Feng Yang
Orcid: 0000-0002-7183-5756Affiliations:
- Agency for Science, Technology and Research (A STAR), Institute of High Performance Computing, Department of Computing Science, Singapore
- Nanyang Technological University, Singapore (PhD 2011)
According to our database1,
Feng Yang
authored at least 24 papers
between 2009 and 2024.
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Bibliography
2024
A surrogate-assisted extended generative adversarial network for parameter optimization in free-form metasurface design.
Neural Networks, 2024
2022
SLMGAN: Single-layer metasurface design with symmetrical free-form patterns using generative adversarial networks.
Appl. Soft Comput., 2022
Proceedings of the 17th International Conference on Control, 2022
Proceedings of the 17th International Conference on Control, 2022
2021
Predicting tool wear size across multi-cutting conditions using advanced machine learning techniques.
J. Intell. Manuf., 2021
2020
Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020
2019
Proceedings of the TENCON 2019, 2019
Proceedings of the TENCON 2019, 2019
A Multi-channel Deep Learning Approach for Segmentation of the Left Ventricular Endocardium from Cardiac Images.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
Multi-dimensional proprio-proximus machine learning for assessment of myocardial infarction.
Comput. Medical Imaging Graph., 2018
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
IEEE Access, 2017
2016
Health Index-Based Prognostics for Remaining Useful Life Predictions in Electrical Machines.
IEEE Trans. Ind. Electron., 2016
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
2015
Emphasizing Minority Class in LDA for Feature Subset Selection on High-Dimensional Small-Sized Problems.
IEEE Trans. Knowl. Data Eng., 2015
Proceedings of the Computing in Cardiology, 2015
2014
Evol. Syst., 2014
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014
2013
IEEE Trans. Neural Networks Learn. Syst., 2013
Improving robustness of gene ranking by multi-criterion combination with novel gene importance transformation.
Int. J. Data Min. Bioinform., 2013
2011
IEEE ACM Trans. Comput. Biol. Bioinform., 2011
Regularized linear discriminant analysis and its recursive implementation for gene subset selection.
Proceedings of the 2011 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2011
2010
Improving robustness of gene ranking by resampling and permutation based score correction and normalization.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010
2009
Proceedings of the 8th IEEE/ACIS International Conference on Computer and Information Science, 2009