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

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)

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)

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)

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)

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)

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

Hybrid Adaboost based on Genetic Algorithm for Gene Expression Data Classification. - Yaqiong Meng; Huijuan Lu; Ke Yan 001; Minchao Ye (ChineseCSCW, 2017)

A Method of Determining the Cost Weight with High-Dimensional Fitting. - Lei Yang; Huijuan Lu; Ke Yan 001; Minchao Ye (ChineseCSCW, 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)

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)

Learning Misclassification Costs for Imbalanced Datasets, Application in Gene Expression Data Classification. - Huijuan Lu; Yige Xu 002; Minchao Ye; Ke Yan 001; Qun Jin; Zhigang Gao (ICIC (1), 2018)

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

DNN-Based Image Classification for Software GUI Testing. - Huijuan Lu; Li Wang; Minchao Ye; Ke Yan 001; Qun Jin (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 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)

Applying of Adaptive Threshold Non-maximum Suppression to Pneumonia Detection. - Hao Teng; Huijuan Lu; Minchao Ye; Ke Yan 001; Zhigang Gao; Qun Jin (BIC-TA (2), 2019)

Random Convolutional Neural Network Based on Distributed Computing with Decentralized Architecture. - Yige Xu 002; Huijuan Lu; Minchao Ye; Ke Yan 001; Zhigang Gao; Qun Jin (HCC, 2019)

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)

Learning misclassification costs for imbalanced classification on gene expression data. - Huijuan Lu; Yige Xu 002; Minchao Ye; Ke Yan 001; Zhigang Gao; Qun Jin (BMC Bioinform., 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)

Improved Cascade R-CNN for Medical Images of Pulmonary Nodules Detection Combining Dilated HRNet. - Shihuai Xu; Huijuan Lu; Minchao Ye; Ke Yan 001; Wenjie Zhu; Qun Jin (ICMLC, 2020)

Modified Hybrid Task Cascade for Lung Nodules Segmentation in CT Images with Guided Anchoring. - Shihuai Xu; Huijuan Lu; Minchao Ye; Ke Yan 001; Wenjie Zhu; Qun Jin (ICMLC, 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)

Improving Hyperspectral Image Classification using Graph Wavelets. - Qipeng Qian; Xiaotian Fan; Minchao Ye (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)

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)

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

Computational model for predicting user aesthetic preference for GUI using DCNNs. - Baixi Xing; Huahao Si; Junbin Chen; Minchao Ye; Lei Shi 003 (CCF Trans. Pervasive Comput. Interact., 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)

A Hybrid Ensemble Algorithm Combining AdaBoost and Genetic Algorithm for Cancer Classification with Gene Expression Data. - Huijuan Lu; Huiyun Gao; Minchao Ye; Xiuhui Wang (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Binary Function Similarity Detection Based on Graph Neural Network with Self-Attention Mechanism. - Dingjie Wu; Xuanzhang He; Yao Zhang; Junjie Zhu; Xinyuan Zhang; Minchao Ye; Zhigang Gao (DASC/PiCom/CBDCom/CyberSciTech, 2022)

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

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)

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)

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)

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)

Graph-Based Generative Adversarial Networks for Molecular Generation with Noise Diffusion. - Jianyang Wang; Bin Ju; Xiaoliang Qian; Minchao Ye; Wanli Huo (ICBBB, 2024)

Contrastive Learning for Silent Face Liveness Detection Based on A Hybrid Framework. - Ying Tang; Zhongyue Chen; Minchao Ye; Zhaojuan Zhang; Yaping Qi; Huijuan Lu; Wanli Huo (ICIC (7), 2024)

Adaptive Swin Transformers for Few-Shot Cross-Domain Silent Face Liveness Detection. - Ying Tang; Zhongyue Chen; Minchao Ye; Zhaojuan Zhang; Yaping Qi; Huijuan Lu; Wanli Huo (ICIC (11), 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)

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)

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)