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硕士报考志愿采集    更新日期：2020年3月8日
姓 名 杨健 性 别 男
出生年月 1973年6月 籍贯 徐州
民 族 汉族 政治面貌 九三学社社员
最后学历 博士研究生 最后学位
技术职称 教授 导师类别 博士生导师
导师类型 校内 兼职导师 否
行政职务 院长 Email csjyang@mail.njust.edu.cn
工作单位 南京理工大学计算机学院 邮政编码 210094
通讯地址 南京市玄武区孝陵卫200号
单位电话 84315636
个人主页
指导学科
学科专业(主) 081104|模式识别与智能系统 招生类别 博、硕士 所在学院 计算机科学与工程学院
研究方向

研究领域：模式识别、计算机视觉、机器学习（包括深度学习）、类脑（类人）计算等。

应用领域：视频监控（以人为中心的感知）、无人驾驶汽车、智能机器人等。

做学问，需“三分知识，七分悟性；十分投入，百分热情”。 对模式识别而言，三分知识即“一分数学、一分语言、一分专业”（专业知识只需在入学后掌握）。 “七分悟性，十分投入，百分热情”是对所有学科均适用的准则。 热忱欢迎认同或理解以上准则的有志者报考本人的博士、硕士研究生！若报考博士生，请事先与我联系！
学科专业（辅） 081203|计算机应用技术 招生类别 博、硕士 所在学院 计算机科学与工程学院
研究方向

智能科学技术及应用：自主驾驶（包括行车环境感知等）、智能机器人等

 
工作经历

国家

单位

职务

起始时间

结束时间       

西班牙

萨拉戈萨大学

博士后

2003.1

2013.12

中国

香港理工大学

博士后

2004.4

2006.11

美国

新泽西理工学院

博士后

2006.12

2007.9

美国

加州理工学院

访问学者

2011.4

2011.9
 

 

教育经历

院校

专业

学历/学位

起始时间

结束时间

徐州师范大学

数学

学士

1991.9

1995.7

长沙铁道学院

数学

硕士

1995.9

1998.6

南京理工大学

模式识别与智能系统

博士

1999.9

2002.7
 

 

获奖、荣誉称号

荣誉称号

2011年度国家杰出青年科学基金获得者;

2013年入选国家百千万人才工程，被授予“有突出贡献中青年专家”；

2013-2014年度教育部长江学者特聘教授；

2016年入选IAPR Fellow；

2018年入选万人计划科技创新领军人才。

 

获奖情况

2017年度高等学校科学研究优秀成果奖自然科学一等奖，项目名称：“视觉信息的表示学习理论与方法”，第一完成人

2017年度江苏省科学技术（基础类）一等奖，项目名称：“图像结构表征和识别的理论与方法”，第一完成人

2014年黑龙江省科学技术（自然科学类）二等奖，项目名称：“生物特征识别中的特征抽取和特征表达方法”，第二完成人

2009年度国家自然科学奖二等奖，项目名称：“特征抽取理论与算法研究”，第二完成人

2008年教育部科技进步（推广类）二等奖，项目名称：“面向金融安全的智能信息处理技术及应用”，第二完成人

2007年江苏省科技进步一等奖，项目名称：“特征抽取理论、算法与应用研究”，第二完成人

2009年获第十一届中国青年科技奖

 

社会、学会及学术兼职

担任人工智能学会模式识别专委会副主任、江苏省人工智能学会模式识别专委会主任；

担任/曾担任以下国际SCI源学术期刊的Associate Editor：

Pattern Recognition, IEEE Trans. on Neural Networks and Learning Systems,

Pattern Recognition Letters, Neurocomputing

 

 

 

科研项目

1.    广州省重点领域研发项目（新一代人工智能专项），新一代智能网联汽车视觉与环境感知处理系统 （项目编号：2018B010108003，研究期限：2018年7月 -- 2021年5月，项目牵头单位：惠州市德赛西威汽车电子股份有限公司）参与单位负责人

 

2. 国家自然科学基金联合基金重点项目，服务机器人的主动环境认知与目标行为识别方法 (项目批准号：U1713208; 研究期限：2018年1月 -- 2021年12月)，项目负责人

3. 国家自然科学基金重大研究计划重点支持项目，生物认知机制和特性启发的视觉计算模型与方法研究 (项目批准号：91420201; 研究期限：2015年1月 -- 2017年12月) , 项目负责人

4. 国家杰出青年科学基金，模式识别与智能系统 (项目批准号：61125305; 研究期限：2012年1月 -- 2015年12月), 项目负责人

5. 国家973项目，基于DPS的感知灵敏度拓展理论与关键技术（项目编号：2014CB349300）, 第三课题：基于DPS的感知信息特征模型与实时反馈（课题编号：2014CB349303，研究期限：2014年1月 -- 2018年12月），课题负责人

发表论文

      在模式识别和机器智能领域的顶级国际期刊 IEEE Trans. on PAMI上发表论文8篇，在IEEE Trans. on Neural Networks, IEEE Trans. on Image Processing, and IEEE Trans. Cybernetics, Pattern Recognition等国际SCI源期刊上发表论文200余篇；在CVPR, ICCV, ECCV, NIPS, AAAI, IJCAI, ICRA等CCF A、B类会议上发表论文40余篇；Google Scholar被引用已逾19000次，单篇论文最高被引用逾4000次。

Selected International Conference Papers

  1. Zongyan Han, Zhenyong Fu, Jian Yang, Learning the Redundancy-free Features for Generalized Zero-Shot Object Recognition, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020), June 14-19, Seattle, USA
  2. Di Chen, Shanshan Zhang, Jian Yang, Bernt Schiele, Norm-Aware Embedding for Efficient Person Search, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020), June 14-19, Seattle, USA
  3. Zhenyu Zhang, Yan Yan, Stéphane Lathuilière, Elisa Ricci, Jian Yang, Nicu Sebe, Online Depth Learning against Forgetting in Monocular Videos, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020), June 14-19, Seattle, USA
  4. Yaqing Ding, Jian Yang, Jean Ponce, Hui Kong, Minimal solutions to relative pose estimation from two views sharing a common direction with unknown focal length, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020), June 14-19, Seattle, USA
  5. Kangkan Wang, Jin Xie, Lei Liu, Guofeng Zhang, Jian Yang, Sequential 3D Human Pose and Shape Estimation from Point Clouds, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020), June 14-19, Seattle, USA
  6. Ling Zhou, Zhen Cui, Chunyan Xu, Zhenyu Zhang, Chaoqun Wang, Tong Zhang, Jian Yang, Pattern-Structure Diffusion for Multi-Task Learning, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020), June 14-19, Seattle, USA
  7. Chaoqun Wang, Zhen Cui, Chunyan Xu, Ling Zhou, Tong Zhang, Xiaoya Zhang, Jian Yang, Cross-Modal Pattern-Propagation for RGB-T Tracking, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020), June 14-19, Seattle, USA
  8. Yaqing Ding, Jian Yang, Hui Kong, An efficient solution to the relative pose estimation with a common direction, the 2020 International Conference on Robotics and Automation (ICRA 2020), May 31 - June 4, 2020, Paris, France.
  9. Chunyan Xu, Zhen Cui, Xiaobin Hong, Tong Zhang, Jian Yang, Wei Liu. Graph Inference Learning for Semi-Superivsed Classification. International Conference on Learning Representations (ICLR), 2020. 
  10. Xiang Li, Shuo Chen, Jian Yang, Understanding the Disharmony between Weight Normalization Family and Weight Decay, Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA.
  11. Di Chen, Shanshan Zhang, Wanli Ouyang, Jian Yang, Bernt Schiele, Hierarchical Online Instance Matching for Person Search, Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA (Oral)
  12. Yao Yao, Jiehui Deng, Xiuhua Chen, Chen Gong, Jianxin Wu, Jian Yang, Deep Discriminative CNN with Temporal Ensembling for Ambiguously-Labeled Image Classification, Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA
  13. Tong Zhang, Zhen Cui, Chunyan Xu, Wenming Zheng, Jian Yang, Variational Pathway Reasoning for EEG Emotion Recognition, Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA (Oral)
  14. Hanyu Xuan, Zhenyu Zhang, Shuo Chen, Jian Yang, Yan Yan, Cross-Modality Attention Network for Temporal Inconsistent Audio-Visual Event Localization, Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA
  15. Jinshan Pan, Deqing Sun, Yang Liu, Jimmy Ren, Ming-Ming Cheng, Jian Yang, Jinhui Tang, Image Formation Model Guided Deep Image Super-Resolution, Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA
  16. Shuo Chen, Lei Luo, Jian Yang, Chen Gong, Jun Li, Heng Huang, Curvilinear Distance Metric Learning, Neural Information Processing Systems 2019 (NeurIPS 2019), Vancouver, Canada.
  17. Yaqing Ding, Jian Yang, Jean Ponce, Hui Kong, An efficient solution to the homography-based relative pose problem with a common reference direction, ICCV 2019, Korea.
  18. Wei Luo, Xitong Yang, Xianjie Mo, Yuheng Lu, Larry Davis, Jun Li, Jian Yang, Ser-Nam Lim, Cross-X Learning for Fine-Grained Visual Categorization, ICCV 2019, Korea.
  19. Chuang Zhang, Chen Gong, Jian Yang et al., Positive and Unlabeled Learning with Label Disambiguation, IJCAI 2019.
  20. Xiang Li, Xiaolin Hu, Wenhai Wang, Jian Yang, Selective Kernel Networks, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2019).
  21. 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).
  22. 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).
  23. 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).
  24. Chengzheng Li, Chunyan Xu, Zhen Cui, Dan Wang, Zequn Jie, Tong Zhang, Jian Yang; The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019, pp. 20-27 (First Place Winner of Task 2 and Second Place Winner of Task 1).
  25. 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).
  26. 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).
  27. Shuo Chen, Chen Gong, Jian Yang, Ying Tai, Le Hui, Jun Li, Data-Adaptive Metric Learning with Scale Alignment, AAAI 2019.
  28. Le Hui, Xiang Li, Chen Gong, Jian Yang, Inter-Class Angular Loss for Convolutional Neural Networks, AAAI 2019.
  29. Jiatao Jiang, Zhen Cui, Chunyan Xu, Jian Yang, Gaussian-Induced Convolution for Graphs, AAAI 2019.
  30. 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.
  31. 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.
  32. 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.
  33. 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.
  34. Shuo Chen, Chen Gong, Jian Yang, Adversarial Metric Learning, the 27th International Joint Conference on Artificial Intelligence (IJCAI), Stockholm, Sweden July 13-19, 2018.
  35. 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.
  36. 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.
  37. 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).
  38. 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).
  39. 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).
  40. Chaolong Li, Zhen Cui, Wenming Zheng, Chunyan Xu, Jian Yang, Spatio-Temporal Graph Convolution for Skeleton Based Action Recognition, AAAI 2018.
  41. 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)
  42. Chen Gong, Hengmin Zhang, Jian Yang, and Dacheng Tao, Learning with Inadequate and Incorrect Supervision, International Conference on Data Mining (ICDM 2017)
  43. Ying Tai, Jian Yang and Xiaoming Liu, Memnet: A persistent memory network for image restoration, International Conference on Computer Vision (ICCV 2017).
  44. 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).
  45. 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.
  46. 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).
  47. 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.
  48. 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.
  49. 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.  
  50. 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.
  51. Jianjun Qian, Jian Yang, Fanlong Zhang, Zhouchen Lin, Robust Low-Rank Regularized Regression for Face Recognition with Occlusion, 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops on Biometrics(CVPRW), Columbus, Ohio.
  52. Meng Yang, Lei Zhang, Jian Yang, and David Zhang, Robust Sparse Coding for Face Recognition, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2011), Colorado Springs, June 21-23, 2011.
  53. Jian Yang, Zhen Lou, Zhong Jin, and Jing-yu Yang, “Minimal Local Reconstruction Error Measure Based Discriminant Feature Extraction and Classification”, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), Alaska, June, 2008.
  54. Jian Yang, Chengjun Liu, “A General Discriminant Model for Color Face Recognition”, Eleventh IEEE International Conference on Computer Vision (ICCV 2007), Rio de Janeiro, Brazil, October 14-20, 2007

 

Selected International Journal Papers

1.      Chen Gong, Hong Shi, Tongliang Liu, Chuang Zhang, Jian Yang, Dacheng Tao, Loss Decomposition and Centroid Estimation for Positive and Unlabeled Learning, IEEE Transactions on Pattern analysis and machine intelligence, to appear

2.      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

3.      Shuo Gu, Yigong Zhang, Jinhui Tang, Jian Yang, Jose Alvarez, Hui Kong, Integrating Dense LiDAR-Camera Road Detection Maps by a Multi-Modal CRF Model, IEEE Transactions on Vehicular Technology, to appear

4.      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

5.      Zhenyu Zhang, Zhen Cui, Chunyan Xu, Zequn Jie, Xiang Li, Jian Yang, Joint Task-Recursive Learning for RGB-D Scene Understanding, IEEE Transactions on Pattern analysis and machine intelligence, to appear

6.      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

7.      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

8.      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

9.      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

10.   Chen Gong, Jian Yang, Dacheng Tao, Multi-modal Curriculum Learning over Graphs,  ACM Transactions on Intelligent Systems and Technology, to appear

11.   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

12.   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

13.   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

14.   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

15.   Jie Xu, Lin Zhao, Shanshan Zhang, Chen Gong, Jian Yang, Multi-Task Learning for Object Keypoints Detection and Classification, Pattern Recognition Letters, to appear

16.   Hongliang Zou, Jian Yang, Exploring the Brain Lateralization in ADHD Based on Variability of Resting-State fMRI Signal, Journal of Attention Disorders, to appear

17.   Hongliang Zou, Jian Yang, Temporal Variability-Based Functional Brain Lateralization Study in ADHD, Journal of Attention Disorders, to appear

 

18.   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, 2019, 30(9), 2825-2839.

19.   Hongliang Zou, Jian Yang, Dynamic thresholding networks for schizophrenia diagnosis, Artificial Intelligence In Medicine, 2019, 96, 25-32

20.   Hongliang Zou, Jian Yang, Multi-frequency Dynamic Weighted Functional Connectivity Networks for Schizophrenia Diagnosis, Applied Magnetic Resonance, 2019, 50, 847-859

21.   Wei Zheng, Hui Yan, Jian Yang, Robust Unsupervised Feature Selection by Nonnegative Sparse Subspace Learning, Neurocomputing, 2019, 334, 156-171.

22.   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.

23.   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.

24.   Bike Chen, Chen Gong, Jian Yang, Importance-Aware Semantic Segmentation for Autonomous Vehicles, IEEE Trans. on Intelligent Transportation Systems, 2019, 20(1), 137-148.

25.   Yang Wei, Jian Yang, Chen Gong, Shuo Chen, Jianjun Qian, Obstacle Detection by Fusing Point Clouds and Monocular Image, Neural Processing Letters, 2019, 49(3),1007–1019.

26.   Shuo Gu, Yigong Zhang, Xia Yuan, Jian Yang, Tao Wu, and Hui Kong, Histograms of the Normalized Inverse Depth and Line Scanning for Urban Road Detection, IEEE Transactions on Intelligent Transportation Systems, 2019, 20(8), 3070-3080.

27.   Tao Wang, Jian Yang, Zexuan Ji, and Quansen Sun, Probabilistic Diffusion for Interactive Image Segmentation, IEEE Trans. Image Processing, 2019, 28(1), 330-342.

28.   Niange Yu, Jianwei Zhang, Xiaolin Hu, Jian Yang, Topic-Oriented Image Captioning Based on Order-Embedding, IEEE Trans. Image Processing, 2019, 28(6), 2743-2754.

29.   Xiaolin Luo, Yong Xu, Jian Yang, Multi-resolution Dictionary Learning for Face Recognition, Pattern Recognition, 2019, 93(9), 283-292.

30.   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.

31.   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.

32.   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, 2019, 29(11), 5228-5241.

33.   Chunyan Xu, Jian Yang, Hanjiang Lai, Junbin Gao, Linlin Shem, Shuicheng Yan, UP-CNN: Un-pooling augmented convolutional neural network, Pattern Recognition Letters, 2019, Vol. 119, 34-40.

34.   Chunyan Xu, Jian Yang, Junbin Gao, Coupled-learning convolutional neural networks for object recognition, Multimedia Tools and Applications, 78 (1), 573-589, 2019.

35.   Zhen Cui, Youyi Cai, Wenming Zheng, Chunyan Xu, Jian Yang, Spectral filter tracking, IEEE Trans. Image Processing, 2019, 28(5), 2479-2489.

36.   Chen Gong, Dacheng Tao, Xiaojun Chang, and Jian Yang, Ensemble Teaching For Hybrid Label Propagation, IEEE Transactions on Cybernetics, 2019, 49(2), 388-402.

37.   Kaihua Zhang, Jiaqing Fan, Qingshan Liu, Jian Yang, Wei Lian, Parallel Attentive Correlation Tracking, IEEE Trans. Image Processing, 2019, 28(1), 479-491.

38.   Wei Zheng, Chunyan Xu, Jian Yang, Junbin Gao, Fa Zhu, Low-Rank Structure Preserving for Unsupervised Feature Selection, Neurocomputing, 2018, vol. 314, 360-370.

39.   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.

40.   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.

41.   Lei Luo, Qinghua Tu, Jian Yang, An Adaptive Line Search Scheme for Approximated Nuclear Norm Based Matrix Regression, Neurocomputing, 2018, vol. 289, 23-31.

42.   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.

43.   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.

44.   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.

45.   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.

46.   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.

47.   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.

48.   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.

49.   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.

50.   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.

51.   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.

52.   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.

53.   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.

54.   Kaihua Zhang, Qingshan Liu, Jian Yang, Ming-Hsuan Yang, Visual Tracking via Boolean Map Representations, Pattern Recognition, 2018, Vol. 81, 147-160.

55.   Junxia Li, Jian Yang, Chen Gong, Qingshan Liu, Saliency fusion via sparse and double low rank decomposition, Pattern Recognition Letters, 2018, 107, 114-122.

56.   Chunyan Xu, Jian Yang, Junbin Gao, Hanjiang Lai, Shuicheng Yan, SRNN: Self-regularized neural network, Neurocomputing, 2018, Vol. 273, 260-270

57.   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.

58.   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.

59.   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

60.   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

61.   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.

62.   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

63.   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.

64.   Zhihui Lai, Yong Xu, Jian Yang, Linlin Shen, David Zhang, Rotational invariant dimensionality reduction algorithms, IEEE Trans. Cybernetics, 2017，47(11), 3733 - 3746

65.   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.

66.   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.

67.   Meng Yang, Heyou Chang, Weixin Luo, Jian Yang, Fisher discrimination dictionary pair learning for image classification, Neurocomputing, 2017, 269: 13-20.

68.   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.

69.   Cairong Zhao, X Wang, WK Wong, W Zheng, Jian Yang, D Miao, Multiple metric learning based on bar-shape descriptor for person re-identification, Pattern Recognition, 71, 218-234, 2017

70.   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

71.   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.

72.   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.

73.   Ying Tai, Jian Yang, Kernel Orthogonal Procrustes Regression for Face Recognition across Pose, Neurocomputing, 239 (5) 2017, Pages 122-129

74.   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.

75.   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

76.   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

77.   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.

78.   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.

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

80.   Jianchun Xie, Jian Yang, Jianjun Qian, Lei Luo, Bi-weighted Robust Matrix Regression for Face Recognition,Neurocomputing, 2017, Vol. 237, 375-387.

81.   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.

82.   Lingzheng Dai, Jian Yang, Liang Chen, Junxia Li, Category-specific Object Segmentation via Unsupervised Discriminant Shape, Pattern Recognition, 2017, 64: 202-214.

83.   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]

84.   Fa Zhu, Jian Yang, Junbin Gao, Chunyan Xu, Extended Nearest Neighbor Chain Induced Instance-Weights for SVMs, Pattern Recognition, 2016, 60: 863-874.

85.   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.

86.   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.

87.   Chang Heyou, Lei Luo, Jian Yang, Meng Yang, Schatten p-norm based Principal Component Analysis, Neurocomputing, 2016, 207: 754-762.

88.   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

89.   Guangwei Gao, Jian Yang, Xiaoyuan Jin, et al. Robust Face Recognition via Multi-scale Patch-based Matrix Regression, PLOS ONE, 2016, 11(8): e0159945.

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

91.   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.

92.   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.

93.   Fa Zhu, Jian Yang, Cong Gao, Sheng Xu, Ning Ye, Tongming Yin, A weighted one-class support vector machine, Neurocomputing, 2016, 189: 1-10.

94.   Chang Heyou, Meng Yang, Jian Yang, Learning a Structure Adaptive Dictionary for Sparse Representation based Classification, Neurocomputing, 2016, 190: 124-131.

95.   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.

96.   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.

97.   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.

98.   Guangsheng Xia, Hui Yan, Jian Yang, Sparse preserving feature weights learning, Neurocomputing, 2016, 185: 45-52.

99.   Hui Yan, Jian Yang, Jing-yu Yang, Robust Joint Feature Weights Learning Framework, IEEE Trans. Knowledge and Data Engineering, 2016, 28(5): 1327-1339.

100. Hui Yan, Jian Yang, Sparse discriminative feature weights learning, Neurocomputing, 2016, 173(3), 1936–1942.

101. 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).

102. 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.

103. Zheng Zhang, Yong Xu, Jian Yang, Xuelong Li, David Zhang, A Survey of Sparse Representation: Algorithms and Applications. IEEE Access 3: 490-530 (2015).

104. 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.

105. 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.

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

107. 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.

108. 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.

109. 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.

110. 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.

111. Lingzheng Dai, Jundi Ding, Jian Yang, Inhomogeneity-Embedded Active Contour for Natural Image, Pattern Recognition, 2015, 48(8), 2513-2529.

112. Hui Yan, Jian Yang, Locality preserving score for joint feature weights learning. Neural Networks, 69, 2015, pp.126-134.

113. Hui Yan, Jian Yang, Sparse Discriminative Feature Selection, Pattern Recognition, 2015, 48(5), 1827-1835.

114. 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.

115. 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.

116. 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

117. Jian Zhang, Jian Yang, Jianjun Qian, Nearest Orthogonal Matrix Representation for Face Recognition, Neurocomputing, Vol.151, Part 1, 2015, pp.471-480.

118. 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.

119. Cunlai Pu, Siyuan Li, Andrew Michaelson, Jian Yang, Iterative path attacks on networks, Physics Letters A, Volume 379, Issues 28–29, 1633-1638

120. Jianjun Qian, Jian Yang, Yong Xu, General Regression and Representation Model for Classification, PLOS ONE, 12/2014; 9(12): e115214.

121. 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.

122. 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.

123. Yong Xu, Xiaozhao Fang, Xuelong Li, Jian Yang, et al. Data Uncertainty in Face Recognition, IEEE Trans. Cybernetics, 2014, 44(10), 1950-1961.

124. 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.

125. 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.

126. Jinhui Chen, Jian Yang, Robust Subspace Segmentation via Low-Rank Representation, IEEE Trans. Cybernetics, 2014, 44(8):1432-1445.

127. 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

128. 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.

129. Guangwei Gao, Jian Yang, A Novel Sparse Representation based Framework for Face Image Super-Resolution, Neurocomputing, 134 (2014) 92-99.

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

131. 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

132. 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

133. Jun Li, Jian Yang, Continuous attractors of higher-order recurrent neural networks with infinite neurons, Neurocomputing, 2014, vol. 131, 388–396.

134. Jian Zhang, Jian Yang, Linear Reconstruction Measure Steered Nearest Neighbor Classification Framework, Pattern Recognition, 47 (2014) 1709–1720.

135. 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.

136. Jie Xu, Jian Yang, Median-mean Line based Discriminant Analysis, Neurocomputing, 2014, vol. 123, 233-246.

137. Hui Yan, Jian Yang, Joint Laplacian feature weights learning. Pattern Recognition, 2014, 47(3), 1425-1432.

138. Yuting Tao, Jian Yang, Enhanced iterative projection for subclass discriminant analysis under EM alike framework, Pattern Recognition, 2014, 47(3), 1113-1125.

139. 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.

140. Cun-lai Pu, Wei Cui, Jian Yang, Tunable path centrality: Quantifying the importance of paths in networks, Physica A, 405: 267-277, 2014.

141. 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.

142. Shangbin Gao, Jian Yang, Saliency based localizing active contour for Automatic Natural Object Segmentation, IET Image Processing, 2013, 7(9), pp.787 – 794.

143. 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.

144. Zhihui Lai, Yong Xu, Jian Yang and David Zhang, Sparse Tensor Discriminant Analysis, IEEE Trans. on Image Processing, 2013, 22(10), 3904-3915.

145. 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

146. 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

147. 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

148. 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.

149. Jie Xu, Jian Yang, K-local Hyperplane Distance Nearest Neighbor Classifier Oriented Local Discriminant Analysis, Information Sciences, 2013, 232, 11-26.

150. Nan Zhang, Jian Yang, Low-rank Representation based Discriminative Projection for Robust Feature Extraction, Neurocomputing, 2013, 111, 13-20.

151. 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.

152. Yan Cui, Chunhou Zheng, Jian Yang, Identifying Subspace Gene Clusters from Microarray Data Using Low-Rank Representation, PLOS ONE, 2013, 8(3): e59377.

153. X. Chen, J. Yang, David Zhang, Complete Large Margin Linear Discriminant Analysis Using Mathematical Programming Approach, Pattern Recognition, 2013, 46(6): 1579-1594

154. Yan Cui, Chunhou Zheng, Jian Yang, Dimensionality reduction for microarray data using local mean based discriminant analysis, Biotechnology Letters, 2013, 35(3): 331-336

155. Jie Xu, Jian Yang, A nonnegative sparse representation based fuzzy similar neighbor classifier, Neurocomputing, 2013, 99(1), 76-86.

156. Zhenghong Gu, Jian Yang, Sparse margin-based discriminant analysis for feature extraction. Neural Computing and Applications, 2013, 23(6): 1523-1529.

157. Cun-Lai Pu, Jian Yang, et al, Robustness analysis of static routing on networks, Physica A, 392(15):3293-3300, 2013.

158. Xiaobo Chen, Jian Yang, Qirong Mao, Regularized least squares fisher linear discriminant with applications to image recognition, Neurocomputing, 2013, 122, 521-534 

159. 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

160. 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.

161. 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.

162. X. Chen, J. Yang, J. Liang. A Flexible Support Vector Machine for Regression. Neural Computing and Applications, 2012, 21(8) 2005-2013.

163. 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.

164. 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

165. 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

166. 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

167. 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.

168. 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.

169. 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.

170. Xiaobo Chen, Jian Yang, Jun Liang, Qiaolin Ye, Smooth Twin Support Vector Regression, Neural Computing and Applications, 2012, 21(3) 505-513

171. Yong Xu, Aini Zhong, Jian Yang, David Zhang, Bimodal biometrics based on a representation and recognition approach, Optical Engineering, 2011, 50(3), 037202.

172. Jie Xu, Jian Yang, Mean representation based classifier with its applications, Electronic Letters, 2011, 47(18), 1024-1026.

173. 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.

174. 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

175. 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

176. 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

177. 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.

178. 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

179. 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

180. Zhihui Lai, Minghua Wan, Zhong Jin, Jian Yang, Sparse two-dimensional local discriminant projections for feature extraction. Neurocomputing, 2011, 74(4): 629-637

181. Hui Yan, Jian Yang, Jing-Yu Yang, Bimode model for face recognition and face representation, Neurocomputing, 2011, 74(5), 741-748

182. Zuoyong Li,  Jian Yang, Guanghai Liu, Yong Cheng, Chuancai Liu, Unsupervised range-constrained thresholding, Pattern Recognition Letters, 2011, 32(16), 392-402.

183. Zhenghong Gu, Jian Yang, Lei Zhang, Push-Pull marginal discriminant analysis for feature extraction, Pattern Recognition Letters, 2010, 31(15), 2345-2352.

184. Yong Xu, Aini Zhong, Jian Yang, David Zhang, LPP solution schemes for use with face recognition, Pattern Recognition, 2010, 43(12), 4165-4176. 

185. 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.

186. 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.

187. 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.

188. 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

189. Yuting Tao, Jian Yang, Quotient vs. Difference: Comparison between the two discriminant criteria, Neurocomputing, 2010, 73 (10-12), pp. 1808-1817.

190. 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.

191. 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.

192. Chengjun Liu, Jian Yang, ICA Color Space for Pattern Recognition, IEEE Transactions on Neural Networks, 2009, 20(2), 248-257.

193. Jian Yang, Chengjun Liu, Color Image Discriminant Models and Algorithms for Face Recognition, IEEE Transactions on Neural Networks, 2008, 19(12), 2088-2098.

194. 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.

195. 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.

196. 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.

197. 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.

198. 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.

199. 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.

200. 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

201. 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 

202. Jian Yang, David Zhang, Jing-yu Yang, Locally Principal Component Learning for Face Representation and Recognition, Neurocomputing, 2006, 69 (13-15), 1697-1701.

203. 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.

204. 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.

205. 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.

206. Jian Yang, David Zhang, Yong Xu, and Jing-yu Yang, Two-dimensional Discriminant Transform for Face Recognition, Pattern Recognition, 2005, 38(7), 1125-1129.

207. 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.

208. 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.

209. 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.

210. Yong Xu, Jing-yu Yang, Jian Yang, A Reformative Kernel Fisher Discriminant Analysis, Pattern Recognition, 2004, 37 (6), 1299-1302.

211. 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.

212. 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.

213. 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.

214. Jian Yang, Jing-yu Yang, Alejandro F. Frangi, Combined Fisherfaces framework, Image and Vision Computing, 2003, 21(12), 1037-1044.

215. Jian Yang, Jing-yu Yang, David Zhang, J. F. Lu, Feature fusion: parallel strategy vs. serial strategy, Pattern Recognition, 2003, 36 (6), 1369-1381.

216. Jian Yang, Jing-yu Yang, Why can LDA be performed in PCA transformed space? Pattern Recognition, 2003, 36(2), 563-566.

217. 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.

218. Jian Yang, Jing-yu Yang, David Zhang, What’s wrong with Fisher criterion? Pattern Recognition, 2002, 35(11), pp. 2665-2668.

219. 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.

220. Jian Yang, Jing-yu Yang, Generalized K-L transform based combined feature extraction, Pattern Recognition, 2002, 35(1), pp. 295-297.

 

 

出版专著和教材

David Zhang, Xiaoyuan Jing, Jian Yang, Biometric Image Discrimination Technologies, Idea Group Publishing, Hershey, USA, 2006

 

 

指导学生情况

    已培养研究生52人（已毕业），其中博士24人，硕士28人。获人工智能学会优博1名、江苏省优博1名。培养研究生的参赛获奖情况如下

2016年：研究生李翔所在“SecRet;WeaPon”队获“阿里移动推荐算法”大赛冠军。全球共有36个国家和地区、7000多支队伍参加了角逐；

2016年：“2016上海大数据应用大赛”总决赛，我们团队硕士研究生李剑所在的“大唯团队”获得计算机视觉竞赛第二名；

2016年：我们团队博士研究生李翔所在的团队摘得2016全球Di-Tech出行预测算法大赛桂冠，荣获10万美金奖金；

2017年：硅谷终身学习平台BitTiger（太阁）与UCAR（神州专车）北美实验室联手举办的“无人驾驶深度学习挑战赛”，全球共360支队伍参赛，本课题组团队获得冠军；

2017年：Udacity-DiDi无人驾驶全球挑战赛，共吸引来自中国、美国、俄罗斯、西班牙等世界各地的4285名选手组成的近2500支队伍参赛，本课题组团队夺得冠军，并赢得10万美元大奖；

2017年：第九届“中国智能车未来挑战赛” 复杂环境认知水平能力离线测试竞赛，该赛事包含车道线检测等五个测试任务。本课题组PCALab团队（领队：钱建军副教授），获得了三项任务（车道线检测、交通信号检测、车道保持状态监测）的第二名和一项任务（前方车辆车距监测）的第三名，是参赛队伍中获得奖项最多的团队；

2018年：研究生陈佳鑫（队长）所在团队摘得2018“用户兴趣建模大赛”的桂冠，并赢得20万人民币大奖；

2018年：“跨越险阻-2018”第三届陆上无人系统挑战赛G1组离线环境感知比赛，本课题组PCA Lab-2队获第二名；

2018年：全球AI挑战赛2018无人驾驶视觉感知竞赛，本课题组李剑所在的Amadeus团队获得亚军；

2018年：2018中国智能车未来挑战赛“复杂动态交通场景视觉认知基础能力离线测试”大赛，来自国内知名大学、研究所和公司的23支队伍同台竞技。本次挑战赛共包括 “道路区域人员监测”、“交通信号检测”、“前方车辆位置监测”以及“车道偏离监测”四个项目。本课题组的两支参赛队伍PCALab队和PCA-地平线队共斩获四个测试项目中的两项第一、两项第二；

2019年：我们PCA Lab的硕士生李承政所在的pca_lab团队斩获计算机视觉顶级会议CVPR2019遥感图像目标检测冠亚军。

 

 

我的团队

所领衔的“视觉计算与环境感知”团队入选江苏省第十六批“六大人才高峰”创新人才团队。