Curriculum Vitae
Of
Jian Yang
Contact
Information
Phone (Office): +86 25 8431 5636
Email: csjyang@njust.edu.cn
Web: http://www.patternrecognition.asia/jian/
Education
Sep 1999 - Jun 2002 Ph.D. in Pattern Recognition and Intelligence System, Department of Computer Science, Nanjing University of Science and Technology
Sep 1995 - Jun 1998 M.S. in
Applied Mathematics, Department of Mathematics,
Sep 1991 - Jul 1995 B.S. in Mathematics, Department of Mathematics, Xuzhou Normal University
Professional Experience
Sep
2007-Present Professor, School of
Computer Science and Technology, Nanjing University of Science and Technology
Apr
2011-Sep 2011 Visiting Associate,
Computation and Neural Systems, California Institute of Technology
Nov 2009 –
Dec 2009 Visiting
Fellow, Department of Mathematics, National University of Singapore
Nov 2006 - Sep
2007 Postdoctoral
Fellow, Department of Computer Science, New Jersey Institute of Technology, USA
Apr 2004 – Nov
2006 Research
Associate and Postdoctoral Fellow, Biometric Centre, Department of Computing,
Hong Kong Polytechnic University
Jan 2004 - Apr
2004 Postdoctoral Researcher,
Department of Computer Science, Nanjing University of Science and Technology
Jan 2003 - Dec 2003 Postdoctoral Researcher, Computer Vision Group,
Sep 1998 - Dec 2002 Assistant
Professor, Department of Applied Mathematics, Nanjing University of Science and
Technology.
Research
Interests
Pattern recognition, computer vision and machine learning, in particular
on dimensionality reduction (subspace learning), discriminant analysis,
manifold learning, kernel methods, sparse and low-rank methods, and deep
learning
Research Projects
1.
Active
Environment Perception and Target Behavior Recognition for Service Robots (Key
Project), supported by the National Natural Science Foundation of China (Grant
No. U1713208, Duration: Jan. 2018-Dec. 2021), Principal Investigator
2. Biologically Cognitive Mechanisms and Characteristics Inspired Vision Computing Models and Algorithms (Key Project), supported by the National Natural Science Foundation of China (Grant No. 91420201, Duration: Jan. 2015-Dec. 2017), Principal Investigator
3.
Representation
Learning based Image Recovery and Recognition, supported by National Science
Foundation of China (Grant No.
61472187; Duration: Jan 2015-Dec 2018), Principal Investigator
4.
Pattern Recognition and Intelligent Systems, supported
by the National Science Fund
for Distinguished Young Scholars (Grant
No. 61125305; Duration: Jan 2012-Dec 2015), Principal Investigator
5.
Sparse
theory based image feature extraction and
classification methods, supported by National Science Foundation of China
(Grant No. 60973098; Duration: Jan 2010-Dec 2012), Principal Investigator
6.
Discriminant
analysis, dimensionality reduction and data fusion research, Supported by the
Program for New Century Excellent Talents in University of China (Duration: Jan 2009-Dec 2011), Principal Investigator
7.
Theory
and technologies of discriminant analysis for dealing with high-dimensional
information (Key Project), supported by the National Natural Science Foundation
of China (Grant No. 60632050, Duration: Jan. 2007-Dec. 2010), Investigator
Professional
Activities
Associate editors of the
following journals:
Pattern Recognition (2017-)
Pattern Recognition Letters (2008-)
IEEE/CAA Journal of Automatica Sinica (2015-)
IEEE Transactions on Neural
Networks and Learning Systems (2012-2015)
Neurocomputing (2008-2011)
Guest Editor:
Special Issue on
Advances in Representation Learning,
Pattern
Recognition
Activities
in Academic Conferences:
2017 Asia Conference on Pattern
Recognition (ACPR 2017), Program Chair
2017 International Conference on Intelligence Science
and Big Data Engineering (IScIDE 2017), Program Chair
2016 Chinese Conference on Pattern
Recognition (CCPR 2016), Program Chair
2016 International Conference on Intelligence Science
and Big Data Engineering (IScIDE 2016), Program Chair
Vision And
Learning SEminar (VALSE 2013), Local Chair
Sino-foreign-interchange Workshop on
Intelligence Science and Intelligent Data Engineering (IScIDE 2012), Program
Chair
The first Asia Conference on Pattern
Recognition (ACPR 2011), PC Member;
International Joint Conference on
Biometrics (IJCB 2011), Program Committee (PC) Member;
2010 IEEE Fourth International
Conference on Biometrics: Theory, Applications and Systems, Program Committee
(PC) Member
2009 Chinese Conference on Pattern
Recognition, Program Chair;
2008 Chinese Conference on Pattern
Recognition, Program Committee (PC) Member;
2008 International Conference on Computational Intelligence
and Security (CIS'08), PC Member
International Conference on
Biometrics 2006 (ICB 2006), Program Administrator;
The Ninth International Conference on
Control, Automation, Robotics and Vision (ICARCV 2006), Session Chair: WP8 -
Feature Extraction
Awards
In 2017, the co-authored paper “Learning
Pairwise Similarity Guided Sparse Functional Connectivity Network for MCI
Classification” won
the 2017 IAPR Asian Conference on Pattern Recognition (ACPR2017) Best Paper
Award
In 2016, I was elected as
the IAPR Fellow by the International Association for Pattern Recognition
In 2015, the co-authored paper
“Local Feature embedding for weakly supervised image classsification” won ICIP
2015 “Top 10%” Paper Award
In 2014, I was elected as 2013/2014 Chang-Jiang Professor by Chinese
Ministry of Education
In 2013, the co-authored paper “Nuclear Norm Based 2DPCA” won the 2013 IAPR
Asian Conference on Pattern Recognition (ACPR2013) Best Student Paper Award
In 2010, I won SCOPUS Young Researcher Award of
Information Science of China
In 2009, the co-fulfilled
research project “Theory and algorithms for Feature Extraction”
was granted the Second Prize of the National Science Award
In 2009, I won Youth Science and Technology Award of
China
In 2008, the co-fulfilled
research project “Feature Extraction: theory, algorithms and applications” was granted the First Prize of Progress in Science and Technology of Jiangsu
Province
In 2004, my doctoral dissertation was nominated for “National Excellent Doctoral Dissertation of China”
In 2004, my doctoral dissertation
“Linear Projection Analysis: Theory, Algorithms, and Applications in Feature Extraction” was granted the “Excellent Doctoral Dissertation
Award” by the Graduate School of Nanjing
University of Science and Technology
Citations
My papers have
received more than 5000 citations in
the Web of Science, and more than 16000 citations by Google Scholar. Google Scholar
H-Index is 53.
Publications
Selected Recent
International Conference Papers
1. Xiang Li, Xiaolin Hu, Wenhai Wang, Jian Yang, Selective Kernel Networks,
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
(CVPR 2019).
2. Xiang Li, Shuo Chen, Xiaolin Hu, Jian
Yang, Understanding the Disharmony between Dropout and Batch Normalization
by Variance Shift, IEEE Computer Society Conference on Computer Vision and
Pattern Recognition (CVPR 2019).
3. Zhenyu Zhang, Zhen Cui, Chunyan Xu,
Yan Yan, Nicu Sebe, Jian Yang,
Pattern-Affinitive Propagation across Depth, Surface Normal and Semantic
Segmentation, IEEE Computer Society Conference
on Computer Vision and Pattern Recognition (CVPR 2019).
4. Jian Li, Yabiao
Wang, Changan Wang, Ying Tai, Jianjun Qian, Jian Yang, Chengjie
Wang, Jilin Li, Feiyue Huang, DSFD: Dual Shot Face
Detector, IEEE Computer Society Conference on Computer Vision and Pattern
Recognition (CVPR 2019).
5. Shuo Gu, Yigong
Zhang, Jinhui Tang, Jian Yang, Hui Kong, Road Detection through CRF based
LiDAR-Camera Fusion, 2019 International Conference on Robotics and Automation
(ICRA 2019).
6. Yigong Zhang, Yicheng
Gao, Shuo Gu, Yubin Guo, Minghao
Liu, Zezhou Sun, Zhixing
Hou, Hang Yang, Ying Wang, Jean Ponce, Jian
Yang, Hui Kong, DIY your own hybrid thermal/EO camera for autonomous
vehicle, 2019 International Conference on Robotics and Automation (ICRA 2019).
7. Shuo Chen, Chen Gong, Jian Yang, Ying Tai, Le Hui, Jun Li, Data-Adaptive
Metric Learning with Scale Alignment, AAAI 2019.
8. Le Hui, Xiang Li, Chen Gong, Jian Yang, Inter-Class Angular Loss for Convolutional Neural Networks, AAAI 2019.
9. Jiatao Jiang, Zhen Cui, Chunyan Xu, Jian Yang, Gaussian-Induced Convolution for Graphs, AAAI 2019.
10. Zhen Cui, Chunyan Xu, Wenming Zheng, and Jian
Yang, Context-Dependent Diffusion Network for Visual Relationship
Detection. In 2018 ACM International Conference on Multimedia (MM’ 18), October
22-26, 2018, Seoul, Republic of Korea.
11.
Zhenyu Zhang, Zhen Cui, Zequn
Jie, Xiang Li, Chunyan Xu, Jian Yang, Joint Task-Recursive Learning for Semantic Segmentation
and Depth Estimation, European Conference on Computer Vision (ECCV), September 2018, Munich, Germany.
12.
Di Chen, Shanshan
Zhang, Wanli Ouyang, Jian Yang, Ying Tai, Model Person Search via A Mask-guided
Two-stream CNN, European Conference on
Computer Vision (ECCV), September 2018, Munich, Germany.
13.
WenHai Wang, Xiang Li,
Tong Lu, Jian Yang, Mixed Link Networks: A Bridge
between ResNet and DenseNet,
the 27th International Joint Conference
on Artificial Intelligence (IJCAI), Stockholm, Sweden July 13-19, 2018.
14.
Shuo Chen, Chen Gong,
Jian Yang, Adversarial Metric
Learning, the 27th International Joint
Conference on Artificial Intelligence (IJCAI), Stockholm, Sweden July
13-19, 2018.
15.
Chen Gong, Xiaojun
Chang, Meng Fang, Jian Yang, Teaching
Semi-Supervised Classifier via Generalized Distillation, the 27th International Joint Conference on Artificial Intelligence
(IJCAI), Stockholm, Sweden July 13-19, 2018.
16.
Hong Shi, Shaojun Pan, Jian
Yang, Chen Gong, Positive and Unlabeled Learning via Loss Decomposition and
Centroid Estimation, the 27th
International Joint Conference on Artificial Intelligence (IJCAI),
Stockholm, Sweden July 13-19, 2018.
17.
Shanshan Zhang, Jian Yang, Bernt Schiele, Occluded Pedestrian Detection through Guided
Attention in CNNs, IEEE
International Conference on Computer Vision and Pattern Recognition (CVPR
2018).
18.
Jifeng Wang, Xiang Li, Jian Yang, Stacked Conditional
Generative Adversarial Networks for Jointly Learning Shadow Detection and
Shadow Removal, IEEE International
Conference on Computer Vision and Pattern Recognition (CVPR
2018).
19.
Yu Chen, Ying Tai,
Xiaoming Liu, Chunhua Shen, Jian Yang,
FSRNet: End-to-End Learning Face Super-Resolution
with Facial Priors, IEEE
International Conference on Computer Vision and Pattern Recognition (CVPR
2018).
20.
Yigong Zhang, Jian Yang, Jean Ponce, Hui Kong, Dijkstra model for stereo-vision based road
detection: A non-parametric method, 2018 IEEE International Conference on
Robotics and Automation (ICRA 2018), Australia. (CCF B)
21.
Chaolong Li, Zhen Cui, Wenming Zheng, Chunyan Xu, Jian
Yang, Spatio-Temporal Graph
Convolution for Skeleton Based Action Recognition, AAAI 2018.
22.
Chen Gong, Hengmin
Zhang, Jian Yang, and Dacheng Tao,
Learning with Inadequate and Incorrect Supervision, International Conference on
Data Mining (ICDM 2017), (CCF B)
23.
Chen Xiaobo,
Han Zhang, Yu Zhang, Jian Yang and Dinggang Shen, Learning Pairwise Similarity Guided Sparse
Functional Connectivity Network for MCI Classification, The 4th Conference on
Pattern Recognition (ACPR 2017), Nanjing. [Best paper]
24.
Ying Tai, Jian Yang and Xiaoming Liu, Memnet: A
persistent memory network for image restoration, International
Conference on Computer Vision (ICCV 2017).
25.
Yu Chen, Chunhua Shen, Xiu-Shen Wei, Lingqiao Liu, Jian
Yang, Adversarial PoseNet: A Structure-aware
Convolutional Network for Human Pose Estimation, International Conference on
Computer Vision (ICCV 2017).
26.
Bike Chen, Chen Gong, Jian Yang, Importance-Aware Semantic Segmentation for Autonomous
Driving System, the 26th International Joint Conference on Artificial
Intelligence (IJCAI 2017), Melbourne, August 2017.
27.
Ying Tai, Jian Yang and Xiaoming Liu, Image Super-Resolution via Deep
Recursive Residual Network, IEEE
International Conference on Computer Vision and Pattern Recognition (CVPR
2017).
28.
Liang Chen, Jian Yang, Hui Kong, Lidar-histogram for fast road and obstacle
detection, IEEE International Conference
on Robotics and Automation (ICRA 2017), May 29 - June 3, 2017, Marina Bay
Sands Convention Centre, Singapore. (CCF B)
29.
Xiang Li, Tao Qin, Jian Yang, Tie-Yan Liu. LightRNN: Memory and Computation-efficient Recurrent Neural
Networks, Neural Information Processing
Systems 2016 (NIPS 2016),
December 5-10, 2016, Barcelona, Spain.
30.
Ying Tai, Jian Yang, Fanlong Zhang, Yigong Zhang, Lei Luo, Jianjun Qian, Structural
Orthogonal Procrustes Regression for Face Recognition with Pose Variations and
Misalignment. SIAM International Conference on Data Mining (SDM
2016): 693-701. (CCF B)
31.
Jun Li, Jian Yang, Sparse Deep Stacking Network for Image Classification, The Twenty-Ninth
AAAI Conference on Artificial Intelligence (AAAI-15), Jan. 25–29,
2015, Austin Texas, USA.
Selected International Journal Papers
1.
Xiangbo Shu, Jinhui Tang, Guojun Qi, Wei
Liu, Jian Yang, Hierarchical Long
Short-Term Concurrent Memory for Human Interaction Recognition, IEEE
Transactions on Pattern analysis and machine intelligence, minor revision
2.
Xiaolin Luo, Yong Xu, Jian Yang, Multi-resolution Dictionary
Learning for Face Recognition, Pattern Recognition, to appear
3.
Yang Wei, Chen Gong, Shuo Chen, Tongliang
Liu, Jian Yang, Dacheng Tao,
Harnessing Side Information for Classification under Label Noise, IEEE Trans. Neural Networks and Learning
Systems, to appear
4.
Yu Chen, Chunhua Shen, Xiu-Shen Wei, Lingqiao
Liu, Jian Yang, Adversarial Learning
of Structure-Aware Fully Convolutional Networks for Landmark Localization, IEEE
Transactions on Pattern analysis and machine intelligence, to appear
5.
Xiang Li, Jun Li, Xiaolin Hu, and Jian Yang, Line-CNN: End-to-End Traffic Line Detection With Line Proposal Unit, IEEE Trans. on Intelligent Transportation Systems, to appear
6.
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
Trans. Neural Networks and Learning Systems, to appear
7.
Shuo Chen, Jian Yang,
Yang Wei, Lei Luo, Chen Gong, Delta-norm based Robust Regression with
Applications to Image Analysis, IEEE
Transactions on Cybernetics, to appear
8.
Hengmin Zhang, Jianjun Qian, Junbin
Gao, Jian Yang, Chunyan Xu, Scalable
Proximal Jacobian Iteration Method with Global Convergence Analysis for
Nonconvex Unconstrained Composite Optimizations, IEEE Trans. Neural Networks and Learning Systems, to appear
9.
Lei Luo, Jian Yang, Yigong Zhang, Yong Xu, Nesting-structured Nuclear Norm
Minimization for Spatially Correlated Matrix Variate, Pattern Recognition, 2019,Volume
91, pp. 147-161.
10.
Hengmin Zhang, Jian
Yang, Fanhua Shang, Chen Gong, Zhenyu Zhang, LRR for Subspace Segmentation via Tractable Schatten-p Norm Minimization and Factorization, IEEE Transactions on
Cybernetics,
2019, 49(5), 1722-1734.
11.
Bike Chen, Chen Gong, Jian Yang,
Importance-Aware Semantic Segmentation for Autonomous Vehicles, IEEE
Trans. on Intelligent Transportation Systems, 2019, 20(1), 137-148.
12.
Wei
Zheng, Hui Yan, Jian Yang, Robust
Unsupervised Feature Selection by Nonnegative Sparse Subspace Learning, Neurocomputing,
to appear
13.
Tao Wang, Jian Yang, Zexuan Ji, and Quansen Sun, Probabilistic
Diffusion for Interactive Image Segmentation, IEEE Trans. Image Processing, to appear
14.
Niange Yu, Jianwei
Zhang, Xiaolin Hu, Jian Yang, Topic-Oriented Image Captioning Based on
Order-Embedding, IEEE Trans. Image Processing, to appear
15. Chen Gong, Jian Yang, Dacheng Tao, Multi-modal Curriculum Learning over Graphs, ACM Transactions on Intelligent
Systems and Technology, to appear
16. Chen Gong, Jie Yang, Jian Yang, Multi-Manifold Positive and
Unlabeled Learning for Visual Analysis, IEEE Transactions on Circuits and Systems for Video
Technology, to appear
17.
Chen Gong, Tongliang Liu, Jian Yang, Dacheng Tao, Large-Margin
Label-Calibrated Support Vector Machines for Positive and Unlabeled Learning, IEEE Trans. Neural Networks and Learning
Systems, to appear
18.
Lei Zhang, Shanshan Wang, Guangbin
Huang, Wangmeng Zuo, Jian Yang,
David Zhang, Manifold Criterion Guided Transfer Learning via Intermediate
Domain Generation, IEEE
Trans. Neural Networks and Learning Systems, to appear
19.
Shuo Gu, Yigong Zhang, Xia Yuan, Jian Yang, Tao Wu, and Hui Kong,
Histograms of the normalized inverse depth and linescanning
for urban road detection, IEEE
Transactions on Intelligent Transportation Systems, to appear
20.
Yingna Su, Yicheng
Gao, Yigong Zhang, Jose Alvarez, Jian Yang, Hui Kong, An illumination-invariant nonparametric model
for urban road detection, IEEE
Transactions on Intelligent Vehicles, 2019, 4(1), 14-23.
21.
Na Han, Jigang Wu, Xiaozhao
Fang, Wai Keung Wong, Yong Xu, Jian Yang,
Xuelong Li, Double Relaxed Regression for Image Classification, IEEE Transactions on
Circuits and Systems for Video Technology, to appear
22.
Jie Xu, Lin Zhao, Shanshan Zhang, Chen Gong, Jian Yang, Multi-Task
Learning for Object Keypoints Detection and
Classification, Pattern
Recognition Letters, to appear
23.
Qing Liu, Davoine Franck, Jian Yang, Ying Cui, Zhong Jin, Fei Han, A Fast and Accurate Matrix
Completion Method based on QR Decomposition and L(2,1)
Norm Minimization, IEEE
Trans. Neural Networks and Learning Systems, 2019, 30(3), 803-817.
24.
Yang Wei, Jian Yang,
Chen Gong, Shuo Chen, Jianjun Qian, Obstacle Detection by Fusing
Point Clouds and Monocular Image, Neural Processing Letters, to appear
25.
Xiaozhao Fang, Na Han, Yong Xu, Jian Yang, David Zhang, Xuelong Li,
Approximate Low-Rank Projection Learning for Feature Extraction, IEEE Trans. Neural Networks and Learning
Systems, to appear
26.
Chunyan Xu, Jian Yang, Hanjiang Lai, Junbin Gao, Linlin Shem,
Shuicheng Yan, UP-CNN: Un-pooling augmented
convolutional neural network, Pattern
Recognition Letters, to appear
27.
Chunyan Xu, Jian Yang, Junbin
Gao, Coupled-learning convolutional neural networks for object recognition, Multimedia Tools and Applications, to appear
28.
Zhen
Cui, Youyi Cai, Wenming
Zheng, Chunyan Xu, Jian Yang,
Spectral filter tracking, IEEE Trans. Image Processing, 2019, 27(8), 3691-3702.
29.
Chen
Gong, Dacheng Tao, Xiaojun Chang, and Jian
Yang, Ensemble Teaching For Hybrid Label
Propagation, IEEE
Transactions on Cybernetics, 2019,
49(2), 388-402.
30.
Jinhui Tang,
Jie Lin, Zechao Li, Jian Yang, Discriminative Deep Quantization Hashing for Face Image
Retrieval, IEEE Trans. Neural Networks
and Learning Systems, 2018, 28 (5)，2479-2489.
31.
Wei
Zheng, Chunyan Xu, Jian Yang, Junbin Gao, Fa Zhu, Low-Rank Structure Preserving for
Unsupervised Feature Selection, Neurocomputing, 2018, vol. 314,
360-370.
32.
Lei
Luo, Jian Yang, Bob Zhang, Jielin Zhang, Heng Huang, Nonparametric Bayesian Correlated
Group Regression with Applications to Image Classification, IEEE Trans. Neural Networks and Learning Systems, 2018,
29(11), 5330-5344.
33.
Fa Zhu, Junbin Gao, Chunyan Xu, Jian Yang, Dacheng Tao, On Selecting Effective
Patterns for Fast Support Vector Regression Training, IEEE Trans. Neural Networks and Learning
Systems, 2018, 29(8), 3610-3622.
34.
Lei
Luo, Qinghua Tu, Jian
Yang, An Adaptive Line Search Scheme for Approximated Nuclear Norm Based
Matrix Regression, Neurocomputing, 2018, vol. 289, 23-31.
35.
Di Chen,
Chunyan Xu, Jian Yang, Jianjun Qian,
Yuhui Zheng, Linlin Shen,
Joint Bayesian guided metric learning for end-to-end face verification, Neurocomputing, 2018, 275, 31 Pages
560-567.
36. Zhenyu Zhang, Chunyan Xu, Jian Yang, Ying Tai, Liang Chen, Deep
Hierarchical Guidance and Regularization Learning for End-to-end Depth
Estimation, Pattern Recognition, 2018, 83, 430-442.
37.
Zhenyu Zhang, Chunyan Xu, Jian Yang,
Junbin Gao, Zhen Cui, Progressive Hard-mining Network
for Monocular Depth Estimation, IEEE Trans. Image Processing, 2018, 27(8), 3691-3702.
38.
Yigong Zhang, Yingna Su, Jian Yang, Jean Ponce and Hui Kong, When Dijkstra meets vanishing
point: a stereo vision approach for road detection, IEEE Trans. Image Processing, 2018, 27(5), 2176–2188.
39.
Yingna Su, Yigong Zhang, Tao Lu, Jian Yang, Hui Kong, Vanishing Point
Constrained Lane Detection With a Stereo Camera, IEEE
Transactions on Intelligent Transportation Systems, 2018, 19(8),
2739-2744.
40.
Shuo Gu, Tao
Lu, Yigong Zhang; Jose Alvarez, Jian Yang, Hui Kong, 3D LiDAR + Monocular
Camera: an Inverse-Depth Induced Fusion Framework for
Urban Road Detection, IEEE Transactions on Intelligent Vehicles,
2018, 3(3), 351-360.
41. Zheng Zhang, Yong Xu, Ling
Shao, Jian Yang, Discriminative
Block-Diagonal Representation Learning for Image Recognition, IEEE Trans. Neural Networks and Learning Systems, 2018,
29(7), 3111-3125.
42. Wei Luo, Jun Li, Jian
Yang, and Wei Xu, Convolutional Sparse Autoencoders for Image
Classification, IEEE
Trans. Neural Networks and Learning Systems, 2018, 29(7), 3289-3294.
43.
Chen Gong, Tongliang Liu, Yuanyan Tang, Jian
Yang, Dacheng Tao, Jie Yang, A Regularization Approach for Instance-based Superset Label
Learning, IEEE
Transactions on Cybernetics, 2018,
48(3), 967-978.
44.
Tao Wang, Jian
Yang, Quansen Sun, Zexuan Ji, Peng Fu, Qi Ge, Global graph diffusion for
interactive object extraction, Information Sciences, 2018, Vol.
460–461, Pages 103-114.
45.
Guojun Lin, Meng Yang, Jian Yang, Linlin Shen,
Weicheng Xie, Robust, Discriminative and Comprehensive Dictionary Learning for
Face Recognition, Pattern
Recognition, 2018, Vol. 81, 341-356.
46.
Kaihua Zhang, Qingshan Liu, Jian
Yang, Ming-Hsuan Yang, Visual Tracking via Boolean Map
Representations, Pattern Recognition, 2018,
Vol. 81, 147-160.
47.
Junxia Li, Jian Yang, Chen
Gong, Qingshan Liu, Saliency fusion via sparse and
double low rank decomposition, Pattern
Recognition Letters, 2018, 107,
114-122.
48.
Chunyan
Xu, Jian Yang, Junbin
Gao, Hanjiang Lai, Shuicheng Yan, SRNN: Self-regularized neural
network, Neurocomputing, 2018, Vol. 273, 260-270
49. Qiaolin Ye, Jian Yang, Fan Liu,
Chunxia Zhao, Ning Ye, Tongming Yin, L1-norm
Distance Linear Discriminant Analysis Based on an Effective Iterative Algorithm,
IEEE
Transactions on Circuits and Systems for Video Technology, 2018,28(1): 114-129.
50. Cunlai Pu, Wei Cui, Jiexin
Wu, Jian Yang, Bufferless
Transmission in Complex Networks, IEEE Transactions on Circuits and Systems II:
Express Briefs, 2018, 65(7), 893-897.
51.
Jun
Li, Heyou Chang, Jian
Yang, Wei Luo, Yun Fu, Visual Representation and Classification by Learning
Group Sparse Deep Stacking Network, IEEE Trans. Image Processing, 2018, 27(1), Pages: 464-476
52.
Lei Zhang, Jian Yang, and David Zhang, Domain
Class Consistency based Transfer Learning for Image Classification Across
Domains, Information Sciences, 2017, 418–419 (12), Pages 242-257
53.
Hui Kong, Jian
Yang, and Zhihua Chen, Accurate and Efficient Inspection of Speckle and Scratch
Defects on Surfaces of Planar Products, IEEE Transactions on Industrial Informatics,
2017, 13(4), Pages: 1855-1865.
54.
Guangwei Gao, Jian Yang,
Xiao-Yuan Jing, Fumin Shen, Wankou Yang, Dong Yue, Learning Robust and
Discriminative Low-rank Representations for Face Recognition with Occlusion, Pattern
Recognition, 66(6) 2017, Pages 129-143
55. Yong Xu, Zuofeng Zhong, Jian Yang, Jia You, David Zhang, A New Discriminative Sparse
Representation Method for Robust Face Recognition via L2 Regularization, IEEE Trans. Neural Networks and Learning
Systems, 2017,28 (10),
2233-2242.
56.
Zhihui Lai, Yong Xu, Jian
Yang, Linlin Shen, David Zhang, Rotational invariant
dimensionality reduction algorithms, IEEE Trans.
Cybernetics, 2017，47(11),
3733 - 3746
57.
Bo Huang, MengChu Zhou, PeiYun
Zhang, Jian Yang, Speedup
Techniques for Multiobjective Integer Programs in Designing Optimal and
Structurally Simple Supervisors of AMS, IEEE
Transactions on Systems, Man, and Cybernetics: Systems, 2018,48(1),77-88.
58.
Tiancheng Sun, Yulong Wang, Jian Yang, Xiaolin Hu, “Convolutional neural networks with two
pathways for image style recognition,” IEEE Transactions on Image Processing, vol. 26, no. 9, pp.
4102-4113, 2017.
59.
Meng Yang, Heyou Chang, Weixin
Luo, Jian Yang, Fisher
discrimination dictionary pair learning for image classification, Neurocomputing, 2017, 269:
13-20.
60.
Guangwei Gao, Jian Yang, Zhihui Lai, et al. Nuclear Norm
Regularized Coding with Local Position-Patch and Nonlocal Similarity for Face
Hallucination, Digital Signal Processing, 2017, 64, 107-120.
61. Zhengming Li, Zhihui Lai, Yong
Xu, Jian Yang, David Zhang, A
Locality-Constrained and Label Embedding Dictionary Learning Algorithm for
Image Classification, IEEE
Trans. Neural Networks and Learning Systems, 2017, 28(2), 278 - 293
62.
Shuo Chen, Jian Yang, Lei Luo, Yang Wei, Kaihua
Zhang, Ying Tai, Low-Rank Latent Pattern Approximation with
Applications to Robust Image Classification, IEEE Trans. Image Processing, 2017,
26(11) : 5519-5530.
63.
Hengmin Zhang, Jian Yang,
Jianchun Xie, Jianjun Qian, Bob Zhang, Weighted Sparse Coding Regularized
Nonconvex Matrix Regression for Robust Face Recognition, Information Sciences, 2017, Vol. 394–395(7),
Pages 1-17.
64.
Ying Tai, Jian Yang,
Kernel Orthogonal Procrustes Regression for Face Recognition across Pose, Neurocomputing, 239
(5) 2017, Pages 122-129
65.
Hengmin Zhang, Jian Yang,
Nonconvex Relaxation based Matrix Regression for Face Recognition with Structural
Noise and Mixed Noise,
Neurocomputing, 2017, 269(12), Pages 188-198.
66.
Fa Zhu, Jian Yang, Junbin Gao, Chunyan Xu,
Sheng Xu, Cong Gao, Finding the Samples near the Decision Plane for Support
Vector Learning, Information Sciences, Vol. 382–383, March 2017, Pages 292-307
67.
Fa Zhu, Jian Yang, Sheng Xu, Cong Gao, Ning Ye, Tongming Yin, Incorporating Neighbors' Distribution
Knowledge into Support Vector Machines, Soft Computing, 2017,
21(21), 6407-6420
68.
Jun
Li, Tong Zhang, Wei Luo, Jian Yang, Xiaotong Yuan, Jian Zhang, Sparseness Analysis in
the Pretraining of Deep Neural Networks, IEEE Trans. Neural Networks and
Learning Systems, 2017, 28 (6), Pages:
1425-1438.
69. Lei Luo, Jian Yang, Jianjun Qian, and Ying Tai, Gui-Fu Lu, Robust Image Regression Based on the Extended Matrix Variate Power Exponential Distribution of Dependent Noise, IEEE Trans. Neural Networks and Learning Systems, 2017, 28 (9), 2168-2182.
70.
Yu Chen, Jian Yang,
Jianjun Qian, Recurrent neural network for facial landmark detection, Neurocomputing, 2017, 219:
26-38.
71.
Jianchun Xie, Jian Yang, Jianjun Qian, Lei Luo, Bi-weighted Robust Matrix Regression for Face Recognition,Neurocomputing, 2017, Vol. 237, 375-387.
72.
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, 2017, 26(5),
2286-2295.
73.
Lingzheng Dai,
Jian Yang, Liang Chen, Junxia Li, Category-specific
Object Segmentation via Unsupervised Discriminant Shape, Pattern Recognition, 2017, 64: 202-214.
74.
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
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75.
Fa Zhu, Jian Yang, Junbin Gao, Chunyan Xu, Extended Nearest Neighbor Chain Induced Instance-Weights
for SVMs, Pattern
Recognition, 2016, 60: 863-874.
76.
Lei Luo, Liang
Chen, Jian Yang, 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.
77.
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.
78.
Chang
Heyou, Lei Luo, Jian Yang, Meng
Yang, Schatten p-norm based Principal Component Analysis, Neurocomputing, 2016, 207:
754-762.
79.
Fa
Zhu, Jian Yang, Sheng Xu, Cong Gao, Ning Ye, Tongming Yin, Relative Density Degree Induced Boundary
Detection for One-class SVM, Soft
Computing, 2016, 20: 4473-4485
80.
Guangwei Gao, Jian Yang, Xiaoyuan
Jin, et al. Robust Face Recognition via Multi-scale
Patch-based Matrix Regression, PLOS ONE, 2016, 11(8): e0159945.
81.
Jianjun Qian, Jian Yang, et al. Exploring Deep Gradient Information for Biometric
Image Feature Representation, Neurocomputing, 2016, 213:162-171.
82.
Junxia Li, Lei
Luo, Fanlong Zhang, Jian Yang, Double
Low Rank Matrix Recovery for Saliency Fusion, IEEE Trans. on Image Processing, 2016,
25(9): 4421-4432.
83.
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.
84.
Fa Zhu, Jian Yang, Cong Gao, Sheng Xu, Ning Ye, Tongming
Yin, A weighted one-class support vector machine, Neurocomputing, 2016,
189: 1-10.
85.
Chang Heyou, Meng Yang, Jian Yang, Learning a Structure Adaptive
Dictionary for Sparse Representation based Classification, Neurocomputing, 2016,
190: 124-131.
86.
Ying Tai, Jian Yang, Lei Luo and Jianjun Qian, Learning Discriminative Singular Value
Decomposition Representation for Face Recognition, Pattern
Recognition, 2016, vol. 50, 1–16.
87.
Jun Li, Yu
Kong, Handong Zhao, Jian Yang and Yun Fu, Learning A Fast
Low-rank Projection for Image Classification, IEEE Trans. on Image
Processing, 2016, 25(10): 4803-4814.
88.
Zhihui
Lai, W. K. Wong, Yong Xu, Jian Yang, David Zhang, Approximate orthogonal sparse embedding for dimensionality
reduction,
IEEE Trans. Neural Networks
and Learning Systems, 2016, 27(4):723-35.
89.
Guangsheng
Xia, Hui Yan, Jian Yang, Sparse preserving feature weights learning, Neurocomputing, 2016, 185: 45-52.
90. Hui Yan, Jian Yang, Jing-yu
Yang, Robust Joint Feature Weights Learning Framework, IEEE Trans. Knowledge
and Data Engineering, 2016, 28(5): 1327-1339.
91.
Hui
Yan, Jian Yang, Sparse discriminative feature weights learning, Neurocomputing, 2016, 173(3), 1936–1942.
92.
Yong
Xu, Zheng Zhang, Guangming Lu, Jian Yang, Approximately symmetrical face
images for image preprocessing in face recognition and sparse representation
based classification, Pattern Recognition, 54: 68-82 (2016).
93.
Qiaolin Ye, Jian Yang, Tongming Yin and Zhao Zhang,
Can the Virtual Labels Obtained by Traditional LP Approaches be Well Encoded in
WLR?,
IEEE Trans. Neural Networks and Learning Systems, 2016, 27(7):1591-1598.
94.
Zheng
Zhang, Yong Xu, Jian Yang, Xuelong
Li, David Zhang, A Survey of Sparse Representation: Algorithms and
Applications. IEEE Access 3: 490-530 (2015).
95.
Guangwei
Gao, Jian Yang, Songsong Wu, Xiaoyuan Jing, Dong Yue, Bayesian sample steered
discriminative regression for biometric image classification, Applied
Soft Computing, 2015, vol. 37, 48-59.
96.
Jinhui Chen, Jian Yang, Lei Luo, Jianjun Qian, Wei
Xu, Matrix Variate Distribution Induced Sparse Representation
for Robust Image Classification, IEEE
Trans. Neural Networks and Learning Systems, 2015, 26(10): 2291-2300.
97.
Fanlong Zhang, Jian Yang, Jianjun Qian, Yong Xu, Nuclear Norm Based 2DPCA for Extracting Features from
Images, IEEE Trans. Neural Networks and Learning Systems, 2015, 26(10):
2247-2260.
98.
Jielin
Jiang, Jian Yang, Yan Cui, Waikeung Wong, Zhihui Lai, Sparse Nonlocal Priors based
Two-Phase Approach for Mixed Noise Removal, Signal Processing, 2015, vol.116,
101-111.
99.
Wei Luo, Jian Yang, Wei Xu and Jun Li,
Higher-level Feature Combination via Multiple Kernel Learning for Image
Classification, Neurocomputing, 2015, Vol. 167,209-217.
100. Lei Luo, Jian Yang, Jianjun Qian, Ying Tai, Nuclear-L1
Norm Joint Regression for Face Reconstruction and Recognition with Mixed Noise,
Pattern Recognition, 2015,48(12), 3811–3824.
101. Jianjun Qian, Lei
Luo, Jian Yang, Fanglong Zhang,
Zhouchen Lin, Robust Nuclear Norm Regularized
Regression for Face Recognition with Occlusion, Pattern
Recognition, 2015, 48(10), 3145-3159.
102. Lingzheng Dai, Jundi Ding, Jian Yang,
Inhomogeneity-Embedded Active Contour for Natural Image, Pattern
Recognition, 2015,
48(8), 2513-2529.
103. Hui Yan, Jian Yang, Locality preserving score for joint feature weights
learning. Neural Networks, 69, 2015, pp.126-134.
104. Hui Yan, Jian Yang, Sparse Discriminative
Feature Selection, Pattern Recognition, 2015, 48(5), 1827-1835.
105. Fanlong Zhang, Jian
Yang,
Ying Tai, Jinhui Tang, Double Nuclear Norm Based Matrix Decomposition For Occluded Image Recovery and Background Modeling, IEEE
Trans. on Image Processing, 2015, 24(6), 1596-1566.
106. Wei Luo, Jian Yang,
Wei Xu and Tao Fu, Locality-constrained Sparse Auto-Encoder for Image
Classification, IEEE
Signal Processing Letters, 2015, 22(8): 1070-1073.
107. Jielin Jiang, Jian Yang, Yan Cui, Lei Luo, Mixed
Noise Removal by Weighted Low Rank Model, Neurocomputing, Vol. 151, Part 2,.
2015, pp.817-826
108. Jian Zhang, Jian Yang, Jianjun Qian, Nearest
Orthogonal Matrix Representation for Face Recognition, Neurocomputing, Vol.151, Part 1, 2015, pp.471-480.
109. Cunlai Pu, Siyuan Li, Jian Yang, Epidemic spreading driven by
biased random walks, Physica A: Statistical Mechanics and its Applications,
Volume 432, 2015, 230-239.
110. Cunlai Pu, Siyuan Li,
Andrew Michaelson, Jian Yang,
Iterative path attacks on networks, Physics Letters A, Volume 379, Issues
28–29, 1633-1638
111. Jianjun Qian, Jian Yang, Yong Xu, General Regression and Representation Model for
Classification, PLOS
ONE, 12/2014; 9(12): e115214.
112. Xiaobo Chen, Jian Yang, Long Chen, An improved
robust and sparse twin support vector regression via linear programming, Soft Computing, 2014, 18(12),
2335-2348.
113. Zhihui Lai, Yong Xu, Qingcai
Chen, Jian Yang, David Zhang,
Multilinear Sparse Principal Component Analysis, IEEE Trans. Neural Networks and Learning Systems, 2014, 25(10), 1942-1950.
114. Yong Xu, Xiaozhao
Fang, Xuelong Li, Jian Yang, et al. Data
Uncertainty in Face Recognition, IEEE Trans. Cybernetics, 2014, 44(10), 1950-1961.
115. Yong Xu, Xuelong Li, Jian Yang, Zhihui Lai and David Zhang,
Integrating Conventional and Inverse Representation for Face Recognition, IEEE
Trans. Cybernetics,, 2014, 44(10), 1938-1946.
116. Zizhu Fan, Yong Xu,
Wangmeng Zuo, Jian Yang, et al.
Modified Principal Component Analysis: An Integration of Multiple Similarity
Subspace Models, IEEE
Trans. Neural Networks and Learning Systems, 2014, 25(8),1538-1552.
117. Jinhui Chen, Jian Yang, Robust Subspace Segmentation
via Low-Rank Representation, IEEE Trans. Cybernetics, 2014, 44(8):1432-1445.
118. Jielin Jiang, Lei
Zhang, Jian Yang, Mixed Noise
Removal by Weighted Encoding with Sparse Nonlocal Regularization, IEEE
Trans. on Image Processing, 2014，23(6), pp. 2651-2662
119. Guangwei Gao, Jian Yang, Jianjun Qian, Lin Zhang, Integration
of multiple orientation and texture information for finger-knuckle-print
verification, Neurocomputing, 135 (2014) 180-191.
120. Guangwei Gao, Jian Yang, A Novel Sparse Representation based Framework for Face
Image Super-Resolution, Neurocomputing, 134 (2014) 92-99.
121. Jianjun Qian, Jian Yang, Histogram of Visual Words based on Locally Adaptive
Regression Kernels Descriptors for Image Feature Extraction, Neurocomputing, 129 (2014) 516 –
527.
122. Fa
Zhu, Jian Yang, Ning Ye, Cong Gao,
Guobao Li, Tongmin Yin, Neighbors' distribution property and sample reduction
for support vector machines, Applied Soft
Computing, 2014, 16, 201-209
123. Yong
Xu, Xuelong Li, Jian Yang, David
Zhang, Integrate the original face image and its mirror image for face
recognition. Neurocomputing,
131 (2014) 191-199
124. Jun Li, Jian Yang, Continuous attractors of higher-order recurrent neural
networks with infinite neurons, Neurocomputing, 2014, vol. 131,
388–396.
125. Jian Zhang, Jian Yang, Linear Reconstruction
Measure Steered Nearest Neighbor Classification Framework,
Pattern Recognition, 47 (2014) 1709–1720.
126. Su-Jing Wang,
Shuicheng Yan, Jian Yang, Chun-Guang
Zhou, A General Exponential Framework for Dimensionality Reduction, IEEE
Trans. on Image Processing, 2014, 23(2), 920-930.
127. Jie Xu, Jian Yang, Median-mean Line based Discriminant Analysis, Neurocomputing, 2014, vol. 123, 233-246.
128. Hui Yan, Jian
Yang, Joint
Laplacian feature weights learning. Pattern Recognition, 2014, 47(3), 1425-1432.
129. Yuting Tao, Jian
Yang, Enhanced iterative
projection for subclass discriminant analysis under EM alike framework, Pattern
Recognition, 2014, 47(3), 1113-1125.
130. Shangbing Gao, Jian Yang, Yunyang Yan. A novel
multiphase active contour model for inhomogeneous image segmentation. Multimedia
Tools and Applications, 2014, 72(3), 2321-2337.
131. Cun-lai Pu, Wei Cui, Jian Yang, Tunable path centrality:
Quantifying the importance of paths in networks, Physica A, 405: 267-277, 2014.
132. Xiaobo Chen, Jian Yang, Qirong Mao, Fei Han,
Regularized least squares Fisher linear discriminant with applications to image
recognition, Neurocomputing, 2013, vol. 122,
521-534.
133. Shangbin Gao, Jian Yang, Saliency based localizing active contour for Automatic
Natural Object Segmentation, IET Image Processing, 2013, 7(9), pp.787 – 794.
134. Guangwei Gao, Lei Zhang, Jian Yang, Lin Zhang, David Zhang.
Reconstruction based Finger-Knuckle-Print Verification with Score Level
Adaptive Binary Fusion, IEEE Trans. on Image Processing, 2013, 22(12), 5050-5062.
135. Zhihui Lai, Yong Xu, Jian Yang and David Zhang, Sparse Tensor Discriminant Analysis, IEEE
Trans. on Image Processing, 2013, 22(10), 3904-3915.
136. Jianjun Qian, Jian Yang, Yong Xu, Local Structure-based Image Decomposition for
Feature Extraction with Applications to Face Recognition,
IEEE Trans. on Image Processing, 2013, 22(9), 3591-3603
137. Jianjun Qian, Jian Yang, Guangwei Gao, Discriminative Histograms of Local
Dominant Orientation (D-HLDO) for Biometric Image Feature Extraction,
Pattern Recognition, 2013, 46(10),2724-2739
138. Yan
Cui, Chunhou Zheng, Jian Yang, Sparse
Maximum Margin Discriminant Analysis for Feature Extraction and Gene Selection
on Gene Expression Data, Computers in Biology and Medicine, 43(7) (2013), pp. 933-941
139. Jian
Yang, Delin Chu, Lei
Zhang, Yong Xu, Jingyu Yang, Sparse Representation Classifier Steered
Discriminative Projection with Applications to Face Recognition, IEEE
Transactions on Neural Networks and Learning Systems,24(7), 2013, 1023-1035.
140. Jie
Xu, Jian Yang, K-local Hyperplane Distance Nearest
Neighbor Classifier Oriented Local Discriminant Analysis, Information Sciences, 2013, 232,
11-26.
141. Nan Zhang, Jian Yang, Low-rank Representation based Discriminative Projection
for Robust Feature Extraction, Neurocomputing, 2013, 111, 13-20.
142. Meng Yang, Lei Zhang, Jian Yang and David Zhang, Regularized Robust Coding for Face
Recognition, IEEE Trans. on Image Processing, 2013, 22(5), 1753-1766.
143. Yan Cui, Chunhou Zheng, Jian Yang, Identifying Subspace Gene
Clusters from Microarray Data Using Low-Rank Representation, PLOS ONE, 2013, 8(3): e59377.
144. X.
Chen, J. Yang, David Zhang, Complete Large Margin Linear Discriminant
Analysis Using Mathematical Programming Approach, Pattern
Recognition, 2013,
46(6): 1579-1594
145. Yan Cui, Chunhou Zheng, Jian Yang, Dimensionality reduction for
microarray data using local mean based discriminant
analysis, Biotechnology Letters, 2013,
35(3): 331-336
146. Jie
Xu, Jian Yang, A nonnegative sparse representation based
fuzzy similar neighbor classifier, Neurocomputing, 2013, 99(1), 76-86.
147. Zhenghong
Gu, Jian Yang, Sparse margin-based
discriminant analysis for feature extraction. Neural Computing and Applications, 2013, 23(6): 1523-1529.
148. Cun-Lai
Pu, Jian Yang, et al, Robustness
analysis of static routing on networks, Physica A, 392(15):3293-3300, 2013.
149. Xiaobo
Chen, Jian Yang,
Qirong Mao, Regularized least squares fisher linear discriminant with
applications to image recognition, Neurocomputing,
2013, 122, 521-534
150. Dong-Jun Yu, Hong-Bin Shen, Xiao-Wei Wu, Jian Yang, et al. Enhancing Membrane
Protein Subcellular Localization Prediction by Parallel Fusion of Multi-View
Features, IEEE Transactions on Nanobioscience, 2012, 11(4), 375-385
151. Xiao-Yuan Jing, Sheng
Li, David Zhang, Jian Yang, and
Jing-Yu Yang, Supervised and Unsupervised Parallel Subspace Learning for
Large-scale Image Recognition, IEEE
Transactions on Circuits and Systems for Video Technology, 2012, 22(10): 1497-1511.
152. Shangbin Gao, Jian Yang, A Local Modified Chan-Vese
Model for Segmenting Inhomogeneous Multiphase Images, International Journal of Imaging
Systems and Technology, 2012, 22(2), 103-113.
153. X.
Chen, J. Yang, J. Liang. A Flexible
Support Vector Machine for Regression. Neural Computing and Applications,
2012, 21(8) 2005-2013.
154. Zhihui
Lai, Zhong Jin, Jian Yang, Mingming
Sun, Dynamic transition embedding for image feature extraction and recognition,
Neural
Computing and Applications, 2012, 21(8) 1905-1915.
155. Nan Zhang, Jian Yang, Jian-jun Qian, Component-based
Global k-NN Classifier for Small Sample Size Problems, Pattern
Recognition Letters,
2012,
33(13), 1689-1694
156. Zhihui Lai, W. K. Wong, Zhong Jin, Jian Yang, and Yong Xu, Sparse
Approximation to the Eigensubspace for Discrimination, IEEE Transactions on Neural
Networks and Learning Systems, 2012,
23(12), 1948 - 1960
157. Su-Jing Wang, Jian Yang, Ming-Fang Sun, Xu-Jun Peng,
Ming-Ming Sun, and Chun-Guang Zhou, Sparse Tensor Discriminant Color Space for
Face Verification，IEEE Transactions on Neural Networks and
Learning Systems, 2012, 23(6): 876-888
158. Jun Li, Jian Yang, Weigen Wu, Stability and periodicity of discrete
Hopfield neural networks with column arbitrary-magnitude-dominant weight
matrix, Neurocomputing, 82 (2012) pp. 52-61.
159. Jian Yang, Lei Zhang, Yong Xu, Jing-Yu Yang, Beyond Sparsity: the Role
of L-1-optimizer in Pattern Classification, Pattern
Recognition, 2012, 45(3), pp. 1104-1118.
160. Xiaobo Chen, Jian Yang, Jun Liang, Qiaolin Ye, Recursive Robust Least Squares
Support Vector Regression based on Maximum Correntropy
Criterion, Neurocomputing, 2012, 97: 63-73.
161. Xiaobo Chen, Jian Yang, Jun Liang, Qiaolin Ye, Smooth Twin
Support Vector Regression, Neural
Computing and Applications, 2012, 21(3) 505-513
162. Yong
Xu, Aini Zhong, Jian Yang, David
Zhang, Bimodal biometrics based on a representation and recognition
approach, Optical Engineering, 2011, 50(3), 037202.
163. Jie
Xu, Jian Yang, Mean representation
based classifier with its applications, Electronic
Letters, 2011, 47(18), 1024-1026.
164. Yong Xu, David Zhang, Jian Yang, Jing-Yu Yang, A two-phase test sample sparse
representation method for use with face recognition, IEEE Transactions on Circuits and
Systems for Video Technology, 2011, 21(9), 1255 –
1262.
165. Jian Yang, Lei Zhang, Jing-Yu Yang, David
Zhang, From Classifiers to
Discriminators: A Nearest Neighbor Rule Induced Discriminant Analysis, Pattern
Recognition, 2011, 44(7), 1387-1402
166. Su-Jing Wang, Jian Yang, Na Zhang, Chun-Guang Zhou, Tensor Discriminant Color Space for Face
Recognition, IEEE Transactions on Image Processing, 2011, vol. 20, no. 9,
pp. 2490-2501
167. Xiaobo
Chen, Jian
Yang, Qiaolin Ye, Jun Liang, Recursive Projection Twin Support
Vector Machine via Within-Class Variance Minimization, Pattern
Recognition, 2011,
44(10-11), 2643-2655
168. B. Peng, L. Zhang, D. Zhang and J. Yang, “Image Segmentation by
Iterated Region Merging with Localized Graph Cuts”, Pattern
Recognition, 2011,
44(10-11), 2527-2538.
169. Xiaobo
Chen, Jian
Yang, Optimal Locality
Regularized Least Squares Support Vector Machine via Alternating Optimization, Neural
Processing Letters, 2011,
vol. 33, no. 3, pp. 301-315
170. Jian Yang, Kernel
feature extraction methods observed from the viewpoint of generating-kernels, Frontiers
of Electrical and Electronic Engineering in China (Invited paper), 2011, 6(1), 43-55
171. Zhihui Lai, Minghua Wan, Zhong
Jin, Jian Yang, Sparse
two-dimensional local discriminant projections for feature extraction. Neurocomputing, 2011, 74(4): 629-637
172. Hui
Yan, Jian Yang, Jing-Yu Yang, Bimode
model for face recognition and face representation, Neurocomputing, 2011, 74(5), 741-748
173. Zuoyong Li, Jian Yang, Guanghai Liu, Yong
Cheng, Chuancai Liu, Unsupervised range-constrained
thresholding, Pattern Recognition Letters, 2011, 32(16), 392-402.
174. Zhenghong Gu, Jian Yang, Lei Zhang, Push-Pull marginal
discriminant analysis for feature extraction, Pattern Recognition Letters,
2010, 31(15), 2345-2352.
175. Yong Xu, Aini Zhong, Jian
Yang, David Zhang, LPP solution schemes for use with
face recognition, Pattern Recognition, 2010, 43(12), 4165-4176.
176. Ming-ming
Sun, Jian Yang, Chuancai Liu, and Jing-yu Yang, Similarity Preserving Principal Curve: an Optimal 1-D Feature Extractor for Data Representation, IEEE
Transactions on Neural Networks, 2010, 21(9),
1445-1456.
177. Ming-ming
Sun, Chuancai
Liu, Jian Yang, and Jing-yu Yang, A two-step framework for highly
nonlinear data unfolding, Neurocomputing, 2010, 73 (10-12), pp. 1801~1807.
178. Zhiming Liu, Jian Yang, Chengjun Liu, Extracting Multiple
Features in the CID Color Space for Face Recognition, IEEE
Transactions on Image Processing, 2010, vol. 19, no. 9, pp. 2502-2509.
179. Jian Yang, Chengjun
Liu, Jing-Yu
Yang, What kind of
color spaces is suitable for color face recognition? Neurocomputing, 2010,73(10-12), pp. 2140-2146
180. Yuting
Tao, Jian Yang, Quotient vs. Difference: Comparison between the two discriminant
criteria, Neurocomputing, 2010, 73 (10-12), pp. 1808-1817.
181. Mingming
Sun, Chuancai Liu, Jian Yang, Zhong
Jin, Jingyu Yang, A Two-Step Framework for Highly Nonlinear Data Unfolding, Neurocomputing,
2010, 73 (10-12), pp.1801-1807.
182. Jian Yang, Chengjun
Liu, Lei Zhang, Color Space Normalization: Enhancing the Discriminating Power
of Color Spaces for Face Recognition, Pattern Recognition, 2010, 43(4),
1454-1466.
183. Chengjun Liu, Jian Yang, ICA Color Space for Pattern Recognition, IEEE
Transactions on Neural Networks, 2009, 20(2), 248-257.
184. Jian
Yang, Chengjun Liu, Color Image
Discriminant Models and Algorithms for Face Recognition, IEEE Transactions on Neural
Networks, 2008, 19(12), 2088-2098.
185. Yong Xu, David Zhang, Jian Yang, Jing-Yu Yang: An approach
for directly extracting features from matrix data and its application in face
recognition. Neurocomputing, 2008, 71(10-12): 1857-1865.
186. Jian
Yang, Jing-yu Yang, David Zhang, Median Fisher discriminator: A robust
feature extraction method with applications to biometrics, Frontiers of Computer Science in
China, 2008, 2(3), 295-305.
187. Guiyu Feng, David Zhang, Jian Yang and Dewen Hu, A Theoretical
Framework for Matrix-based Feature Extraction Algorithms with its Application
to Image Recognition, International
Journal of Image and Graphics, 2008, 8(1): 1-23.
188. Jian Yang, David Zhang, Jing-yu
Yang, Ben Niu, Globally Maximizing, Locally Minimizing: Unsupervised
Discriminant Projection with Applications to Face and Palm Biometrics, IEEE
Transactions on Pattern analysis and machine intelligence, 2007,29(4),650-664.
189. Jian
Yang, Chengjun Liu, Horizontal
and Vertical 2DPCA-based Discriminant analysis for Face Verification on a
Large-scale Database, IEEE Transactions on Information Forensics
and Security, 2007,2(4),781-792.
190. Jian Yang, David Zhang, Jing-yu
Yang, Constructing PCA baseline algorithms to reevaluate ICA-based face-recognition
performance, IEEE
Trans. Systems, Man, and Cybernetics, Part B, 2007,
37 (4), pp. 1015-1021.
191. Ming-ming
Sun, Jian Yang, and Jing-yu Yang, Topology
Description for Data Distributions Using Topology Graph with Divide-and-Combine
Learning Strategy, IEEE Trans. Systems, Man, and
Cybernetics, Part B, 2006, 36(6), pp. 1296-1305
192. Wangmeng Zuo, David Zhang, Jian Yang, and Kuanquan Wang, BDPCA
plus LDA: a novel fast feature extraction technique for face recognition, IEEE
Trans. Systems, Man, and Cybernetics, Part B, 2006, 36 (4), 946-953
193. Jian Yang, David Zhang, Jing-yu
Yang, Locally Principal Component Learning for Face Representation and
Recognition, Neurocomputing, 2006, 69 (13-15), 1697-1701.
194. Yujie Zheng, Jing-yu Yang, Jian Yang, Xiaojun Wu, and Zhong
Jin, Nearest neighbour line nonparametric
discriminant analysis for feature extraction, IEE Electronic Letters 42 (12): 679-680, JUN 8, 2006.
195. Yujie Zheng, Jian Yang, Jing-yu Yang, and Xiaojun Wu, A reformative kernel Fisher discriminant algorithm and its application, Neurocomputing, 2006, 69 (13-15), 1806-1810.
196. Jian Yang, Xiumei Gao, David Zhang,
Jing-yu Yang, Kernel ICA: an Alternative Formulation and Its Application to Face
Recognition, Pattern Recognition,
2005, 38(10), 1784-1787.
197. Jian Yang, David Zhang, Yong Xu, and Jing-yu
Yang, Two-dimensional Discriminant Transform for Face Recognition, Pattern Recognition, 2005,
38(7), 1125-1129.
198. Jian Yang, Alejandro F. Frangi,
Jing-yu Yang, David Zhang, Jin Zhong, KPCA plus LDA: a Complete
Kernel Fisher Discriminant Framework for Feature Extraction and Recognition, IEEE
Transactions on Pattern analysis and machine intelligence, 2005, 27(2), 230-244.
199. Jian Yang, Zhong Jin,
Jing-yu Yang, David Zhang, Alejandro F. Frangi, Essence of Kernel Fisher Discriminant: KPCA plus LDA, Pattern Recognition, 2004,
37(10), 2097-2100.
200. Jian Yang, David Zhang, Alejandro
F. Frangi, Jing-yu Yang, Two-Dimensional PCA: a New Approach to Face
Representation and Recognition, IEEE Transactions on Pattern analysis and
machine intelligence, 2004, 26(1),
131-137.
201. Yong Xu, Jing-yu Yang, Jian
Yang, A Reformative Kernel Fisher Discriminant Analysis, Pattern Recognition, 2004, 37
(6), 1299-1302.
202. Jian Yang, Hui Ye, Jing-yu Yang, David Zhang, A New LDA-KL
Combined Method for Feature Extraction and Its Generalisation, Pattern
Analysis and Application, 2004, 7(1), 40-50.
203. Jian
Yang, Alejandro F. Frangi, Jing-yu Yang, A
New Kernel Fisher Discriminant Algorithm with Application to Face Recognition, Neurocomputing, 2004, vol.56,
415-421.
204. Jian Yang, Jing-yu Yang, Alejandro F.
Frangi, David Zhang,
Uncorrelated Projection Discriminant Analysis and Its Application to Face Image
Feature Extraction, International
Journal of Pattern Recognition and Artificial Intelligence, 2003, 17(8), 1325-1347.
205. Jian Yang, Jing-yu Yang, Alejandro F.
Frangi, Combined Fisherfaces
framework, Image and Vision Computing,
2003, 21(12), 1037-1044.
206. Jian Yang, Jing-yu Yang, David Zhang, J. F. Lu, Feature fusion:
parallel strategy vs. serial strategy, Pattern
Recognition, 2003, 36 (6), 1369-1381.
207. Jian Yang, Jing-yu Yang, Why can LDA
be performed in PCA transformed space? Pattern
Recognition, 2003, 36(2), 563-566.
208. Jian Yang, David Zhang, Jing-yu Yang, A generalised K-L
Expansion method which can deal with small sample size and high-dimensional
problems, Pattern Analysis and
Application, 2003, 6(1), 47-54.
209. Jian Yang, Jing-yu Yang, David Zhang, What’s wrong with Fisher
criterion? Pattern Recognition,
2002, 35(11), pp. 2665-2668.
210. Jian Yang, Jing-yu Yang, From image vector to matrix: a
straightforward image projection technique-IMPCA vs. PCA, Pattern Recognition, 2002, 35(9), pp. 1997-1999.
211. Jian Yang, Jing-yu Yang, Generalized K-L transform based
combined feature extraction, Pattern
Recognition, 2002, 35(1), pp. 295-297.