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Xiong Zhou
Xiong Zhou
Applied Scientist, Amazon
Verified email at amazon.com
Title
Cited by
Cited by
Year
-SNE: Domain Adaptation using Stochastic Neighborhood Embedding
X Xu*, X Zhou*, R Venkatesan, G Swaminathan, O Majumder
IEEE Conference on Computer Vision and Pattern Recognition, 2497-2506, 2019
932019
Superpixel-based active learning and online feature importance learning for hyperspectral image analysis
J Guo, X Zhou, J Li, A Plaza, S Prasad
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017
352017
Wavelet-domain multiview active learning for spatial-spectral hyperspectral image classification
X Zhou, S Prasad, MM Crawford
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016
342016
Deep feature alignment neural networks for domain adaptation of hyperspectral data
X Zhou, S Prasad
IEEE Transactions on Geoscience and Remote Sensing 56 (10), 5863-5872, 2018
332018
Active and semisupervised learning with morphological component analysis for hyperspectral image classification
X Zhou, S Prasad
IEEE Geoscience and Remote Sensing Letters 14 (8), 1348-1352, 2017
222017
Domain adaptation for robust classification of disparate hyperspectral images
X Zhou, S Prasad
IEEE Transactions on Computational Imaging 3 (4), 822-836, 2017
162017
Wavelet domain multi-view active learning for hyperspectral image analysis
X Zhou, S Prasad, M Crawford
2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2014
92014
Advances in deep learning for hyperspectral image analysis—addressing challenges arising in practical imaging scenarios
X Zhou, S Prasad
Hyperspectral Image Analysis: Advances in Machine Learning and Signal …, 2020
72020
Crowd-sourced artificial intelligence image processing services
V Khare, G Swaminathan, Z Xiong
US Patent 10,360,482, 2019
42019
Transformation learning based domain adaptation for robust classification of disparate hyperspectral data
X Zhou, S Prasad
Geoscience and Remote Sensing Symposium (IGARSS), 2017 IEEE International …, 2017
42017
Exploiting invariance in training deep neural networks
C Ye, X Zhou, T McKinney, Y Liu, Q Zhou, F Zhdanov
Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8849-8856, 2022
32022
Generating artificial intelligence image processing services
LP Dirac, V Khare, G Swaminathan, Z Xiong
US Patent 10,474,926, 2019
32019
Mapping mangrove communities in coastal wetlands using airborne hyperspectral data
X Zhou, AR Armitage, S Prasad
Hyperspectral Image and Signal Processing: Evolution in Remote Sensing …, 2016
32016
Classification of multi-source sensor data with limited labeled data
MM Crawford, S Prasad, X Zhou, Z Zhang
Algorithms and Technologies for Multispectral, Hyperspectral, and …, 2015
32015
Out-of-the-box channel pruned networks
R Venkatesan, G Swaminathan, X Zhou, A Luo
arXiv preprint arXiv:2004.14584, 2020
22020
Finetext: text classification via attention-based language model fine-tuning
Y Tao, S Gupta, S Krishna, X Zhou, O Majumder, V Khare
arXiv preprint arXiv:1910.11959, 2019
22019
Reinforcement learning for training compression policies for machine learning models
G Swaminathan, R Venkatesan, Z Xiong, R Luo, V Khare
US Patent 11,501,173, 2022
2022
Semi-Supervised and Deep Learning in Optimal Subspaces for Classification of Disparate Hyperspectral Data
X Zhou
2017
Wavelet domain active learning for robust classification of full-waveform LiDAR data
X Zhou, S Prasad, M Crawford
2014 IEEE Geoscience and Remote Sensing Symposium, 3566-3569, 2014
2014
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