Kai Hu

According to our database, Kai Hu authored at least 44 papers between 2016 and 2025.

Collaborative distances:

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

2025

Federated Incremental Learning algorithm based on Topological Data Analysis.

Kai Hu, Sheng Gong, Lingxiao Li, Yuantu Luo, Yaogen Li, Shanshan Jiang

Pattern Recognit., 2025

2024

SPNet: Dual-Branch Network with Spatial Supplementary Information for Building and Water Segmentation of Remote Sensing Images.

Wenyu Zhao, Min Xia, Liguo Weng, Kai Hu, Haifeng Lin, Youke Zhang, Ziheng Liu

Remote. Sens., September, 2024

Review of Satellite Remote Sensing of Carbon Dioxide Inversion and Assimilation.

Kai Hu, Xinyan Feng, Qi Zhang, Pengfei Shao, Ziran Liu, Yao Xu, Shiqian Wang, Yuanyuan Wang, Han Wang, Li Di, Min Xia

Remote. Sens., September, 2024

An overview of implementing security and privacy in federated learning.

Kai Hu, Sheng Gong, Qi Zhang, Chaowen Seng, Min Xia, Shanshan Jiang

Artif. Intell. Rev., August, 2024

An Interpolation and Prediction Algorithm for XCO2 Based on Multi-Source Time Series Data.

Kai Hu, Qi Zhang, Xinyan Feng, Ziran Liu, Pengfei Shao, Min Xia, Xiaoling Ye

Remote. Sens., June, 2024

Multi-Scale Fusion Siamese Network Based on Three-Branch Attention Mechanism for High-Resolution Remote Sensing Image Change Detection.

Yan Li, Liguo Weng, Min Xia, Kai Hu, Haifeng Lin

Remote. Sens., May, 2024

Cross-dimensional feature attention aggregation network for cloud and snow recognition of high satellite images.

Kai Hu, Enwei Zhang, Min Xia, Huiqin Wang, Xiaoling Ye, Haifeng Lin

Neural Comput. Appl., May, 2024

FedMMD: A Federated weighting algorithm considering Non-IID and Local Model Deviation.

Kai Hu, Yaogen Li, Shuai Zhang, Jiasheng Wu, Sheng Gong, Shanshan Jiang, Liguo Weng

Expert Syst. Appl., March, 2024

Overview of temporal action detection based on deep learning.

Kai Hu, Chaowen Shen, Tianyan Wang, Keer Xu, Qingfeng Xia, Min Xia, Chengxue Cai

Artif. Intell. Rev., February, 2024

Multi-Level Attention Interactive Network for Cloud and Snow Detection Segmentation.

Li Ding, Min Xia, Haifeng Lin, Kai Hu

Remote. Sens., January, 2024

Multipath Multiscale Attention Network for Cloud and Cloud Shadow Segmentation.

Guowei Gu, Liguo Weng, Min Xia, Kai Hu, Haifeng Lin

IEEE Trans. Geosci. Remote. Sens., 2024

Dual Encoder-Decoder Network for Land Cover Segmentation of Remote Sensing Image.

Zhongchen Wang, Min Xia, Liguo Weng, Kai Hu, Haifeng Lin

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Bitemporal Attention Sharing Network for Remote Sensing Image Change Detection.

Zhongchen Wang, Guowei Gu, Min Xia, Liguo Weng, Kai Hu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Dual-Attention-Guided Multiscale Feature Aggregation Network for Remote Sensing Image Change Detection.

Hongjin Ren, Min Xia, Liguo Weng, Kai Hu, Haifeng Lin

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

SASiamNet: Self-Adaptive Siamese Network for Change Detection of Remote Sensing Image.

Xianxuan Long, Wei Zhuang, Min Xia, Kai Hu, Haifeng Lin

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

A Review of Anthropogenic Ground-Level Carbon Emissions Based on Satellite Data.

Kai Hu, Qi Zhang, Sheng Gong, Fuying Zhang, Liguo Weng, Shanshan Jiang, Min Xia

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

HyCloudX: A Multibranch Hybrid Segmentation Network With Band Fusion for Cloud/Shadow.

Ziwei Hu, Liguo Weng, Min Xia, Kai Hu, Haifeng Lin

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

A review of research on reinforcement learning algorithms for multi-agents.

Kai Hu, Mingyang Li, Zhiqiang Song, Keer Xu, Qingfeng Xia, Ning Sun, Peng Zhou, Min Xia

Neurocomputing, 2024

An overview: Attention mechanisms in multi-agent reinforcement learning.

Kai Hu, Keer Xu, Qingfeng Xia, Mingyang Li, Zhiqiang Song, Lipeng Song, Ning Sun

Neurocomputing, 2024

Multi-granularity siamese transformer-based change detection in remote sensing imagery.

Lei Song, Min Xia, Yao Xu, Liguo Weng, Kai Hu, Haifeng Lin, Ming Qian

Eng. Appl. Artif. Intell., 2024

2023

Action Recognition Based on Multi-Level Topological Channel Attention of Human Skeleton.

Kai Hu, Chaowen Shen, Tianyan Wang, Shuai Shen, Chengxue Cai, Huaming Huang, Min Xia

Sensors, December, 2023

Personalized federated learning based on multi-head attention algorithm.

Shanshan Jiang, Meixia Lu, Kai Hu, Jiasheng Wu, Yaogen Li, Liguo Weng, Min Xia, Haifeng Lin

Int. J. Mach. Learn. Cybern., November, 2023

MSFANet: Multi-Scale Strip Feature Attention Network for Cloud and Cloud Shadow Segmentation.

Kai Chen, Xin Dai, Min Xia, Liguo Weng, Kai Hu, Haifeng Lin

Remote. Sens., October, 2023

Attentional weighting strategy-based dynamic GCN for skeleton-based action recognition.

Kai Hu, Junlan Jin, Chaowen Shen, Min Xia, Liguo Weng

Multim. Syst., August, 2023

Overview of behavior recognition based on deep learning.

Kai Hu, Junlan Jin, Fei Zheng, Liguo Weng, Yiwu Ding

Artif. Intell. Rev., March, 2023

Attention-guided siamese networks for change detection in high resolution remote sensing images.

Hongyang Yin, Liguo Weng, Yan Li, Min Xia, Kai Hu, Haifeng Lin, Ming Qian

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

MCANet: A Multi-Branch Network for Cloud/Snow Segmentation in High-Resolution Remote Sensing Images.

Kai Hu, Enwei Zhang, Min Xia, Liguo Weng, Haifeng Lin

Remote. Sens., February, 2023

Multiscale Location Attention Network for Building and Water Segmentation of Remote Sensing Image.

Xin Dai, Min Xia, Liguo Weng, Kai Hu, Haifeng Lin, Ming Qian

IEEE Trans. Geosci. Remote. Sens., 2023

MCSGNet: A Encoder-Decoder Architecture Network for Land Cover Classification.

Kai Hu, Enwei Zhang, Xin Dai, Min Xia, Fenghua Zhou, Liguo Weng, Haifeng Lin

Remote. Sens., 2023

A multi-stage underwater image aesthetic enhancement algorithm based on a generative adversarial network.

Kai Hu, Chenghang Weng, Chaowen Shen, Tianyan Wang, Liguo Weng, Min Xia

Eng. Appl. Artif. Intell., 2023

2022

SLAM Overview: From Single Sensor to Heterogeneous Fusion.

Weifeng Chen, Chengjun Zhou, Guangtao Shang, Xiyang Wang, Zhenxiong Li, Chonghui Xu, Kai Hu

Remote. Sens., December, 2022

Hyperspectral Snapshot Compressive Imaging With Dense Back-Projection Joint Attention Network.

Yubao Sun, Junru Huang, Liling Zhao, Kai Hu

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

LCDNet: Light-Weighted Cloud Detection Network for High-Resolution Remote Sensing Images.

Kai Hu, Dongsheng Zhang, Min Xia, Ming Qian, Binyu Chen

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

Multiple Attention Mechanism Graph Convolution HAR Model Based on Coordination Theory.

Kai Hu, Yiwu Ding, Junlan Jin, Min Xia, Huaming Huang

Sensors, 2022

Multi-Scale Feature Aggregation Network for Water Area Segmentation.

Kai Hu, Meng Li, Min Xia, Haifeng Lin

Remote. Sens., 2022

An Overview on Visual SLAM: From Tradition to Semantic.

Weifeng Chen, Guangtao Shang, Aihong Ji, Chengjun Zhou, Xiyang Wang, Chonghui Xu, Zhenxiong Li, Kai Hu

Remote. Sens., 2022

Visual saliency prediction using multi-scale attention gated network.

Yubao Sun, Mengyang Zhao, Kai Hu, Shaojing Fan

Multim. Syst., 2022

2021

CDUNet: Cloud Detection UNet for Remote Sensing Imagery.

Kai Hu, Dongsheng Zhang, Min Xia

Remote. Sens., 2021

A novel federated learning approach based on the confidence of federated Kalman filters.

Kai Hu, Jiasheng Wu, Liguo Weng, Yanwen Zhang, Fei Zheng, Zichao Pang, Min Xia

Int. J. Mach. Learn. Cybern., 2021

Federated Learning: A Distributed Shared Machine Learning Method.

Kai Hu, Yaogen Li, Min Xia, Jiasheng Wu, Meixia Lu, Shuai Zhang, Liguo Weng

Complex., 2021

2020

A Marine Object Detection Algorithm Based on SSD and Feature Enhancement.

Kai Hu, Feiyu Lu, Meixia Lu, Zhiliang Deng, Yunping Liu

Complex., 2020

2018

Electric power communication bandwidth prediction based on adaptive extreme learning machine.

Li Di, Zheng Zheng, Song Wang, Ruidong Zhang, Min Xia, Kai Hu

Int. J. Embed. Syst., 2018

2017

An Optimization Strategy for Weighted Extreme Learning Machine based on PSO.

Kai Hu, Zhaodi Zhou, Liguo Weng, Jia Liu, Lihua Wang, Yang Su, Ying Yang

Int. J. Pattern Recognit. Artif. Intell., 2017

2016

Bandwidth Forecasting for Power Communication Using Adaptive Extreme Learning Machine.

Zheng Zheng, Li Di, Song Wang, Min Xia, Kai Hu, Ruidong Zhang

Proceedings of the Cloud Computing and Security - Second International Conference, 2016