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Jianzhe Lin, Ph.D.
Jianzhe Lin, Ph.D.
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Title
Cited by
Cited by
Year
Salient band selection for hyperspectral image classification via manifold ranking
Q Wang, J Lin, Y Yuan
IEEE transactions on neural networks and learning systems 27 (6), 1279-1289, 2016
4762016
Hyperspectral image classification via multitask joint sparse representation and stepwise MRF optimization
Y Yuan, J Lin, Q Wang
IEEE transactions on cybernetics 46 (12), 2966-2977, 2015
2052015
Dual-clustering-based hyperspectral band selection by contextual analysis
Y Yuan, J Lin, Q Wang
IEEE Transactions on Geoscience and Remote Sensing 54 (3), 1431-1445, 2015
1742015
An end-to-end multi-task deep learning framework for skin lesion analysis
L Song, J Lin, ZJ Wang, H Wang
IEEE journal of biomedical and health informatics 24 (10), 2912-2921, 2020
1022020
Active-learning-incorporated deep transfer learning for hyperspectral image classification
J Lin, L Zhao, S Li, R Ward, ZJ Wang
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018
562018
Discriminative feature alignment: Improving transferability of unsupervised domain adaptation by Gaussian-guided latent alignment
J Wang, J Chen, J Lin, L Sigal, CW de Silva
Pattern Recognition 116, 107943, 2021
512021
Structure preserving transfer learning for unsupervised hyperspectral image classification
J Lin, C He, ZJ Wang, S Li
IEEE Geoscience and Remote Sensing Letters 14 (10), 1656-1660, 2017
372017
Multilabel aerial image classification with a concept attention graph neural network
D Lin, J Lin, L Zhao, ZJ Wang, Z Chen
IEEE Transactions on Geoscience and Remote Sensing 60, 1-12, 2021
322021
Spectral–spatial hyperspectral image classification using dual-channel capsule networks
X Jiang, W Liu, Y Zhang, J Liu, S Li, J Lin
IEEE Geoscience and Remote Sensing Letters 18 (6), 1094-1098, 2020
282020
DT-LET: Deep transfer learning by exploring where to transfer
J Lin, L Zhao, Q Wang, R Ward, ZJ Wang
Neurocomputing 390, 99-107, 2020
252020
Deep transfer learning for hyperspectral image classification
J Lin, R Ward, ZJ Wang
2018 IEEE 20th International Workshop on Multimedia Signal Processing (MMSP …, 2018
242018
Attention-Aware Pseudo-3-D Convolutional Neural Network for Hyperspectral Image Classification
J Lin, L Mou, XX Zhu, X Ji, ZJ Wang
IEEE Transactions on Geoscience and Remote Sensing, 2021
232021
CitySurfaces: City-scale semantic segmentation of sidewalk materials
M Hosseini, F Miranda, J Lin, CT Silva
Sustainable Cities and Society 79, 103630, 2022
202022
Intentvizor: Towards generic query guided interactive video summarization
G Wu, J Lin, CT Silva
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
202022
Aerial scene understanding in the wild: Multi-scene recognition via prototype-based memory networks
Y Hua, L Mou, J Lin, K Heidler, XX Zhu
ISPRS Journal of Photogrammetry and Remote Sensing 177, 89-102, 2021
152021
Hyperspectral image classification with CapsNet and Markov random fields
X Jiang, Y Zhang, W Liu, J Gao, J Liu, Y Zhang, J Lin
IEEE Access 8, 191956-191968, 2020
152020
Dense-residual attention network for skin lesion segmentation
L Song, J Lin, ZJ Wang, H Wang
Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019
142019
In defense of iterated conditional mode for hyperspectral image classification
J Lin, Q Wang, Y Yuan
2014 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2014
122014
Rethinking crowdsourcing annotation: partial annotation with salient labels for multilabel aerial image classification
J Lin, T Yu, ZJ Wang
IEEE transactions on geoscience and remote sensing 60, 1-12, 2022
112022
Unifying top–down views by task-specific domain adaptation
J Lin, T Yu, L Mou, X Zhu, RK Ward, ZJ Wang
IEEE Transactions on Geoscience and Remote Sensing 59 (6), 4689-4702, 2020
112020
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Articles 1–20