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Coupled Dense Convolutional Neural Networks with Autoencoder for Unsupervised Hyperspectral Super-Resolution

Published in ICIG 2023 · Lecture Notes in Computer Science, 2023

This paper presents CoDenNet, a coupled dense convolutional network with autoencoder for unsupervised hyperspectral image super-resolution reconstruction.

Recommended citation: Lin, X. et al. (2023). Coupled Dense Convolutional Neural Networks with Autoencoder for Unsupervised Hyperspectral Super-Resolution. In: Lu, H., et al. Image and Graphics . ICIG 2023. Lecture Notes in Computer Science, vol 14359. Springer, Cham. https://doi.org/10.1007/978-3-031-46317-4_14
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Realizing adaptive governance of coupled climate–social systems: A deep reinforcement learning framework

Published in Geography and Sustainability, 2026

A deep reinforcement learning framework for adaptive climate–social governance.

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自适应决策的引擎：地球系统科学中的强化学习

Published in SCIENTIA SINICA Terrae, 2026

An article on reinforcement learning in Earth system science. The original Chinese title is retained. See the publisher page for the full record.

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Conference Proceeding talk 3 on Relevant Topic in Your Field

Published: March 01, 2014

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Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015

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