Feature Learning Viewpoint of Adaboost and a New Algorithm. - Fei Wang 008; Zhongheng Li; Fang He 012; Rong Wang 001; Weizhong Yu; Feiping Nie 001 (IEEE Access, 2019)

Scalable Graph-Based Clustering With Nonnegative Relaxation for Large Hyperspectral Image. - Rong Wang 001; Feiping Nie 001; Zhen Wang 004; Fang He 012; Xuelong Li 001 (IEEE Trans. Geosci. Remote. Sens., 2019)

Fast semi-supervised learning with anchor graph for large hyperspectral images. - Fang He 012; Rong Wang 001; Weimin Jia (Pattern Recognit. Lett., 2020)

Self-weighted collaborative representation for hyperspectral anomaly detection. - Rong Wang 001; Haojie Hu; Fang He 012; Feiping Nie 001; Shubin Cai; Zhong Ming 001 (Signal Process., 2020)

Multiple Features and Isolation Forest-Based Fast Anomaly Detector for Hyperspectral Imagery. - Rong Wang 001; Feiping Nie 001; Zhen Wang 004; Fang He 012; Xuelong Li 001 (IEEE Trans. Geosci. Remote. Sens., 2020)

Fast Semisupervised Learning With Bipartite Graph for Large-Scale Data. - Fang He 012; Feiping Nie 001; Rong Wang 001; Xuelong Li 001; Weimin Jia (IEEE Trans. Neural Networks Learn. Syst., 2020)

Random Collective Representation-Based Detector with Multiple Features for Hyperspectral Images. - Zhongheng Li; Fang He 012; Haojie Hu; Fei Wang 008; Weizhong Yu (Remote. Sens., 2021)

Semisupervised Band Selection With Graph Optimization for Hyperspectral Image Classification. - Fang He 012; Feiping Nie 001; Rong Wang 001; Weimin Jia; Fenggan Zhang; Xuelong Li 001 (IEEE Trans. Geosci. Remote. Sens., 2021)

Fast Semi-Supervised Learning With Optimal Bipartite Graph. - Fang He 012; Feiping Nie 001; Rong Wang 001; Haojie Hu; Weimin Jia; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2021)

Unifying Label Propagation and Graph Sparsification for Hyperspectral Image Classification. - Haojie Hu; Fang He 012; Fenggan Zhang; Yao Ding 010; Xin Wu 001; Jianwei Zhao 002; Minli Yao (IEEE Geosci. Remote. Sens. Lett., 2022)

Graph Neural Network via Edge Convolution for Hyperspectral Image Classification. - Haojie Hu; Minli Yao; Fang He 012; Fenggan Zhang (IEEE Geosci. Remote. Sens. Lett., 2022)

Bi-Kernel Graph Neural Network with Adaptive Propagation Mechanism for Hyperspectral Image Classification. - Haojie Hu; Yao Ding 010; Fang He 012; Fenggan Zhang; Jianwei Zhao 002; Minli Yao (Remote. Sens., 2022)

Recursive RX with Extended Multi-Attribute Profiles for Hyperspectral Anomaly Detection. - Fang He 012; Shuai Yan; Yao Ding 010; Zhensheng Sun; Jianwei Zhao 002; Haojie Hu; Yujie Zhu (Remote. Sens., 2023)

Infrared Image Generation Based on Visual State Space and Contrastive Learning. - Bing Li; Decao Ma; Fang He 012; Zhili Zhang; Daqiao Zhang; Shaopeng Li 002 (Remote. Sens., 2024)

Ensemble graph Laplacian-based anomaly detector for hyperspectral imagery. - Haojie Hu; Danyao Shen; Shuai Yan; Fang He 012; Jiaxin Dong (Vis. Comput., 2024)

Hierarchical Prototype-Aligned Graph Neural Network for Cross-Scene Hyperspectral Image Classification. - Danyao Shen; Haojie Hu; Fang He 012; Fenggan Zhang; Jianwei Zhao 002; Xiaowei Shen (Remote. Sens., 2024)