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Posts
PyTorch入门笔记：从安装到第一个神经网络
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本文记录了 PyTorch 框架的入门学习过程，包括安装配置、基本概念和构建第一个神经网络的完整步骤。
portfolio
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publications
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.
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.
talks
Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
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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