Image Segmentation Based on Combination of Global and Local Information. - Yuntao Qian; Rongchun Zhao (ICIP (1), 1997)

Image Interpretation with Fuzzy-Graph Based Genetic Algorithm. - Yuntao Qian (ICIP (1), 1999)

Clustering Combination Method. - Yuntao Qian; Ching Y. Suen (ICPR, 2000)

Sequential Combination Methods for Data Clustering Analysis. - Yuntao Qian; Ching Y. Suen; Yuan Yan Tang (J. Comput. Sci. Technol., 2002)

Face Recognition Using Novel LDA-Based Algorithms. - Guang Dai; Yuntao Qian (ECAI, 2004)

Modified kernel-based nonlinear feature extraction [face recognition example]. - Guang Dai; Yuntao Qian; Sen Jia 001 (ICASSP (5), 2004)

Kernel generalized nonlinear discriminant analysis algorithm for pattern recognition. - Guang Dai; Yuntao Qian (ICIP, 2004)

A Gabor direct fractional-step LDA algorithm for face recognition. - Guang Dai; Yuntao Qian (ICME, 2004)

A Kernel Fractional-Step Nonlinear Discriminant Analysis for Pattern Recognition. - Guang Dai; Yuntao Qian; Sen Jia 001 (ICPR (2), 2004)

An Advanced Segmental Semi-Markov Model Based Online Series Pattern Detection. - Sen Jia 001; Yuntao Qian; Guang Dai (ICPR (3), 2004)

Face recognition with the robust feature extracted by the generalized Foley-Sammon transform. - Guang Dai; Yuntao Qian (ISCAS (2), 2004)

By normalizing to improve generalized Foley-Sammon transform in high-dimensional spaces - with application to face recognition. - Guang Dai; Yuntao Qian (SMC (3), 2004)

An Event Correlation Approach Based on the Combination of IHU and Codebook. - Qiuhua Zheng; Yuntao Qian (CIS (2), 2005)

Non-deterministic Event Correlation Based on C-F Model. - Qiuhua Zheng; Yuntao Qian; Min Yao (FSKD (2), 2005)

A semi-supervised color image segmentation method. - Yuntao Qian; Wenwu Si (ICIP (2), 2005)

An MRF-ICA Based Algorithm for Image Separation. - Sen Jia 001; Yuntao Qian (ICNC (2), 2005)

Semi-supervised Dynamic Counter Propagation Network. - Yao Chen; Yuntao Qian (ADMA, 2006)

Segmental Semi-Markov Model Based Online Series Pattern Detection Under Arbitrary Time Scaling. - Guangjie Ling; Yuntao Qian; Sen Jia 001 (ADMA, 2006)

Improved Stone's Complexity Pursuit for Hyperspectral Imagery Unmixing. - Sen Jia 001; Yuntao Qian (ICPR (4), 2006)

A Network Event Correlation Algorithm Based on Fault Filtration. - Qiuhua Zheng; Yuntao Qian; Min Yao (PRICAI, 2006)

MRF Based Spatial Complexity for Hyperspectral Imagery Unmixing. - Sen Jia 001; Yuntao Qian (SSPR/SPR, 2006)

A Complexity Constrained Nonnegative Matrix Factorization for Hyperspectral Unmixing. - Sen Jia 001; Yuntao Qian (ICA, 2007)

Mrf-ICA Mixture Model for Hyperspectral Imagery Unmixing. - Sen Jia 001; Yuntao Qian (Int. J. Wavelets Multiresolution Inf. Process., 2007)

Face recognition using a kernel fractional-step discriminant analysis algorithm. - Guang Dai; Dit-Yan Yeung; Yuntao Qian (Pattern Recognit., 2007)

Spectral and Spatial Complexity-Based Hyperspectral Unmixing. - Sen Jia 001; Yuntao Qian (IEEE Trans. Geosci. Remote. Sens., 2007)

Band Selection for Hyperspectral Imagery Using Affinity Propagation. - Sen Jia 001; Yuntao Qian; Zhen Ji (DICTA, 2008)

A Novel Approach for Network Event Correlation Based on Set Covering. - Qiuhua Zheng; Weihua Hu; Yuntao Qian; Min Yao; Xianglin Wang; Jing Chen (FSKD (3), 2008)

Improved recognition of figures containing fluorescence microscope images in online journal articles using graphical models. - Yuntao Qian; Robert F. Murphy (Bioinform., 2008)

Regularized Multinomial Regression Method for Hyperspectral Data Classification via Pathwise Coordinate Optimization. - Jiming Li; Yuntao Qian (DICTA, 2009)

Design and Implementation of an Embedded Quality Control System. - Futian Yao; Xiaozhu Chen; Yuntao Qian; Jiming Li (ICESS, 2009)

Hyperspectral data classification using Margin Infused Relaxed Algorithm. - Jiming Li; Zhenfang Hu; Yuntao Qian (ICIP, 2009)

Band selection based gaussian processes for hyperspectral remote sensing images classification. - Futian Yao; Yuntao Qian (ICIP, 2009)

Constrained Nonnegative Matrix Factorization for Hyperspectral Unmixing. - Sen Jia 001; Yuntao Qian (IEEE Trans. Geosci. Remote. Sens., 2009)

Aggressive Dimensionality Reduction with Reinforcement Local Feature Selection for Text Categorization. - Wenbin Zheng; Yuntao Qian (AICI (1), 2010)

L1/2 Sparsity Constrained Nonnegative Matrix Factorization for Hyperspectral Unmixing. - Yuntao Qian; Sen Jia 001; Jun Zhou 001; Antonio Robles-Kelly (DICTA, 2010)

Hierarchical alternating least squares algorithm with Sparsity Constraint for hyperspectral unmixing. - Sen Jia 001; Yuntao Qian; Jiming Li; Yan Li 066; Zhong Ming 001 (ICIP, 2010)

Regularized logistic regression method for change detection in multispectral data via Pathwise Coordinate optimization. - Jiming Li; Yuntao Qian; Sen Jia 001 (ICIP, 2010)

Feature extraction and selection hybrid algorithm for hyperspectral imagery classification. - Sen Jia 001; Yuntao Qian; Jiming Li; Weixiang Liu; Zhen Ji (IGARSS, 2010)

Noise-robust subband decomposition blind signal separation for hyperspectral unmixing. - Yuntao Qian; Qi Wang (IGARSS, 2010)

A novel hyperspectral remote sensing images classification using Gaussian Processes with conditional random fields. - Futian Yao; Yuntao Qian; Zhenfang Hu; Jiming Li (ISKE, 2010)

Dimensionality Reduction with Category Information Fusion and Non-negative Matrix Factorization for Text Categorization. - Wenbin Zheng; Yuntao Qian; Hong Tang (AICI (3), 2011)

Fast and accurate iris segmentation based on linear basis function and RANSAC. - Kai Wang; Yuntao Qian (ICIP, 2011)

Dimension reduction of hyperspectral images with sparse linear discriminant analysis. - Jiming Li; Yuntao Qian (IGARSS, 2011)

Structured sparse model based feature selection and classification for hyperspectral imagery. - Yuntao Qian; Jun Zhou 001; Minchao Ye; Qi Wang (IGARSS, 2011)

Hyperspectral Unmixing via $L_{1/2}$ Sparsity-Constrained Nonnegative Matrix Factorization. - Yuntao Qian; Sen Jia 001; Jun Zhou 001; Antonio Robles-Kelly (IEEE Trans. Geosci. Remote. Sens., 2011)

Knowledge reduction in decision-theoretic rough set model based on connection degree. - Ping Lv; Jin Qian; Yuntao Qian (FSKD, 2012)

Non-negative Sparse Semantic Coding for text categorization. - Wenbin Zheng; Yuntao Qian (ICPR, 2012)

3-D nonlocal means filter with noise estimation for hyperspectral imagery denoising. - Yuntao Qian; Yanhao Shen; Minchao Ye; Qi Wang (IGARSS, 2012)

Noise reduction of hyperspectral imagery using nonlocal sparse representation with spectral-spatial structure. - Yuntao Qian; Minchao Ye; Qi Wang (IGARSS, 2012)

Minimum variance block-based nonnegative matrix factorization algorithm for hyperspectral unmixing. - Sen Jia 001; Jinquan Liang; Lin Deng; Yuntao Qian (WHISPERS, 2012)

Mixed Poisson-Gaussian noise model based sparse denoising for hyperspectral imagery. - Minchao Ye; Yuntao Qian (WHISPERS, 2012)

A Grouped Structure-based Regularized Regression Model for Text Categorization. - Wenbin Zheng; Yuntao Qian; Minchao Ye (J. Softw., 2012)

Unsupervised Band Selection for Hyperspectral Imagery Classification Without Manual Band Removal. - Sen Jia 001; Zhen Ji; Yuntao Qian; Linlin Shen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012)

Soil Biochar Quantification via Hyperspectral Unmixing. - Lei Tong; Jun Zhou 001; Chengyuan Xu; Yuntao Qian; Yongsheng Gao 001 (DICTA, 2013)

Salient object detection in hyperspectral imagery. - Jie Liang 003; Jun Zhou 001; Xiao Bai 001; Yuntao Qian (ICIP, 2013)

Manifold alignment based color transfer for multiview image stitching. - Yuntao Qian; Danping Liao; Jun Zhou 001 (ICIP, 2013)

Noise reduction of hyperspectral imagery based on nonlocal tensor factorization. - Danping Liao; Minchao Ye; Sen Jia 001; Yuntao Qian (IGARSS, 2013)

Visualization of hyperspectral imagery based on manifold learning. - Danping Liao; Minchao Ye; Sen Jia 001; Yuntao Qian (IGARSS, 2013)

MT-OMP for hyperspectral imagery denoising with model parameter estimation. - Minchao Ye; Yuntao Qian; Qi Wang (IGARSS, 2013)

Panchromatic image based dictionary learning for hyperspectral imagery denoising. - Minchao Ye; Yuntao Qian; Qi Wang (IGARSS, 2013)

Text categorization based on regularization extreme learning machine. - Wenbin Zheng; Yuntao Qian; Huijuan Lu (Neural Comput. Appl., 2013)

Hyperspectral Imagery Restoration Using Nonlocal Spectral-Spatial Structured Sparse Representation With Noise Estimation. - Yuntao Qian; Minchao Ye (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013)

Hyperspectral Image Classification Based on Structured Sparse Logistic Regression and Three-Dimensional Wavelet Texture Features. - Yuntao Qian; Minchao Ye; Jun Zhou 001 (IEEE Trans. Geosci. Remote. Sens., 2013)

Modeling Behaviors of Browsing and Buying for Alidata Discovery Using Joint Non-negative Matrix Factorization. - Bin Ju; Mincao Ye; Yuntao Qian; Rong Ni; Chenxi Zhu (CIS, 2014)

Visualization of Hyperspectral Imaging Data Based on Manifold Alignment. - Danping Liao; Yuntao Qian; Jun Zhou 001 (ICPR, 2014)

Speech enhancement with a GSC-like structure employing sparse coding. - Li-chun Yang; Yuntao Qian (J. Zhejiang Univ. Sci. C, 2014)

Local detail enhanced hyperspectral image visualization. - Jialu Fang; Yuntao Qian (IGARSS, 2015)

Multiple graph regularized NMF for hyperspectral unmixing. - Lei Tong; Jun Zhou 001; Yuntao Qian; Yongsheng Gao 001 (WHISPERS, 2015)

On the sampling strategies for evaluation of joint spectral-spatial information based classifiers. - Jun Zhou 001; Jie Liang 003; Yuntao Qian; Yongsheng Gao 001; Lei Tong (WHISPERS, 2015)

Adaptive L1/2 Sparsity-Constrained NMF With Half-Thresholding Algorithm for Hyperspectral Unmixing. - Wenhong Wang; Yuntao Qian (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Multitask Sparse Nonnegative Matrix Factorization for Joint Spectral-Spatial Hyperspectral Imagery Denoising. - Minchao Ye; Yuntao Qian; Jun Zhou 001 (IEEE Trans. Geosci. Remote. Sens., 2015)

Collaborative work with linear classifier and extreme learning machine for fast text categorization. - Wenbin Zheng; Hong Tang; Yuntao Qian (World Wide Web, 2015)

Group Feature Selection via Structural Sparse Logistic Regression for IDS. - Reehan Ali Shah; Yuntao Qian; Ghulam Mahdi (HPCC/SmartCity/DSS, 2016)

Semisupervised manifold learning for color transfer between multiview images. - Danping Liao; Yuntao Qian; Ze-Nian Li (ICPR, 2016)

Bound analysis of natural gradient descent in stochastic optimization setting. - Zhijian Luo; Danping Liao; Yuntao Qian (ICPR, 2016)

Parallel adaptive sparsity-constrained NMF algorithm for hyperspectral unmixing. - Wenhong Wang; Yuntao Qian (IGARSS, 2016)

Kernel based sparse NMF algorithm for hyperspectral unmixing. - Wenhong Wang; Yuntao Qian (IGARSS, 2016)

Group sparse nonnegative matrix factorization for hyperspectral image denoising. - Yangyang Xu; Yuntao Qian (IGARSS, 2016)

基于堆叠降噪自动编码器的胶囊缺陷检测方法 (Capsule Defects Detection Based on Stacked Denoising Autoencoders). - Xianbao Wang; Wenxiu He; Xingang Wang; Minghai Yao; Yuntao Qian (计算机科学, 2016)

Preference transfer model in collaborative filtering for implicit data. - Bin Ju; Yuntao Qian; Minchao Ye (Frontiers Inf. Technol. Electron. Eng., 2016)

Hypergraph-Regularized Sparse NMF for Hyperspectral Unmixing. - Wenhong Wang; Yuntao Qian; Yuan Yan Tang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

A Manifold Alignment Approach for Hyperspectral Image Visualization With Natural Color. - Danping Liao; Yuntao Qian; Jun Zhou 001; Yuan Yan Tang (IEEE Trans. Geosci. Remote. Sens., 2016)

Nonnegative-Matrix-Factorization-Based Hyperspectral Unmixing With Partially Known Endmembers. - Lei Tong; Jun Zhou 001; Yuntao Qian; Xiao Bai 001; Yongsheng Gao 001 (IEEE Trans. Geosci. Remote. Sens., 2016)

Network Intrusion Detection through Discriminative Feature Selection by Using Sparse Logistic Regression. - Reehan Ali Shah; Yuntao Qian; Dileep Kumar; Munwar Ali 001; Muhammad Bux Alvi (Future Internet, 2017)

Cross-scene hyperspectral image classification based on DWT and manifold-constrained subspace learning. - Minchao Ye; Wenbin Zheng; Huijuan Lu; Xianting Zeng; Yuntao Qian (Int. J. Wavelets Multiresolution Inf. Process., 2017)

Exploring Structural Consistency in Graph Regularized Joint Spectral-Spatial Sparse Coding for Hyperspectral Image Classification. - Changhong Liu; Jun Zhou 001; Jie Liang 003; Yuntao Qian; Hanxi Li; Yongsheng Gao 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Region-Based Structure Preserving Nonnegative Matrix Factorization for Hyperspectral Unmixing. - Lei Tong; Jun Zhou 001; Xue Li; Yuntao Qian; Yongsheng Gao 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

On the Sampling Strategy for Evaluation of Spectral-Spatial Methods in Hyperspectral Image Classification. - Jie Liang 003; Jun Zhou 001; Yuntao Qian; Lian Wen; Xiao Bai 001; Yongsheng Gao 001 (IEEE Trans. Geosci. Remote. Sens., 2017)

Matrix-Vector Nonnegative Tensor Factorization for Blind Unmixing of Hyperspectral Imagery. - Yuntao Qian; Fengchao Xiong; Shan Zeng; Jun Zhou 001; Yuan Yan Tang (IEEE Trans. Geosci. Remote. Sens., 2017)

Dictionary Learning-Based Feature-Level Domain Adaptation for Cross-Scene Hyperspectral Image Classification. - Minchao Ye; Yuntao Qian; Jun Zhou 001; Yuan Yan Tang (IEEE Trans. Geosci. Remote. Sens., 2017)

Hyperspectral Imagery Denoising via Reweighed Sparse Low-Rank Nonnegative Tensor Factorization. - Fengchao Xiong; Jun Zhou 001; Yuntao Qian (ICIP, 2018)

Visualization of Hyperspectral Images Using Moving Least Squares. - Danping Liao; Siyu Chen 002; Yuntao Qian (ICPR, 2018)

Deep Tensor Factorization for Hyperspectral Image Classification. - Jingzhou Chen; Wei Zhang; Yuntao Qian; Minchao Ye (IGARSS, 2018)

Superpixel-Based Nonnegative Tensor Factorization for Hyperspectral Unmixing. - Fengchao Xiong; Jingzhou Chen; Jun Zhou 001; Yuntao Qian (IGARSS, 2018)

Cross-Scene Feature Selection for Hyperspectral Images Based on Cross-Domain Information Gain. - Minchao Ye; Yongqiu Xu; Huijuan Lu; Ke Yan 001; Yuntao Qian (IGARSS, 2018)

Deconv R-CNN for Small Object Detection on Remote Sensing Images. - Wei Zhang; Shihao Wang; Sophanyouly Thachan; Jingzhou Chen; Yuntao Qian (IGARSS, 2018)

Spectral Image Visualization Using Generative Adversarial Networks. - Siyu Chen 002; Danping Liao; Yuntao Qian (PRICAI (1), 2018)

Spectral-spatial features for material based object tracking in hyperspectral videos. - Fengchao Xiong; Jun Zhou 001; Kun Qian 015; Yuntao Qian (CoRR, 2018)

Constrained Manifold Learning for Hyperspectral Imagery Visualization. - Danping Liao; Yuntao Qian; Yuan Yan Tang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Corrections to "Dictionary Learning-Based Feature-Level Domain Adaptation for Cross-Scene Hyperspectral Image Classification". - Minchao Ye; Yuntao Qian; Jun Zhou 001; Yuan Yan Tang (IEEE Trans. Geosci. Remote. Sens., 2018)

Dual Dictionary Learning for Mining a Unified Feature Subspace between Different Hyperspectral Image Scenes. - Hong Chen; Minchao Ye; Huijuan Lu; Ling Lei; Yuntao Qian (IGARSS, 2019)

Feature Extraction of Hyperspectral Imagery Based on Deep NMF. - Chenxi Ji; Minchao Ye; Huijuan Lu; Futian Yao; Yuntao Qian (IGARSS, 2019)

Spectral-Spatial Joint Noise Estimation for Hyperspectral Images. - Minchao Ye; Hong Chen; Chenxi Ji; Ling Lei; Yuntao Qian (IGARSS, 2019)

Dynamic Material-Aware Object Tracking in Hyperspectral Videos. - Fengchao Xiong; Jun Zhou 001; Jocelyn Chanussot; Yuntao Qian (WHISPERS, 2019)

Deep Neural Network Based Hyperspectral Pixel Classification With Factorized Spectral-Spatial Feature Representation. - Jingzhou Chen; Siyu Chen 002; Peilin Zhou; Yuntao Qian (IEEE Access, 2019)

Stochastic Momentum Method With Double Acceleration for Regularized Empirical Risk Minimization. - Zhijian Luo; Siyu Chen 002; Yuntao Qian (IEEE Access, 2019)

A Deep Optimization Approach for Image Deconvolution. - Zhijian Luo; Siyu Chen 002; Yuntao Qian (CoRR, 2019)

Learning deep optimizer for blind image deconvolution. - Zhijian Luo; Siyu Chen 002; Yuntao Qian (Int. J. Wavelets Multiresolution Inf. Process., 2019)

Stochastic sub-sampled Newton method with variance reduction. - Zhijian Luo; Yuntao Qian (Int. J. Wavelets Multiresolution Inf. Process., 2019)

Feature selection for cross-scene hyperspectral image classification using cross-domain ReliefF. - Minchao Ye; Yongqiu Xu; Chenxi Ji; Hong Chen; Huijuan Lu; Yuntao Qian (Int. J. Wavelets Multiresolution Inf. Process., 2019)

Paper evolution graph: multi-view structural retrieval for academic literature. - Danping Liao; Yuntao Qian (Frontiers Inf. Technol. Electron. Eng., 2019)

Hyperspectral Unmixing via Total Variation Regularized Nonnegative Tensor Factorization. - Fengchao Xiong; Yuntao Qian; Jun Zhou 001; Yuan Yan Tang (IEEE Trans. Geosci. Remote. Sens., 2019)

Hyperspectral Restoration via L0 Gradient Regularized Low-Rank Tensor Factorization. - Fengchao Xiong; Jun Zhou 001; Yuntao Qian (IEEE Trans. Geosci. Remote. Sens., 2019)

BAE-Net: A Band Attention Aware Ensemble Network for Hyperspectral Object Tracking. - Zhuanfeng Li; Fengchao Xiong; Jun Zhou 001; Jing Wang 062; Jianfeng Lu 003; Yuntao Qian (ICIP, 2020)

Few-Shot Learning for Remote Sensing Image Retrieval With MAML. - Qian Zhong; Ling Chen; Yuntao Qian (ICIP, 2020)

Multi-layer Cross-domain Non-negative Matrix Factorization for Cross-scene Dimension Reduction on Hyperspectral Images. - Hong Chen; Kewei Gong; Ling Lei; Minchao Ye; Yuntao Qian (ICPRAI, 2020)

Multi-Label Remote Sensing Image Classification with Deformable Convolutions and Graph Neural Networks. - Yingyu Diao; Jingzhou Chen; Yuntao Qian (IGARSS, 2020)

Nonlocal Low-Rank Nonnegative Tensor Factorization for Hyperspectral Unmixing. - Fengchao Xiong; Kun Qian 015; Jianfeng Lu 003; Jun Zhou 001; Yuntao Qian (IGARSS, 2020)

Residual deep PCA-based feature extraction for hyperspectral image classification. - Minchao Ye; Chenxi Ji; Hong Chen; Ling Lei; Huijuan Lu; Yuntao Qian (Neural Comput. Appl., 2020)

ℱ3-Net: Feature Fusion and Filtration Network for Object Detection in Optical Remote Sensing Images. - Xinhai Ye; Fengchao Xiong; Jianfeng Lu 003; Jun Zhou 001; Yuntao Qian (Remote. Sens., 2020)

Semisupervised Dual-Dictionary Learning for Heterogeneous Transfer Learning on Cross-Scene Hyperspectral Images. - Hong Chen; Minchao Ye; Ling Lei; Huijuan Lu; Yuntao Qian (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Multiple Clustering Guided Nonnegative Matrix Factorization for Hyperspectral Unmixing. - Wenhong Wang; Yuntao Qian; Hongfu Liu 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Nonconvex Nonseparable Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing. - Fengchao Xiong; Jun Zhou 001; Jianfeng Lu 003; Yuntao Qian (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Spectral Mixture Model Inspired Network Architectures for Hyperspectral Unmixing. - Yuntao Qian; Fengchao Xiong; Qipeng Qian; Jun Zhou 001 (IEEE Trans. Geosci. Remote. Sens., 2020)

Material Based Object Tracking in Hyperspectral Videos. - Fengchao Xiong; Jun Zhou 001; Yuntao Qian (IEEE Trans. Image Process., 2020)

AF-Net: All-scale Feature Fusion Network for Road Extraction from Remote Sensing Images. - Shide Zou; Fengchao Xiong; Haonan Luo; Jianfeng Lu 003; Yuntao Qian (DICTA, 2021)

NMF-SAE: An Interpretable Sparse Autoencoder for Hyperspectral Unmixing. - Fengchao Xiong; Jun Zhou 001; Minchao Ye; Jianfeng Lu 003; Yuntao Qian (ICASSP, 2021)

Hierarchical Multi-Label Ship Recognition in Remote Sensing Images Using Label Relation Graphs. - Jingzhou Chen; Yuntao Qian (IGARSS, 2021)

Graph Regularized Autoencoder Based Feature Extraction for Hyperspectral Image Classification. - Xiaotian Fan; Jingzhou Chen; Yuntao Qian (IGARSS, 2021)

Learning a Model-Based Deep Hyperspectral Denoiser from a Single Noisy Hyperspectral Image. - Guanyiman Fu; Fengchao Xiong; Shuyin Tao; Jianfeng Lu 003; Jun Zhou 001; Yuntao Qian (IGARSS, 2021)

A Graph-Regularized Non-local Hyperspectral Image Denoising Method. - Ling Lei; Binqian Huang; Minchao Ye; Hong Chen; Yuntao Qian (ISGV, 2021)

Random Convolutional Network for Hyperspectral Image Classification. - Jiongye Zhu; Xiaohan Wang; Ling Lei; Minchao Ye; Yuntao Qian (ISGV, 2021)

Spectral-Spatial-Temporal Attention Network for Hyperspectral Tracking. - Zhuanfeng Li; Xinhai Ye; Fengchao Xiong; Jianfeng Lu 003; Jun Zhou 001; Yuntao Qian (WHISPERS, 2021)

Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting. - Ling Chen 001; Jiahui Xu; Binqing Wu; Yuntao Qian; Zhenhong Du; Yansheng Li 001; Yongjun Zhang 002 (CoRR, 2021)

RMNA: A Neighbor Aggregation-Based Knowledge Graph Representation Learning Model Using Rule Mining. - Ling Chen 001; Jun Cui 003; Xing Tang 006; Chaodu Song; Yuntao Qian; Yansheng Li 001; Yongjun Zhang 002 (CoRR, 2021)

Multi-stage stochastic gradient method with momentum acceleration. - Zhijian Luo; Siyu Chen 002; Yuntao Qian; Yueen Hou (Signal Process., 2021)

Cross-Scene Hyperspectral Feature Selection via Hybrid Whale Optimization Algorithm With Simulated Annealing. - Jianxi Wang; Minchao Ye; Fengchao Xiong; Yuntao Qian (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Feature Selection for Cross-Scene Hyperspectral Image Classification Using Cross-Domain I-ReliefF. - Chengjie Zhang; Minchao Ye; Ling Lei; Yuntao Qian (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Label Relation Graphs Enhanced Hierarchical Residual Network for Hierarchical Multi-Granularity Classification. - Jingzhou Chen; Peng Wang 100; Jian Liu; Yuntao Qian (CVPR, 2022)

Material-Guided Siamese Fusion Network for Hyperspectral Object Tracking. - Zhuanfeng Li; Fengchao Xiong; Jianfeng Lu 003; Jun Zhou 001; Yuntao Qian (ICASSP, 2022)

Multitask Sparse Neural Network for Hyperspectral Image Denoising. - Fengchao Xiong; Minchao Ye; Jun Zhou 001; Jianfeng Lu 003; Yuntao Qian (ICASSP, 2022)

A Self-Supervised Hyperspectral Image Restoration Method Based on Convolutional Sparse Coding and Superpixel Segmentation. - Zhongshun Jiang; Honglin Zhu; Yi Qiu; Yuntao Qian (IGARSS, 2022)

Cross-Scene Hyperspectral Image Classification Based on Cycle-Consistent Adversarial Networks. - Zhihao Meng; Minchao Ye; Futian Yao; Fengchao Xiong; Yuntao Qian (IGARSS, 2022)

Cross-Domain Attention Network for Hyperspectral Image Classification. - Chenglong Wang; Minchao Ye; Ling Lei; Fengchao Xiong; Yuntao Qian (IGARSS, 2022)

Spatial-Spectral Convolutional Sparse Neural Network for Hyperspectral Image Denoising. - Fengchao Xiong; Minchao Ye; Jun Zhou 001; Yuntao Qian (IGARSS, 2022)

Self-Supervised Learning Hyperspectral Image Denoiser with Separated Spectral-Spatial Feature Extraction. - Honglin Zhu; Minchao Ye; Yi Qiu; Yuntao Qian (IGARSS, 2022)

Incorporating Attention Mechanism And Graph Regularization Into Cnns For Hyperspectral Image Classification. - Yang Chu 001; Minchao Ye; Yuntao Qian (WHISPERS, 2022)

RLPath: a knowledge graph link prediction method using reinforcement learning based attentive relation path searching and representation learning. - Ling Chen 001; Jun Cui 003; Xing Tang 006; Yuntao Qian; Yansheng Li 001; Yongjun Zhang 002 (Appl. Intell., 2022)

Learning an Occlusion-Aware Network for Video Deblurring. - Qian Xu 014; Jinshan Pan; Yuntao Qian (IEEE Trans. Circuits Syst. Video Technol., 2022)

Bidirectional Transformer for Video Deblurring. - Qian Xu 014; Yuntao Qian (IEEE Trans. Circuits Syst. Video Technol., 2022)

Hierarchical Multilabel Ship Classification in Remote Sensing Images Using Label Relation Graphs. - Jingzhou Chen; Yuntao Qian (IEEE Trans. Geosci. Remote. Sens., 2022)

Incremental Detection of Remote Sensing Objects With Feature Pyramid and Knowledge Distillation. - Jingzhou Chen; Shihao Wang; Ling Chen 001; Haibin Cai; Yuntao Qian (IEEE Trans. Geosci. Remote. Sens., 2022)

Nonlocal Spatial-Spectral Neural Network for Hyperspectral Image Denoising. - Guanyiman Fu; Fengchao Xiong; Jianfeng Lu 003; Jun Zhou 001; Yuntao Qian (IEEE Trans. Geosci. Remote. Sens., 2022)

Hyperspectral Image Restoration With Self-Supervised Learning: A Two-Stage Training Approach. - Yuntao Qian; Honglin Zhu; Ling Chen 001; Jun Zhou 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

MAC-Net: Model-Aided Nonlocal Neural Network for Hyperspectral Image Denoising. - Fengchao Xiong; Jun Zhou 001; Qinling Zhao; Jianfeng Lu 003; Yuntao Qian (IEEE Trans. Geosci. Remote. Sens., 2022)

SNMF-Net: Learning a Deep Alternating Neural Network for Hyperspectral Unmixing. - Fengchao Xiong; Jun Zhou 001; Shuyin Tao; Jianfeng Lu 003; Yuntao Qian (IEEE Trans. Geosci. Remote. Sens., 2022)

Learning a Deep Structural Subspace Across Hyperspectral Scenes With Cross-Domain VAE. - Minchao Ye; Junbin Chen; Fengchao Xiong; Yuntao Qian (IEEE Trans. Geosci. Remote. Sens., 2022)

Spectral-Spatial Boundary Detection in Hyperspectral Images. - Suhad Lateef Al-Khafaji; Jun Zhou 001; Xiao Bai 001; Yuntao Qian; Alan Wee-Chung Liew (IEEE Trans. Image Process., 2022)

Contrast-Reconstruction Representation Learning for Self-Supervised Skeleton-Based Action Recognition. - Peng Wang 100; Jun Wen; Chenyang Si; Yuntao Qian; Liang Wang 001 (IEEE Trans. Image Process., 2022)

SMDS-Net: Model Guided Spectral-Spatial Network for Hyperspectral Image Denoising. - Fengchao Xiong; Jun Zhou 001; Shuyin Tao; Jianfeng Lu 003; Jiantao Zhou 001; Yuntao Qian (IEEE Trans. Image Process., 2022)

DACHA: A Dual Graph Convolution Based Temporal Knowledge Graph Representation Learning Method Using Historical Relation. - Ling Chen 001; Xing Tang 006; Weiqi Chen; Yuntao Qian; Yansheng Li 001; Yongjun Zhang 002 (ACM Trans. Knowl. Discov. Data, 2022)

Iterative Refinement Network for Hyperspectral Image Denoising. - Fengchao Xiong; Jun Zhou 001; Zhuang Zhao; Yuntao Qian (ICME, 2023)

Incremental Learning of Remote Sensing Target Classification with Class Hierarchy. - Yang Chu 001; Peng Wang; Yuntao Qian (IGARSS, 2023)

A Noise-Model-Free Hyperspectral Image Denoising Method Based on Diffusion Model. - Keli Deng; Zhongshun Jiang; Qipeng Qian; Yi Qiu; Yuntao Qian (IGARSS, 2023)

Hierarchical Superpixel Relation Graph Combined with Convolutional Sparse Coding for Self-Supervised Hyperspectral Image Denoising. - Zhongshun Jiang; Qipeng Qian; Yi Qiu; Yuntao Qian (IGARSS, 2023)

Wavelet Siamese Network for Change Detection in Remote Sensing Images. - Tianhan Li; Fengchao Xiong; Wenbin Zheng; Zhuanfeng Li; Jun Zhou 001; Yuntao Qian (IGARSS, 2023)

Cross-Domain Hyperspectral Image Classification Based on Graph Convolutional Networks. - Yushan Li; Minchao Ye; Yuntao Qian; Qipeng Qian (IGARSS, 2023)

Cross-Domain Hyperspectral Image Classification Based on Transformer. - Jiawei Ling; Minchao Ye; Yuntao Qian; Qipeng Qian (IGARSS, 2023)

Cross-Domain Heterogeneous Hyperspectral Image Classification Based on Meta-Learning with Task-Adaptive Loss Function. - Yuheng Jin; Minchao Ye; Fengchao Xiong; Yuntao Qian (WHISPERS, 2023)

A Survey on Deep Learning-based Spatio-temporal Action Detection. - Peng Wang; Fanwei Zeng; Yuntao Qian (CoRR, 2023)

Semantic guided level-category hybrid prediction network for hierarchical image classification. - Peng Wang 100; Jingzhou Chen; Yuntao Qian (Int. J. Wavelets Multiresolution Inf. Process., 2023)

Multitask Sparse Representation Model-Inspired Network for Hyperspectral Image Denoising. - Fengchao Xiong; Jiantao Zhou 001; Jun Zhou 001; Jianfeng Lu 003; Yuntao Qian (IEEE Trans. Geosci. Remote. Sens., 2023)

Deep Parameterized Neural Networks for Hyperspectral Image Denoising. - Fengchao Xiong; Jun Zhou 001; Jiantao Zhou 001; Jianfeng Lu 003; Yuntao Qian (IEEE Trans. Geosci. Remote. Sens., 2023)

Ca-STANet: Spatiotemporal Attention Network for Chlorophyll-a Prediction With Gap-Filled Remote Sensing Data. - Min Ye; Bohan Li 005; Jie Nie; Yuntao Qian; Lie-Liang Yang (IEEE Trans. Geosci. Remote. Sens., 2023)

Learning a Deep Ensemble Network With Band Importance for Hyperspectral Object Tracking. - Zhuanfeng Li; Fengchao Xiong; Jun Zhou 001; Jianfeng Lu 003; Yuntao Qian (IEEE Trans. Image Process., 2023)

Cross-domain residual deep NMF for transfer learning between different hyperspectral image scenes. - Ling Lei; Binqian Huang; Minchao Ye; Futian Yao; Yuntao Qian (Int. J. Wavelets Multiresolution Inf. Process., 2023)

An aggressive reduction on the complexity of optimization for non-strongly convex objectives. - Zhijian Luo; Siyu Chen; Yueen Hou; Yanzeng Gao; Yuntao Qian (Int. J. Wavelets Multiresolution Inf. Process., 2023)

Domain-invariant attention network for transfer learning between cross-scene hyperspectral images. - Minchao Ye; Chenglong Wang; Zhihao Meng; Fengchao Xiong; Yuntao Qian (IET Comput. Vis., 2023)

RGB Images Enhancing Hyperspectral Image Denoising with Diffusion Model. - Keli Deng; Peng Wang; Yuntao Qian (ICASSP, 2024)

Incremental Classification of Remote Sensing Images with Feature Pyramid and Class Hierarchy. - Yang Chu 001; Yuntao Qian (IGARSS, 2024)

Semantic-Aware Alignment Network for Cross-Resolution Change Detection. - Yijun Zhang; Fengchao Xiong; Jianfeng Lu 003; Minchao Ye; Jun Zhou 001; Yuntao Qian (IGARSS, 2024)

SSUMamba: Spatial-Spectral Selective State Space Model for Hyperspectral Image Denoising. - Guanyiman Fu; Fengchao Xiong; Jianfeng Lu 003; Jun Zhou 001; Yuntao Qian (CoRR, 2024)

Fine-Grained Image Recognition Methods and Their Applications in Remote Sensing Images: A Review. - Yang Chu 001; Minchao Ye; Yuntao Qian (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Mask-Guided Local-Global Attentive Network for Change Detection in Remote Sensing Images. - Fengchao Xiong; Tianhan Li; Jingzhou Chen; Jun Zhou 001; Yuntao Qian (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Diffusion-Model-Based Hyperspectral Unmixing Using Spectral Prior Distribution. - Keli Deng; Yuntao Qian; Jie Nie; Jun Zhou 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Hyperspectral Image Denoising via Spatial-Spectral Recurrent Transformer. - Guanyiman Fu; Fengchao Xiong; Jianfeng Lu 003; Jun Zhou 001; Jiantao Zhou 001; Yuntao Qian (IEEE Trans. Geosci. Remote. Sens., 2024)

Material-Guided Multiview Fusion Network for Hyperspectral Object Tracking. - Zhuanfeng Li; Fengchao Xiong; Jun Zhou 001; Jianfeng Lu 003; Zhuang Zhao; Yuntao Qian (IEEE Trans. Geosci. Remote. Sens., 2024)

Wavelet Siamese Network With Semi-Supervised Domain Adaptation for Remote Sensing Image Change Detection. - Fengchao Xiong; Tianhan Li; Yi Yang 071; Jun Zhou 001; Jianfeng Lu 003; Yuntao Qian (IEEE Trans. Geosci. Remote. Sens., 2024)

Adaptive Graph Modeling With Self-Training for Heterogeneous Cross-Scene Hyperspectral Image Classification. - Minchao Ye; Junbin Chen; Fengchao Xiong; Yuntao Qian (IEEE Trans. Geosci. Remote. Sens., 2024)

Discriminative Vision Transformer for Heterogeneous Cross-Domain Hyperspectral Image Classification. - Minchao Ye; Jiawei Ling; Wanli Huo; Zhaojuan Zhang; Fengchao Xiong; Yuntao Qian (IEEE Trans. Geosci. Remote. Sens., 2024)

Building Cross-Domain Mapping Chains From Multi-CycleGAN for Hyperspectral Image Classification. - Minchao Ye; Zhihao Meng; Yuntao Qian (IEEE Trans. Geosci. Remote. Sens., 2024)

Iterative Low-Rank Network for Hyperspectral Image Denoising. - Jin Ye 008; Fengchao Xiong; Jun Zhou 001; Yuntao Qian (IEEE Trans. Geosci. Remote. Sens., 2024)

A survey on deep learning-based spatio-temporal action detection. - Peng Wang 100; Fanwei Zeng; Yuntao Qian (Int. J. Wavelets Multiresolution Inf. Process., 2024)

Efficiently Exploiting Spatially Variant Knowledge for Video Deblurring. - Qian Xu 014; Xiaobin Hu; Donghao Luo 001; Ying Tai; Chengjie Wang; Yuntao Qian (IEEE Trans. Circuits Syst. Video Technol., 2024)

Label Relationship Graph-Enhanced Class Hierarchy for Incremental Classification of Remote Sensing Images. - Yang Chu 001; Yuntao Qian (ICASSP, 2025)

Multi-domain universal representation learning for hyperspectral object tracking. - Zhuanfeng Li; Fengchao Xiong; Jianfeng Lu 003; Jing Wang 062; Diqi Chen; Jun Zhou 001; Yuntao Qian (Pattern Recognit., 2025)

Hierarchical Contrastive Learning for Multigranularity Ship Classification With Learnable Class Queries. - Jingzhou Chen; Fengchao Xiong; Yuntao Qian; Liang Xiao 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Spatial-Spectral-Temporal Correlation Filter for Hyperspectral Object Tracking. - Fengchao Xiong; Yongle Sun; Jun Zhou 001; Jianfeng Lu 003; Yuntao Qian (IEEE Trans. Geosci. Remote. Sens., 2025)

Frequency- and Spatial-Domain Saliency Network for Remote Sensing Cross-Modal Retrieval. - Chengyu Zheng; Jie Nie; Bo Yin; Xiu Li 006; Yuntao Qian; Zhiqiang Wei 002 (IEEE Trans. Geosci. Remote. Sens., 2025)

Incremental classification of remote sensing images using feature pyramid and class hierarchy enhanced by label relationship graphs. - Yang Chu 001; Yuntao Qian (Appl. Intell., 2025)

RGB Pre-Training Enhanced Unobservable Feature Latent Diffusion Model for Spectral Reconstruction. - Keli Deng; Jie Nie; Yuntao Qian (CoRR, 2025)

SUIT: Spatial-Spectral Union-Intersection Interaction Network for Hyperspectral Object Tracking. - Fengchao Xiong; Zhenxing Wu; Sen Jia; Yuntao Qian (CoRR, 2025)