Kunhong Liu
Orcid: 0000-0002-1222-8876Affiliations:
- Xiamen University, School of Informatics, China
According to our database1,
Kunhong Liu
authored at least 91 papers
between 2004 and 2024.
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Bibliography
2024
An adaptive error-correcting output codes algorithm based on gene expression programming and similarity measurement matrix.
Pattern Recognit., January, 2024
2023
EDST: a decision stump based ensemble algorithm for synergistic drug combination prediction.
BMC Bioinform., December, 2023
A self-adaptive soft-recoding strategy for performance improvement of error-correcting output codes.
Pattern Recognit., November, 2023
Feature Elimination through Data Complexity for Error-Correcting Output Codes based micro-expression recognition.
Signal Process. Image Commun., July, 2023
Revealing concealed spontaneous facial micro-expression: Are we a step closer to unveil real-life behavioral expressions?
Neurocomputing, June, 2023
Block Division Convolutional Network With Implicit Deep Features Augmentation for Micro-Expression Recognition.
IEEE Trans. Multim., 2023
Drop to Transfer: Learning Transferable Features for Robot Tactile Material Recognition in Open Scene.
IEEE Trans. Instrum. Meas., 2023
The design of error-correcting output codes based deep forest for the micro-expression recognition.
Appl. Intell., 2023
Combining Structure Embedding and Text Semantics for Efficient Knowledge Graph Completion.
Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering, 2023
Emo-DNA: Emotion Decoupling and Alignment Learning for Cross-Corpus Speech Emotion Recognition.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023
A Multi-View Learning-Based Bayesian Ruleset Extraction Algorithm For Accurate Hepatotoxicity Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
GM-TCNet: Gated Multi-scale Temporal Convolutional Network using Emotion Causality for Speech Emotion Recognition.
Speech Commun., 2022
The design of evolutionary feature selection operator for the micro-expression recognition.
Memetic Comput., 2022
Feature space and label space selection based on Error-correcting output codes for partial label learning.
Inf. Sci., 2022
Neurocomputing, 2022
Briefings Bioinform., 2022
The heterogeneous ensemble of deep forest and deep neural networks for micro-expressions recognition.
Appl. Intell., 2022
The design of soft recoding-based strategies for improving error-correcting output codes.
Appl. Intell., 2022
Appl. Intell., 2022
Proceedings of the MultiMedia Modeling - 28th International Conference, 2022
CTL-MTNet: A Novel CapsNet and Transfer Learning-Based Mixed Task Net for Single-Corpus and Cross-Corpus Speech Emotion Recognition.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
A Multi-View Learning-Based Rule Extraction Algorithm For Accurate Hepatotoxicity Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Signal Process. Image Commun., 2021
Learning Behavior Analysis Using Clustering and Evolutionary Error Correcting Output Code Algorithms in Small Private Online Courses.
Sci. Program., 2021
The Investigation of Different Loss Functions with Capsule Networks for Speech Emotion Recognition.
Sci. Program., 2021
Partial label learning based on label distributions and error-correcting output codes.
Soft Comput., 2021
Improving deep forest by ensemble pruning based on feature vectorization and quantum walks.
Soft Comput., 2021
Soft Comput., 2021
A novel error-correcting output codes based on genetic programming and ternary digit operators.
Pattern Recognit., 2021
The design of dynamic ensemble selection strategy for the error-correcting output codes family.
Inf. Sci., 2021
A direct slicing technique for the 3D printing of implicitly represented medical models.
Comput. Biol. Medicine, 2021
A Multi-Resolution Deep Forest Framework with Hybrid Feature Fusion for CT Whole Heart Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
FES-RF: A Feature Ensemble Selection Based Random Forest Method For Accurate Cancer Screening.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Evaluation of the Spatio-Temporal Features and GAN for Micro-Expression Recognition System.
J. Signal Process. Syst., 2020
Swarm Evol. Comput., 2020
A ternary bitwise calculator based genetic algorithm for improving error correcting output codes.
Inf. Sci., 2020
The design of variable-length coding matrix for improving error correcting output codes.
Inf. Sci., 2020
High-quality vascular modeling and modification with implicit extrusion surfaces for blood flow computations.
Comput. Methods Programs Biomed., 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
2019
Swarm Evol. Comput., 2019
A novel ECOC algorithm for multiclass microarray data classification based on data complexity analysis.
Pattern Recognit., 2019
Integrated Neural Network and Machine Vision Approach For Leather Defect Classification.
CoRR, 2019
IEEE Access, 2019
Proceedings of the Knowledge Science, Engineering and Management, 2019
A Dynamic Ensemble Selection Strategy for Improving Error Correcting Output Codes Algorithm.
Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019
Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019
Proceedings of the Image and Graphics Technologies and Applications, 2019
2018
Accurate geometry modeling of vasculatures using implicit fitting with 2D radial basis functions.
Comput. Aided Geom. Des., 2018
Proceedings of the 14th International Conference on Semantics, Knowledge and Grids, 2018
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Proceedings of the Intelligent Computing Theories and Application, 2018
2017
Proceedings of the 10th International Symposium on Computational Intelligence and Design, 2017
Proceedings of the 10th International Symposium on Computational Intelligence and Design, 2017
An ECOC Approach for Microarray Data Classification Based on Minimizing Feature Related Complexities.
Proceedings of the 10th International Symposium on Computational Intelligence and Design, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
2016
A Hierarchical Ensemble of ECOC for cancer classification based on multi-class microarray data.
Inf. Sci., 2016
Selection of Optimal Cutting Parameters in Parallel Turnings Using Genetic Heuristics.
Proceedings of the Intelligent Computing Theories and Application, 2016
2015
Comput. Math. Methods Medicine, 2015
2014
Proceedings of the Intelligent Computing in Bioinformatics - 10th International Conference, 2014
Fusing Decision Trees Based on Genetic Programming for Classification of Microarray Datasets.
Proceedings of the Intelligent Computing Methodologies - 10th International Conference, 2014
2013
2011
The Design of Evolutionary Multiple Classifier System for the Classification of Microarray Data.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011
2009
Ensemble component selection for improving ICA based microarray data prediction models.
Pattern Recognit., 2009
Comput. Biol. Medicine, 2009
A genetic programming-based approach to the classification of multiclass microarray datasets.
Bioinform., 2009
Proceedings of the Advances in Neural Networks, 2009
A GA-Based Approach to ICA Feature Selection: An Efficient Method to Classify Microarray Datasets.
Proceedings of the Advances in Neural Networks, 2009
A New Approach to Improving ICA-Based Models for the Classification of Microarray Data.
Proceedings of the Advances in Neural Networks, 2009
Proceedings of the 2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2009
2008
Pattern Recognit., 2008
Photonic Netw. Commun., 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008
2007
Proceedings of the Advances in Evolutionary Computing for System Design, 2007
Proceedings of the International Joint Conference on Neural Networks, 2007
Proceedings of the International Joint Conference on Neural Networks, 2007
Multi-sub-swarm particle swarm optimization algorithm for multimodal function optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
Improving the performance of ICA based microarray data prediction models with genetic algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
2006
A Genetic Algorithm Approach to the Grooming of Dynamic Traffic in Tree and Star Networks with Bifurcation
CoRR, 2006
2005
Combining GA with Splitting Methods for Rearrangeably Nonblocking Grooming of Dynamic Traffic in SONET Ring Networks.
Photonic Netw. Commun., 2005
2004
A new approach to improving the grooming performance with dynamic traffic in SONET rings.
Comput. Networks, 2004