Yong Liang

Orcid: 0000-0002-2858-2810

Affiliations:
  • 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 81 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

MUMA: A Multi-Omics Meta-Learning Algorithm for Data Interpretation and Classification.
IEEE J. Biomed. Health Informatics, April, 2024

FF-GLAM-cs: a fusion framework based on GLAM with channel shuffle for speech emotion recognition.
Int. J. Mach. Learn. Cybern., March, 2024

Contention With Collision Detection in Wireless Full-Duplex Networks.
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

PMFN-SSL: Self-supervised learning-based progressive multimodal fusion network for cancer diagnosis and prognosis.
Knowl. Based Syst., 2024

Controlled variable selection with nonconvex regularization for identifying biomarkers.
Biomed. Signal Process. Control., 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 calibrated SVM based on weighted smooth GL1/2 for Alzheimer's disease prediction.
Comput. Biol. Medicine, May, 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

UAMPnet: Unrolled approximate message passing network for nonconvex regularization.
Expert Syst. Appl., 2023

2022
Backoff Entropy: Predicting Presaturation Peak for IEEE 802.11 DCF Networks.
IEEE Trans. Veh. Technol., 2022

SMSPL: Robust Multimodal Approach to Integrative Analysis of Multiomics Data.
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

Erratum: Multi-view feature selection via sparse tensor regression.
Int. J. Wavelets Multiresolution Inf. Process., 2022

SLNL: A novel method for gene selection and phenotype classification.
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

SSGL1/2: An Improved SVM with Smooth GroupL1/2 for Predicting AD.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
A Novel Cox Proportional Hazards Model for High-Dimensional Genomic Data in Cancer Prognosis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Structural residual learning for single image rain removal.
Knowl. Based Syst., 2021

ERFR-CTC: Exploiting Residual Frequency Resources in Physical-Level Cross-Technology Communication.
IEEE Internet Things J., 2021

Multi-view feature selection via sparse tensor regression.
Int. J. Wavelets Multiresolution Inf. Process., 2021

SPLSN: An efficient tool for survival analysis and biomarker selection.
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

Feature Gene Selection based on L1/2+2 Regularization.
Proceedings of the ICBBS 2021: 10th International Conference on Bioinformatics and Biomedical Science, Xiamen, China, October 29, 2021

2020
SatOpt Partition: Dividing Throughput-Stability Region for IEEE 802.11 DCF Networks.
IEEE Trans. Veh. Technol., 2020

Modeling the Impact of the MoreData Parameter for Wireless Power-Saving Protocols.
IEEE Trans. Green Commun. Netw., 2020

Novel Regularization Method for Biomarker Selection and Cancer Classification.
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

Select-ProtoNet: Learning to Select for Few-Shot Disease Subtype Prediction.
CoRR, 2020

Structural Residual Learning for Single Image Rain Removal.
CoRR, 2020

A Modified Spectral Gradient Projection Method for Solving Non-Linear Monotone Equations With Convex Constraints and Its Application.
IEEE Access, 2020

A Genotype-Based Ensemble Classifier System for Non-Small-Cell Lung Cancer.
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

Structure learning of sparse directed acyclic graphs incorporating the scale-free property.
Comput. Stat., 2019

Approximate Message Passing Algorithm for Nonconvex Regularization.
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

A Hybrid Genetic Algorithm With Wrapper-Embedded Approaches for Feature Selection.
IEEE Access, 2018

Microarray-Based Cancer Prediction Using Single-Gene Ensemble Classifier.
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

Image Super-Resolution Reconstruction via L1/2 and S1/2 Regularizations.
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
A novel L1/2 regularization shooting method for Cox's proportional hazards model.
Soft Comput., 2014

The L<sub>1/2</sub> regularization method for variable selection in the Cox model.
Appl. Soft Comput., 2014

2013
Sparse logistic regression with a L1/2 penalty for gene selection in cancer classification.
BMC Bioinform., 2013

Genetic algorithm for dimer-led and error-restricted spaced motif discovery.
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

Regularization Path for Linear Model via Net Method.
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
<i>L</i><sub>1/2</sub> regularization.
Sci. China Inf. Sci., 2010

2008
Evolutionary drug scheduling models with different toxicity metabolism in cancer chemotherapy.
Appl. Soft Comput., 2008

2007
A Memetic Algorithm for Multiple-Drug Cancer Chemotherapy Schedule Optimization.
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

Neural Network Training Using Genetic Algorithm with a Novel Binary Encoding.
Proceedings of the Advances in Neural Networks, 2007

Fast Drug Scheduling Optimization Approach for Cancer Chemotherapy.
Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007

2006
A Novel Evolutionary Drug Scheduling Model in Cancer Chemotherapy.
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

A splicing/decomposable encoding and its novel operators for genetic algorithms.
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

A Novel Binary Variable Representation for Genetic and Evolutionary Algorithms.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
Multi-drug cancer chemotherapy scheduling by a new memetic optimization algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
Evolutionary Drug Scheduling Model for Cancer Chemotherapy.
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
Two-way mutation evolution strategies.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002


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