论文


  • Yan-Jiang Wang, Shao Shuai, Rui Xu, Weifeng Liu, Bao-Di Liu, Class Specific or Shared? A Cascaded Dictionary Learning Framework for Image Classification, Signal Processing, 176: 107697, 2020 [SCI二区]
  • Fei Pan, Zaixu Zhang, Bao-Di Liu, Ji-Jun Xie, Class-Specific Sparse Principal Component Analysis for Visual Classification, IEEE ACCESS, 8: 110033-110047, 2020 [SCI二区]
  • Shuai Shao, Rui Xu, Wefeng Liu, Bao-Di Liu, Yan-Jiang Wang, Label Embedded Dictionary Learning for Image Classification, Neurocomputing, 385: 122-131, 2020 [SCI二区]
  • Li Wang, Yanjiang Wang, Yaqian Zhao, Bao-Di Liu, Classification of Remotely Sensed Images Using an Ensemble of Improved Convolutional Network, IEEE Geoscience and Remote Sensing Letters, 2020 [SCI二区]
  • Liu Weifeng, Ma Xueqi, Zhou Yicong, Tao Dapeng, and Cheng Jun: ‘p-Laplacian Regularization for Scene Recognition’, IEEE Transactions on Cybernetics, 2019, 49, (8), pp. 2927-2940 [SCI一区]
  • Ma, Xueqi, Liu Weifeng*, Li Shuying, Tao Dapeng, and Zhou Yicong*: ‘Hypergraph p-Laplacian Regularization for Remotely Sensed Image Recognition’, IEEE Transactions on Geoscience and Remote Sensing, 2019, 57, (3), pp. 1585-1595 [SCI二区]
  • Feng Guanhua, Liu Weifeng*, Li Shuying, Tao Dapeng, and Zhou Yicong*: ‘Hessian regularized multi-task dictionary learning for Remote Sensing Image Recognition’, IEEE Geoscience and Remote Sensing Letters, 2019, 16, (5), pp. 821-825 [SCI二区]
  • Fu Sichao, Liu Weifeng*, Zhou Yicong, and Nie Liqiang: ‘HpLapGCN: Hypergraph p-Laplacian Graph Convolutional Networks’, Neurocomputing, 2019, 362, pp. 166-174 [SCI二区]
  • Ma Xueqi, Tao Dapeng, and Liu Weifeng*,‘Effective human action recognition by combining manifold regularization and pairwise constraints’, Multimedia Tools and Applications, 2019, 78, (10), pp. 13313-13329 [SCI四区]
  • Bao-Di Liu, Jie Meng, Wenyang Xie, Shuai Shao, Ye Li, Yanjiang Wang, Weighted Spatial Pyramid Matching Collaborative Representation for Remote-Sensing-Image Scene Classification, Remote Sensing, 11(5):518, 2019 [SCI二区]
  • Wenyang Xie, Bao-Di Liu, Shuai Shao, Ye Li, Yanjiang Wang, Sparse Representation and Collaborative Representation? Both Help Image Classification, IEEE ACCESS, 7:76061-76070, 2019 [SCI二区]
  • Linyuan Shang, Yanjiang Wang, Xiaogang Deng, Yuping Cao, Ping Wang, and Yuhong Wang. A model predictive control performance monitoring and grading strategy based on improved slow feature analysis. IEEE Access, 2019, 7:50897-50911 [SCI二区 WOS:000467152800001,IF=4.098]
  • Linyuan Shang , Yanjiang Wang , Xiaogang Deng, Yuping Cao , Ping Wang , Yuhong Wang. An enhanced model predictive controller performance assessment method based on multi-step slow feature analysis. Energies. 2019, 12(19): 3799 doi:10.3390/en12193799 [SCI 三区 IF: 2.707 WOS:000498072600210]
  • Liu Weifeng, Zhang, Lianbo, Tao Dapeng, and Cheng Jun: ‘Reinforcement Online Learning for Emotion Prediction by Using Physiological Signals’, Pattern Recognition Letters, 2018, 107, pp. 123-130 [SCI三区]
  • Bao-Di Liu, Wen-Yang Xie, Jie Meng, Ye Li, Yanjiang Wang, Hybrid Collaborative Representation for Remote-Sensing Image Scene Classification, Remote Sensing, 10(12): 1934, 2018 [SCI二区]
  • Liu Weifeng,Yang Xinghao, Tao Dapeng, Cheng Jun, Tang Yuanyan: ‘Multiview dimension reduction via Hessian multiset canonical correlations’, Information Fusion, 2018, 41, pp. 119-128 [SCI一区]
  • Xue Li, Bin Shen, Bao-Di Liu, Yu-Jin Zhang, Ranking Preserving Low Rank Factorization for Image Annotation with Missing labels, IEEE Transactions on Multimedia, 20(5):1169-1178, 2018 [SCI二区]
  • Limiao Deng, Yanjiang Wang, Zhongzhi Han, Renshi Yu. Research on insect pest image detection and recognition based on bio-inspired methods. Biosystems Engineering, 2018, 169: 139-148[SCI二区,WOS:000431747500012,IF=2.132, EI检索: 20181004857118]
  • Limiao Deng, Mingyue Gao, Yanjiang Wang. Increment learning and rapid retrieval of visual information based on pattern association memory, Neural Processing Letters, 2018,48: 1597-1610 [SCI三区,WOS:000451460500020,IF=1.787, EI检索: 20180504692940]
  • Limiao Deng, Yanjiang Wang, Baodi Liu, Weifeng Liu, Yujuan Qi. Biological modeling of human visual system for object recognition using GLoP filters and sparse coding on multi-manifolds[J]. Machine Vision & Applications, 2018,29(6):965-977. DOI:10.1007/s00138-018-0928-9[SCI三区: WOS:000441913600005,IF=1.306, EI检索: 20181504998571]
  • Xue Chen, Yanjiang Wang. Exploring the dynamic relation between human brain structural and functional connectivity based on SIS model, IEEE/CAA Journal of Automatica Sinica (JAS),2018,5 (6):1079-1088[EI:20180804814802]
  • Li Wang, Yanjiang Wang, Bao-Di Liu. Laplace graph embedding class specific dictionary learning for face recognition, Journal of Electrical and Computer Engineering, Feb. 7, 2018, 11 pages. https://doi.org/10.1155/2018/2179049 [EI:20181004851757]
  • 李鹏,王延江,一种运动背景下视觉注意辅助的目标检测方法,湖南大学学报(自然科学版),2018,45(8):138-149[EI:20184806161262,挂刘伟锋基金号,第二顺序]
  • 周斌,王延江,刘伟锋,刘宝弟.基于Hessian正则化多视角学习的抽油机井工况识别新方法. 中国石油大学学报(自然科学版),2018,42(3):154-161[EI:20183505751546]
  • 周斌,王延江,刘伟锋,刘宝弟.基于Hessian正则化支持向量机的多视角协同识别抽油机井工况方法.石油学报,2018,39(12):1429-1436(EI:)[EI:20190806518446]
  • Bin Zhou, Yanjiang Wang, Weifeng Liu, Baodi Liu. Hessian-regularized weighted multi-view canonical correlation analysis for working condition recognition of sucker-rod pumping wells. Systems Science & Control Engineering, 2018, , 6(3):215-226. [EI:20191106616732]

  • 发明专利


  • 王延江、周斌,“一种基于多视角学习的抽油机井工况识别方法和系统”,发明专利,No.ZL 201811463075.8,2019
  • 刘伟锋、杨兴浩,“一种基于多视角典型相关分析的人脸识别方法及其系统,2019
  • 刘伟锋、杨兴浩,潘晓,“一种基于典型相关分析网络的二视角图像识别方法”,2019
  • 刘宝弟、王立、韩丽莎、王延江,“基于核空间的线性鉴别稀疏表示分类器的设计方法”,发明专利,No.ZL 201610264895.9,2019
  • 王立、王延江、刘宝弟,“一种基于拉普拉斯嵌入的图像分类词典学习方法和装置”,发明专利,No.ZL 201710447133.7,2018
  • 刘伟锋、马腾洲,”一种基于自编码的物体识别方法, No.ZL 201610055128.7,2018
  • 刘伟锋,“一种智能导盲装置及安装有该装置的导盲杖,No.ZL 201610010270.X,2018
  • 刘伟锋,“一种智能导盲方法”,No.ZL 201610012203.1,2018
  • 刘伟锋,“一种基于高阶图结构p-Laplacian稀疏编码的数字图像标记方法”,No.ZL 201510632014.X,2017
  • 刘宝弟、王立、韩丽莎、王延江,“基于核空间自解释稀疏表示的分类器设计方法”,No.ZL 201610070445.6,2017
  • 刘宝弟、王立、韩丽莎、王延江,“基于核空间的分类聚集稀疏表示的人脸识别方法”,No.ZL 201610065827.X,2017