Linkai Luo
Orcid: 0000-0001-7059-9096
According to our database1,
Linkai Luo
authored at least 48 papers
between 2006 and 2025.
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Bibliography
2025
MaxMin-L2-SVC-NCH: A novel approach for support vector classifier training and parameter selection.
Neurocomputing, 2025
2024
BRAVE: A cascaded generative model with sample attention for robust few shot image classification.
Neurocomputing, 2024
2023
IEEE Trans. Neural Networks Learn. Syst., October, 2023
Hybrid knowledge distillation from intermediate layers for efficient Single Image Super-Resolution.
Neurocomputing, October, 2023
Compressing convolutional neural networks with cheap convolutions and online distillation.
Displays, July, 2023
CoRR, 2023
Constraints-Aware Training (CAT) to Enable Software-Hardware Co-design for Memristor-based Analog Neuromorphic Chip.
Proceedings of the 24th IEEE International Conference on High Performance Switching and Routing, 2023
2022
Bridging the Semantic Gap Between Customer Needs and Design Specifications Using User-Generated Content.
IEEE Trans. Engineering Management, 2022
Neural Process. Lett., 2022
Int. J. Speech Technol., 2022
COVID-19 personal health mention detection from tweets using dual convolutional neural network.
Expert Syst. Appl., 2022
Appl. Intell., 2022
Identifying COVID-19 Personal Health Mentions From Tweets Using Masked Attention Model.
IEEE Access, 2022
2020
An unsupervised keyphrase extraction model by incorporating structural and semantic information.
Prog. Artif. Intell., 2020
Neurocomputing, 2020
Proceedings of the ICCPR 2020: 9th International Conference on Computing and Pattern Recognition, Xiamen, China, October 30, 2020
2019
Training convolutional neural networks with cheap convolutions and online distillation.
CoRR, 2019
IEEE Access, 2019
A Method of Speaker Recognition for Small-scale Speakers Based on One-versus-rest and Neural Network.
Proceedings of the 14th International Conference on Computer Science & Education, 2019
2018
An alternate method between generative objective and discriminative objective in training classification Restricted Boltzmann Machine.
Knowl. Based Syst., 2018
Neurocomputing, 2018
CoRR, 2018
Proceedings of the Neural Information Processing - 25th International Conference, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018
Proceedings of the Sixth International Workshop on Natural Language Processing for Social Media, 2018
2017
Improving the integration of piece wise linear representation and weighted support vector machine for stock trading signal prediction.
Appl. Soft Comput., 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017
2016
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016
Finding the clusters with potential value in financial time series based on agglomerative hierarchical clustering.
Proceedings of the 11th International Conference on Computer Science & Education, 2016
Proceedings of the 11th International Conference on Computer Science & Education, 2016
2015
Iterative improvement of parameter estimation for model migration by means of sequential experiments.
Comput. Chem. Eng., 2015
Structural damage detection based on posteriori probability support vector machine and Dempster-Shafer evidence theory.
Appl. Soft Comput., 2015
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
2014
Proceedings of the 10th International Conference on Natural Computation, 2014
2013
Using the Maximum Between-Class Variance for Automatic Gridding of cDNA Microarray Images.
IEEE ACM Trans. Comput. Biol. Bioinform., 2013
Neural Comput. Appl., 2013
Integrating piecewise linear representation and weighted support vector machine for stock trading signal prediction.
Appl. Soft Comput., 2013
2012
Proceedings of the Pattern Recognition - Chinese Conference, 2012
2011
Improving the Computational Efficiency of Recursive Cluster Elimination for Gene Selection.
IEEE ACM Trans. Comput. Biol. Bioinform., 2011
Methods of forward feature selection based on the aggregation of classifiers generated by single attribute.
Comput. Biol. Medicine, 2011
2010
Gene Selection Using Random Forest and Proximity Differences Criterion on DNA Microarray Data.
J. Convergence Inf. Technol., 2010
A New Parameter Selection Method for Support Vector Machine Based on the Decision Value.
J. Convergence Inf. Technol., 2010
2009
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009
2008
Proceedings of the Fourth International Conference on Natural Computation, 2008
2006
A Strategy of Maximizing the Sum of Weighted Margins for Ranking Multi Classification Problem.
Proceedings of the Ninth International Conference on Control, 2006
Proceedings of the Ninth International Conference on Control, 2006