 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, SCI IF=2.577

[36] 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, SCI IF=2.568

[37] 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, SCI IF=5.019

[38] Jianjia Xin, Lichun Wang, Shaofan Wang, Yukun Liu, Chao Yang, Baocai Yin: Recommending fine-grained tool consistent with common sense knowledge for robot. In: IEEE Robotics and Automation Letters 7(4), 2022, 8574-8581, SCI IF=4.321.

[39] 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. In: 29th IEEE International Conference on Image Processing 2022, 2701-2705.

[40] 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, SCI IF=2.167

[41] Shaofan Wang, Jiaqi Lan, Jing Lin, Yukun Liu, Lichun Wang, Yanfeng Sun*, Baocai Yin: Adaptive hypergraph superpixels. Displays 2023, 102369:1-12, SCI IF=4.3

[42] Junna Gao, Dehui Kong*, Shaofan Wang, Jinghua Li, Baocai Yin: DASI: Learning domain adaptive shape impression for 3D object reconstruction. IEEE Transactions on Multimedia 25, 2023: 5248-5262 SCI IF=7.3

[43] 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 SCI IF=9.657

[44] 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 SCI IF=7.8

[45] 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, SCI IF=4.3

[46] 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 SCI IF=1.773

[47] 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 33(9), 2023:4973-4984

[48] 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 SCI IF=6.0

[49] Yachao Yang, Yanfeng Sun, Shaofan Wang, Junbin Gao, Fujiao Ju, Baocai Yin: A dual-masked deep structural clustering network with adaptive bidirectional information delivery. IEEE Transactions on Neural Networks and Learning Systems, accepted. SCI IF=10.4

[50] Shaofan Wang, Weixing Wang, Shiyu Huang, Yuwei Han, Fuhao Wei, Baocai Yin*: Nowcasting the vehicular control delay from low-ping frequency trajectories via incremental hypergraph learning. IEEE Transactions on Vehicular Technology 73(1) 2024, 185-199. SCI IF=6.8

[51] Junna Gao, Dehui Kong, Shaofan Wang, Jinghua Li, Baocai Yin: CIGNet: category-and-intrinsic-geometry guided network for 3D coarse-to-fine reconstruction. Neurocomputing 554, 2023, 126607. SCI IF=6.0

[52] Dongpan Chen, Dehui Kong, Jinghua Li, Shaofan Wang, Baocai Yin: A survey of visual affordance recognition based on deep learning. IEEE Transactions on Big Data, 2023, 9(6):1458-1476, SCI IF=7.2

[53] Xiaolin Zhang, Yongbo Zhao, Shaofan Wang*, Yanfeng Sun, Baocai Yin: A tensorial weighted Schatten-p norm model with neighbor regularization for traffic data completion and traffic system correlation exploration. Neurocomputing 559, 2023, 126765. SCI IF=6.0

[54] Qi Zhang, Yanfeng Sun*, Yongli Hu, Shaofan Wang, Baocai Yin: A subgraph sampling method for training large-scale graph convolutional network. Information Sciences 649, 2023, 119661. SCI IF=8.1

[55] Qi Zhang, Jinghua Li, Yanfeng Sun*, Shaofan Wang, Junbin Gao, Baocai Yin: Beyond low-pass filtering on large-scale graphs via adaptive filtering graph neural networks. Neural Networks, 169, 2014:1-10. SCI IF=7.8

[56] Dongpan Chen, Dehui Kong*, Jinghua Li, Shaofan Wang, Baocai Yin: ADOSMNet: a novel visual affordance detection network with object shape mask guided feature encoders. Multimedia Tools and Applications, accepted

[57] Yuqing Zhang, Yong Zhang*, Shaofan Wang, Yun Liang, Baocai Yin: Semi-supervised video object segmentation via an edge attention gated graph convolutional network. ACM Transactions on Multimedia Computing and Communication Applications. 20 (1) 2024, 24:1-23 SCI IF=5.1

[58] Yijie Li, Hewei Wang, Zhenqi Li, Shaofan Wang, Soumyabrata Dev, Guoyu Zuo: DAANet: dual attention aggregating network for salient object detection. In: IEEE International Conference on Robotics and Biomimetics, 2023

[59] Mengran Li, Yong Zhang*, Shaofan Wang, Yongli Hu, Baocai Yin: Redundancy is not what you need: An embedding fusion graph auto-encoder for self-supervised graph representation learning. IEEE Transactions on Neural Networks and Learning Systems, accepted. SCI IF=10.4

[60] Yachao Yang, Yanfeng Sun, Shaofan Wang, Jipeng Guo, Junbin Gao, Fujiao Ju, Baocai Yin: Graph neural networks with soft association between topology and attribute. AAAI Conference on Artificial Intelligence 2024

Personal Statement

Shaofan Wang received B.S. and Ph.D. degrees in Mathematics from Dalian University of Technology, in 2003 and 2010, respectively. He was a post-doctor at College of Computer Science, Beijing University of Technology from Jul 2010 to Jul 2012. He was an Assistant Professor at Beijing University of Technology from 2012 to 2016. He is currently an Associate Professor in Beijing University of Technology. He visited Pennsylvania State University (Joint Training Ph.D. Student by CSC project, Sep 2007-Sep 2008), University of Siegen (visiting scholar, Dec 2012-Mar 2013, Dec 2013-Mar 2014), and MSRA (Mar 2013-Sep 2013, visiting researcher at StarTrack project).