Publications by Huang, Min
In Journal (refereed)
1. | P. Cao, X. Liu, J. Yang, D. Zhao, M. Huang, O. Zaiane. "Generalized fused group lasso regularized multi-task feature learning for predicting cognitive outcomes in Alzheimers disease". Computer Methods and Programs in Biomedicine, 162, pp 19-45, August 2018. |
2. | P. Cao, X. Liu, S. Liu, J. Yang, D. Zhao, M. Huang, O. Zaiane. "L_2,1 - L_1 regularized nonlinear multi-task representation learning for cognitive performance prediction of Alzheimer's disease". Pattern Recognition, 79, pp 195-215, July 2018. |
3. | P. Cao, X. Liu, J. Yang, D. Zhao, M. Huang, J. Zhang, O. Zaiane. "Nonlinearity-Aware based dimensionality reduction and over-sampling for AD/MCI classification from MRI Measures". Computers in Biology and Medicine, 91, pp 21-37, December 2017. |
4. | P. Cao, X. Liu, J. Yang, D. Zhao, W. Li, M. Huang, O. Zaiane. "A Multi-kernel based framework for heterogeneous feature selection and oversampling for computer-aided detection of pulmonary nodules". Pattern Recognition, 64, pp 327-346, April 2017. |
5. | P. Cao, X. Liu, D. Zhao, M. Huang, O. Zaiane, J. Zhang, W. Li. "L2,1-norm regularized multi-kernel based joint nonlinear feature selection and over-sampling for imbalanced data classification". Neurocomputing, 234(C), pp 38-57, April 2017. |
6. | P. Cao, X. Liu, D. Zhao, M. Huang, O. Zaiane, J. Zhang, W. Li. "A L2,1 norm regularized multi-kernel learning for false positive reduction in Lung nodule CAD". Computer Methods and Programs in Biomedicine, 140(C), pp 211-231, March 2017. |
In Conference (refereed)
7. | P. Cao, S. Tang, M. Huang, J. Yang, D. Zhao, A. Trabelsi, O. Zaiane. "Feature-aware Multi-task feature learning for Predicting Cognitive Outcomes in Alzheimer’s disease". IEEE International Conference on Bioinformatics and Biomedicine , (ed: Illhoi Yoo, Jinbo Bi, Xiaohua Hu), pp n/a, November 2019. |
In Workshop
8. | P. Cao, Z. Teng, M. Huang, J. Yang, D. Zhao, A. Trabelsi, O. Zaiane. "An ensemble framework with l21-norm regularized hypergraph laplacian multi-label learning for clinical data prediction". International Workshop on Biomedical and Health Informatics, (ed: Illhoi Yoo, Jinbo Bi, Xiaohua Hu), pp 1436-1442, November 2019. |