Haojie Hu

According to our database, Haojie Hu authored at least 18 papers between 2017 and 2024.

Collaborative distances:

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

2024

Ensemble graph Laplacian-based anomaly detector for hyperspectral imagery.

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

Vis. Comput., January, 2024

A Hybrid Forward-Inverse Neural Network With the Transceiver-Configuration-Independent Technique for the Wideband Electromagnetic Inverse Scattering Problem.

Haojie Hu, Liye Xiao, Jiawen Li, Qing Huo Liu

IEEE Trans. Geosci. 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

Multimodule Deep Learning Scheme for Elastic Wave Inversion of Inhomogeneous Objects With High Contrasts.

Lianmu Chen, Liye Xiao, Haojie Hu, Mingwei Zhuang, Qing Huo Liu

IEEE Trans. Geosci. Remote. Sens., 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

Unsupervised Self-Correlated Learning Smoothy Enhanced Locality Preserving Graph Convolution Embedding Clustering for Hyperspectral Images.

Yao Ding, Zhili Zhang, Xiaofeng Zhao, Wei Cai, Nengjun Yang, Haojie Hu, Xianxiang Huang, Yuan Cao, Weiwei Cai

IEEE Trans. Geosci. Remote. Sens., 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

Capped ℓp-norm linear discriminant analysis for robust projections learning.

Zheng Wang, Haojie Hu, Rong Wang, Qianrong Zhang, Feiping Nie, Xuelong Li

Neurocomputing, 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

A Single-Difference Multipath Hemispherical Map for Multipath Mitigation in BDS-2/BDS-3 Short Baseline Positioning.

Chao Liu, Yuan Tao, Haiqiang Xin, Xingwang Zhao, Chunyang Liu, Haojie Hu, Tengfei Zhou

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

Graph Neural Sparsification for Hyperspectral Image Classification with Local and Global Consistency.

Haojie Hu, Minli Yao, Fang He, Fenggan Zhang

Proceedings of the CIKM 2021 Workshops co-located with 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), 2021

2020

Parameter-Free Weighted Multi-View Projected Clustering with Structured Graph Learning.

Rong Wang, Feiping Nie, Zhen Wang, Haojie Hu, Xuelong Li

IEEE Trans. Knowl. Data Eng., 2020

Self-weighted collaborative representation for hyperspectral anomaly detection.

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

Signal Process., 2020

2019

Scalable and Flexible Unsupervised Feature Selection.

Haojie Hu, Rong Wang, Xiaojun Yang, Feiping Nie

Neural Comput., 2019

2018

Fast unsupervised feature selection with anchor graph and ℓ 2, 1-norm regularization.

Haojie Hu, Rong Wang, Feiping Nie, Xiaojun Yang, Weizhong Yu

Multim. Tools Appl., 2018

2017

Time-Aware and Topic-Based Reviewer Assignment.

Hongwei Peng, Haojie Hu, Keqiang Wang, Xiaoling Wang

Proceedings of the Database Systems for Advanced Applications, 2017