Fangming Guo

According to our database, Fangming Guo authored at least 17 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Multilevel Class Token Transformer With Cross TokenMixer for Hyperspectral Images Classification.

Leiquan Wang, Zheng Zheng, Neeraj Kumar, Cong Wang, Fangming Guo, Peiying Zhang

IEEE Trans. Geosci. Remote. Sens., 2024

Multisource Feature Embedding and Interaction Fusion Network for Coastal Wetland Classification With Hyperspectral and LiDAR Data.

Fangming Guo, Qiao Meng, Zhongwei Li, Guangbo Ren, Leiquan Wang, Jie Zhang, Rongyu Xin, Yabin Hu

IEEE Trans. Geosci. Remote. Sens., 2024

Pseudolabeling Contrastive Learning for Semisupervised Hyperspectral and LiDAR Data Classification.

Zhongwei Li, Yuewen Wang, Leiquan Wang, Fangming Guo, Yajie Yang, Jie Wei

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Fine-Scale Classification of Wetland in the Yellow River Estuary based on UAV Hyperspectral Data.

Huayu Li, Jie Zhang, Guangbo Ren, Fangming Guo, Jianbu Wang

Proceedings of the IGARSS 2024, 2024

2023

Feature-guided dynamic graph convolutional network for wetland hyperspectral image classification.

Zhongwei Li, Qiao Meng, Fangming Guo, Leiquan Wang, Wenhao Huang, Yabin Hu, Jian Liang

Int. J. Appl. Earth Obs. Geoinformation, September, 2023

Semi-supervised cross-domain feature fusion classification network for coastal wetland classification with hyperspectral and LiDAR data.

Fangming Guo, Zhongwei Li, Qiao Meng, Guangbo Ren, Leiquan Wang, Jianbu Wang, Huawei Qin, Jie Zhang

Int. J. Appl. Earth Obs. Geoinformation, June, 2023

Morphological Convolution and Attention Calibration Network for Hyperspectral and LiDAR Data Classification.

Zhongwei Li, Hao Sui, Cai Luo, Fangming Guo

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Efficient and Accurate Indoor/Outdoor Detection with Deep Spiking Neural Networks.

Fangming Guo, Xianlei Long, Kai Liu, Chao Chen, Haiyong Luo, Jianga Shang, Fuqiang Gu

Proceedings of the IEEE Global Communications Conference, 2023

2022

Multi-Scale LBP Texture Feature Learning Network for Remote Sensing Interpretation of Land Desertification.

Wuli Wang, Yumeng Jiang, Ge Wang, Fangming Guo, Zhongwei Li, Baodi Liu

Remote. Sens., 2022

Dual Graph Convolution Joint Dense Networks for Hyperspectral and LiDAR Data Classification.

Fangming Guo, Zhongwei Li, Qiao Meng, Leiquan Wang, Jie Zhang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

Dual Graph U-Nets for Hyperspectral Image Classification.

Fangming Guo, Zhongwei Li, Ziqi Xin, Xue Zhu, Leiquan Wang, Jie Zhang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Variational Generative Adversarial Network with Crossed Spatial and Spectral Interactions for Hyperspectral Image Classification.

Zhongwei Li, Xue Zhu, Ziqi Xin, Fangming Guo, Xingshuai Cui, Leiquan Wang

Remote. Sens., 2021

The Application of Data Mining Technology Based on Factor Analysis in the Evaluation of Students' Learning Quality.

Fangming Guo, Hua Song

Proceedings of the 2021 International Symposium on Computer Science and Intelligent Control, 2021

The Research on Multi-level Performance Optimization of Course Selection System Based on Full Credit System.

Fangming Guo, Hua Song

Proceedings of the ICSCA 2021, 2021

Study on Optimization of Course Selection System Based on Virtual Machine Cluster and Dynamic Resource Expansion.

Fangming Guo, Hua Song

Proceedings of the ICISS 2021: The 4th International Conference on Information Science and Systems, 2021

2020

An Encoder-Decoder Convolution Network With Fine-Grained Spatial Information for Hyperspectral Images Classification.

Zhongwei Li, Fangming Guo, Qi Li, Guangbo Ren, Leiquan Wang

IEEE Access, 2020

2009

A Hybrid PSO Algorithm for Job-Shop Scheduling Problems with Fuzzy Processing Time and Fuzzy Due Date.

Fangming Guo, Qiong Liu

Proceedings of the Fifth International Conference on Natural Computation, 2009