钱建军头像

钱建军

  副教授

硕士生导师

  • 目前就职： 计算机科学与技术学院
  • 导师类型/类别： 校内   硕士生导师
  • 个人主页：

10 访问

  • 联系电话：
  • 电子邮箱： csjqian@njust.edu.cn
  • 邮编： 210094
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  • 通讯地址：
  • 个人信息
  • 指导学科
  • 社会、学会及学术
  • 出版专著和教材
  • 科研创新
  • 教学活动
  • 发表论文
  • 指导学生情况
  • 其他信息
  • 获奖、荣誉称号

教育经历

工作经历

  • 2014年6月-至今,计算机科学与工程学院,教师

指导学科

学科专业(主)081200|计算机科学与技术招生类别硕士 所在学院计算机科学与工程学院
研究方向模式识别基础理论、计算机视觉

社会、学会及学术兼职

中国计算机学会会员

中国人工智能学会会员


出版专著和教材

科研创新

科研项目

教学活动

发表论文

Journal Articles

1.     Hengmin Zhang, Chen Gong, Jianjun Qian*, Bob Zhang, Chunyan Xu, Jian Yang*. Efficient Recovery of Low Rank Matrix via Double Nonconvex Nonsmooth Rank Minimization. IEEE Transactions on Neural Networks and Learning Systems, 2019, accepted.

2.     Hengmin Zhang, Jianjun Qian*, Junbin Gao, Jian Yang* and Chunyan Xu. Scalable Proximal Jacobian Iteration Method with Global Convergence Analysis for Nonconvex Unconstrained Composite Optimizations. IEEE Transactions on Neural Networks and Learning Systems, 2018, accepted.

3.     Lei Luo, Jian Yang, Jianjun Qian, Ying Tai, Gui-Fu Lu. Robust Image Regression Based on the Extended Matrix Variate Power Exponential Distribution of Dependent Noise.  IEEE Trans. Neural Netw. Learning Syst. 28(9): 2168-2182(2017)

4.     Hengmin Zhang, Jian Yang, Jianjun Qian, Wei Luo. Nonconvex relaxation based matrix regression for face recognition with structural noise and mixed noise. Neurocomputing 269: 188-198 (2017)

5.     Hengmin Zhang, Jian Yang, Jianchun Xie, Jianjun Qian, Bob Zhang, Weighted Sparse Coding Regularized Nonconvex Matrix Regression for Robust Face Recognition, Information Sciences, Volumes 394–395, July 2017, Pages 1–17

6.     Ying Tai, Jian Yang, Lei Luo, Jianjun Qian. Kernel Orthogonal Procrustes Regression for Face Recognition across Pose, Neurocomputing, Volume 239, 24 May 2017, 122–129

7.     Jianchun Xie, Jian Yang, Jianjun Qian, Ying Tai, and Hengmin Zhang, Robust Nuclear Norm-based Matrix Regression with Applications to Robust Face Recognition, IEEE Trans. on Image Processing, VOL. 26, NO. 5, MAY 2017, 2286 – 2295

8.     Jianchun Xie,Jian Yan, Jianjun Qian, Lei Luo. Bi-weighted Robust Matrix Regression for Face Recognition, Neurocomputing, Volume 237, 10 May 2017, Pages 375–387

9.     Yu Chen, Jian Yang, Jianjun Qian. Recurrent neural network for facial landmark detection. Neurocomputing 219: 26-38(2017)

10.  Jian Yang #, Lei Luo #, Jianjun Qian #, Ying Tai, Fanlong Zhang, Yong Xu, Nuclear Norm based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes, IEEE Transactions on Pattern analysis and machine intelligence, 2017, 39(1): 156-171. [# co-first author]

11.  Lei Luo, Jian Yang, Liang Chen, Jianjun Qian, and Bob Zhang, Tree-Structured Nuclear Norm Approximation with Applications to Robust Face Recognition, IEEE Trans. on Image Processing, 2016, 25(12), 5757-5767.

12.  Yu Chen, Jian Yang, Lei Luo, Hengmin Zhang, Jianjun Qian, Ying Tai, Jian Zhang, Adaptive Noise Dictionary Construction via IRRPCA for Face Recognition, Pattern Recognition,2016, 59: 26-41.

13.  Jianjun Qian, Jian Yang, et al. Exploring Deep Gradient Information for Biometric Image Feature Representation,Neurocomputing, 2016, 213:162-171.

14.  Ying Tai, Jian Yang, Yigong Zhang, Lei Luo, Jianjun Qian and Yu Chen, Face Recognition with Pose Variations and Misalignment via Orthogonal Procrustes, IEEE Trans. on Image Processing, 2016, 25(6):2673-2683.

15.  Ying Tai, Jian Yang,Lei Luo and Fanlong Zhang,Jianjun Qian,Learning Discriminative Singular Value Decomposition Representation for Face Recognition, Pattern Recognition, 2016, vol. 50, 1–16.

16.  Jianjun Qian, Lei Luo, Jian Yang, FanLong Zhang and Zhouchen Lin. Robust Nuclear Norm Regularized Regression for Face Recognition with Occlusion. Pattern Recognition , 48(10),3145-3159 (2015)

17.   Lei Luo, Jian Yang, Jianjun Qian, Ying Tai. Nuclear-L1 norm joint regression for face reconstruction and recognition with mixed noise. Pattern Recognition 48(12): 3811-3824 (2015)

18.  Jinhui Chen, Jian Yang, Lei Luo, Jianjun Qian and Wei Xu.Matrix Variate Distribution Induced Sparse Representation for Robust Image Classification. IEEE Transactions on Neural Networks and Learning Systems, 2015, 26(10): 2291-2300.

19.  Fanlong Zhang,Jian Yang,Jianjun Qian,Yong Xu. Nuclear Norm Based 2DPCA for Extracting Features from Images. IEEE Transactions on Neural Networks and Learning Systems , 2015, 26(10): 2247-2260. 

20.  Jian Zhang,Jian Yang, Jianjun Qian. Nearest Orthogonal Matrix Representation for Face Recognition. Neurocomputing, 151, 2015, 471-480.

21.  Jianjun Qian, Jian Yang and Yong Xu. General Regression and Representation Model for Classification. PLOS ONE, 9(12), 2014, 166-172.

22.  Guangwei Gao, Jian Yang, Jianjun Qian and Lin Zhang. Integration of multiple orientation and texture information for finger-knuckle-print verification. Neurocomputing 135 (2014) 180-191

23.  Jianjun Qian, Jian Yang etc. Histogram of Visual Words based on Locally Adaptive Regression Kernels Descriptors for Image Feature Extraction, Neurocomputing，129 (2014),516 – 527

24.  Jianjun Qian, Jian Yang and Yong Xu. Local Structure-based Image Decomposition for Feature Extraction with Applications to Face Recognition. IEEE Trans on Image Processing, 22 (9), 2013, 3591-3603

25.  Jianjun Qian and Jian Yang et.al. Discriminative Histograms of Local Dominant Orientation (D-HLDO) for Biometric Image Feature Extraction. Pattern Recognition, 46 (10), 2013, 2724–2739

26.  Nan Zhang, Jian Yang and Jianjun Qian. Component-based global k -NN classifier for small sample size problems, Pattern Recognition Letters, 33 (2012) 1689–1694

Conference Papers

1.     Jian Li, Yabiao Wang, Changan Wang, Ying Tai, Jianjun Qian*, Jian Yang*, Chengjie Wang, Jilin Li and Feiyue Huang. DSFD:Dual Shot Face Detector. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2019), accepted

2.     Haobo Jiang, Jianjun Qian*, Jin Xie, Jian Yang. Episode-Experience Replay Based Tree-Backup Method for Off-Policy Actor-Critic Algorithm. PRCV, 2018 : 562-573

3.     Jiaxin Chen, Jianjun Qian*, Zhihui Lai. Coarse-to-Fine Age Progression based on Conditional GANs. In: ACPR 2017. (Oral)

4.     Jian Li, Jianjun Qian*, Jian Yang. Object detection via Feature Fusion based Single Network. In: ICIP 2017

5.     Yu Chen, Jianjun Qian, Jian Yang, Zhong Jin. Face alignment with Cascaded Bidirectional LSTM Neural Networks. In: ICPR 2016: 313-318

6.     Jianchun Xie, Jian Yang, Ying Tai, Jianjun Qian. Volume measurement based tensor completion. In: ICIP 2016: 1838-1842

7.     Yuhan Zhang, Jianjun Qian, Jian Yang. Robust Face Frontalization in Unconstrained Images. CCPR (1) 2016: 225-233

8.     Jianjun Qian, Jian Yang and Ying Tai, Exploring Deep Gradient Information for Face Recognition, In: CCCV (2) 2015: 159-169

9.     Jianchun Xie, Jian Yang, JianjunQian and YingTai, Robust matrix regression for illumination and occlusion tolerantface recognition, In: ICCV workshop on RSL-CV 2015.

10.  Ying Tai, Jian Yang, Lei Luo and Jianjun Qian, Orthogonal Procrustes Problem based Regression with Application to Face Recognition with Pose Variations, In: IScIDE 2015

11.  Lei Luo, Jian Yang, Jianjun Qian, Jinhui Chen, Ying Tai, Nuclear-L1 Norm Joint Regression for Face Reconstruction and Recognition, ACCV, Nov 1-5, 2014
12.  Ying Tai, Jian Yang, Jianjun Qian and Yu Chen. Single-Sample Face Recognition via Fusion Variant Dictionary, CCPR, Nov 17-19, 2014

13.  Jianjun Qian, Jian Yang, Fanglong Zhang and Zhouchen Lin. Robust Low-Rank Regularized Regression for Face Recognition with Occlusion. Biometrics Workshop in conjunction with IEEE Conference on Computer Vision and Pattern Recognition (CVPRW), Columbus, Ohio, June 23-28, 2014.

14.  Lei Luo, Jian Yang, Jianjun Qian and Jingyu Yang. Nuclear Norm Regularized Sparse Coding, The 22nd International Conference on Pattern Recognition (ICPR), Stockholm, Sweden, 24-28 Aug, 2014

15.  Fanlong Zhang, Jianjun Qian and Jian Yang, Nuclear Norm based 2DPCA, The 2nd Asian Conference on Pattern Recognition (ACPR), November 5-8, 2013, Okinawa, Japan (Best student paper)

16.  Jianjun Qian and Jian Yang. General Regression and Representation Model for Face Recognition, Biometrics Workshop in conjunction with IEEE Conference on Computer Vision and Pattern Recognition (CVPRW), Portland Oregon, June 23, 2013

17.  Jianjun Qian, Jian Yang et. al, Force Work Induced Metric for Face Verification, 2012 Intelligence science and intelligent data engineering, Lecture Notes in Computer Science Volume 7751, 2013, 298-305

18.  Jianjun Qian, Jian Yang, A Novel Feature Extraction method for Face Recognition under Different LightingConditions.The6th Chinese Conference on Biometric Recognition (CCBR 2011), Beijing, Dec. 2011.


指导学生情况

2016级硕士：陈佳鑫（2017年转博）、李剑(2019年毕业 腾讯优图)

2017级硕士：蒋豪博（2018年转博）、徐瑞

2018级硕士：朱淑敏、闫梦凯


其他信息

研究生李剑在2017年1月荣获神州专车“无人驾驶深度学习挑战赛”冠军！

研究生李剑在2017年9月荣获Udacity-DiDi无人驾驶全球挑战赛冠军！

获奖、荣誉称号

  • 1、江苏省自然科学技术奖,南京理工大学,钱建军（排名第四）,2017,一等奖

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