钱 建 军

Jianjun Qian

Ph.D. Associate Professor, PCALab

CSE & AI, NUST, China

Email:csjqian@njust.edu.cn
 
 

 

Brief CV

Research Interests

Publications

Research Projects

Scientific Research Awards

Services

Students

Contact

Brief CV

I received the PhD degree from Nanjing University of Science and Technology (NUST), on the subject of pattern recognition and intelligence systems in 2014 (supervisor Jian Yang). Currently, I am an associate professor of School of Computer Science and Engineering in NUST and a faculty member of PCALab. I was selected as a Hong Kong Scholar in China in 2018.

Research Interests

My current research mainly include pattern recognition and computer vision. More specially, I am interested in:

sparse/low-rank theory, optimal transport, representation learning and disguised face recognition.

Publications

Journals

1.     Jianjun Qian, Shuming Zhu, Wai Keung Wong, Hengmin Zhang, Zhihui Lai and Jian Yang. Dual Robust Regression for Pattern Classification. Information Sciences, 546: 1014-1029, 2021.

2.     Jianjun Qian, Wai Keung Wong, Hengmin Zhang, Jin Xie and Jian Yang. Joint Optimal Transport with Convex Regularization for Robust Image Classification. IEEE Transactions on Cybernetics. To appear.

3.     Jianjun Qian, Xi Cheng, Mengkai Yan, Yicheng Gao and Jian Yang. Robust face perception methods with applications to human body temperature measurement system (in Chinese). Sci Sin Inform, 2020, doi: 10.1360/SSI-2020-0047

4.     Jianjun Qian, Jian Yang, Yong Xu, Jin Xie, Zhi-hui Lai and Bob Zhang. Image Decomposition based Matrix Regression with Applications to Robust Face Recognition. Pattern Recognition, 102:107204, 2020.

5.     Hengmin Zhang, Jianjun Qian*, Bob Zhang, Jian Yang*, Chen Gong and Yang Wei. Low-Rank Matrix Recovery via Modified Schatten-p Norm Minimization with Convergence Guarantees. IEEE Transactions on Image Processing, 29:3132-3142, 2020.

6.     Hengmin Zhang, Chen Gong, Jianjun Qian*, Bob Zhang, Chunyan Xu and Jian Yang*. Efficient Recovery of Low Rank Matrix via Double Nonconvex Nonsmooth Rank Minimization. IEEE Transactions on Neural Networks and Learning Systems, vol 30, No. 10, pp: 2916-2925, 2019.

7.     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, vol 30, No.9, pp:2825-2839, 2019.

8.     Jian Yang#, Lei Luo#, Jianjun Qian#, Ying Tai and Fanlong Zhang, 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 authors)

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

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

11.  Jianjun Qian, Jian Yang etc. Histogram of Visual Words based on Locally Adaptive Regression Kernels Descriptors for Image Feature Extraction, Neurocomputing, vol 129, pp 516-527, 2014.

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

13.  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, Vol. 22, No. 9, September 2013

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

15.  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)

16.  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

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

18.  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

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

20.  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.

21.  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.

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

23.  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.

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

25.  Fanlong Zhang, Jian Yang, Jianjun Qian and Yong Xu. Nuclear Norm Based 2DPCA for Extracting Features from Images. IEEE Transactions on Neural Networks and Learning Systems, vol 26, no 10, pp 2247-2260, 2015

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

27.  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, vol 26, no 10, pp 2291-2300, 2015.

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

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

 

Conference

1.         Shumin Zhu, Jianjun Qian*, Yangwei Dong and Wai Keung Wong. The devil is in the detail: deep feature based disguised face recognition method. Chinese Conference on Pattern Recognition and Computer Vision (PRCV) 2020, Oct 16-18.

2.         Yifan Zhao, Jin Xie, Jianjun Qian and Jian Yang. PUI-Net: A point cloud upsampling and inpainting network. Chinese Conference on Pattern Recognition and Computer Vision (PRCV) 2020, Oct 16-18.

3.         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.

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

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

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

7.         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, pp.21-26 2014.

8.         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, pp.166-172. 2013

9.         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, pp. 298-305, 2013.

10.     Jianjun Qian, Jian Yang, A Novel Feature Extraction method for Face Recognition under Different Lighting Conditions. The 6th Chinese Conference on Biometric Recognition (CCBR 2011), Beijing, Dec 11-13, pp.17-24, 2011. (Oral)

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

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

13.     Ying Tai, Jian Yang, Fanlong Zhang, Yigong Zhang, Lei Luo and Jianjun Qian, Face Recognition with Pose Variations and Misalignment via Structural Orthogonal Procrustes Regression. In: SDM 2016

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

15.     Ying Tai, Jianjun Qian, Jian Yang and Zhong Jin, Face Recognition with Image Misalignment via Structure Constraint Coding, Human Identification for Surveillance (HIS) Workshop in conjunction with ACCV, Nov 2, 2014.

16.     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.

17.     Lei Luo, Jian Yang, Jianjun Qian and Jingyu Yang. Nuclear Norm Regularized Sparse Coding, The 22nd International Conference on Pattern Recognition (ICPR), 2014

18.     Ying Tai, Jian Yang, Jianjun Qian and Yu Chen. Single-Sample Face Recognition via Fusion Variant Dictionary, CCPR, Nov 17-19, 2014.

19.     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)

Note: * Corresponding author.

Research Projects

1.     Robust matrix regression representation method with applications to image recognition, supported by National Science Foundation of China (Grant No. 61876083; Duration: Jan 2019-Dec 2022), Principal researcher

2.     Local feature representation of visual information and its applications, supported by National Science Foundation of China (Grant No. 61502235; Duration: Jan 2015-Dec 2018), Principal researcher

3.     Theory of Low Dimensional Representation, Metric and Recognition for High Dimensional Visual Information (Key Program), supported by National Science Foundation of China (Grant No. 61233011, Jan 2013-Dec 2017), Researcher

4.     Pattern Recognition and Intelligent Systems, supported by the National Science Fund for Distinguished Young Scholars (Grant No. 61125305; Duration: Jan 2012-Dec 2015), Researcher

Scientific Research Awards

1.     In 2017, the co-fulfilled research project “Theory and algorithms for Image structure representation and recognition” was granted the First Prize of Jiangsu Science and Technology Award.

2.     Best student Paper in ACPR 2013.

Services

Reviewers of the following journals and conferences:

IEEE Transaction on Neural Networks and Learning Systems

IEEE Transaction on Image Processing

IEEE Transaction Knowledge and Data Mining

IEEE Transaction on Multimedia

IEEE Transaction on Cybernetics

Pattern Recognition

Pattern Recognition Letters

Neurocomputing

Neural Computing and Applications

EURASIP Journal on Image and Video Processing 

The Visual Computer Journal

AAAI 2019; MMM 2018, 2019;ACPR, IJCNN, IScIDE

Guest Editors for Neural Processing Letter and The Visual Computer

Students

2020~    : Hengshuo Cao (曹恒硕), Master.

2020~    : Chaoyu Zhao (赵超宇), Master.

2020~    : Bixiao Ling (凌碧霄)，Master.

2019~    : Yangwei Dong (董阳威)，Master.

2019~    : Yikai Bian (边一凯)，Master.

2019~    : Qinghu Wang (王青虎)，Master.

2018~    : Shumin Zhu (朱淑敏), Master, one PRCV paper and one INS paper. (won the Outstanding Award in IAPR/IEEE Winter School on Biometrics 2020)

2018~2019: Mengkai Yan (闫梦凯), Master; now a Ph.D student of Prof. Jian Yang.

2017~2019: Rui Xu (徐瑞), Master; now a Ph.D student of Prof. Jin Xie.

2017~2018: Haobo Jiang (蒋豪博), Master, one PRCV paper; now a Ph.D student of Prof. Jian Yang.

2016~2017: Jiaxin Chen (陈佳鑫), Master, one ACPR paper; now a Ph.D student of Prof. Jian Yang. (2018年ChinaMM用户兴趣建模大赛冠军)

2016~2019: Jian Li (李剑), Master, one CVPR paper and one ICIP paper; now at Tencent YoutuLab. (入选2017年腾讯犀牛鸟精英研究生计划，2017年Didi-Uacity 无人驾驶全球挑战赛冠军，2018年AI Challenger无人驾驶视觉感知竞赛 亚军)

Contact

Room 4067, School of Computer Science and Technology,

Nanjing University of Science and Technology,

Nanjing, 210094, P.R. China

Web: Personal homepage at School of Computer Science and Engineering of NJUST