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ORCIDMinchao Ye
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- affiliation: Zhejiang University
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Journal Articles
- 2024
[j20]Minchao Ye
, Junbin Chen, Fengchao Xiong, Yuntao Qian:
Adaptive Graph Modeling With Self-Training for Heterogeneous Cross-Scene Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024)- 2023
- [j19]Minchao Ye, Chenglong Wang, Zhihao Meng, Fengchao Xiong, Yuntao Qian:
Domain-invariant attention network for transfer learning between cross-scene hyperspectral images. IET Comput. Vis. 17(7): 739-749 (2023) - [j18]Ling Lei, Binqian Huang, Minchao Ye, Futian Yao, Yuntao Qian:
Cross-domain residual deep NMF for transfer learning between different hyperspectral image scenes. Int. J. Wavelets Multiresolution Inf. Process. 21(2): 2250046:1-2250046:16 (2023) - 2022
- [j17]Minchao Ye, Junbin Chen, Fengchao Xiong, Yuntao Qian:
Learning a Deep Structural Subspace Across Hyperspectral Scenes With Cross-Domain VAE. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - 2021
- [j16]Baixi Xing, Huahao Si, Junbin Chen, Minchao Ye, Lei Shi:
Computational model for predicting user aesthetic preference for GUI using DCNNs. CCF Trans. Pervasive Comput. Interact. 3(2): 147-169 (2021) - [j15]Jianxi Wang, Minchao Ye, Fengchao Xiong, Yuntao Qian:
Cross-Scene Hyperspectral Feature Selection via Hybrid Whale Optimization Algorithm With Simulated Annealing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 2473-2483 (2021) - [j14]Chengjie Zhang, Minchao Ye, Ling Lei, Yuntao Qian:
Feature Selection for Cross-Scene Hyperspectral Image Classification Using Cross-Domain I-ReliefF. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 5932-5949 (2021) - [j13]Huijuan Lu, Huiyun Gao, Minchao Ye, Xiuhui Wang:
A Hybrid Ensemble Algorithm Combining AdaBoost and Genetic Algorithm for Cancer Classification with Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 863-870 (2021) - 2020
- [j12]Minchao Ye, Chenxi Ji, Hong Chen, Ling Lei, Huijuan Lu, Yuntao Qian:
Residual deep PCA-based feature extraction for hyperspectral image classification. Neural Comput. Appl. 32(18): 14287-14300 (2020) - [j11]Hong Chen, Minchao Ye, Ling Lei, Huijuan Lu, Yuntao Qian:
Semisupervised Dual-Dictionary Learning for Heterogeneous Transfer Learning on Cross-Scene Hyperspectral Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 3164-3178 (2020) - 2019
- [j10]Huijuan Lu, Yige Xu, Minchao Ye, Ke Yan, Zhigang Gao, Qun Jin:
Learning misclassification costs for imbalanced classification on gene expression data. BMC Bioinform. 20-S(25): 681 (2019) - [j9]Minchao Ye, Yongqiu Xu, Chenxi Ji, Hong Chen, Huijuan Lu, Yuntao Qian:
Feature selection for cross-scene hyperspectral image classification using cross-domain ReliefF. Int. J. Wavelets Multiresolution Inf. Process. 17(5): 1950039:1-1950039:17 (2019) - 2018
- [j8]Minchao Ye, Yuntao Qian, Jun Zhou, Yuan Yan Tang:
Corrections to "Dictionary Learning-Based Feature-Level Domain Adaptation for Cross-Scene Hyperspectral Image Classification". IEEE Trans. Geosci. Remote. Sens. 56(5): 3002-3003 (2018) - 2017
- [j7]Minchao Ye, Wenbin Zheng, Huijuan Lu, Xianting Zeng, Yuntao Qian:
Cross-scene hyperspectral image classification based on DWT and manifold-constrained subspace learning. Int. J. Wavelets Multiresolution Inf. Process. 15(6): 1750062:1-1750062:16 (2017) - [j6]Minchao Ye, Yuntao Qian, Jun Zhou, Yuan Yan Tang:
Dictionary Learning-Based Feature-Level Domain Adaptation for Cross-Scene Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 55(3): 1544-1562 (2017) - 2016
- [j5]Bin Ju, Yuntao Qian, Minchao Ye:
Preference transfer model in collaborative filtering for implicit data. Frontiers Inf. Technol. Electron. Eng. 17(6): 489-500 (2016) - 2015
- [j4]Minchao Ye, Yuntao Qian, Jun Zhou:
Multitask Sparse Nonnegative Matrix Factorization for Joint Spectral-Spatial Hyperspectral Imagery Denoising. IEEE Trans. Geosci. Remote. Sens. 53(5): 2621-2639 (2015) - 2013
- [j3]Yuntao Qian, Minchao Ye:
Hyperspectral Imagery Restoration Using Nonlocal Spectral-Spatial Structured Sparse Representation With Noise Estimation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6(2-2): 499-515 (2013) - [j2]Yuntao Qian, Minchao Ye, Jun Zhou:
Hyperspectral Image Classification Based on Structured Sparse Logistic Regression and Three-Dimensional Wavelet Texture Features. IEEE Trans. Geosci. Remote. Sens. 51(4-2): 2276-2291 (2013) - 2012
- [j1]Wenbin Zheng, Yuntao Qian, Minchao Ye:
A Grouped Structure-based Regularized Regression Model for Text Categorization. J. Softw. 7(9): 2119-2124 (2012)
Conference and Workshop Papers
- 2024
- [c38]Jianyang Wang, Bin Ju, Xiaoliang Qian, Minchao Ye, Wanli Huo:
Graph-Based Generative Adversarial Networks for Molecular Generation with Noise Diffusion. ICBBB 2024: 1-6 - 2023
- [c37]Yushan Li, Minchao Ye, Yuntao Qian, Qipeng Qian:
Cross-Domain Hyperspectral Image Classification Based on Graph Convolutional Networks. IGARSS 2023: 5974-5977 - [c36]Jiawei Ling, Minchao Ye, Yuntao Qian, Qipeng Qian:
Cross-Domain Hyperspectral Image Classification Based on Transformer. IGARSS 2023: 7629-7632 - [c35]Yuheng Jin, Minchao Ye, Fengchao Xiong, Yuntao Qian:
Cross-Domain Heterogeneous Hyperspectral Image Classification Based on Meta-Learning with Task-Adaptive Loss Function. WHISPERS 2023: 1-5 - 2022
- [c34]Dingjie Wu, Xuanzhang He, Yao Zhang, Junjie Zhu, Xinyuan Zhang, Minchao Ye, Zhigang Gao:
Binary Function Similarity Detection Based on Graph Neural Network with Self-Attention Mechanism. DASC/PiCom/CBDCom/CyberSciTech 2022: 1-5 - [c33]Fengchao Xiong, Minchao Ye, Jun Zhou, Jianfeng Lu, Yuntao Qian:
Multitask Sparse Neural Network for Hyperspectral Image Denoising. ICASSP 2022: 2799-2803 - [c32]Fengchao Xiong, Minchao Ye, Jun Zhou, Yuntao Qian:
Spatial-Spectral Convolutional Sparse Neural Network for Hyperspectral Image Denoising. IGARSS 2022: 1225-1228 - [c31]Chenglong Wang, Minchao Ye, Ling Lei, Fengchao Xiong, Yuntao Qian:
Cross-Domain Attention Network for Hyperspectral Image Classification. IGARSS 2022: 1564-1567 - [c30]Honglin Zhu, Minchao Ye, Yi Qiu, Yuntao Qian:
Self-Supervised Learning Hyperspectral Image Denoiser with Separated Spectral-Spatial Feature Extraction. IGARSS 2022: 1748-1751 - [c29]Zhihao Meng, Minchao Ye, Futian Yao, Fengchao Xiong, Yuntao Qian:
Cross-Scene Hyperspectral Image Classification Based on Cycle-Consistent Adversarial Networks. IGARSS 2022: 1912-1915 - [c28]Yang Chu, Minchao Ye, Yuntao Qian:
Incorporating Attention Mechanism And Graph Regularization Into Cnns For Hyperspectral Image Classification. WHISPERS 2022: 1-5 - 2021
- [c27]Fengchao Xiong, Jun Zhou, Minchao Ye, Jianfeng Lu, Yuntao Qian:
NMF-SAE: An Interpretable Sparse Autoencoder for Hyperspectral Unmixing. ICASSP 2021: 1865-1869 - [c26]Ling Lei, Binqian Huang, Minchao Ye, Hong Chen, Yuntao Qian:
A Graph-Regularized Non-local Hyperspectral Image Denoising Method. ISGV 2021: 327-340 - [c25]Jiongye Zhu, Xiaohan Wang, Ling Lei, Minchao Ye, Yuntao Qian:
Random Convolutional Network for Hyperspectral Image Classification. ISGV 2021: 341-353 - 2020
- [c24]Shihuai Xu, Huijuan Lu, Minchao Ye, Ke Yan, Wenjie Zhu, Qun Jin:
Improved Cascade R-CNN for Medical Images of Pulmonary Nodules Detection Combining Dilated HRNet. ICMLC 2020: 283-288 - [c23]Shihuai Xu, Huijuan Lu, Minchao Ye, Ke Yan, Wenjie Zhu, Qun Jin:
Modified Hybrid Task Cascade for Lung Nodules Segmentation in CT Images with Guided Anchoring. ICMLC 2020: 433-438 - [c22]Hong Chen, Kewei Gong, Ling Lei, Minchao Ye, Yuntao Qian:
Multi-layer Cross-domain Non-negative Matrix Factorization for Cross-scene Dimension Reduction on Hyperspectral Images. ICPRAI 2020: 547-554 - [c21]Qipeng Qian, Xiaotian Fan, Minchao Ye:
Improving Hyperspectral Image Classification using Graph Wavelets. IGARSS 2020: 842-845 - 2019
- [c20]Hao Teng, Huijuan Lu, Minchao Ye, Ke Yan, Zhigang Gao, Qun Jin:
Applying of Adaptive Threshold Non-maximum Suppression to Pneumonia Detection. BIC-TA (2) 2019: 518-528 - [c19]Yige Xu, Huijuan Lu, Minchao Ye, Ke Yan, Zhigang Gao, Qun Jin:
Random Convolutional Neural Network Based on Distributed Computing with Decentralized Architecture. HCC 2019: 504-510 - [c18]Minchao Ye, Hong Chen, Chenxi Ji, Ling Lei, Yuntao Qian:
Spectral-Spatial Joint Noise Estimation for Hyperspectral Images. IGARSS 2019: 230-233 - [c17]Chenxi Ji, Minchao Ye, Huijuan Lu, Futian Yao, Yuntao Qian:
Feature Extraction of Hyperspectral Imagery Based on Deep NMF. IGARSS 2019: 1092-1095 - [c16]Hong Chen, Minchao Ye, Huijuan Lu, Ling Lei, Yuntao Qian:
Dual Dictionary Learning for Mining a Unified Feature Subspace between Different Hyperspectral Image Scenes. IGARSS 2019: 1096-1099 - 2018
- [c15]Huijuan Lu, Yige Xu, Minchao Ye, Ke Yan, Qun Jin, Zhigang Gao:
Learning Misclassification Costs for Imbalanced Datasets, Application in Gene Expression Data Classification. ICIC (1) 2018: 513-519 - [c14]Minchao Ye, Yongqiu Xu, Huijuan Lu, Ke Yan, Yuntao Qian:
Cross-Scene Feature Selection for Hyperspectral Images Based on Cross-Domain Information Gain. IGARSS 2018: 4764-4767 - [c13]Jingzhou Chen, Wei Zhang, Yuntao Qian, Minchao Ye:
Deep Tensor Factorization for Hyperspectral Image Classification. IGARSS 2018: 4788-4791 - [c12]Huijuan Lu, Li Wang, Minchao Ye, Ke Yan, Qun Jin:
DNN-Based Image Classification for Software GUI Testing. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018: 1818-1823 - 2017
- [c11]Lei Yang, Huijuan Lu, Ke Yan, Minchao Ye:
A Method of Determining the Cost Weight with High-Dimensional Fitting. ChineseCSCW 2017: 233-236 - [c10]Yaqiong Meng, Huijuan Lu, Ke Yan, Minchao Ye:
Hybrid Adaboost based on Genetic Algorithm for Gene Expression Data Classification. ChineseCSCW 2017: 257-258 - 2014
- [c9]Bin Ju, Mincao Ye, Yuntao Qian, Rong Ni, Chenxi Zhu:
Modeling Behaviors of Browsing and Buying for Alidata Discovery Using Joint Non-negative Matrix Factorization. CIS 2014: 114-118 - 2013
- [c8]Minchao Ye, Yuntao Qian, Qi Wang:
MT-OMP for hyperspectral imagery denoising with model parameter estimation. IGARSS 2013: 1079-1082 - [c7]Danping Liao, Minchao Ye, Sen Jia, Yuntao Qian:
Noise reduction of hyperspectral imagery based on nonlocal tensor factorization. IGARSS 2013: 1083-1086 - [c6]Danping Liao, Minchao Ye, Sen Jia, Yuntao Qian:
Visualization of hyperspectral imagery based on manifold learning. IGARSS 2013: 1979-1982 - [c5]Minchao Ye, Yuntao Qian, Qi Wang:
Panchromatic image based dictionary learning for hyperspectral imagery denoising. IGARSS 2013: 4130-4133 - 2012
- [c4]Yuntao Qian, Yanhao Shen, Minchao Ye, Qi Wang:
3-D nonlocal means filter with noise estimation for hyperspectral imagery denoising. IGARSS 2012: 1345-1348 - [c3]Yuntao Qian, Minchao Ye, Qi Wang:
Noise reduction of hyperspectral imagery using nonlocal sparse representation with spectral-spatial structure. IGARSS 2012: 3467-3470 - [c2]Minchao Ye, Yuntao Qian:
Mixed Poisson-Gaussian noise model based sparse denoising for hyperspectral imagery. WHISPERS 2012: 1-4 - 2011
- [c1]Yuntao Qian, Jun Zhou, Minchao Ye, Qi Wang:
Structured sparse model based feature selection and classification for hyperspectral imagery. IGARSS 2011: 1771-1774
Coauthor Index
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