An Efficient ID-Based Directed Signature Scheme from Optimal Eta Pairing. - Junhua Ku; Dawei Yun; Bing Zheng; She Wei (ISICA, 2012)

Distributed Extreme Learning Machine with Kernels Based on Mapreduce for Spectral-Spatial Classification of Hyperspectral Image. - Junhua Ku; Bing Zheng (CSE/EUC (1), 2017)

A Design of the Shared Farmland System Based on the Internet of Things Technology and IMS. - Na Chang; Junhua Ku (ISICA (1), 2017)

Intrusion Detection Based on Self-adaptive Differential Evolution Extreme Learning Machine with Gaussian Kernel. - Junhua Ku; Bing Zheng (PAAP, 2017)

Unsupervised Hyperspectral Image Band Selection Based on Deep Subspace Clustering. - Meng Zeng; Yaoming Cai; Zhihua Cai; Xiaobo Liu 001; Peng Hu 001; Junhua Ku (IEEE Geosci. Remote. Sens. Lett., 2019)

Multiple-Instance Learning Approach via Bayesian Extreme Learning Machine. - Peipei Wang; Xinqi Zheng; Junhua Ku; Chunning Wang (IEEE Access, 2020)

Indoor positioning algorithm based on improved convolutional neural network. - Taoyun Zhou; Junhua Ku; Bao-Wang Lian; Yi Zhang (Neural Comput. Appl., 2022)

An Ensemble Framework of Evolutionary Algorithm for Constrained Multi-Objective Optimization. - Junhua Ku; Fei Ming; Wenyin Gong (Symmetry, 2022)

Controllability of Hilfer fractional Langevin evolution equations. - Haihua Wang; Junhua Ku (Frontiers Appl. Math. Stat., 2023)

Offline data-driven optimization based on dual-scale surrogate ensemble. - Junhua Ku; Huixiang Zhen; Wenyin Gong (Memetic Comput., 2023)

A Novel Approach to Optimizing Convolutional Neural Networks for Improved Digital Image Segmentation. - Kongduo Xing; Junhua Ku; Jie Zhao (Int. J. Intell. Syst., 2024)