Fang He - RankMe

18 papers Journal 18

Year	Rank	Type	Title / 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