Lefei Zhang

发表

Robust Graph-Based Semisupervised Learning for Noisy Labeled Data via Maximum Correntropy Criterion

Bo Du, Dacheng Tao, Tang Xinyao, 2019, IEEE Transactions on Cybernetics.

Local decision maximum margin metric learning for hyperspectral target detection

Bo Du, Liangpei Zhang, Lefei Zhang, 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Leveraging Ratings and Reviews with Gating Mechanism for Recommendation

Bo Du, Zengmao Wang, Lefei Zhang, 2019, CIKM.

E3SN: Efficient End-to-End Siamese Network for Video Object Segmentation

Meng Lan, Yipeng Zhang, Lefei Zhang, 2020, IJCAI.

Exploring Representativeness and Informativeness for Active Learning

Wei Liu, Bo Du, Liangpei Zhang, 2019, IEEE Transactions on Cybernetics.

Independent Feature and Label Components for Multi-label Classification

Bo Du, Chang Xu, Lefei Zhang, 2018, 2018 IEEE International Conference on Data Mining (ICDM).

Can We Track Targets From Space? A Hybrid Kernel Correlation Filter Tracker for Satellite Video

Bo Du, Lefei Zhang, Chen Wu, 2019, IEEE Transactions on Geoscience and Remote Sensing.

Discriminant Spatial-Spectral Hypergraph Learning for Hyperspectral Image Classification

Bo Du, Liangpei Zhang, Lefei Zhang, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

Locally Weighted Discriminant Analysis for Hyperspectral Image Classification

Jane You, Xiaoyan Li, Lefei Zhang, 2019, Remote. Sens..

Pseudo Supervised Matrix Factorization in Discriminative Subspace

Bo Du, Dapeng Tao, Jiaqi Ma, 2019, IJCAI.

Adaptive Manifold Regularized Matrix Factorization for Data Clustering

Jane You, Bo Du, Dacheng Tao, 2017, IJCAI.

Multiview clustering based on Robust and Regularized Matrix Approximation

Jane You, Bo Du, Lefei Zhang, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Nonnegative discriminative manifold learning for hyperspectral data dimension reduction

Bo Du, Liangpei Zhang, Dacheng Tao, 2013, 2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Nonlocal Patch Based t-SVD for Image Inpainting: Algorithm and Error Analysis

Xuelong Li, Bo Du, Liangpei Zhang, 2018, AAAI.

R-SVM+: Robust Learning with Privileged Information

Bo Du, Dacheng Tao, Xue Li, 2018, IJCAI.

LAM3L: Locally adaptive maximum margin metric learning for visual data classification

Bo Du, Liangpei Zhang, Dacheng Tao, 2017, Neurocomputing.

Multi-label Active Learning Based on Maximum Correntropy Criterion: Towards Robust and Discriminative Labeling

Bo Du, Liangpei Zhang, Dacheng Tao, 2016, ECCV.

Hierarchical feature learning with dropout k-means for hyperspectral image classification

Fan Zhang, Bo Du, Liangpei Zhang, 2016, Neurocomputing.

TLR: Transfer Latent Representation for Unsupervised Domain Adaptation

Xuelong Li, Bo Du, Ruimin Hu, 2018, 2018 IEEE International Conference on Multimedia and Expo (ICME).

A hypothesis independent subpixel target detector for hyperspectral Images

Bo Du, Liangpei Zhang, Lefei Zhang, 2015, Signal Process..

Combining local and global: Rich and robust feature pooling for visual recognition

Wei Xiong, Bo Du, Dacheng Tao, 2017, Pattern Recognit..

Quality improvement of hyperspectral remote sensing images: A technical overview

Liangpei Zhang, Huifang Li, Hongyan Zhang, 2016, 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Domain Transfer Learning for Hyperspectral Image Super-Resolution

Jane You, Xiaoyan Li, Lefei Zhang, 2019, Remote. Sens..

A Novel Semisupervised Active-Learning Algorithm for Hyperspectral Image Classification

Bo Du, Liangpei Zhang, Xiuping Jia, 2017, IEEE Transactions on Geoscience and Remote Sensing.

A K-L divergence constrained sparse NMF for hyperspectral signal unmixing

Bo Du, Dacheng Tao, Nan Wang, 2014, Proceedings 2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics (SPAC).

The linear mixed model constrained particle swarm optimization for hyperspectral endmember extraction from highly mixed data

Bo Du, Liangpei Zhang, Lefei Zhang, 2016, 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Incorporating Distribution Matching into Uncertainty for Multiple Kernel Active Learning

Bo Du, Dacheng Tao, Weiping Tu, 2021, IEEE Transactions on Knowledge and Data Engineering.

Learning From Synthetic Images via Active Pseudo-Labeling

Xinggang Wang, Qian Zhang, Bo Du, 2020, IEEE Transactions on Image Processing.

Multi-class active learning: A hybrid informative and representative criterion inspired approach

Bo Du, Zengmao Wang, Lefei Zhang, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Hyperspectral Remote Sensing Image Subpixel Target Detection Based on Supervised Metric Learning

Bo Du, Liangpei Zhang, Dacheng Tao, 2014, IEEE Transactions on Geoscience and Remote Sensing.

Support tensor machine with local pixel neighborhood for hyperspectral image classification

Liangpei Zhang, Xin Huang, Lefei Zhang, 2014, 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Stacked Convolutional Denoising Auto-Encoders for Feature Representation

Wei Xiong, Bo Du, Liangpei Zhang, 2017, IEEE Transactions on Cybernetics.

On combining active and transfer learning for medical data classification

Bo Du, Zengmao Wang, Lefei Zhang, 2019, IET Comput. Vis..

A robust dimensionality reduction and matrix factorization framework for data clustering

Bo Du, Lefei Zhang, Ruyue Li, 2019, Pattern Recognit. Lett..

MUSICAL: Multi-Scale Image Contextual Attention Learning for Inpainting

Bo Du, Jingyuan Li, Lefei Zhang, 2019, IJCAI.

Detection of river ice using relevance vector machine

Lefei Zhang, Zheng Zhou, Liangming Liu, 2011, 2011 International Conference on Image Analysis and Signal Processing.

Exploring Locally Adaptive Dimensionality Reduction for Hyperspectral Image Classification: A Maximum Margin Metric Learning Aspect

Bo Du, Liangpei Zhang, Lefei Zhang, 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Robust face alignment by cascaded regression and de-occlusion

Bo Du, Zhihui Lai, Lefei Zhang, 2019, Neural Networks.

Dimensionality Reduction With Enhanced Hybrid-Graph Discriminant Learning for Hyperspectral Image Classification

Bo Du, Liangpei Zhang, Lefei Zhang, 2020, IEEE Transactions on Geoscience and Remote Sensing.

Compression of hyperspectral remote sensing images by tensor approach

Bo Du, Liangpei Zhang, Dacheng Tao, 2015, Neurocomputing.

Stochastic Decorrelation Constraint Regularized Auto-Encoder for Visual Recognition

Wei Xiong, Bo Du, Lefei Zhang, 2017, MMM.

MSDH: Matched subspace detector with heterogeneous noise

Lianru Gao, Xiaochen Yang, Jing-Hao Xue, 2019, Pattern Recognit. Lett..

Batch Mode Active Learning for Geographical Image Classification

Wenbin Hu, Bo Du, Liangpei Zhang, 2015, APWeb.

Weiwei Sun, Liangpei Zhang, Lefei Zhang, 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

A quantum-behaved particle swarm optimization for hyperspectral endmember extraction

Bo Du, Liangpei Zhang, Lefei Zhang, 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

A method for object identification in multispectral image based on tensor approach

Bo Du, Liangpei Zhang, Xin Huang, 2012, 2012 4th Workshop on Hyperspectral Image and Signal Processing (WHISPERS).

Discriminative subspace matrix factorization for multiview data clustering

Yipeng Zhang, Lefei Zhang, Jiaqi Ma, 2021, Pattern Recognit..

Robust and Discriminative Labeling for Multi-Label Active Learning Based on Maximum Correntropy Criterion

Bo Du, Liangpei Zhang, Dacheng Tao, 2017, IEEE Transactions on Image Processing.

Adaptive Laplacian Eigenmap-Based Dimension Reduction for Ocean Target Discrimination

Dan Wu, Lei Shi, Lingli Zhao, 2016, IEEE Geoscience and Remote Sensing Letters.

Local Patch Discriminative Metric Learning for Hyperspectral Image Feature Extraction

Yuan Tian, Yiping Yang, Lefei Zhang, 2014, IEEE Geoscience and Remote Sensing Letters.

Multistage attention network for image inpainting

Ning Wang, Yipeng Zhang, Jingyuan Li, 2020, Pattern Recognit..

Accelerated Inference Framework of Sparse Neural Network Based on Nested Bitmask Structure

Bo Du, Yong Dou, Yipeng Zhang, 2019, IJCAI.

Correntropy-based robust joint sparse representation for hyperspectral image classification

Jiangtao Peng, Lefei Zhang, 2016, 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Recurrent Feature Reasoning for Image Inpainting

Dacheng Tao, Jingyuan Li, Bo Du, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Fast Spatio-Temporal Residual Network for Video Super-Resolution

Bo Du, Dacheng Tao, Sheng Li, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Simultaneous Spectral-Spatial Feature Selection and Extraction for Hyperspectral Images

Yuan Yan Tang, Bo Du, Dacheng Tao, 2019, IEEE Transactions on Cybernetics.

MMFE: Multitask Multiview Feature Embedding

Bo Du, Dacheng Tao, Qian Zhang, 2015, 2015 IEEE International Conference on Data Mining.

A Study Of Wavelet Kernel In Support Vector Regression

Lefei Zhang, Fengqing Han, Lefei Zhang, 2010, Intell. Autom. Soft Comput..

Hyperspectral Image Classification Based on Two-Stage Subspace Projection

Jane You, Xiaoyan Li, Lefei Zhang, 2018, Remote. Sens..

Tensor Representation and Manifold Learning Methods for Remote Sensing Images pdf

Lefei Zhang, 2014, ArXiv.

A Multifeature Tensor for Remote-Sensing Target Recognition

Liangpei Zhang, Dacheng Tao, Xin Huang, 2011, IEEE Geoscience and Remote Sensing Letters.

A sparse and discriminative tensor to vector projection for human gait feature representation

Bo Du, Liangpei Zhang, Dacheng Tao, 2015, Signal Process..

Sparse Transfer Manifold Embedding for Hyperspectral Target Detection

Liangpei Zhang, Dacheng Tao, Xin Huang, 2014, IEEE Transactions on Geoscience and Remote Sensing.

Beyond Background Feature Extraction: An Anomaly Detection Algorithm Inspired by Slowly Varying Signal Analysis

Bo Du, Liangpei Zhang, Lefei Zhang, 2016, IEEE Transactions on Geoscience and Remote Sensing.

Sparse tensor discriminative locality alignment for gait recognition

Jane You, Bo Du, Liangpei Zhang, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Hyperspectral biological images compression based on multiway tensor projection

Xuelong Li, Bo Du, Lefei Zhang, 2014, 2014 IEEE International Conference on Multimedia and Expo (ICME).

On Gleaning Knowledge from Multiple Domains for Active Learning

Bo Du, Liangpei Zhang, Ruimin Hu, 2017, IJCAI.

GPU Parallel Implementation of Isometric Mapping for Hyperspectral Classification

Bo Du, Liangpei Zhang, Wan Li, 2017, IEEE Geoscience and Remote Sensing Letters.

Ensemble manifold regularized sparse low-rank approximation for multiview feature embedding

Bo Du, Liangpei Zhang, Dacheng Tao, 2015, Pattern Recognit..

Self-Representative Manifold Concept Factorization with Adaptive Neighbors for Clustering

Xuelong Li, Wenbin Hu, Jia Wu, 2018, IJCAI.

A novel co-training approach for urban land cover mapping with unclear Landsat time series imagery

Xin Huang, Lefei Zhang, Jiayi Li, 2018, Remote Sensing of Environment.

PLTD: Patch-Based Low-Rank Tensor Decomposition for Hyperspectral Images

Bo Du, Ruimin Hu, Dacheng Tao, 2017, IEEE Transactions on Multimedia.

Robust Manifold Matrix Factorization for Joint Clustering and Feature Extraction

Jane You, Bo Du, Dacheng Tao, 2017, AAAI.

Tensor Discriminative Locality Alignment for Hyperspectral Image Spectral–Spatial Feature Extraction

Liangpei Zhang, Dacheng Tao, Xin Huang, 2013, IEEE Transactions on Geoscience and Remote Sensing.

Joint Collaborative Representation With Multitask Learning for Hyperspectral Image Classification

Liangpei Zhang, Xin Huang, Hongyan Zhang, 2014, IEEE Transactions on Geoscience and Remote Sensing.

Real-time tracking based on weighted compressive tracking and a cognitive memory model

Bo Du, Liangpei Zhang, Chen Wu, 2017, Signal Process..

Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation

Bo Du, Qian Zhang, Lefei Zhang, 2019, AAAI.

On Combining Multiple Features for Hyperspectral Remote Sensing Image Classification

Liangpei Zhang, Dacheng Tao, Xin Huang, 2012, IEEE Transactions on Geoscience and Remote Sensing.

Robust Dual Clustering with Adaptive Manifold Regularization

Jane You, Bo Du, Dacheng Tao, 2017, IEEE Transactions on Knowledge and Data Engineering.

Global context based automatic road segmentation via dilated convolutional neural network

Meng Lan, Yipeng Zhang, Bo Du, 2020, Inf. Sci..

A spectral-spatial based local summation anomaly detection method for hyperspectral images

Bo Du, Liangpei Zhang, Lefei Zhang, 2016, Signal Process..

Transferable heterogeneous feature subspace learning for JPEG mismatched steganalysis

Lefei Zhang, Yanzhen Ren, Lina Wang, 2020, Pattern Recognit..

Regularizing Deep Convolutional Neural Networks with a Structured Decorrelation Constraint

Wei Xiong, Bo Du, Ruimin Hu, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

A spectral clustering based method for hyperspectral urban image

Jane You, Lefei Zhang, 2017, 2017 Joint Urban Remote Sensing Event (JURSE).

Hyperspectral image unsupervised classification by robust manifold matrix factorization

Jane You, Bo Du, Dacheng Tao, 2019, Inf. Sci..

Discriminatively guided filtering (DGF) for hyperspectral image classification

Ziyu Wang, Jing-Hao Xue, Lefei Zhang, 2018, Neurocomputing.

Feature Learning Using Spatial-Spectral Hypergraph Discriminant Analysis for Hyperspectral Image

Bo Du, Liangpei Zhang, Dacheng Tao, 2019, IEEE Transactions on Cybernetics.

Self-Paced Subspace Clustering

Bo Du, Lefei Zhang, Youfa Liu, 2019, 2019 IEEE International Conference on Multimedia and Expo (ICME).

A Mutation Operator Accelerated Quantum-Behaved Particle Swarm Optimization Algorithm for Hyperspectral Endmember Extraction

Bo Du, Liangpei Zhang, Lefei Zhang, 2017, Remote. Sens..

Support Tensor Machines for Classification of Hyperspectral Remote Sensing Imagery

Jon Atli Benediktsson, Antonio J. Plaza, Liangpei Zhang, 2016, IEEE Transactions on Geoscience and Remote Sensing.

Homologous Component Analysis for Domain Adaptation

Bo Du, Dacheng Tao, Weiping Tu, 2020, IEEE Transactions on Image Processing.

Supervised Graph Embedding for Polarimetric SAR Image Classification

Lei Shi, Liangpei Zhang, Jie Yang, 2013, IEEE Geoscience and Remote Sensing Letters.

Iterative Reweighting Heterogeneous Transfer Learning Framework for Supervised Remote Sensing Image Classification

Xue Li, Bo Du, Liangpei Zhang, 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Dimensionality Reduction and Classification of Hyperspectral Images Using Ensemble Discriminative Local Metric Learning

Bo Du, Liangpei Zhang, Lefei Zhang, 2017, IEEE Transactions on Geoscience and Remote Sensing.

Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification

Chen Gong, Jian Yang, Bo Du, 2020, IEEE Transactions on Geoscience and Remote Sensing.

Robust learning with imperfect privileged information

Bo Du, Xue Li, Yipeng Zhang, 2020, Artif. Intell..

基于类别可分性的高光谱图像波段选择 (Supervised Band Selection Based on Class Separability for Hyperspectral Image)

Bo Du, Liangpei Zhang, Lefei Zhang, 2015, 计算机科学.

Nonnegative discriminative manifold learning for hyperspectral data dimension reduction

Gui-Song Xia, Liangpei Zhang, Dacheng Tao, 2013, 2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification pdf

Jian Yang, Bo Du, Chen Gong, 2019, IEEE Transactions on Geoscience and Remote Sensing.

一种基于背景自学习的高光谱图像生物信息提取方法 (Background Self-learning Framework for Bio Information Extraction from Hyperspectral Images)

Ting Wang, Bo Du, Lefei Zhang, 2015, 计算机科学.

R2FP: Rich and Robust Feature Pooling for Mining Visual Data

Wei Xiong, Bo Du, Ruimin Hu, 2015, 2015 IEEE International Conference on Data Mining.

A Low-Rank Total-Variation Regularized Tensor Completion Algorithm

Bo Du, Liangpei Zhang, Lefei Zhang, 2017, CCCV.

A batch-mode active learning framework by querying discriminative and representative samples for hyperspectral image classification

Bo Du, Liangpei Zhang, Zengmao Wang, 2016, Neurocomputing.

Learning selection channels for image steganalysis in spatial domain

Lefei Zhang, Lina Wang, Ju Jia, 2020, Neurocomputing.

Defect Detection from UAV Images Based on Region-Based CNNs

Bo Du, Meng Lan, Lefei Zhang, 2018, 2018 IEEE International Conference on Data Mining Workshops (ICDMW).

A minimal Munsell value error based laser printer model

Hai Su, Wenbin Hu, Dacheng Tao, 2016, Neurocomputing.

A Sparse and Low-Rank Near-Isometric Linear Embedding Method for Feature Extraction in Hyperspectral Imagery Classification

Gang Yang, Weiwei Sun, Bo Du, 2017, IEEE Transactions on Geoscience and Remote Sensing.

On Gleaning Knowledge From Cross Domains by Sparse Subspace Correlation Analysis for Hyperspectral Image Classification

Xue Li, Bo Du, Liangpei Zhang, 2019, IEEE Transactions on Geoscience and Remote Sensing.

Parallel DNN Inference Framework Leveraging a Compact RISC-V ISA-based Multi-core System

Bo Du, Jia Wu, Yipeng Zhang, 2020, KDD.

Multidomain Subspace Classification for Hyperspectral Images

Bo Du, Liangpei Zhang, Lefei Zhang, 2016, IEEE Transactions on Geoscience and Remote Sensing.

An image-based endmember bundle extraction algorithm using reconstruction error for hyperspectral imagery

Bo Du, Liangpei Zhang, Lefei Zhang, 2016, Neurocomputing.

Unsupervised Domain Adaptive Re-Identification: Theory and Practice pdf

Cheng Wang, Bo Du, Qian Zhang, 2018, Pattern Recognit..

A scene change detection framework for multi-temporal very high resolution remote sensing images

Liangpei Zhang, Chen Wu, Lefei Zhang, 2016, Signal Process..

A Low-Rank Tensor Decomposition Based Hyperspectral Image Compression Algorithm

Xuelong Li, Bo Du, Lefei Zhang, 2016, PCM.

Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art

Bo Du, Liangpei Zhang, Lefei Zhang, 2016, IEEE Geoscience and Remote Sensing Magazine.

Denoising auto-encoders toward robust unsupervised feature representation

Wei Xiong, Bo Du, Liangpei Zhang, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Regularized set-to-set distance metric learning for hyperspectral image classification

Jiangtao Peng, Luoqing Li, Lefei Zhang, 2016, Pattern Recognit. Lett..

Hyperspectral signal unmixing based on constrained non-negative matrix factorization approach

Bo Du, Dacheng Tao, Nan Wang, 2016, Neurocomputing.

LocalDrop: A Hybrid Regularization for Deep Neural Networks

Bo Du, Masashi Sugiyama, Lefei Zhang, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Dynamic Selection Network for Image Inpainting

Yipeng Zhang, Lefei Zhang, Ning Wang, 2021, IEEE Transactions on Image Processing.