专利

EDUCATION
2006/09‐2012/06    Ph.D. of Engineering      Xi’an Jiaotong University
    Major: Pattern Recognition and Intelligent System
    Advisor: Prof. NanNing Zheng, Academician of Chinese Academy of Engineering, IEEE Fellow
2009/06-2010/08    Visiting Graduate Student    Massachusetts Institute of Technology (MIT)
    Major: Brain and Cognitive Science
    Advisor: Prof. Ruth Rosenholtz
2003/09‐2006/06    Master of Engineering      Xi’an Jiaotong University
    Major: Pattern Recognition and Intelligent System
    Advisor: Prof. NanNing Zheng, Academician of Chinese Academy of Engineering, IEEE Fellow
1999/09‐2003/07    Bachelor of Engineering     Xi’an Jiaotong University
    Major: Information Engineering
 

论文

[1]
B. Yang, X. Zhang, F. Nie, F. Wang, W. Yu, and R. Wang, “Fast Multi-View Clustering via Nonnegative and Orthogonal Factorization,” IEEE Transactions on Image Processing, vol. 30, pp. 2575–2586, 2021, doi: 10.1109/TIP.2020.3045631.
[2]
李中衡, 杨奔, 张劲节, 刘银川, 张雪涛, and 王飞, “基于相关熵的快速聚类算法,” 西安交通大学学报, vol. 2021, no. 07, 2021.
[3]
J. Wu, M. Lu, Y. Lin, and X. Zhang, “Scanpaths Generation for Target Search Based on Deep Learning,” in 2020 Chinese Automation Congress (CAC), 2020, pp. 1443–1448, doi: 10.1109/CAC51589.2020.9327358.
[4]
S. Du, G. Xu, S. Zhang, X. Zhang, Y. Gao, and B. Chen, “Robust rigid registration algorithm based on pointwise correspondence and correntropy,” Pattern Recognition Letters, vol. 132, pp. 91–98, 2020, doi: https://doi.org/10.1016/j.patrec.2018.06.028.
[5]
J. Zhang, P. Jiang, X. Zhang, and F. Wang, “A Random Forest Concentration Detection Model for Short Video,” Proceedings of 2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems, CCIS 2018, p. p 850-854, 2019, doi: 10.1109/CCIS.2018.8691228.
[6]
B. Yang, X. Zhang, Z. Li, S. Du, and F. Wang, “An Accurate and Robust Gaze Estimation Method Based on Maximum Correntropy Criterion,” IEEE Access, vol. 7, pp. 23291–23302, 2019, doi: 10.1109/ACCESS.2019.2896303.
[7]
M. Nie, J. Zhang, and X. Zhang, “Ship Segmentation and Orientation Estimation Using Keypoints Detection and Voting Mechanism in Remote Sensing Images,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. v 11555 LNCS, p. p 402-413, 2019, doi: 10.1007/978-3-030-22808-8_39.
[8]
S. Du et al., “Precise iterative closest point algorithm with corner point constraint for isotropic scaling registration,” Multimedia Systems, vol. 25, no. 2, pp. 119–126, Apr. 2019, doi: 10.1007/s00530-017-0573-6.
[9]
X. Zhang, B. Yang, Y. Li, C. Zuo, X. Wang, and W. Zhang, “A method of partially overlapping point clouds registration based on differential evolution algorithm,” PLOS ONE, vol. 13, no. 12, p. e0209227, Dec. 2018, doi: 10.1371/journal.pone.0209227.
[10]
X. Zhang, L. Jian, and M. Xu, “Robust 3D point cloud registration based on bidirectional Maximum Correntropy Criterion,” PLOS ONE, vol. 13, no. 5, p. e0197542, May 2018, doi: 10.1371/journal.pone.0197542.
[11]
G. Xu et al., “Precise Point Set Registration Using Point-to-Plane Distance and Correntropy for LiDAR Based Localization,” in 2018 IEEE Intelligent Vehicles Symposium (IV), 2018, pp. 734–739, doi: 10.1109/IVS.2018.8500525.
[12]
D. Wang, F. Zhao, T. Wang, and X. Zhang, “WiFi Fingerprint Based Indoor Localization with Iterative Weighted KNN for WiFi AP Missing,” IEEE Vehicular Technology Conference, vol. v 2018-August, 2018, doi: 10.1109/VTCFall.2018.8690648.
[13]
D. Wang, T. Wang, F. Zhao, and X. Zhang, “Improved Graph-Based Semi-Supervised Learning for Fingerprint-Based Indoor Localization,” 2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings, 2018, doi: 10.1109/GLOCOM.2018.8647621.
[14]
Y. Qiao, X. Zhang, Y. Wang, and X. Wang, “Prediction of search targets from fixations based on weighted average map,” 2018 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2018, 2018, doi: 10.1109/ICSPCC.2018.8567774.
[15]
B. Liu, P. Jiang, F. Wang, X. Zhang, H. Hao, and S. Bai, “Attention detection by learning hierarchy feature fusion on eye movement,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. v 10996 LNCS, p. p 497-503, 2018, doi: 10.1007/978-3-319-97909-0_53.
[16]
P. Li, M. Lu, and X. Zhang, “Driver Pose Estimation by Hybrid Convolutional Network Architecture,” in 2018 Chinese Automation Congress (CAC), 2018, pp. 3767–3772, doi: 10.1109/CAC.2018.8623392.
[17]
P. Jiang, X. Zhang, and F. Wang, “Red Blood Cell Detection by the Improved Two-Layer Watershed Segmentation Method with a Full Convolutional Neural Network,” Journal of Medical Imaging and Health Informatics, vol. 8, no. 1, pp. 50–54, 2018, doi: doi:10.1166/jmihi.2018.2231.
[18]
J. Jiang, P. Xue, S. Chen, Z. Liu, X. Zhang, and N. Zheng, “Line Feature Based Extrinsic Calibration of LiDAR and Camera,” in 2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES), 2018, pp. 1–6, doi: 10.1109/ICVES.2018.8519493.
[19]
Y. Wang, M. Yang, X. Zhang, and F. Wang, “A hypergraph-cut based denoising algorithm for ICCD image,” Proceedings - 2017 Chinese Automation Congress, CAC 2017, vol. v 2017-January, p. p 7601-7605, 2017, doi: 10.1109/CAC.2017.8244154.
[20]
F. Wang, Y. Wang, M. Yang, X. Zhang, and N. Zheng, “A Denoising Scheme for Randomly Clustered Noise Removal in ICCD Sensing Image,” Sensors, vol. 17, no. 2, Art. no. 2, Feb. 2017, doi: 10.3390/s17020233.
[21]
Y. Han, B. Chen, and X. Zhang, “Sex difference of saccade patterns in emotional facial expression recognition,” Communications in Computer and Information Science, vol. v 710, p. p 144-154, 2017, doi: 10.1007/978-981-10-5230-9_16.
[22]
S. Du et al., “Robust iterative closest point algorithm based on global reference point for rotation invariant registration,” PLOS ONE, vol. 12, no. 11, p. e0188039, Nov. 2017, doi: 10.1371/journal.pone.0188039.
[23]
S. Du, J. Liu, Y. Liu, X. Zhang, and J. Xue, “Precise glasses detection algorithm for face with in-plane rotation,” Multimedia Systems, vol. 23, no. 3, pp. 293–302, Jun. 2017, doi: 10.1007/s00530-015-0483-4.
[24]
S. Du, W. Cui, X. Zhang, L. Wu, and L. Xiong, “Precise isotropic scaling iterative closest point algorithm based on corner points for shape registration,” 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017, vol. v 2017-January, p. p 1811-1815, 2017, doi: 10.1109/SMC.2017.8122879.
[25]
S. Du, B. Bi, G. Xu, J. Zhu, and X. Zhang, “Robust non-rigid point set registration via building tree dynamically,” Multimed Tools Appl, vol. 76, no. 9, pp. 12065–12081, May 2017, doi: 10.1007/s11042-016-4018-6.
[26]
Z. Wang, P. Jiang, F. Wang, and X. Zhang, “Recurrent double features: Recurrent multi-scale deep features and saliency features for salient object detection,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. v 9917 LNCS, p. p 376-386, 2016, doi: 10.1007/978-3-319-48896-7_37.
[27]
W. Wang, F. Wang, P. Liu, Y. He, and X. Zhang, “A monovision-based 3D pose estimation system for vehicle behavior prediction,” Proceedings - 2016 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2016, p. p 95-100, 2016, doi: 10.1109/ICVES.2016.7548177.
[28]
W. Wang, X. Zhang, Y. Wen, and F. Wang, “Study of cognitive distraction detection based on GMA analysis,” Proceedings - 2016 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2016, p. p 83-88, 2016, doi: 10.1109/ICVES.2016.7548175.
[29]
B. Tian, P. Jiang, X. Zhang, Y. Zhang, and F. Wang, “A novel feature point detection algorithm of unstructured 3D point cloud,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. v 9773, p. p 736-744, 2016, doi: 10.1007/978-3-319-42297-8_68.
[30]
P. Jiang et al., “A Novel Cascading Red Blood Cell Segmentation Method,” Journal of Medical Imaging and Health Informatics, vol. 6, no. 7, pp. 1708–1713, 2016, doi: doi:10.1166/jmihi.2016.1876.
[31]
Y.-N. Chen, F. Wang, H. Dong, X. Zhang, and H. Yang, “An efficient solution for extrinsic calibration of a vision system with simple laser,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. v 9916 LNCS, p. p 459-468, 2016, doi: 10.1007/978-3-319-48890-5_45.
[32]
X. Zhang, J. Huang, S. Yigit-Elliott, and R. Rosenholtz, “Cube search, revisited,” Journal of Vision, vol. 15, no. 3, pp. 9–9, Mar. 2015, doi: 10.1167/15.3.9.
[33]
Y. Wen, X. Zhang, F. Wang, and J. Han, “Predicting driver lane change intent using HCRF,” 2015 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2015, p. p 64-68, 2015, doi: 10.1109/ICVES.2015.7396895.
[34]
Y. Wang, X. Zhang, M. Li, P. Jiang, and F. Wang, “A GM-HMM based abnormal pedestrian behavior detection method,” 2015 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2015, 2015, doi: 10.1109/ICSPCC.2015.7338935.
[35]
Y. Hou and X. Zhang, “A geometric constrained HCRF for object recognition,” 2015 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2015, 2015, doi: 10.1109/ICSPCC.2015.7338950.
[36]
X. Zhang, P. Jiang, and F. Wang, “Overtaking vehicle detection using a spatio-temporal CRF,” in 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014, pp. 338–343, doi: 10.1109/IVS.2014.6856546.
[37]
W. Liu, N. Zheng, J. Xue, X. Zhang, and Z. Yuan, “Visual Appearance-Based Unmanned Vehicle Sequential Localization,” International Journal of Advanced Robotic Systems, vol. 10, Jan. 2013, doi: 10.5772/54899.
[38]
X. Zhang, N. Zheng, F. Wang, and Y. He, “Visual recognition of driver hand-held cell phone use based on hidden CRF,” Proceedings of 2011 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2011, p. p 248-251, 2011, doi: 10.1109/ICVES.2011.5983823.
[39]
X. Zhang, N. Zheng, Y. He, and F. Wang, “Vehicle detection using an extended hidden random field model,” IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, p. p 1555-1559, 2011, doi: 10.1109/ITSC.2011.6083135.
[40]
X. Zhang and N. Zheng, “Vehicle detection under varying poses using conditional random fields,” IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, p. p 875-880, 2010, doi: 10.1109/ITSC.2010.5624980.
[41]
L. Ma, N. Zheng, Z. Yuan, and X. Zhang, “A Novel Dual-Probe Adaptive Model for Image Change Detection,” IEEE Signal Processing Letters, vol. 17, no. 10, pp. 863–866, 2010, doi: 10.1109/LSP.2010.2063023.
[42]
J. Zhu, N. Zheng, Z. Yuan, Q. Zhang, and X. Zhang, “Unscented SLAM with conditional iterations,” in 2009 IEEE Intelligent Vehicles Symposium, 2009, pp. 134–139, doi: 10.1109/IVS.2009.5164266.
[43]
J. Zhu, N. Zheng, Z. Yuan, Q. Zhang, X. Zhang, and Y. He, “A SLAM algorithm based on the central difference Kalman filter,” in 2009 IEEE Intelligent Vehicles Symposium, 2009, pp. 123–128, doi: 10.1109/IVS.2009.5164264.
[44]
X. Zhang, N. Zheng, F. Mu, and Y. He, “Head pose estimation using isophote features for driver assistance systems,” in 2009 IEEE Intelligent Vehicles Symposium, 2009, pp. 568–572, doi: 10.1109/IVS.2009.5164340.
[45]
Wei Liu, Nanning Zheng, Xuetao Zhang, Zejian Yuan, and Xiangming Peng, “A sequential mobile vehicle location method with visual features,” in 2009 IEEE Intelligent Vehicles Symposium, 2009, pp. 353–357, doi: 10.1109/IVS.2009.5164303.
[46]
H. Cheng, N. Zheng, X. Zhang, J. Qin, and H. van de Wetering, “Interactive Road Situation Analysis for Driver Assistance and Safety Warning Systems: Framework and Algorithms,” IEEE Transactions on Intelligent Transportation Systems, vol. 8, no. 1, pp. 157–167, 2007, doi: 10.1109/TITS.2006.890073.
[47]
Hong Cheng, Nanning Zheng, Lin Ma, Junjie Qin, and Xuetao Zhang, “Vehicle active safety applications by fusing multiple-sensor for the Springrobot system,” in IEEE International Conference on Vehicular Electronics and Safety, 2005., 2005, pp. 155–160, doi: 10.1109/ICVES.2005.1563633.
[48]
Q. Li, N. Zheng, and X. Zhang, “Triple lines approach to calibration of camera mounted in intelligent vehicle,” Proceedings of SPIE - The International Society for Optical Engineering, vol. v 5422, p. p 541-548, 2004, doi: 10.1117/12.541996.
[49]
H. Cheng, N. Zheng, X. Zhang, and L. Zhao, “A robust road recognition algorithm,” Proceedings of the World Congress on Intelligent Control and Automation (WCICA), vol. v 6, p. p 5275-5278, 2004, doi: 10.1109/WCICA.2004.1343729.
[50]
李青, 郑南宁, and 张雪涛, “用三线法标定车载摄像机的外部参数,” 光电工程, vol. 2004, no. 8, pp. 23–26, 2004.
[51]
李青, 郑南宁, and 张雪涛, “车载摄像机安装方案探讨,” 计算机工程与应用, vol. 2004, no. 23, pp. 150–152, 2004.
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