发表论文
[1] Ren-Hong Wang,Shao-Fan Wang*: Lagrange interpolation set along linear piecewise algebraic curves.Communications in Mathematical Sciences7(1) 2009:165-174SCI IF=0.982
[2] Renhong Wang,Shaofan Wang*:The Bezout number for linear piecewise algebraic curves.Computers & Mathematics with Applications59(2) 2010: 1019-1030SCI 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 Series27(9) 2011: 1717-1724SCI 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 Mathematics25(2) 2011: 561-582SCIIF=0.648
[5] Min Xu, Qin Fang,Shaofan Wang: Convergence analysis of an empirical eigenfunction-based ranking algorithm with truncated sparsity.Abstract and Applied Analysis2014: 197476:1-8SCI IF=1.102
[6]Shaofan Wang*, Dehui Kong, Juan Xue, Weijia Zhu, Min Xu, Baocai Yin, Hubert Roth: Connectivity-preserving geometry images.The Visual Computer31(9) 2015: 1163-1178SCI IF=1.06
[7] Min Xu, Qin Fang,Shaofan Wang, Junbin Li: On empirical eigenfunction based ranking with L1 norm regularization.Journal of Approximation Theory192, 2015: 273-290SCI 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 Engineering17(1) 2016: 41-54SCI IF=0.622
[9] Honglin Liu, Dehui Kong,Shaofan Wang, Baocai Yin: Sparse pose regression via componentwise clustering feature point representation.IEEE Transactions on Multimedia18(7) 2016: 1233-1244SCI 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 Engineering31(5) 2017: 04017027:1-9SCI IF=1.798
[11] Yong Zhang, Bowei Shen,Shaofan Wang, Dehui Kong, Baocai Yin:L0-regularization-based skeleton optimization from consecutive point sets of kinetichuman body.ISPRS Journal of Photogrammetry and Remote Sensing143, 2018: 124-133SCI 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 Multimedia21(2), 2019: 314-323SCI 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: 6329-6353SCI 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 Magazine11(3), 2019:181-199SCI 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 Representation59, 2019: 272-282SCI 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 Magazine11(3), 2019:221-234SCI IF=3.294
[17] Zhonghua Wei, Jingxuan Peng, Xinwang Ma, Shi Qiu,Shaofan Wang*: Towards micro-scale correlations betweenPM2.5 concentration and traffic volume: a wavelet perspective.IEEE Transactions on Vehicular Technology68(11) 2019:10439-10452SCI 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 Multimedia22(8) 2020: 2177-2190SCI 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 Systems22(10) 2021:6547-6560SCI 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 Multimedia23, 2021: 2857-2867SCI 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 Multimedia23, 2021: 2843-2856SCI 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 Computer37(5), 2021: 1045-1059SCI 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 Representation67, 2020, 102750:1-102750:9SCI IF=2.678
[24] Jinghua Li, Pengyu Tian, Dehui Kong,Shaofan Wang, Baocai Yin: Discriminative matrix-variate restricted Boltzmann machine classification model.Wireless Networks27, 2021: 3621-3633SCI 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, 1-23SCI 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):652-672SCI 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, 4837-4849SCI 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 Applications80,2021: 33547-33571SCI 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, 2022:243-256SCI 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, 108563:1-108563:10SCI 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, 110:1-110:22SCI IF=4.094
[35] Bin Sun,Shaofan Wang*, Dehui Kong, Baocai Yin: Grassmannian graph-attentional landmark selection for domain adaptation.Multimedia Tools and Applications81(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 Systems16, 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 Intelligence53, 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 Letters7(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 Processing2022, 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.Displays74, 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.Displays2023, 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 Multimedia25, 2023: 5248-5262SCI 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 Networks156, 2022, 271-284SCI 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 Networks158, 2023, 305-317SCI 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 Design156, 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 Processing17(4), 2023: 1236-1252SCI 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 Technology33(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.Neurocomputing533, 2023: 22-34SCI 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=10.4https://doi.org/10.1109/TNNLS.2023.3281570
[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 Technology73(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.Neurocomputing554, 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.Neurocomputing559, 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 Sciences649, 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, https://doi.org/10.1007/s11042-023-16898-2
[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, 24:1-23SCI 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=10.4https://doi.org/10.1109/TNNLS.2024.3357080
[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 Intelligence2024
