职  称:副教授
研究方向:模式识别、机器学习等
办公电话:wangjz019@nenu.edu.c
办公地点:计算机学院
电子邮件:wangjz019@nenu.edu.cn

个人简历

*学习经历: 2000-2004 吉林大学 计算机科学与技术 学士 2004-2007 东北师范大学 计算机应用技术 硕士 2007-2010 东北师范大学 概率论与数理统计 博士 2011-2015 东北师范大学 药物基因与蛋白筛选国家工程实验室 博士后 *工作经历: 2011-至今 东北师范大学信息科学与技术学院 *主持项目: 1. 基于图优化模型的多视角数据维数约简技术研究,国家自然科学基金(青年基金),2014年 2. 数字钼靶图像中的乳腺肿块计算机辅助诊断研究,吉林省科技厅,2013年 3. 乳腺钼靶图像中的肿块诊断问题研究,吉林省教育厅,2013年 *主要参加项目: 1. 基于CR微分算子的复值神经网络学习算法研究,吉林省科技厅,2017 2. 融合不确定性认知的时变空气污染集合大数据可视分析方法研究,国家自然科学基金(面上),2017 3. 基于深度复合语境的视频事件识别模型研究,国家自然科学基金(面上),2017 4. 基于视频的驾驶人员行为检测、分析系统研究与开发,吉林省科技厅(重点项目),2016 5. 基于视频的城市内涝分析系统的研究与开发,吉林省科技厅(重点项目),2014 *社会兼职: 吉林省图像图形学会理事 中国人工智能学会会员 *奖励 1. “吉林省高校科研春苗人才”,吉林省教育厅,2013。 2. “高维数据的降维及相关问题”, 吉林省科学技术奖自然科学奖,二等奖(3/6),2013。 3. “基于流型与稀疏表示的视频分析、识别研究”, 吉林省自然科学学术成果奖,二等奖(2/3),2015。 *专著: 1. 高维数据的维数约简方法及其应用,科学出版社,2016年 2. 基于全局与局部信息的人脸识别,科学出版社,2016年 *论文: 1. An Intelligent Multi-View Active Learning Method Based on a Double-Branch Network,Entropy,2020年(通讯作者) 2. Object Detection Based on Multiple Information Fusion Net,Applied Sciences, 2020年 (通讯作者) 3. Non-Negative Matrix Factorization with Locality Constrained Adaptive Graph,IEEE Transactions on Circuits and Systems for Video Technology,2020年(通讯作者) 4. Scene Recognition via Semi-Supervised Multi-Feature Regression, IEEE ACCESS, 2019年(通讯作者) 5. Joint Graph Optimization and Projection Learning for Dimensionality Reduction, Pattern Recognition, 2019年(通讯作者) 6. Dimensionality Reduction via Multiple Locality-Constrained Graph Optimization,IEEE ACCESS,2018年(通讯作者) 7. Ordinal preserving matrix factorization for unsupervised feature selection,Signal Processing: Image Communication,2018年(通讯作者) 8. Unsupervised feature selection by regularized matrix factorization,NEUROCOMPUTING,2018年(通讯作者) 9. Multicriteria-Based Active Discriminative Dictionary Learning for Scene Recognition,IEEE ACCESS,2018年(通讯作者) 10. Adaptive multiple graph regularized semi-supervised extreme learning machine, Soft Computing, 2018年(通讯作者) 11. Locality constrained Graph Optimization for Dimensionality Reduction,NEUROCOMPUTING,2017年(第一作者) 12. Joint L2,1 Norm and Fisher Discrimination Constrained Feature Selection for Rational Synthesis of Microporous Aluminophosphates,Molecular Informatics,2017年(通讯作者) 13. The rational synthetic parameter analysis for subclasses of microporous aluminophosphates based on hierarchical feature selection model,MICROPOR MESOPOR MAT,2016年(通讯作者) 14. Supervised Filter Learning for Representation Based Face Recognition,PLOS ONE ,2016年(通讯作者) 15. 基于数据挖掘方法的开放骨架磷酸铝定向合成参数分析,CHINESE J INORG CHEM,2016年(通讯作者) 16. Semi-supervised local ridge regression for local matching based face recognition,NEUROCOMPUTING,2015年(通讯作者) 17. An improved locality sensitive discriminant analysis approach for feature extraction,MULTIMED TOOLS APPL,2015年(通讯作者) 18. Label propagation based semi-supervised non-negative matrix factorization for feature extraction,NEUROCOMPUTING,2015年(通讯作者) 19. Locality Constrained Joint Dynamic Sparse Representation for Local Matching based Face Recognition,PLoS ONE ,2014年(第一作者) 20. Adaptive weighted label propagation for local matching based face recognition,Lecture Notes in Computer Science,2014年(通讯作者) 21. Multiview saliency detection based on improved multimanifold ranking,J ELECTRON IMAGING,2014年(通讯作者) 22. 基于遗传编程方法的微孔磷酸铝的定向合成研究,CHEM J CHINESE U,2014年(通讯作者) 23. Structure Constrained Discriminative Non-negative Matrix Factorization for Feature Extraction,Lecture Notes in Computer Science,2014年(通讯作者) 24. A novel image retrieval method based on hybrid information descriptors,J VIS COMMUN IMAGE R,2014年 25. Face recognition using spatially smoothed discriminant structure-preserved projections,J ELECTRON IMAGING,2014年(通讯作者) 26. An Improved Feature Selection Based on Effective Range for Classification,THESCIENTIFICWORLDJO,2014年(第一作者) 27. AlPOs synthetic factor analysis based on maximum weight and minimum Redundancy Feature Selection,INT J MOL SCI,2013年(通讯作者) 28. Prediction for rational synthesis based on weighted feature selection method,Molecular Informatics,2013年 29. Feature selection as maximum-weight independent set,ICIC Express Letters,Part B:Applications,2013年(通讯作者) 30. Maximum weight and minimum redundancy: A novel framework for feature subset selection,PATTERN RECOGN,2013年(第一作者) 31. Robust and Accurate Moving Shadow Detection Based on Multiple Features Fusion,OPT LASER TECHNOL,2013年 32. Missing value estimation for database of aluminophosphate(AlPO)syntheses,MICROPOR MESOPOR MAT,2013年 33. A discrimination preserving projection approach for face recognition,2012 2nd International Conference on Computer Science and Network Technology,2012年(通讯作者) 34. A novel integrated feature selection method for the rational synthesis of microporous aluminophosphate,IND ENG CHEM RES,2012年 35. 基于内容的多模态可逆密写方法,计算机科学,2012年 36. 一种自适应基于暗通道先验的去雾方法,吉林大学学报(理学版),2012年(通讯作者) 37. Feature extraction using composite individual genetic programming: An application to mass classification,Applied Mechanics and Materials,2012年(通讯作者) 38. A semi-supervised Sparsity Discriminant analysis algorithm for feature extraction,Advanced Materials Research,2012年(通讯作者) 39. Identification of masses in digital mammogram using an optimal set of features,2011 Internaional Joint Conference of IEEE TrustCom-11/IEEE ICESS-11/FCST-11,2011年(通讯作者) 40. Multi-exposure images matching based on improved sift,ICIC Express Letters,Part B:Applications,2011年(通讯作者) 41. An Integrated Method for Breast Mass Segmentation in Digitized Mammograms,Proceedings of 2011 3rd International Conference on Advanced Computer Control(ICACC),2011年(通讯作者) 42. A structure-preserved local matching approach for face recognition,PATTERN RECOGN LETT,2011年(第一作者) 43. An adaptively weighted sub-pattern locality preserving projection for face recognition, J NETW COMPUT APPL, 2010年(第一作者) 44. Linear discriminant projection embedding based on patches alignment, IMAGE VISION COMPUT, 2010年(第一作者) 45. A modified FCM algorithm for MRI brain image segmentation using both local and non-local spatial constraints,COMPUT MED IMAG GRAP,2008年(第一作者) 46. A Modified Fuzzy Kohonen’s Competitive Learning Algorithms Incorporating Local Information for MR Image Segmentation,7th IEEE International Conference on Bioinformatics and BioEngineering(BIBE2007),2007年 47. Local-based Fuzzy Clustering Algorithm for Magnetic Resonance Brain Images Corrupted by Intensity Heterogeneity,First International Multi-Symposiums on Computer and Computational Sciences,2007年 48. A Fuzzy Kohonen’s Competitive Learning Algorithm for 3D MRI Image Segmentation,LECT NOTES CONTR INF,2006年 49. An Integrated Algorithm for MRI Brain Images Segmentation,LECT NOTES COMPUT SC,2006年 50. Segmentation of 3-D MRI Brain Images Using Information Propagation,LECT NOTES COMPUT SC,2006年 51. A novel approach for segmentation of MRI brain images,2006 IEEE Mediterranean Electrotechnical Conference,2006年 52. 一种基于规则的脑组织磁共振图像分割新方法,计算机科学,2006年 53. A MULTI-SCALE AND ADAPTIVE SPATIAL FUZZY SELF-ORGANIZING FEATURE MAP FOR MRI IMAGE SEGMENTATION,Proceeding of 2005 asia-pacific workshop on visual information processing,2005年 54. A Novel Approach for Adaptive Unsupervised Segmentation of MRI Brain Images,LECT NOTES COMPUT SC,2005年 *专利及软件著作权: 视频中运动车辆检测系统软件V1.0 2014-01-08 图像、视频互信息方法检索系统软件V1.0 2014-01-08

社会兼职

  • 吉林省图像图形学会理事
  • 中国人工智能学会会员

获奖情况

  • 1. 吉林省高校科研春苗人才,2013。
    2. “高维数据的降维及相关问题”, 吉林省科学技术奖自然科学奖,二等奖(3/6),2013。
    3. “基于流型与稀疏表示的视频分析、识别研究”, 吉林省自然科学学术成果奖,二等奖(2/2),2015。

教学信息

  • 信息技术2(Matlab程序设计基础)
    概率论与数理统计

科研信息 (数据来源:科学技术处、社会科学处)

  • 项目:
  • 1. 基于5G的智慧康养深度视频分析模型研究与系统开发,2021年
  • 2. 基于图优化模型的多视角数据维数约简技术研究,2014年
  • 3. 数字钼靶图像中的乳腺肿块计算机辅助诊断研究,吉林省科技厅,2013年
  • 4. 乳腺钼靶图像中的肿块诊断问题研究,吉林省教育厅,2013年
  • 专著:
  • 1. 基于全局与局部信息的人脸识别,科学出版社,01-3年
  • 2. 高维数据的维数约简方法及其应用,科学出版社,01-1年
  • 论文:
  • 1. Image Deblurring based on Lightweight Multi-Information Fusion Network,2021 IEEE International Conference on Image Processing (ICIP),2021年
  • 2. A Lightweight Fusion Distillation Network for Image Deblurring and Deraining,SENSORS,2021年
  • 3. Jointly Learning the Discriminative Dictionary and Projection for Face Recognition,MATH PROBL ENG,2020年
  • 4. An Intelligent Multi-View Active Learning Method Based on a Double-Branch Network,ENTROPY,2020年
  • 5. Non-Negative Matrix Factorization With Locality Constrained Adaptive Graph,IEEE T CIRC SYST VID,2020年
  • 6. Object Detection Based on Multiple Information Fusion Net,APPLIED SCIENCES-BASEL,2020年
  • 7. Low-rank graph optimization for multi-view dimensionality reduction,PLOS ONE ,2019年
  • 8. Joint graph optimization and projection learning for dimensionality reduction,PATTERN RECOGN,2019年
  • 9. Scene Recognition via Semi-Supervised Multi-Feature Regression,IEEE ACCESS,2019年
  • 10. Dimensionality Reduction via Multiple Locality-Constrained Graph Optimization,IEEE ACCESS,2018年
  • 11. Unsupervised feature selection by regularized matrix factorization,NEUROCOMPUTING,2018年
  • 12. Ordinal preserving matrix factorization for unsupervised feature selection,SIGNAL PROCESS-IMAGE,2018年
  • 13. Multicriteria-Based Active Discriminative Dictionary Learning for Scene Recognition,IEEE ACCESS,2018年
  • 14. Dimensionality Reduction via Representation and Affinity Learning,The 2017 4th International Conference on Systems and Informatics (ICSAI 2017),2017年
  • 15. Locality constrained Graph Optimization for Dimensionality Reduction,NEUROCOMPUTING,2017年
  • 16. Joint L2,1 Norm and Fisher Discrimination Constrained Feature Selection for Rational Synthesis of Microporous Aluminophosphates,Molecular Informatics,2017年
  • 17. The rational synthetic parameter analysis for subclasses of microporous aluminophosphates based on hierarchical feature selection model,MICROPOR MESOPOR MAT,2016年
  • 18. Supervised Filter Learning for Representation Based Face Recognition,PLOS ONE ,2016年
  • 19. 基于数据挖掘方法的开放骨架磷酸铝定向合成参数分析,CHINESE J INORG CHEM,2016年
  • 20. Semi-supervised local ridge regression for local matching based face recognition,NEUROCOMPUTING,2015年
  • 21. An improved locality sensitive discriminant analysis approach for feature extraction,MULTIMED TOOLS APPL,2015年
  • 22. Label propagation based semi-supervised non-negative matrix factorization for feature extraction,NEUROCOMPUTING,2015年
  • 23. Locality Constrained Joint Dynamic Sparse Representation for Local Matching based Face Recognition,PLoS ONE ,2014年
  • 24. Multiview saliency detection based on improved multimanifold ranking,J ELECTRON IMAGING,2014年
  • 25. Adaptive weighted label propagation for local matching based face recognition,Lecture Notes in Computer Science,2014年
  • 26. 基于遗传编程方法的微孔磷酸铝的定向合成研究,CHEM J CHINESE U,2014年
  • 27. Structure Constrained Discriminative Non-negative Matrix Factorization for Feature Extraction,Lecture Notes in Computer Science,2014年
  • 28. A novel image retrieval method based on hybrid information descriptors,J VIS COMMUN IMAGE R,2014年
  • 29. Face recognition using spatially smoothed discriminant structure-preserved projections,J ELECTRON IMAGING,2014年
  • 30. An Improved Feature Selection Based on Effective Range for Classification,THESCIENTIFICWORLDJO,2014年
  • 31. AlPOs synthetic factor analysis based on maximum weight and minimum Redundancy Feature Selection,INT J MOL SCI,2013年
  • 32. Prediction for rational synthesis based on weighted feature selection method,Molecular Informatics,2013年
  • 33. Feature selection as maximum-weight independent set,ICIC Express Letters,Part B:Applications,2013年
  • 34. Maximum weight and minimum redundancy: A novel framework for feature subset selection,PATTERN RECOGN,2013年
  • 35. Robust and Accurate Moving Shadow Detection Based on Multiple Features Fusion,OPT LASER TECHNOL,2013年
  • 36. Missing value estimation for database of aluminophosphate(AlPO)syntheses,MICROPOR MESOPOR MAT,2013年
  • 37. A discrimination preserving projection approach for face recognition,2012 2nd International Conference on Computer Science and Network Technology,2012年
  • 38. A novel integrated feature selection method for the rational synthesis of microporous aluminophosphate,IND ENG CHEM RES,2012年
  • 39. 基于内容的多模态可逆密写方法,计算机科学,2012年
  • 40. 一种自适应基于暗通道先验的去雾方法,吉林大学学报(理学版),2012年
  • 41. Feature extraction using composite individual genetic programming: An application to mass classification,Applied Mechanics and Materials,2012年
  • 42. A semi-supervised Sparsity Discriminant analysis algorithm for feature extraction,Advanced Materials Research,2012年
  • 43. Identification of masses in digital mammogram using an optimal set of features,2011 Internaional Joint Conference of IEEE TrustCom-11/IEEE ICESS-11/FCST-11,2011年
  • 44. Multi-exposure images matching based on improved sift,ICIC Express Letters,Part B:Applications,2011年
  • 45. An Integrated Method for Breast Mass Segmentation in Digitized Mammograms,Proceedings of 2011 3rd International Conference on Advanced Computer Control(ICACC),2011年
  • 46. A modified FCM algorithm for MRI brain image segmentation using both local and non-local spatial constraints,COMPUT MED IMAG GRAP,2008年
  • 47. A Modified Fuzzy Kohonen’s Competitive Learning Algorithms Incorporating Local Information for MR Image Segmentation,7th IEEE International Conference on Bioinformatics and BioEngineering(BIBE2007),2007年
  • 48. Local-based Fuzzy Clustering Algorithm for Magnetic Resonance Brain Images Corrupted by Intensity Heterogeneity,First International Multi-Symposiums on Computer and Computational Sciences,2007年
  • 49. Segmentation of 3-D MRI Brain Images Using Information Propagation,LECT NOTES COMPUT SC,2006年
  • 50. An Integrated Algorithm for MRI Brain Images Segmentation,LECT NOTES COMPUT SC,2006年
  • 51. A Fuzzy Kohonen’s Competitive Learning Algorithm for 3D MRI Image Segmentation,LECT NOTES CONTR INF,2006年
  • 52. A novel approach for segmentation of MRI brain images,2006 IEEE Mediterranean Electrotechnical Conference,2006年
  • 53. 一种基于规则的脑组织磁共振图像分割新方法,计算机科学,2006年
  • 54. A MULTI-SCALE AND ADAPTIVE SPATIAL FUZZY SELF-ORGANIZING FEATURE MAP FOR MRI IMAGE SEGMENTATION,Proceeding of 2005 asia-pacific workshop on visual information processing,2005年
  • 55. A Novel Approach for Adaptive Unsupervised Segmentation of MRI Brain Images,LECT NOTES COMPUT SC,2005年
  • 专利:
  • 基于局部约束的图优化维数约简方法 2018-05-11
信息维护