Selected Publications

[1] Chen Z, *Wang C, Wen C, Teng X, Chen Y, Guan H, Luo H, Cao L, Li J, 2015 [online]. Vehicle detection in high-resolution aerial images via sparse representation and superpixels, IEEE Transactions on Geoscience and Remote Sensing, 10.1109/TGRS.2015.2451002 (IEEE: SCI/EI)

[2] Wang H, Luo H, *Wen C, Cheng J, Li P, Chen Y, Wang C, and Li J, 2015. Road boundaries detection based on local normal saliency from mobile laser scanning data, IEEE Geoscience and Remote Sensing Letters, 12(10), 2085-2089(IEEE: SCI/EI)

[3] Wang H, *Wang C, Luo H, Li P, Chen Y, Li J, 2015. 3-D point cloud object detection based on supervoxel neighborhood with Hough forest framework, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(4), 1570-1581 (IEEE: SCI/EI)

[4] *Wang L,Li X,Chen Y,Qin J, 2015, Application of L0-Norm Regularization to EpicardialPotential Reconstruction, Medical Image Computing and Computer Assisted Intervention (MICCAI 2015), Munich, Germany (EI)

[5] Zai D, *Chen Y, Li J, Yu Y, Wang C, Nie H, 2015. Inventory of 3D street lighting poles using mobile laser scanning point clouds, International Geoscience and Remote Sensing Symposium (IGARSS):573-576 (IEEE: EI).

[6] Huang P, *Chen Y, Li J, Yu Y, Wang C, Nie H, 2015. Extraction of street trees from mobile laser scanning point clouds based on subdivided dimensional features, International Geoscience and Remote Sensing Symposium (IGARSS): 557-560 (IEEE: EI).

[7] Wu S, *Wen C, Luo H, Chen Y, Wang, C, Li J, 2015. Using mobile lidar point clouds for traffic sign detection and sign visibility estimation, International Geoscience and Remote Sensing Symposium (IGARSS): 565-568 (IEEE: EI).

[8] Chen K, *Cheng M, Zhou M, Chen X, Chen Y, Li J, Nie H, 2015. Automated object extraction from MLS data: a survey, International Geoscience and Remote Sensing Symposium (IGARSS): 5375-5378(IEEE: EI).

[9] Zhang Z, *Cheng M, Chen X, Zhou M, Chen Y, Li J, Nie H, 2015. Turning mobile laser scanning points into 2D/3D on-road object models: current status, International Geoscience and Remote Sensing Symposium (IGARSS): 3524-3527 (IEEE: EI).

[10] Weng S, Li J, Chen Y, *Wang C, 2015. Road traffic sign detection and classification from mobile LiDAR point clouds, International Conference on Computer Vision in Remote Sensing, in press (IEEE: EI).

[11] Chi W, Zheng T, *Xie Y, Li Z, Chen Y, 2015 accepted. End-to-End available bandwidthestimationusing HybChirp, International Journal of Computational Science and Engineering(EI).

[12] Chi W, *Chen Y, Su C, Shi X, 2014. Global reoccurrence measure for keyword extraction, 11th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2014, p587-592 (EI).

[13] 田嘉, *苏畅, 陈怡疆, 2015. 隐喻计算研究进展, 软件学报, 26(1):40-51 (EI).

[14] *陈怡疆, 徐海波, 史晓东, 苏畅, 2015. 基于树形条件随机场的跨语言时态标注, 软件学报, 26(12):3151-3161(EI).

[15] Zhuang J, *Deng Z, Ye Y, Zhang Y, Chen Y, 2015. Micro-Doppler ambiguity resolution based on short-time compressed sensing, Journal of Electrical and Computer Engineering, doi: 10.1155/2015/864508 (Hindawi: EI)

[16] Huang Y, *Shi X, Su J, Chen Y, Huang G, 2015. Unsupervised word sense induction using rival penalized competitive learning,Engineering ApplicationsofArtificial Intelligence, 41: 166-174 (Elsevier: SCI/EI).

[17] Huang Y, Xiong D, *Shi X, Chen Y, Wu C, Huang G, 2015. Adapted competitive learning on continuous semantic space for word sense induction,Neurocomputing, DOI: 10.1016/j.neucom.2015.07.090 (Elsevier: SCI/EI).

[18] *Su C,Tian J,ChenY, 2014. An adjective-based embodied knowledge net, Communications in Computer and Information Science, 496: 46-53,(IEEE: EI)