Fang He

18 papers Journal 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Hierarchical MADRL Framework for Joint Resource Allocation and Trajectory Design in UAV Enabled Multi-Static ISAC Networks.
IEEE Wirel. Commun. Lett.
Zhaowei Wang, Jianwei Zhao, Fang He, Weimin Jia, Wei Jin, Qihui Wu
2024 J jnl
Ensemble graph Laplacian-based anomaly detector for hyperspectral imagery.
Vis. Comput.
Haojie Hu, Danyao Shen, Shuai Yan, Fang He, Jiaxin Dong
2024 J jnl
Hierarchical Prototype-Aligned Graph Neural Network for Cross-Scene Hyperspectral Image Classification.
Remote. Sens.
Danyao Shen, Haojie Hu, Fang He, Fenggan Zhang, Jianwei Zhao, Xiaowei Shen
2024 J jnl
Infrared Image Generation Based on Visual State Space and Contrastive Learning.
Remote. Sens.
Bing Li, Decao Ma, Fang He, Zhili Zhang, Daqiao Zhang, Shaopeng Li
2023 J jnl
Recursive RX with Extended Multi-Attribute Profiles for Hyperspectral Anomaly Detection.
Remote. Sens.
Fang He, Shuai Yan, Yao Ding, Zhensheng Sun, Jianwei Zhao, Haojie Hu, Yujie Zhu
2022 J jnl
Bi-Kernel Graph Neural Network with Adaptive Propagation Mechanism for Hyperspectral Image Classification.
Remote. Sens.
Haojie Hu, Yao Ding, Fang He, Fenggan Zhang, Jianwei Zhao, Minli Yao
2022 J jnl
Graph Neural Network via Edge Convolution for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett.
Haojie Hu, Minli Yao, Fang He, Fenggan Zhang
2022 J jnl
Unifying Label Propagation and Graph Sparsification for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett.
Haojie Hu, Fang He, Fenggan Zhang, Yao Ding, Xin Wu, Jianwei Zhao, Minli Yao
2021 J jnl
Fast Semi-Supervised Learning With Optimal Bipartite Graph.
IEEE Trans. Knowl. Data Eng.
Fang He, Feiping Nie, Rong Wang, Haojie Hu, Weimin Jia, Xuelong Li
2021 J jnl
Random Collective Representation-Based Detector with Multiple Features for Hyperspectral Images.
Remote. Sens.
Zhongheng Li, Fang He, Haojie Hu, Fei Wang, Weizhong Yu
2021 J jnl
Semisupervised Band Selection With Graph Optimization for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Fang He, Feiping Nie, Rong Wang, Weimin Jia, Fenggan Zhang, Xuelong Li
2020 J jnl
Fast Semisupervised Learning With Bipartite Graph for Large-Scale Data.
IEEE Trans. Neural Networks Learn. Syst.
Fang He, Feiping Nie, Rong Wang, Xuelong Li, Weimin Jia
2020 J jnl
Fast semi-supervised learning with anchor graph for large hyperspectral images.
Pattern Recognit. Lett.
Fang He, Rong Wang, Weimin Jia
2020 J jnl
Multiple Features and Isolation Forest-Based Fast Anomaly Detector for Hyperspectral Imagery.
IEEE Trans. Geosci. Remote. Sens.
Rong Wang, Feiping Nie, Zhen Wang, Fang He, Xuelong Li
2020 J jnl
Self-weighted collaborative representation for hyperspectral anomaly detection.
Signal Process.
Rong Wang, Haojie Hu, Fang He, Feiping Nie, Shubin Cai, Zhong Ming
2019 J jnl
Feature Learning Viewpoint of AdaBoost and a New Algorithm.
CoRR
Fei Wang, Zhongheng Li, Fang He, Rong Wang, Weizhong Yu, Feiping Nie
2019 J jnl
Feature Learning Viewpoint of Adaboost and a New Algorithm.
IEEE Access
Fei Wang, Zhongheng Li, Fang He, Rong Wang, Weizhong Yu, Feiping Nie
2019 J jnl
Scalable Graph-Based Clustering With Nonnegative Relaxation for Large Hyperspectral Image.
IEEE Trans. Geosci. Remote. Sens.
Rong Wang, Feiping Nie, Zhen Wang, Fang He, Xuelong Li