Yong Peng and Bao-Liang Lu. Discriminative extreme learning machine with supervised sparsity preserving for image classification. Neurocomputing, DOI:10.1016/j.neucom.2016.05.113, 2016.
Yong Peng and Bao-Liang Lu. Robust structured sparse representation via half-quadratic optimization for face recognition. Multimedia Tools and Applications, DOI: 10.1007/s11042-016-3510-3, 2016.
Yong Peng and Bao-Liang Lu. Discriminative manifold extreme learning machine and applications to image and EEG signal classification. Neurocomputing, 174:265-277, 2016.
Yong Peng, Wei-Long Zheng and Bao-Liang Lu. An unsupervised discriminative extreme learning machine and its applications to data clustering. Neurocomputing, 174: 250-264, 2016.
Yong Peng, Bao-Liang Lu and Suhang Wang. Enhanced low-rank representation via sparse manifold adaption for semi-supervised learning. Neural Networks, 65: 1-17, 2015.
Yong Peng, Xianzhong Long and Bao-Liang Lu. Graph based semi-supervised learning via structure preserving low-rank representation. Neural Processing Letters, 41(3): 389-406, 2015.
Yong Peng and Bao-Liang Lu. Hybrid learning clonal selection algorithm. Information Sciences, 296: 128-146, 2015.
Yong Peng, Suhang Wang, Xianzhong Long and Bao-Liang Lu. Discriminative graph regularized extreme learning machine and its application to face recognition. Neurocomputing, 149: 340-353, 2015. (ESI High Cited Paper 1%, till September 2016)
Yong Peng and Bao-Liang Lu. A hierarchical particle swarm optimizer with latin sampling based memetic algorithm for numerical optimization. Applied Soft Computing, 13(5): 2823-2836, 2013.
Yong Peng and Bao-Liang Lu. Robust group sparse representation via half-quadratic optimization for face recognition. Canadian Conference on Electrical and Computer Engineering, pages 146-151, 2015.
Yong Peng, Jia-Yi Zhu, Wei-Long Zheng and Bao-Liang Lu. EEG based emotion recognition with manifold regularized extreme learning machine. Annual Conference of IEEE Engineering in Medicine and Biology Society, pages 974-977, 2014.
Yong Peng, Suhang Wang, Shen Wang and Bao-Liang Lu. Structure preserving low-rank representation for semi-supervised face recognition. International Conference on Neural Information Processing, pages 148-155, 2013.
Yong Peng, Shen Wang and Bao-Liang Lu. Marginalized denoising autoencoder via graph regularization for domain adaptation. International Conference on Neural Information Processing, pages 156-163, 2013.
Yong Peng and Bao-Liang Lu. Immune clonal algorithm based feature selection for epileptic EEG classification. International Conference on Information Sciences, Signal Processing and Applications, pages 848-853, 2012.
