A Hybrid PSO Algorithm for Job-Shop Scheduling Problems with Fuzzy Processing Time and Fuzzy Due Date. - Fangming Guo; Qiong Liu 002 (ICNC (3), 2009)

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)

Study on Optimization of Course Selection System Based on Virtual Machine Cluster and Dynamic Resource Expansion. - Fangming Guo; Hua Song (ICISS, 2021)

The Research on Multi-level Performance Optimization of Course Selection System Based on Full Credit System. - Fangming Guo; Hua Song (ICSCA, 2021)

The Application of Data Mining Technology Based on Factor Analysis in the Evaluation of Students' Learning Quality. - Fangming Guo; Hua Song (ISCSIC, 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)

Dual Graph U-Nets for Hyperspectral Image Classification. - Fangming Guo; Zhongwei Li; Ziqi Xin; Xue Zhu; Leiquan Wang; Jie Zhang 019 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Dual Graph Convolution Joint Dense Networks for Hyperspectral and LiDAR Data Classification. - Fangming Guo; Zhongwei Li; Qiao Meng; Leiquan Wang; Jie Zhang 019 (IGARSS, 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)

Efficient and Accurate Indoor/Outdoor Detection with Deep Spiking Neural Networks. - Fangming Guo; Xianlei Long; Kai Liu 001; Chao Chen 004; Haiyong Luo; Jianga Shang; Fuqiang Gu (GLOBECOM, 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)

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 019 (Int. J. Appl. Earth Obs. Geoinformation, 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, 2023)

Fine-Scale Classification of Wetland in the Yellow River Estuary based on UAV Hyperspectral Data. - Huayu Li; Jie Zhang 019; Guangbo Ren; Fangming Guo; Jianbu Wang (IGARSS, 2024)

MobileHAR: A Lightweight and Efficient Human Activity Recognition Model based on Inverted Residual Inception Block. - Ping Wang; Fangming Guo; Fuqiang Gu; Mingyan Li; Xianlei Long (MSN, 2024)

Efficient Event-based Semantic Segmentation with Spike-driven Lightweight Transformer-based Networks. - Xiaxin Zhu; Fangming Guo; Xianlei Long; Qingyi Gu; Chao Chen 004; Fuqiang Gu (CoRR, 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)

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 019; Rongyu Xin; Yabin Hu (IEEE Trans. Geosci. Remote. Sens., 2024)

Multilevel Class Token Transformer With Cross TokenMixer for Hyperspectral Images Classification. - Leiquan Wang; Zheng Zheng; Neeraj Kumar 001; Cong Wang; Fangming Guo; Peiying Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Instance-Wise Domain Generalization for Cross-Scene Wetland Classification With Hyperspectral and LiDAR Data. - Fangming Guo; Zhongwei Li; Guangbo Ren; Leiquan Wang; Jie Zhang 019; Jianbu Wang; Yabin Hu; Min Yang (IEEE Trans. Geosci. Remote. Sens., 2025)

Event-Driven Tactile Sensing With Dense Spiking Graph Neural Networks. - Fangming Guo; Fangwen Yu; Mingyan Li; Chao Chen 004; Jinjin Yan; Yan Li 037; Fuqiang Gu; Xianlei Long; Songtao Guo (IEEE Trans. Instrum. Meas., 2025)

Spike-BRGNet: Efficient and Accurate Event-Based Semantic Segmentation With Boundary Region-Guided Spiking Neural Networks. - Xianlei Long; Xiaxin Zhu; Fangming Guo; Chao Chen 004; Xiangwei Zhu; Fuqiang Gu; Songyu Yuan; Chunlong Zhang (IEEE Trans. Circuits Syst. Video Technol., 2025)