杜博

• 武漢大學計算機學院，教授 | 2016-至今

• 武漢大學計算機學院，副教授 | 2013.1-2016

•悉尼科技大學量子計算與智能系統中心，研究員 | 2014.10-2015.10

• 武漢大學計算機學院，講師 | 2012.7-2012.12

• 武漢大學計算機學院，博士后 | 2010.7-2012.6

Exploring Representativeness and Informativeness for Active LearningB. Du, Z. Wang, L. Zhang, etc..IEEE Transactions on Cybernetics:2015,vol. 99,pp. 1-13下載全文

A discriminative metric learning based anomaly detection methodB. Du and L. Zhang.IEEE Transactions on Geoscience and Remote Sensing:2014,vol.52,no.11,pp.6844-6857下載全文.

Stacked Convolutional Denoising Auto-Encoders for Feature RepresentationB. Du, W. Xiong, L. Zhang, etc..IEEE Transactions on Cybernetics:2016,vol. 99,pp. 1-11下載全文

Target detection based on a dynamic subspaceB. Du and L. Zhang.Pattern Recognition:2014,vol. 47, no. 1,pp.344-358下載全文

Random-Selection-Based Anomaly Detector for Hyperspectral ImageryB. Du, L. Zhang.IEEE Transactions on Geoscience and Remote Sensing:2011,vol. 49, no. 5,pp.1578-1589下載全文

Spatial Coherence Based Batch-Mode Active Learning for Remote Sensing Images ClassificationQ. Shi, B. Du, and L. Zhang.IEEE Transactions on Image Processing:2015,vol. 24,pp.2037-2050下載全文

Hyperspectral signal unmixing based on constrained non-negative matrix factorization approachB. Du, S. Wang, N. Wang, et al..Neurocomputing:2016,vol.204,pp.153–161下載全文

A spectral-spatial based local summation anomaly detection method for hyperspectral imagesB. Du, R. Zhao, L. Zhang, et al..Signal Processing:2016,vol. 124,pp.115–131下載全文

A hypothesis independent subpixel target detector for hyperspectral ImagesB. Du, Y. Zhang, and L. Zhang.Signal Processing:2015,vol. 110,pp. 244-249下載全文

Unsupervised transfer learning for target detection from hyperspectral imagesB. Du, L. Zhang, D. Tao, and D. Zhang.Neurocomputing:2013,vol. 120,pp. 72-82下載全文

A Discriminative Manifold Learning Based Dimension Reduction Method for Hyperspectral ClassificationB. Du, L. Zhang, L. Zhang, T. Chen, K. Wu.International Journal ofFuzzy Systems:2012,vol. 14, no. 2,pp, 272-277下載全文

Hyperspectral Unmixing via Double Abundance Characteristics Constraints Based NMF R. Liu, B. Du, and L. Zhang.Remote Sensing:2016,vol. 8, no. 6下載全文

A batch-mode active learning framework by querying discriminative and representative samples for hyperspectral image classificationZ. Wang, B. Du, L. Zhang, and L. Zhang.Neurocomputing:2016,vol. 179,pp. 88-100下載全文

Ensemble Manifold Regularized Sparse Low-Rank Approximation for Multiview Feature EmbeddingL Zhang, Q Zhang, L Zhang, D Tao, X Huang, B Du*.Pattern Recognition:2015,vol. 48, no. 10,pp. 3102-3112下載全文

Compression of hyperspectral remote sensing images by tensor approachL. Zhang, L. Zhang, D. Tao, X. Huang, B. Du.Neurocomputing:2015,vol. 147,pp. 358-363下載全文

Hyperspectral anomaly change detection with slow feature analysisC. Wu, L. Zhang, and B. Du.Neurocomputing:2015,vol. 151,pp. 175-187下載全文

A sparse and discriminative tensor to vector projection for human gait feature representationL. Zhang, L. Zhang, D. Tao, B. Du.Signal Processing:2015,vol. 106,pp. 245–252下載全文

Maximum margin metric learning based target detection for hyperspectral imagesY. Dong, L. Zhang, L. Zhang, B. Du.ISPRS Journal of Photogrammetry and Remote Sensing:2015,vol. 108,pp. 138–150下載全文

Endmember number estimation for hyperspectral imagery based on vertex component analysisR. Liu, B. Du, L. Zhang.Journal of Applied Remote Sensing:2014,vol. 8, no. 1,pp. 085093-085093下載全文

Hybrid Detectors Based on Selective EndmembersL. Zhang, B. Du, and Y. Zhong.IEEE Transactions on Geoscience and Remote Sensing:2010,vol. 48, no. 6,pp. 2633-2646下載全文

An Abundance Characteristic Based Independent Component Analysis for Hyperspectral UnmxingN. Wang, B. Du, L. Zhang.IEEE Transactions on Geoscience and Remote Sensing:2015,vol. 53, no. 1,pp. 416-428下載全文

A Sparse Representation-Based Binary Hypothesis Model for Target Detection in Hyperspectral ImagesY. Zhang, B. Du, and L. Zhang.IEEE Transactions on Geoscience and Remote Sensing:2015,vol. 53, no. 3,pp. 1346-1354下載全文

Efficient Compressed Sensing Tracking via Mixed Classifiers DecisionH. Sun, J. Li, J. Chang, B. Du, et al..SCIENCE CHINA Information Sciences:2015

Slow Feature Analysis for Change Detection in Multispectral ImageryC. Wu, B. Du, and L. Zhang.IEEE Transactions on Geoscience and Remote Sensing:2014,vol. 52, no. 5,pp. 2858-2874下載全文

Semisupervised Discriminative Locally Enhanced Alignment for Hyperspectral Image ClassificationQ. Shi, L. Zhang, and B. Du.IEEE Transactions on Geoscience and Remote Sensing:2013,vol. 51, no. 9,pp. 4800-4815下載全文

Automatic radiometric normalization for multitemporal remote sensing imagery with iterative slow feature analysisL. Zhang, C. Wu, and B. Du.IEEE Transactions on Geoscience and Remote Sensing:2014,vol. 52, no. 10,pp. 6141-6155下載全文

Hyperspectral Remote Sensing Image Subpixel Target Detection Based on Supervised Metric LearningL. Zhang, L. Zhang, D. Tao, X. Huang, and B. Du.IEEE Transactions on Geoscience and Remote Sensing:2014,vol. 52, no. 8,pp. 4955-4965下載全文

A Background Self-Learning Framework for Unstructured Target DetectorsT. Wang, B. Du, and L. Zhang.IEEE Geoscience and Remote Sensing Letters:2013,vol. 10, no. 6,pp. 1577-1581下載全文

A Kernel-Based Target-Constrained Interference-Minimized Filter for Hyperspectral Sub-Pixel Target DetectionT. Wang, B. Du, and L. Zhang.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing:2013,vol. 6, no. 2,pp. 626-637下載全文

An Endmember Dissimilarity Constrained Non-Negative Matrix Factorization Method for Hyperspectral UnmixingN. Wang, B. Du, and L. Zhang.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing:2013,vol. 6, no. 2,pp. 554-569下載全文

A Subspace-Based Change Detection Method for Hyperspectral ImagesC. Wu, B. Du, and L. Zhang.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing:2013,vol. 6, no. 2,pp. 815-830下載全文

Regularization Framework for Target Detection in Hyperspectral ImageryY. Zhang, B. Du, and L. Zhang.IEEE Geoscience and Remote Sensing Letters:2014,vol.11, no.1,pp. 313-317下載全文

A Robust Nonlinear Hyperspectral Anomaly Detection ApproachR. Zhao, B. Du, and L. Zhang.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing:2014,vol. 7, no. 4,pp. 1227-1234下載全文

Spatial-Spectral Information Based Abundance-Constrained Endmember Extraction MethodsM. Xu, B. Du, and L. Zhang.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing:2014,vol. 7, no. 6,pp. 2004-2015下載全文

An Automatic Robust Iteratively Reweighted Unstructured Detector for Hyperspectral ImageryT. Wang, B. Du, L. Zhang.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing:2014,vol. 7, no. 6,pp. 2367-2382下載全文

A Nonlinear Sparse Representation Based Binary Hypothesis Model for Hyperspectral Target DetectionY. Zhang, B. Du, and L. Zhang.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing:2014下載全文

An Image-Based Endmember Bundle Extraction Algorithm Using Both Spatial and Spectral InformationM. Xu, L. Zhang, and B. Du.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing:2015下載全文

Super-resolution land-cover mapping based on the selective endmember spectral mixture model in hyperspectral imageryK. Wu*, L. Zhang, R. Niu, B. Du.Optical Engineering:2011,vol.50, no.12,pp.1-14下載全文

Regional soil erosion risk mapping using RUSLE, GIS, and remote sensing: a case study in Miyun Watershed, North ChinaT. Chen, R. Niu, P. Li, L. Zhang, B. Du.Environmental Earth Sciences:2011,vol. 63, no. 3,pp. 533-541下載全文

MMFE: Multitask Multiview Feature EmbeddingQ. Zhang, L. Zhang, B. Du, et al..2015 IEEE International Conference on Data Mining (ICDM):下載全文

Impact of fractional vegetation cover change on soil erosion in Miyun reservoir basin, ChinaR. Niu, B. Du, Y. Wang, L. Zhang, and T. Chen.Environmental Earth Sciences:2014,vol. 72, no.8,pp. 2741-2749下載全文

An Image-Based Endmember Bundle Extraction Algorithm Using Reconstruction Error for Hyperspectral ImageryM. Xu, L. Zhang, B. Du, and L. Zhang.Neurocomputing:下載全文

A hybrid chaos-particle swarm optimization algorithm for the vehicle routing problem with time windowW. Hu, H. Liang, C. Peng, B. Du, and Q. Hu.Entropy:2013,vol. 15, no. 14,pp. 1247-1270下載全文

An on‐demand data broadcasting scheduling algorithm based on dynamic index strategyW. Hu*, C. Fan, J. Luo, C. Peng, and B. Du.Wireless Communications and Mobile Computing:2013,vol. 13, no. 10下載全文

A multi-intersection model and signal timing plan algorithm for urban traffic signal controlW. Hu*, H. Wang, B. Du, and L. Yan.Transport:2014,pp. 1-11下載全文

A hybrid column generation algorithm based on metaheuristic optimizationW. Hu, B. Du, Y. Wu, H. Liang, C. Peng, and Q. Hu.Transport:2013,pp. 1-19下載全文

An outer–inner fuzzy cellular automata algorithm for dynamic uncertainty multi-project scheduling problemW. Hu, H. Wang, C. Peng, H. Wang, H. Liang, and B. Du.Soft Computing:2014,pp. 1-22下載全文

Band Selection Using Improved Sparse Subspace Clustering for Hyperspectral Imagery ClassificationSun, W.; Zhang, L.; Du, B.; Li, W.; Mark Lai, Y..IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing:2015,no. 99,pp. 1–14下載全文

SCDAE: Stacked Convolutional Denoising Autoencoders towards Robust Unsuperived Feature RepresentationW. Xiong, B. Du, L Zhang, et al..2016 The Annual International Joint Conference on Neural Networks(IJCNN):

Sparse Tensor Discriminative Locality Alignment for Gait RecognitionN. Zhao, L. Zhang and B. Du,.2016 The Annual International Joint Conference on Neural Networks(IJCNN):

R2FP: rich and robust feature pooling for mining visual dataW. Xiong, B. Du, L Zhang, et al..2015 IEEE International Conference on Data Mining (ICDM):下載全文

Assessment of spatial distribution of soil loss over the upper basin of Miyun reservoir in China based on RS and GIS techniquesT. Chen*, R. Niu, Y. Wang, P. Li, L. Zhang, B. Du.Environmental Monitoring and Assessment:2011,vol. 179,pp. 605-617下載全文

Hyperspectral biological images compression based on multiway tensor projectionB. Du, M. Zhang, L. Zhang, X. Li.in 2014 IEEE International Conference on Multimedia and Expo, ICME 2014:下載全文

A Spectral Dissimilarity Constrained Nonnegative Matrix factorization based Cancer Screening Algorithm from Hyperspectral Fluorescence ImagesB. Du, N. Wang, and D. Tao.in 2012 International Conference on Computerized Healthcare (ICCH 2012):下載全文

Hyperspectral medical images unmixing for cancer screening based on rotational independent component analysisB. Du, N. Wang, and D. Tao.in International Conference on Intelligence Science and Big Data Engineering (IScIDE 2013):下載全文

A Manifold Learning based Feature Extraction Method for Hyperspectral ClassificationB. Du, L. Zhang, and L. Zhang.in Second International Conference on Information Science and Technology, vol. ISSU:2012下載全文

A structured sub-pixel target detection method base on manifold learning methodB. Du, D. Zhang, P. Li, T. Chen, and K. Wu.Proc. SPIE 8002, MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis:下載全文

An Unstructured Sub-pixel Target Detector for Hyperspectral ImageryB. Du, K. Wu, L. Zhang, and T. Chen.in 2010 International Conference on Computer Application and System Modeling:下載全文

Robust Metric based Anomaly Detection in Kernel Feature SpaceB. Du, and L. Zhang.in XXII Congress of the International Society for Photogrammetry and Remote Sensing (ISPRS 2012):下載全文

An novel active learning strategy for hyperspectral image classificationQ. Shi, B. Du and L. Zhang.in 4th IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: evolution in remote sensing (WHISPERS 2012):下載全文

Targeted Change Detection For Stacked Multi-Temporal Hyperspectral ImageC. Wu, L. Zhang and B. Du.in 4th IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: evolution in remote sensing (WHISPERS 2012):下載全文

An Endmember Dissimilarity Based Non-negative Matrix Factorization Method for Hyperspectral UnmixingN. Wang, L. Zhang and B. Du.in 4th IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: evolution in remote sensing (WHISPERS 2012):下載全文

An endmember extraction framework based on abundance constraintM. Xu, L. Zhang and B. Du.in 4th IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: evolution in remote sensing (WHISPERS 2012):下載全文

1.

Exploring Representativeness and Informativeness for Active LearningB. Du, Z. Wang, L. Zhang, etc..IEEE Transactions on Cybernetics:2015,vol. 99,pp. 1-13下載全文

2.

A discriminative metric learning based anomaly detection methodB. Du and L. Zhang.IEEE Transactions on Geoscience and Remote Sensing:2014,vol.52,no.11,pp.6844-6857下載全文.

3.

Stacked Convolutional Denoising Auto-Encoders for Feature RepresentationB. Du, W. Xiong, L. Zhang, etc..IEEE Transactions on Cybernetics:2016,vol. 99,pp. 1-11下載全文

4.

Target detection based on a dynamic subspaceB. Du and L. Zhang.Pattern Recognition:2014,vol. 47, no. 1,pp.344-358下載全文

5.

Random-Selection-Based Anomaly Detector for Hyperspectral ImageryB. Du, L. Zhang.IEEE Transactions on Geoscience and Remote Sensing:2011,vol. 49, no. 5,pp.1578-1589下載全文

6.

Spatial Coherence Based Batch-Mode Active Learning for Remote Sensing Images ClassificationQ. Shi, B. Du, and L. Zhang.IEEE Transactions on Image Processing:2015,vol. 24,pp.2037-2050下載全文

7.

Hyperspectral signal unmixing based on constrained non-negative matrix factorization approachB. Du, S. Wang, N. Wang, et al..Neurocomputing:2016,vol.204,pp.153–161下載全文

8.

A spectral-spatial based local summation anomaly detection method for hyperspectral imagesB. Du, R. Zhao, L. Zhang, et al..Signal Processing:2016,vol. 124,pp.115–131下載全文

9.

A hypothesis independent subpixel target detector for hyperspectral ImagesB. Du, Y. Zhang, and L. Zhang.Signal Processing:2015,vol. 110,pp. 244-249下載全文

10.

Unsupervised transfer learning for target detection from hyperspectral imagesB. Du, L. Zhang, D. Tao, and D. Zhang.Neurocomputing:2013,vol. 120,pp. 72-82下載全文

11.

A Discriminative Manifold Learning Based Dimension Reduction Method for Hyperspectral ClassificationB. Du, L. Zhang, L. Zhang, T. Chen, K. Wu.International Journal of Fuzzy Systems:2012,vol. 14, no. 2,pp, 272-277下載全文

12.

Hyperspectral Unmixing via Double Abundance Characteristics Constraints Based NMF R. Liu, B. Du, and L. Zhang.Remote Sensing:2016,vol. 8, no. 6下載全文

13.

A batch-mode active learning framework by querying discriminative and representative samples for hyperspectral image classificationZ. Wang, B. Du, L. Zhang, and L. Zhang.Neurocomputing:2016,vol. 179,pp. 88-100下載全文

14.

Ensemble Manifold Regularized Sparse Low-Rank Approximation for Multiview Feature EmbeddingL Zhang, Q Zhang, L Zhang, D Tao, X Huang, B Du*.Pattern Recognition:2015,vol. 48, no. 10,pp. 3102-3112下載全文

15.

Compression of hyperspectral remote sensing images by tensor approachL. Zhang, L. Zhang, D. Tao, X. Huang, B. Du.Neurocomputing:2015,vol. 147,pp. 358-363下載全文

16.

Hyperspectral anomaly change detection with slow feature analysisC. Wu, L. Zhang, and B. Du.Neurocomputing:2015,vol. 151,pp. 175-187下載全文

17.

A sparse and discriminative tensor to vector projection for human gait feature representationL. Zhang, L. Zhang, D. Tao, B. Du.Signal Processing:2015,vol. 106,pp. 245–252下載全文

18.

Maximum margin metric learning based target detection for hyperspectral imagesY. Dong, L. Zhang, L. Zhang, B. Du.ISPRS Journal of Photogrammetry and Remote Sensing:2015,vol. 108,pp. 138–150下載全文

19.

Endmember number estimation for hyperspectral imagery based on vertex component analysisR. Liu, B. Du, L. Zhang.Journal of Applied Remote Sensing:2014,vol. 8, no. 1,pp. 085093-085093下載全文

20.

Hybrid Detectors Based on Selective EndmembersL. Zhang, B. Du, and Y. Zhong.IEEE Transactions on Geoscience and Remote Sensing:2010,vol. 48, no. 6,pp. 2633-2646下載全文

21.

An Abundance Characteristic Based Independent Component Analysis for Hyperspectral UnmxingN. Wang, B. Du, L. Zhang.IEEE Transactions on Geoscience and Remote Sensing:2015,vol. 53, no. 1,pp. 416-428下載全文

22.

A Sparse Representation-Based Binary Hypothesis Model for Target Detection in Hyperspectral ImagesY. Zhang, B. Du, and L. Zhang.IEEE Transactions on Geoscience and Remote Sensing:2015,vol. 53, no. 3,pp. 1346-1354下載全文

23.

Efficient Compressed Sensing Tracking via Mixed Classifiers DecisionH. Sun, J. Li, J. Chang, B. Du, et al..SCIENCE CHINA Information Sciences:2015

24.

Slow Feature Analysis for Change Detection in Multispectral ImageryC. Wu, B. Du, and L. Zhang.IEEE Transactions on Geoscience and Remote Sensing:2014,vol. 52, no. 5,pp. 2858-2874下載全文

25.

Semisupervised Discriminative Locally Enhanced Alignment for Hyperspectral Image ClassificationQ. Shi, L. Zhang, and B. Du.IEEE Transactions on Geoscience and Remote Sensing:2013,vol. 51, no. 9,pp. 4800-4815下載全文

26.

Automatic radiometric normalization for multitemporal remote sensing imagery with iterative slow feature analysisL. Zhang, C. Wu, and B. Du.IEEE Transactions on Geoscience and Remote Sensing:2014,vol. 52, no. 10,pp. 6141-6155下載全文

27.

Hyperspectral Remote Sensing Image Subpixel Target Detection Based on Supervised Metric LearningL. Zhang, L. Zhang, D. Tao, X. Huang, and B. Du.IEEE Transactions on Geoscience and Remote Sensing:2014,vol. 52, no. 8,pp. 4955-4965下載全文

28.

A Background Self-Learning Framework for Unstructured Target DetectorsT. Wang, B. Du, and L. Zhang.IEEE Geoscience and Remote Sensing Letters:2013,vol. 10, no. 6,pp. 1577-1581下載全文

29.

A Kernel-Based Target-Constrained Interference-Minimized Filter for Hyperspectral Sub-Pixel Target DetectionT. Wang, B. Du, and L. Zhang.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing:2013,vol. 6, no. 2,pp. 626-637下載全文

30.

An Endmember Dissimilarity Constrained Non-Negative Matrix Factorization Method for Hyperspectral UnmixingN. Wang, B. Du, and L. Zhang.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing:2013,vol. 6, no. 2,pp. 554-569下載全文

31.

A Subspace-Based Change Detection Method for Hyperspectral ImagesC. Wu, B. Du, and L. Zhang.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing:2013,vol. 6, no. 2,pp. 815-830下載全文

32.

Regularization Framework for Target Detection in Hyperspectral ImageryY. Zhang, B. Du, and L. Zhang.IEEE Geoscience and Remote Sensing Letters:2014,vol.11, no.1,pp. 313-317下載全文

33.

A Robust Nonlinear Hyperspectral Anomaly Detection ApproachR. Zhao, B. Du, and L. Zhang.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing:2014,vol. 7, no. 4,pp. 1227-1234下載全文

34.

Spatial-Spectral Information Based Abundance-Constrained Endmember Extraction MethodsM. Xu, B. Du, and L. Zhang.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing:2014,vol. 7, no. 6,pp. 2004-2015下載全文

35.

An Automatic Robust Iteratively Reweighted Unstructured Detector for Hyperspectral ImageryT. Wang, B. Du, L. Zhang.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing:2014,vol. 7, no. 6,pp. 2367-2382下載全文

36.

A Nonlinear Sparse Representation Based Binary Hypothesis Model for Hyperspectral Target DetectionY. Zhang, B. Du, and L. Zhang.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing:2014下載全文

37.

An Image-Based Endmember Bundle Extraction Algorithm Using Both Spatial and Spectral InformationM. Xu, L. Zhang, and B. Du.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing:2015下載全文

38.

Super-resolution land-cover mapping based on the selective endmember spectral mixture model in hyperspectral imageryK. Wu*, L. Zhang, R. Niu, B. Du.Optical Engineering:2011,vol.50, no.12,pp.1-14下載全文

39.

Regional soil erosion risk mapping using RUSLE, GIS, and remote sensing: a case study in Miyun Watershed, North ChinaT. Chen, R. Niu, P. Li, L. Zhang, B. Du.Environmental Earth Sciences:2011,vol. 63, no. 3,pp. 533-541下載全文

40.

MMFE: Multitask Multiview Feature EmbeddingQ. Zhang, L. Zhang, B. Du, et al..2015 IEEE International Conference on Data Mining (ICDM):下載全文

41.

Impact of fractional vegetation cover change on soil erosion in Miyun reservoir basin, ChinaR. Niu, B. Du, Y. Wang, L. Zhang, and T. Chen.Environmental Earth Sciences:2014,vol. 72, no.8,pp. 2741-2749下載全文

42.

An Image-Based Endmember Bundle Extraction Algorithm Using Reconstruction Error for Hyperspectral ImageryM. Xu, L. Zhang, B. Du, and L. Zhang.Neurocomputing:下載全文

43.

A hybrid chaos-particle swarm optimization algorithm for the vehicle routing problem with time windowW. Hu, H. Liang, C. Peng, B. Du, and Q. Hu.Entropy:2013,vol. 15, no. 14,pp. 1247-1270下載全文

44.

An on‐demand data broadcasting scheduling algorithm based on dynamic index strategyW. Hu*, C. Fan, J. Luo, C. Peng, and B. Du.Wireless Communications and Mobile Computing:2013,vol. 13, no. 10下載全文

45.

A multi-intersection model and signal timing plan algorithm for urban traffic signal controlW. Hu*, H. Wang, B. Du, and L. Yan.Transport:2014,pp. 1-11下載全文

46.

A hybrid column generation algorithm based on metaheuristic optimizationW. Hu, B. Du, Y. Wu, H. Liang, C. Peng, and Q. Hu.Transport:2013,pp. 1-19下載全文

47.

An outer–inner fuzzy cellular automata algorithm for dynamic uncertainty multi-project scheduling problemW. Hu, H. Wang, C. Peng, H. Wang, H. Liang, and B. Du.Soft Computing:2014,pp. 1-22下載全文

48.

Band Selection Using Improved Sparse Subspace Clustering for Hyperspectral Imagery ClassificationSun, W.; Zhang, L.; Du, B.; Li, W.; Mark Lai, Y..IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing:2015,no. 99,pp. 1–14下載全文

49.

SCDAE: Stacked Convolutional Denoising Autoencoders towards Robust Unsuperived Feature RepresentationW. Xiong, B. Du, L Zhang, et al..2016 The Annual International Joint Conference on Neural Networks(IJCNN):

50.

Sparse Tensor Discriminative Locality Alignment for Gait RecognitionN. Zhao, L. Zhang and B. Du,.2016 The Annual International Joint Conference on Neural Networks(IJCNN):

51.

R2FP: rich and robust feature pooling for mining visual dataW. Xiong, B. Du, L Zhang, et al..2015 IEEE International Conference on Data Mining (ICDM):下載全文

52.

Assessment of spatial distribution of soil loss over the upper basin of Miyun reservoir in China based on RS and GIS techniquesT. Chen*, R. Niu, Y. Wang, P. Li, L. Zhang, B. Du.Environmental Monitoring and Assessment:2011,vol. 179,pp. 605-617下載全文

53.

Hyperspectral biological images compression based on multiway tensor projectionB. Du, M. Zhang, L. Zhang, X. Li.in 2014 IEEE International Conference on Multimedia and Expo, ICME 2014:下載全文

54.

A Spectral Dissimilarity Constrained Nonnegative Matrix factorization based Cancer Screening Algorithm from Hyperspectral Fluorescence ImagesB. Du, N. Wang, and D. Tao.in 2012 International Conference on Computerized Healthcare (ICCH 2012):下載全文

55.

Hyperspectral medical images unmixing for cancer screening based on rotational independent component analysisB. Du, N. Wang, and D. Tao.in International Conference on Intelligence Science and Big Data Engineering (IScIDE 2013):下載全文

56.

A Manifold Learning based Feature Extraction Method for Hyperspectral ClassificationB. Du, L. Zhang, and L. Zhang.in Second International Conference on Information Science and Technology, vol. ISSU:2012下載全文

57.

A structured sub-pixel target detection method base on manifold learning methodB. Du, D. Zhang, P. Li, T. Chen, and K. Wu.Proc. SPIE 8002, MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis:下載全文

58.

An Unstructured Sub-pixel Target Detector for Hyperspectral ImageryB. Du, K. Wu, L. Zhang, and T. Chen.in 2010 International Conference on Computer Application and System Modeling:下載全文

59.

Robust Metric based Anomaly Detection in Kernel Feature SpaceB. Du, and L. Zhang.in XXII Congress of the International Society for Photogrammetry and Remote Sensing (ISPRS 2012):下載全文

60.

An novel active learning strategy for hyperspectral image classificationQ. Shi, B. Du and L. Zhang.in 4th IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: evolution in remote sensing (WHISPERS 2012):下載全文

61.

Targeted Change Detection For Stacked Multi-Temporal Hyperspectral ImageC. Wu, L. Zhang and B. Du.in 4th IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: evolution in remote sensing (WHISPERS 2012):下載全文

62.

An Endmember Dissimilarity Based Non-negative Matrix Factorization Method for Hyperspectral UnmixingN. Wang, L. Zhang and B. Du.in 4th IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: evolution in remote sensing (WHISPERS 2012):下載全文

63.

An endmember extraction framework based on abundance constraintM. Xu, L. Zhang and B. Du.in 4th IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: evolution in remote sensing (WHISPERS 2012):下載全文

科研工作

Programs: (近年來承擔的部分課題)

國家“973”項目子課題“高解析度數據精處理和空間信息智能轉化的理論與方法”，2012-2015，主持。

國家自然科學基金面上項目， “稀疏表達和跨領域學習的高光譜遙感圖像亞像元目標探測研究”，2015-2018，主持。

國家自然科學基金重點項目，“數據驅動的高光譜遙感影像特徵表達、遷移學習及其在城市地理信息提取中的應用”，2015-2018，副組長。

國家自然科學基金青年基金項目，“端元可變的高光譜圖像亞像元目標探測研究”，2011-2014，主持。

湖北省自然科學基金“基於熒光圖像模式識別的早期癌變區域探測研究”，2015-2016，主持。

中央高校基本科研業務費學科交叉項目“模式識別理論與癌變細胞診斷”，2014-2015，主持。

珞珈青年學者專項基金“模式識別理論與計算機視覺研究”，2013-2015，主持。

中國博士后科學基金“基於多特徵和優化融合的高光譜影像異常目標探測研究”，2010-2012，主持。

中國博士后特別資助“基於多探測器優化融合高光譜影像林火探測研究”，2012-2014，主持。

中國科學院數字地球重點實驗室開放基金“基於流形學習模型的圖像亞像元目標探測研究”，2010-2011，主持。

湖北省自然科學基金“基於多探測器優化融合的高光譜圖像異常目標探測研究”，2011-2012，主持。

湖北省博士后科技活動基金“基於優化融合的林區火情檢測方法研究”，2012-2013，主持。

中央高校基本科研業務費專項資金“亞像元目標探測研究”，2010-2011，主持。

國防科大外協高分專項“圖像目標探測與分類技術”，2013-2014，主持。

國家海洋局海洋專項“極端大風、降水下海洋生態環境響應的綜合影響評估方法研究及准業務化決策支持系統”， 2012-2014，主持。

國家自然科學基金重點項目“多源高解析度衛星影像的幾何精處理、特徵提取與智能化分類”，2010-2014，參與。

國家自然科學基金面上項目，“遙感影像大範圍地表信息缺失區域的修復理論與方法研究”，2013-2016，參與。

國家高技術研究發展計劃（863），“高光譜遙感影像的光譜分解、目標探測與定位技術研究”， 2009-2010.12，副組長。

總參XX項目“光學圖像地物要素智能化提取技術”，2011-2013，參與。

國家“973”項目子課題“空天地一體化對地觀測感測網的理論與方法—面向任務的對地觀測感測網信息聚焦服務模型”， 2010-2012，參與。

專利：

一種高光譜遙感影像異常探測方法（專利獲批號：201010130302，專利已經成功轉讓。）

一種慢特徵分析的高光譜影像變化檢測方法（專利號：201310689353.2）

獲獎：

2015年ACM-HBCS學術新星獎

2015年IEEE Senior Member

2015年湖北省自然科學優秀論文獎

2014年The 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems國際大會分會場主席

2013年 武漢大學“珞珈青年學者”

2013年 湖北省自然科學優秀論文獎

2012年 擔任 IEEE Workshop on HyperspectralImage and Signal Processing: Evolution and Remote Sensing 的 Session Chair (“IEEE 分會場主席”)

2011年 IEEE BEST REVIEWER (“IEEE 最佳審稿人”)

2010年 武漢大學優秀團員

2010年 武漢大學優秀博士科研成果展

2009年 全國測繪學科博士論壇優秀論文獎

張良培，杜博，張樂飛，《高光譜遙感圖像處理》科學出版社，2013.

1. The12th International Joint Conference on Computer Vision, Imaging and ComputerGraphics Theory and Application (VISIGRAPP 2017)國際會議，程序委員會委員

2. The11th International Joint Conference on Computer Vision, Imaging and ComputerGraphics Theory and Application (VISIGRAPP 2016)國際會議，程序委員會委員

3. 2015International Conference on Fuzzy System and Data Mining（FSDM2015）國際會議，組委會成員

4. The 19th Asia Pacific Symposiumon Intelligent and Evolutionary Systems (IES 2015)國際會議，組委會成員

5. The 18th Asia Pacific Symposiumon Intelligent and Evolutionary Systems (IES 2014)國際會議，分會主席

6. IEEEWorkshop on Hyperspectral Image and Signal Processing: Evolution in RemoteSensing (WHISPERS 2014)國際會議，組委會成員

7. IEEEWorkshop on Hyperspectral Image and Signal Processing: Evolution in RemoteSensing (WHISPERS 2012)國際會議，分會主席

8. 圖像處理領域權威期刊“IEEETrans. Image Process”、 “IEEETrans. Signal Process” 、“IEEETrans. Geosci. Remote Sens.”等近20個國際學術刊物和《計算機學報》、《軟體學報》、《中國圖象圖形學報》、《光子學報》等10個國內核心學術期刊審稿人

PROFESSIONAL SERVICE

• Journal Reviewing:IEEETransactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing, IEEE Transactions on SignalProcessing, IEEE Transactions on MedicalImaging, IEEE Transactions on Cybernetics,IEEE Journal of Selected Topics in Applied Earth Observations and RemoteSensing, IEEE Geoscience and Remote Sensing Letters, IEEE Signal Processing Letters, InformationSciences, Pattern Recognition,Signal Processing,Neurocomputing.

• Conference Reviewing:IEEE CHINASIG 2014, IEEE WHISPERS 2011,2012, 2013, 2014, IES2014, IEEE ICME 2015, IEEE ICMD 2015, IJCNN 2016

博士生

張帆 (2+3碩博連讀) 2012級 趙銳 (2+3碩博連讀) 2012級

董燕妮 (2+3碩博連讀) 2012級 劉蓉 (1+4直博) 2013級

王增茂 2016級博士生 李雪 (1+4直博) 2015級

碩士生

熊維 2014級保送生 朱曉傑 2014級碩士生

孫雨佳 2014級碩士生 章夢飛 2014級保送生

李萬 2015級碩士生 黃志強 2015級碩士生

唐新瑤 2015級碩士生 朱其奎 2015級碩士生

本科生

宋俍辰、常世楨、鍾永健、徐永浩、張禕銘 2016級（保送生）

畢業生去向

張玉香2016屆博士畢業生：中國地質大學 特聘副教授

許明明2016屆博士畢業生：中國石油大學 博士后

林煜坤 2016級畢業生：中國科學院 讀博

熊紹龍 2016級碩士生：廣州工作

石茜2015屆博士畢業生：中山大學 博士后

武辰 2015屆博士畢業生：武漢大學 博士后

王挺 2014屆博士畢業生：香港中文大學 助理研究員，博士后

王楠 2014屆博士畢業生：中國科學院遙感與數字地球研究所 助理研究員