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2020 – today
- 2024
[j10]Zhongwei Li
, Yuewen Wang, Leiquan Wang, Fangming Guo, Yajie Yang, Jie Wei:
Pseudolabeling Contrastive Learning for Semisupervised Hyperspectral and LiDAR Data Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 17099-17116 (2024)- [j9]Fangming Guo, Qiao Meng, Zhongwei Li, Guangbo Ren, Leiquan Wang, Jie Zhang, Rongyu Xin, Yabin Hu:
Multisource Feature Embedding and Interaction Fusion Network for Coastal Wetland Classification With Hyperspectral and LiDAR Data. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j8]Leiquan Wang, Zheng Zheng, Neeraj Kumar, Cong Wang, Fangming Guo, Peiying Zhang:
Multilevel Class Token Transformer With Cross TokenMixer for Hyperspectral Images Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [c7]Huayu Li, Jie Zhang, Guangbo Ren, Fangming Guo, Jianbu Wang:
Fine-Scale Classification of Wetland in the Yellow River Estuary based on UAV Hyperspectral Data. IGARSS 2024: 7873-7876 - 2023
- [j7]Fangming Guo, Zhongwei Li, Qiao Meng, Guangbo Ren, Leiquan Wang, Jianbu Wang, Huawei Qin, Jie Zhang:
Semi-supervised cross-domain feature fusion classification network for coastal wetland classification with hyperspectral and LiDAR data. Int. J. Appl. Earth Obs. Geoinformation 120: 103354 (2023) - [j6]Zhongwei Li, Qiao Meng, Fangming Guo, Leiquan Wang, Wenhao Huang, Yabin Hu, Jian Liang:
Feature-guided dynamic graph convolutional network for wetland hyperspectral image classification. Int. J. Appl. Earth Obs. Geoinformation 123: 103485 (2023) - [j5]Zhongwei Li, Hao Sui, Cai Luo, Fangming Guo:
Morphological Convolution and Attention Calibration Network for Hyperspectral and LiDAR Data Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 5728-5740 (2023) - [c6]Fangming Guo, Xianlei Long, Kai Liu, Chao Chen, Haiyong Luo, Jianga Shang, Fuqiang Gu:
Efficient and Accurate Indoor/Outdoor Detection with Deep Spiking Neural Networks. GLOBECOM 2023: 6529-6535 - 2022
- [j4]Wuli Wang, Yumeng Jiang, Ge Wang, Fangming Guo, Zhongwei Li, Baodi Liu:
Multi-Scale LBP Texture Feature Learning Network for Remote Sensing Interpretation of Land Desertification. Remote. Sens. 14(14): 3486 (2022) - [c5]Fangming Guo, Zhongwei Li, Qiao Meng, Leiquan Wang, Jie Zhang:
Dual Graph Convolution Joint Dense Networks for Hyperspectral and LiDAR Data Classification. IGARSS 2022: 1141-1144 - 2021
- [j3]Zhongwei Li, Xue Zhu, Ziqi Xin, Fangming Guo, Xingshuai Cui, Leiquan Wang:
Variational Generative Adversarial Network with Crossed Spatial and Spectral Interactions for Hyperspectral Image Classification. Remote. Sens. 13(16): 3131 (2021) - [j2]Fangming Guo, Zhongwei Li, Ziqi Xin, Xue Zhu, Leiquan Wang, Jie Zhang:
Dual Graph U-Nets for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 8160-8170 (2021) - [c4]Fangming Guo, Hua Song:
Study on Optimization of Course Selection System Based on Virtual Machine Cluster and Dynamic Resource Expansion. ICISS 2021: 149-153 - [c3]Fangming Guo, Hua Song:
The Research on Multi-level Performance Optimization of Course Selection System Based on Full Credit System. ICSCA 2021: 208-212 - [c2]Fangming Guo, Hua Song:
The Application of Data Mining Technology Based on Factor Analysis in the Evaluation of Students' Learning Quality. ISCSIC 2021: 222-226 - 2020
- [j1]Zhongwei Li, Fangming Guo, Qi Li, Guangbo Ren, Leiquan Wang:
An Encoder-Decoder Convolution Network With Fine-Grained Spatial Information for Hyperspectral Images Classification. IEEE Access 8: 33600-33608 (2020)
2000 – 2009
- 2009
- [c1]Fangming Guo, Qiong Liu:
A Hybrid PSO Algorithm for Job-Shop Scheduling Problems with Fuzzy Processing Time and Fuzzy Due Date. ICNC (3) 2009: 171-176
Coauthor Index
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