Fang He

According to our database, Fang He authored at least 17 papers between 2019 and 2026.

Collaborative distances:

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

2026

A Hierarchical MADRL Framework for Joint Resource Allocation and Trajectory Design in UAV Enabled Multi-Static ISAC Networks.

Zhaowei Wang, Jianwei Zhao, Fang He, Weimin Jia, Wei Jin, Qihui Wu

IEEE Wirel. Commun. Lett., 2026

2024

Hierarchical Prototype-Aligned Graph Neural Network for Cross-Scene Hyperspectral Image Classification.

Danyao Shen, Haojie Hu, Fang He, Fenggan Zhang, Jianwei Zhao, Xiaowei Shen

Remote. Sens., July, 2024

Ensemble graph Laplacian-based anomaly detector for hyperspectral imagery.

Haojie Hu, Danyao Shen, Shuai Yan, Fang He, Jiaxin Dong

Vis. Comput., January, 2024

Infrared Image Generation Based on Visual State Space and Contrastive Learning.

Bing Li, Decao Ma, Fang He, Zhili Zhang, Daqiao Zhang, Shaopeng Li

Remote. Sens., 2024

2023

Recursive RX with Extended Multi-Attribute Profiles for Hyperspectral Anomaly Detection.

Fang He, Shuai Yan, Yao Ding, Zhensheng Sun, Jianwei Zhao, Haojie Hu, Yujie Zhu

Remote. Sens., February, 2023

2022

Bi-Kernel Graph Neural Network with Adaptive Propagation Mechanism for Hyperspectral Image Classification.

Haojie Hu, Yao Ding, Fang He, Fenggan Zhang, Jianwei Zhao, Minli Yao

Remote. Sens., December, 2022

Graph Neural Network via Edge Convolution for Hyperspectral Image Classification.

Haojie Hu, Minli Yao, Fang He, Fenggan Zhang

IEEE Geosci. Remote. Sens. Lett., 2022

Unifying Label Propagation and Graph Sparsification for Hyperspectral Image Classification.

Haojie Hu, Fang He, Fenggan Zhang, Yao Ding, Xin Wu, Jianwei Zhao, Minli Yao

IEEE Geosci. Remote. Sens. Lett., 2022

2021

Fast Semi-Supervised Learning With Optimal Bipartite Graph.

Fang He, Feiping Nie, Rong Wang, Haojie Hu, Weimin Jia, Xuelong Li

IEEE Trans. Knowl. Data Eng., 2021

Semisupervised Band Selection With Graph Optimization for Hyperspectral Image Classification.

Fang He, Feiping Nie, Rong Wang, Weimin Jia, Fenggan Zhang, Xuelong Li

IEEE Trans. Geosci. Remote. Sens., 2021

Random Collective Representation-Based Detector with Multiple Features for Hyperspectral Images.

Zhongheng Li, Fang He, Haojie Hu, Fei Wang, Weizhong Yu

Remote. Sens., 2021

2020

Fast Semisupervised Learning With Bipartite Graph for Large-Scale Data.

Fang He, Feiping Nie, Rong Wang, Xuelong Li, Weimin Jia

IEEE Trans. Neural Networks Learn. Syst., 2020

Multiple Features and Isolation Forest-Based Fast Anomaly Detector for Hyperspectral Imagery.

Rong Wang, Feiping Nie, Zhen Wang, Fang He, Xuelong Li

IEEE Trans. Geosci. Remote. Sens., 2020

Self-weighted collaborative representation for hyperspectral anomaly detection.

Rong Wang, Haojie Hu, Fang He, Feiping Nie, Shubin Cai, Zhong Ming

Signal Process., 2020

Fast semi-supervised learning with anchor graph for large hyperspectral images.

Fang He, Rong Wang, Weimin Jia

Pattern Recognit. Lett., 2020

2019

Scalable Graph-Based Clustering With Nonnegative Relaxation for Large Hyperspectral Image.

Rong Wang, Feiping Nie, Zhen Wang, Fang He, Xuelong Li

IEEE Trans. Geosci. Remote. Sens., 2019

Feature Learning Viewpoint of Adaboost and a New Algorithm.

Fei Wang, Zhongheng Li, Fang He, Rong Wang, Weizhong Yu, Feiping Nie

IEEE Access, 2019