Yong Liang
Orcid: 0000-0002-2858-2810Affiliations:
- Peng Cheng Laboratory, Shenzhen, China
- Macau University of Science and Technology, Faculty of Information Technology, Taipa, Macau
- Chinese University of Hong Kong, Hong Kong (PhD 2003)
According to our database1,
Yong Liang
authored at least 71 papers
between 2002 and 2024.
Collaborative distances:
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Bibliography
2024
MUMA: A Multi-Omics Meta-Learning Algorithm for Data Interpretation and Classification.
IEEE J. Biomed. Health Informatics, April, 2024
IEEE Internet Things J., March, 2024
OR-EDI: A Per-Edge One-Round Data Integrity Verification Scheme for Mobile Edge Computing.
IEEE Trans. Netw. Sci. Eng., 2024
2023
Integration of multi-omics data using adaptive graph learning and attention mechanism for patient classification and biomarker identification.
Comput. Biol. Medicine, September, 2023
A distributed sparse logistic regression with L<sub>1/2</sub> regularization for microarray biomarker discovery in cancer classification.
Soft Comput., March, 2023
Self-supervised learning-based Multi-Scale feature Fusion Network for survival analysis from whole slide images.
Comput. Biol. Medicine, February, 2023
Improved Computational Drug-Repositioning by Self-Paced Non-Negative Matrix Tri-Factorization.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
2022
IEEE Trans. Veh. Technol., 2022
IEEE Trans. Cybern., 2022
Sparse principal component analysis based on genome network for correcting cell type heterogeneity in epigenome-wide association studies.
Medical Biol. Eng. Comput., 2022
Int. J. Intell. Syst., 2022
MHDMF: Prediction of miRNA-disease associations based on Deep Matrix Factorization with Multi-source Graph Convolutional Network.
Comput. Biol. Medicine, 2022
A novel meta-analysis based on data augmentation and elastic data shared lasso regularization for gene expression.
BMC Bioinform., 2022
Predicting multiple types of miRNA-disease associations using adaptive weighted nonnegative tensor factorization with self-paced learning and hypergraph regularization.
Briefings Bioinform., 2022
2021
A Novel Cox Proportional Hazards Model for High-Dimensional Genomic Data in Cancer Prognosis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
ERFR-CTC: Exploiting Residual Frequency Resources in Physical-Level Cross-Technology Communication.
IEEE Internet Things J., 2021
Int. J. Intell. Syst., 2021
RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining.
CoRR, 2021
UMLF-COVID: an unsupervised meta-learning model specifically designed to identify X-ray images of COVID-19 patients.
BMC Medical Imaging, 2021
Proceedings of the ICBBS 2021: 10th International Conference on Bioinformatics and Biomedical Science, Xiamen, China, October 29, 2021
2020
IEEE Trans. Veh. Technol., 2020
IEEE Trans. Green Commun. Netw., 2020
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
A greedy screening test strategy to accelerate solving LASSO problems with small regularization parameters.
Soft Comput., 2020
A conjugate gradient projection method for solving equations with convex constraints.
J. Comput. Appl. Math., 2020
Sparse Logistic Regression With L<sub>1/2</sub> Penalty for Emotion Recognition in Electroencephalography Classification.
Frontiers Neuroinformatics, 2020
CoRR, 2020
A Modified Spectral Gradient Projection Method for Solving Non-Linear Monotone Equations With Convex Constraints and Its Application.
IEEE Access, 2020
IEEE Access, 2020
2019
A Feature Extraction Method Based on Differential Entropy and Linear Discriminant Analysis for Emotion Recognition.
Sensors, 2019
Improved Prediction of Drug-Target Interactions Using Self-Paced Learning with Collaborative Matrix Factorization.
J. Chem. Inf. Model., 2019
An integrative analysis system of gene expression using self-paced learning and SCAD-Net.
Expert Syst. Appl., 2019
IEEE Access, 2019
MSPL: Multimodal Self-Paced Learning for Multi-Omics Feature Selection and Data Integration.
IEEE Access, 2019
2018
Hybrid L<sub>1/2 + 2</sub> method for gene selection in the Cox proportional hazards model.
Comput. Methods Programs Biomed., 2018
The <i>L</i><sub><i>1/2</i></sub> regularization network Cox model for analysis of genomic data.
Comput. Biol. Medicine, 2018
Robust Sparse Logistic Regression With the L<sub>q</sub> (0 < q < 1) Regularization for Feature Selection Using Gene Expression Data.
IEEE Access, 2018
IEEE Access, 2018
Proceedings of the Intelligence Science and Big Data Engineering, 2018
2017
Molecular pathway identification using a new L<sub>1/2</sub> solver and biological network-constrained model.
Int. J. Data Min. Bioinform., 2017
2016
Low-rank and sparse matrix decomposition based on S1/2 and L1/2 regularizations in dynamic MRI.
Proceedings of the Sixth International Conference on Image Processing Theory, 2016
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016
2015
The L<sub>1/2</sub> regularization approach for survival analysis in the accelerated failure time model.
Comput. Biol. Medicine, 2015
2014
Soft Comput., 2014
Appl. Soft Comput., 2014
2013
Sparse logistic regression with a L1/2 penalty for gene selection in cancer classification.
BMC Bioinform., 2013
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2013
2012
The essential ability of sparse reconstruction of different compressive sensing strategies.
Sci. China Inf. Sci., 2012
Proceedings of the Advances in Swarm Intelligence - Third International Conference, 2012
Iterative L1/2 Regularization Algorithm for Variable Selection in the Cox Proportional Hazards Model.
Proceedings of the Advances in Swarm Intelligence - Third International Conference, 2012
2011
Genetic Algorithm with adaptive elitist-population strategies for multimodal function optimization.
Appl. Soft Comput., 2011
2010
2008
Evolutionary drug scheduling models with different toxicity metabolism in cancer chemotherapy.
Appl. Soft Comput., 2008
2007
IEEE Trans. Syst. Man Cybern. Part B, 2007
A novel splicing/decomposable binary encoding and its operators for genetic and evolutionary algorithms.
Appl. Math. Comput., 2007
Proceedings of the Advances in Neural Networks, 2007
Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007
2006
IEEE Trans. Inf. Technol. Biomed., 2006
Evolution strategies with exclusion-based selection operators and a Fourier series auxiliary function.
Appl. Math. Comput., 2006
Automating the drug scheduling with different toxicity clearance in cancer chemotherapy via evolutionary computation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006
Proceedings of the Genetic and Evolutionary Computation Conference, 2006
Optimal Control of a Cancer Chemotherapy Problem with Different Toxic Elimination Processes.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006
2005
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
2004
Proceedings of the Genetic and Evolutionary Computation, 2004
2003
Efficiency speed-up strategies for evolutionary computation: fundamentals and fast-GAs.
Appl. Math. Comput., 2003
Evolution Strategies with a Fourier Series Auxiliary Function for Difficult Function Optimization.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2003
Adaptive Elitist-Population Based Genetic Algorithm for Multimodal Function Optimization.
Proceedings of the Genetic and Evolutionary Computation, 2003
2002
Proceedings of the 2002 Congress on Evolutionary Computation, 2002