Junhua Ku

According to our database, Junhua Ku authored at least 14 papers between 2012 and 2026.

Collaborative distances:

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

2026

A Coordinate Attention-Based Fusion Network for HSI-LiDAR Classification With Sharpness-Aware Optimization and Label Propagation.

Jie Zhao, Xiaoting Jia, Junhua Ku

IEEE Access, 2026

Multi-Scale Graph Wavelet Convolutional Transformer for HSI-LiDAR Data Fusion and Classification.

Junhua Ku, Jie Zhao, Xiaoting Jia

IEEE Access, 2026

2025

Graph Wavelet-Based Multiscale Convolutional Network for HSI Classification.

Junhua Ku, Jie Zhao

IEEE Access, 2025

2024

A Novel Approach to Optimizing Convolutional Neural Networks for Improved Digital Image Segmentation.

Kongduo Xing, Junhua Ku, Jie Zhao

Int. J. Intell. Syst., 2024

2023

Offline data-driven optimization based on dual-scale surrogate ensemble.

Junhua Ku, Huixiang Zhen, Wenyin Gong

Memetic Comput., June, 2023

Controllability of Hilfer fractional Langevin evolution equations.

Haihua Wang, Junhua Ku

Frontiers Appl. Math. Stat., 2023

2022

An Ensemble Framework of Evolutionary Algorithm for Constrained Multi-Objective Optimization.

Junhua Ku, Fei Ming, Wenyin Gong

Symmetry, 2022

Indoor positioning algorithm based on improved convolutional neural network.

Taoyun Zhou, Junhua Ku, Bao-Wang Lian, Yi Zhang

Neural Comput. Appl., 2022

2020

Multiple-Instance Learning Approach via Bayesian Extreme Learning Machine.

Peipei Wang, Xinqi Zheng, Junhua Ku, Chunning Wang

IEEE Access, 2020

2019

Unsupervised Hyperspectral Image Band Selection Based on Deep Subspace Clustering.

Meng Zeng, Yaoming Cai, Zhihua Cai, Xiaobo Liu, Peng Hu, Junhua Ku

IEEE Geosci. Remote. Sens. Lett., 2019

2017

Intrusion Detection Based on Self-adaptive Differential Evolution Extreme Learning Machine with Gaussian Kernel.

Junhua Ku, Bing Zheng

Proceedings of the Parallel Architecture, Algorithm and Programming, 2017

A Design of the Shared Farmland System Based on the Internet of Things Technology and IMS.

Na Chang, Junhua Ku

Proceedings of the Computational Intelligence and Intelligent Systems, 2017

Distributed Extreme Learning Machine with Kernels Based on Mapreduce for Spectral-Spatial Classification of Hyperspectral Image.

Junhua Ku, Bing Zheng

Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017

2012

An Efficient ID-Based Directed Signature Scheme from Optimal Eta Pairing.

Junhua Ku, Dawei Yun, Bing Zheng, She Wei

Proceedings of the Computational Intelligence and Intelligent Systems, 2012