Trend following with float-encoding genetic algorithm. - Jiahua Luo; Yain-Whar Si; Simon Fong 001 (ICDIM, 2012)

Sparse Bayesian Extreme Learning Machine for Multi-classification. - Jiahua Luo; Chi-Man Vong; Pak-Kin Wong 001 (IEEE Trans. Neural Networks Learn. Syst., 2014)

Sparse Bayesian extreme learning machine and its application to biofuel engine performance prediction. - Ka In Wong; Chi-Man Vong; Pak-Kin Wong 001; Jiahua Luo (Neurocomputing, 2015)

An Inverse-Free and Scalable Sparse Bayesian Extreme Learning Machine for Classification Problems. - Jiahua Luo; Chi-Man Vong; Zhenbao Liu; Chuangquan Chen (IEEE Access, 2021)

Sparse Bayesian Learning with Diagonal Quasi-Newton Method For Large Scale Classification. - Jiahua Luo; Chi-Man Vong; Jie Du 001 (CoRR, 2021)

Scalable and memory-efficient sparse learning for classification with approximate Bayesian regularization priors. - Jiahua Luo; Yanfen Gan; Chi-Man Vong; Chi-Man Wong; Chuangquan Chen (Neurocomputing, 2021)

Multinomial Bayesian extreme learning machine for sparse and accurate classification model. - Jiahua Luo; Chiman Wong; Chi-Man Vong (Neurocomputing, 2021)

Effective and efficient pixel-level detection for diverse video copy-move forgery types. - Junliu Zhong; Yanfen Gan; Chi-Man Vong; Ji-Xiang Yang; Jing-Hong Zhao; Jiahua Luo (Pattern Recognit., 2022)

AdaMoLE: Fine-Tuning Large Language Models with Adaptive Mixture of Low-Rank Adaptation Experts. - Zefang Liu; Jiahua Luo (CoRR, 2024)

Complexity-optimized sparse Bayesian learning for scalable classification tasks. - Jiahua Luo; Junyang Chen; Junyi Xiang; Chi-Man Wong; Chi-Man Vong (Inf. Sci., 2025)