Juntao Li
Orcid: 0000-0002-3288-4395Affiliations:
- Henan Normal University, Xinxiang, Henan, China
According to our database1,
Juntao Li authored at least 27 papers
between 2011 and 2026.
Collaborative distances:
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Bibliography
2026
Identifying pancreatic cell type via robust graph-regularized non-negative matrix factorization.
Biomed. Signal Process. Control., 2026
Distributed algorithms for solving linear algebraic equations: An optimal control perspective.
Autom., 2026
2025
Deciphering progressive lesion areas in breast cancer spatial transcriptomics via TGR-NMF.
Briefings Bioinform., January, 2025
2024
Distributed Control Design for Solving Linear Algebraic Equations via Adjustable Domains.
IEEE Trans. Autom. Control., December, 2024
Auto-adjustable hypergraph regularized non-negative matrix factorization for image clustering.
Pattern Recognit., January, 2024
A granularity-level information fusion strategy on hypergraph transformer for predicting synergistic effects of anticancer drugs.
Briefings Bioinform., January, 2024
Briefings Bioinform., January, 2024
SMGCN: Multiple Similarity and Multiple Kernel Fusion Based Graph Convolutional Neural Network for Drug-Target Interactions Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024
MAHyNet: Parallel Hybrid Network for RNA-Protein Binding Sites Prediction Based on Multi-Head Attention and Expectation Pooling.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024
ALRIGMR: Adaptive logistic regression via integrating gene mutation and RNA-seq for liver cancer diagnosis.
Biomed. Signal Process. Control., 2024
2023
WGRLR: A Weighted Group Regularized Logistic Regression for Cancer Diagnosis and Gene Selection.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Improving diagnosis accuracy of non-small cell lung carcinoma on noisy data by adaptive group lasso regularized multinomial regression.
Biomed. Signal Process. Control., 2023
2022
Identification of miRNA biomarkers for breast cancer by combining ensemble regularized multinomial logistic regression and Cox regression.
BMC Bioinform., December, 2022
TSVMPath: Fast Regularization Parameter Tuning Algorithm for Twin Support Vector Machine.
Neural Process. Lett., 2022
Expert Syst. Appl., 2022
Logistic regression with adaptive sparse group lasso penalty and its application in acute leukemia diagnosis.
Comput. Biol. Medicine, 2022
2021
RAMRSGL: A Robust Adaptive Multinomial Regression Model for Multicancer Classification.
Comput. Math. Methods Medicine, 2021
2019
Gene selection of rat hepatocyte proliferation using adaptive sparse group lasso with weighted gene co-expression network analysis.
Comput. Biol. Chem., 2019
IEEE Access, 2019
2018
Grouped Gene Selection of Cancer via Adaptive Sparse Group Lasso Based on Conditional Mutual Information.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
Adaptive multinomial regression with overlapping groups for multi-class classification of lung cancer.
Comput. Biol. Medicine, 2018
2017
Online Learning Algorithms for Double-Weighted Least Squares Twin Bounded Support Vector Machines.
Neural Process. Lett., 2017
Int. J. Control, 2017
2016
Weighted doubly regularized support vector machine and its application to microarray classification with noise.
Neurocomputing, 2016
2015
Stabilization and Separation Principle of Networked Control Systems Using the T-S Fuzzy Model Approach.
IEEE Trans. Fuzzy Syst., 2015
2013
Neural Comput. Appl., 2013
2011
Adaptive huberized support vector machine and its application to microarray classification.
Neural Comput. Appl., 2011