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2020 – today
- 2024
[i2]Zefang Liu, Jiahua Luo:
AdaMoLE: Fine-Tuning Large Language Models with Adaptive Mixture of Low-Rank Adaptation Experts. CoRR abs/2405.00361 (2024)- 2022
- [j6]Junliu Zhong, Yanfen Gan, Chi-Man Vong
, Ji-Xiang Yang, Jing-Hong Zhao, Jiahua Luo:
Effective and efficient pixel-level detection for diverse video copy-move forgery types. Pattern Recognit. 122: 108286 (2022) - 2021
- [j5]Jiahua Luo, Chi-Man Vong, Zhenbao Liu, Chuangquan Chen:
An Inverse-Free and Scalable Sparse Bayesian Extreme Learning Machine for Classification Problems. IEEE Access 9: 87543-87551 (2021) - [j4]Jiahua Luo, Chiman Wong, Chi-Man Vong:
Multinomial Bayesian extreme learning machine for sparse and accurate classification model. Neurocomputing 423: 24-33 (2021) - [j3]Jiahua Luo, Yanfen Gan, Chi-Man Vong, Chi-Man Wong, Chuangquan Chen:
Scalable and memory-efficient sparse learning for classification with approximate Bayesian regularization priors. Neurocomputing 457: 106-116 (2021) - [i1]Jiahua Luo, Chi-Man Vong, Jie Du:
Sparse Bayesian Learning with Diagonal Quasi-Newton Method For Large Scale Classification. CoRR abs/2107.08195 (2021)
2010 – 2019
- 2015
- [j2]Ka In Wong, Chi-Man Vong, Pak-Kin Wong, Jiahua Luo:
Sparse Bayesian extreme learning machine and its application to biofuel engine performance prediction. Neurocomputing 149: 397-404 (2015) - 2014
- [j1]Jiahua Luo, Chi-Man Vong, Pak-Kin Wong:
Sparse Bayesian Extreme Learning Machine for Multi-classification. IEEE Trans. Neural Networks Learn. Syst. 25(4): 836-843 (2014) - 2012
- [c1]Jiahua Luo, Yain-Whar Si, Simon Fong:
Trend following with float-encoding genetic algorithm. ICDIM 2012: 173-176
Coauthor Index
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