Hailong Ning

According to our database, Hailong Ning authored at least 19 papers between 2021 and 2024.

Collaborative distances:

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

2024

Hierarchical Semantic-Guided Contextual Structure-Aware Network for Spectral Satellite Image Dehazing.

Lei Yang, Jianzhong Cao, Hua Wang, Sen Dong, Hailong Ning

Remote. Sens., May, 2024

An ensemble learning-enhanced multitask learning method for continuous affect recognition from facial images.

Ercheng Pei, Zhanxuan Hu, Lang He, Hailong Ning, Abel Díaz Berenguer

Expert Syst. Appl., February, 2024

Orientational Clustering Learning for Open-Set Hyperspectral Image Classification.

Hao Xu, Wenjing Chen, Cheng Tan, Hailong Ning, Hao Sun, Wei Xie

IEEE Geosci. Remote. Sens. Lett., 2024

Lightweight Structure-Aware Transformer Network for Remote Sensing Image Change Detection.

Tao Lei, Yetong Xu, Hailong Ning, Zhiyong Lv, Chongdan Min, Yaochu Jin, Asoke K. Nandi

IEEE Geosci. Remote. Sens. Lett., 2024

Neural collapse inspired semi-supervised learning with fixed classifier.

Zhanxuan Hu, Yichen Wang, Hailong Ning, Yonghang Tai, Feiping Nie

Inf. Sci., 2024

2023

Mutual-Taught Deep Clustering.

Zhanxuan Hu, Yichen Wang, Hailong Ning, Danyang Wu, Feiping Nie

Knowl. Based Syst., December, 2023

Scale-wise interaction fusion and knowledge distillation network for aerial scene recognition.

Hailong Ning, Tao Lei, Mengyuan An, Hao Sun, Zhanxuan Hu, Asoke K. Nandi

CAAI Trans. Intell. Technol., December, 2023

Ultralightweight Spatial-Spectral Feature Cooperation Network for Change Detection in Remote Sensing Images.

Tao Lei, Xinzhe Geng, Hailong Ning, Zhiyong Lv, Maoguo Gong, Yaochu Jin, Asoke K. Nandi

IEEE Trans. Geosci. Remote. Sens., 2023

Lightweight Structure-aware Transformer Network for VHR Remote Sensing Image Change Detection.

Tao Lei, Yetong Xu, Hailong Ning, Zhiyong Lv, Chongdan Min, Yaochu Jin, Asoke K. Nandi

CoRR, 2023

Cascaded attention-induced difference representation learning for multispectral change detection.

Wuxia Zhang, Qinyu Zhang, Hailong Ning, Xiaoqiang Lu

Int. J. Appl. Earth Obs. Geoinformation, 2023

2022

Disentangled Representation Learning for Cross-Modal Biometric Matching.

Hailong Ning, Xiangtao Zheng, Xiaoqiang Lu, Yuan Yuan

IEEE Trans. Multim., 2022

Semantics-Consistent Representation Learning for Remote Sensing Image-Voice Retrieval.

Hailong Ning, Bin Zhao, Yuan Yuan

IEEE Trans. Geosci. Remote. Sens., 2022

Difference Enhancement and Spatial-Spectral Nonlocal Network for Change Detection in VHR Remote Sensing Images.

Tao Lei, Jie Wang, Hailong Ning, Xingwu Wang, Dinghua Xue, Qi Wang, Asoke K. Nandi

IEEE Trans. Geosci. Remote. Sens., 2022

Local and Global Feature Learning With Kernel Scale-Adaptive Attention Network for VHR Remote Sensing Change Detection.

Tao Lei, Dinghua Xue, Hailong Ning, Shuangming Yang, Zhiyong Lv, Asoke K. Nandi

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Audio-visual collaborative representation learning for Dynamic Saliency Prediction.

Hailong Ning, Bin Zhao, Zhanxuan Hu, Lang He, Ercheng Pei

Knowl. Based Syst., 2022

2021

Bio-Inspired Representation Learning for Visual Attention Prediction.

Yuan Yuan, Hailong Ning, Xiaoqiang Lu

IEEE Trans. Cybern., 2021

Audio description from image by modal translation network.

Hailong Ning, Xiangtao Zheng, Yuan Yuan, Xiaoqiang Lu

Neurocomputing, 2021

Delving into Rectifiers in Style-Based Image Translation.

Yipeng Zhang, Bingliang Hu, Hailong Ning, Quang Wang

CoRR, 2021

Bio-Inspired Audio-Visual Cues Integration for Visual Attention Prediction.

Yuan Yuan, Hailong Ning, Bin Zhao

CoRR, 2021