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Yu Guo

Publications

Citations

Publications by Year

20252025

Co-Authors:

Yunchao LiYi LiuYanjun Zhang

Yu Guo

Affiliation

Beijing Electro-mechanical Engineering Institute, Beijing, China

Publication Topics

Attention Mechanism,
Basic Architecture,
Characteristic Width,
Classification Accuracy,
Complex Models,
Convolution Kernel,
Cyclic Shift,
Extract Spatial Information,
Floating-point Operations,
Global Features,
Graph Convolutional Network,
Group Convolution

Biography

Yu Guo received the M.S. degree in control engineering from Northwestern Polytechnical University, Xian, China, in 2020.,He is currently working with Beijing Electro-mechanical Engineering Institute, Beijing, China. His research interests include coordination control of multiagent system and intelligent control of unmanned aerial vehicles.(Based on document published on 25 November 2024).

Publications

Citations

Publications by Year

20252025

Co-Authors:

Yunchao Li
Yi Liu
Yanjun Zhang

Author's Published Works

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State Key Laboratory of Dynamic Measurement Technology, North University of China, Yaiyuan, China(1)
Beijing Electro-mechanical Engineering Institute, Beijing, China(1)
Norinco Group Test and Measuring Academy, Xi'an, China(1)
State Key Laboratory of Dynamic Measurement Techno-logy, North University of China, Yaiyuan, China(1)
Department of Automation, Taiyuan Institute of Technology, Taiyuan, China(1)
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing(1)
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Lightweight Spatial–Spectral Shift Module With Multihead MambaOut for Hyperspectral Image Classification

Yi Liu;Yanjun Zhang;Yu Guo;Yunchao Li

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Year: 2025 | Volume: 18 | Journal Article |

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In hyperspectral images, the high dimensionality of spectral data often leads to redundant spectral information, making it difficult to extract features. Two-dimensional CNNs fail to effec-tively extract spatial and spectral information, and deploying three-dimensional CNNs on microprocessors is challenging as these net-works consume excessive resources. If graph convolutional networks (GCN) are a...Show More

Lightweight Spatial–Spectral Shift Module With Multihead MambaOut for Hyperspectral Image Classification

Yi Liu;Yanjun Zhang;Yu Guo;Yunchao Li

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Year: 2025 | Volume: 18 | Journal Article |

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