Yan Wang
Orcid: 0000-0002-4751-0708Affiliations:
- University of Georgia, Department of Biochemistry and Molecular Biology / Institute of Bioinformatics Athens, GA, USA
- Jilin University, College of Computer Science and Technology, MoE Key Laboratory for Symbol Computation and Knowledge Engineering, China (former)
According to our database1,
Yan Wang
authored at least 93 papers
between 2004 and 2025.
Collaborative distances:
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Bibliography
2025
HATZFS predicts pancreatic cancer driver biomarkers by hierarchical reinforcement learning and zero-forcing set.
Expert Syst. Appl., 2025
2024
BMC Bioinform., December, 2024
BEROLECMI: a novel prediction method to infer circRNA-miRNA interaction from the role definition of molecular attributes and biological networks.
BMC Bioinform., December, 2024
Graph pooling in graph neural networks: methods and their applications in omics studies.
Artif. Intell. Rev., November, 2024
Cross-modality Multiple Relations Learning for Knowledge-based Visual Question Answering.
ACM Trans. Multim. Comput. Commun. Appl., March, 2024
FairCare: Adversarial training of a heterogeneous graph neural network with attention mechanism to learn fair representations of electronic health records.
Inf. Process. Manag., March, 2024
A Survey of Deep Learning for Detecting miRNA- Disease Associations: Databases, Computational Methods, Challenges, and Future Directions.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024
An Image Histogram Equalization Acceleration Method for Field-Programmable Gate Arrays Based on a Two-Dimensional Configurable Pipeline.
Sensors, 2024
Expert Syst. Appl., 2024
MolFeSCue: enhancing molecular property prediction in data-limited and imbalanced contexts using few-shot and contrastive learning.
Bioinform., 2024
A multichannel graph neural network based on multisimilarity modality hypergraph contrastive learning for predicting unknown types of cancer biomarkers.
Briefings Bioinform., 2024
Multi-view learning framework for predicting unknown types of cancer markers via directed graph neural networks fitting regulatory networks.
Briefings Bioinform., 2024
A multi-task prediction method based on neighborhood structure embedding and signed graph representation learning to infer the relationship between circRNA, miRNA, and cancer.
Briefings Bioinform., 2024
Proceedings of the 2024 4th International Conference on Bioinformatics and Intelligent Computing, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
BMC Bioinform., December, 2023
Comput. Biol. Medicine, September, 2023
Multi-task prediction-based graph contrastive learning for inferring the relationship among lncRNAs, miRNAs and diseases.
Briefings Bioinform., September, 2023
Comput. Biol. Medicine, February, 2023
Feature Correspondences Increase and Hybrid Terms Optimization Warp for Image Stitching.
Entropy, January, 2023
A Survey of Computational Methods and Databases for lncRNA-MiRNA Interaction Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
PepLand: a large-scale pre-trained peptide representation model for a comprehensive landscape of both canonical and non-canonical amino acids.
CoRR, 2023
Contrastive self-supervised graph convolutional network for detecting the relationship among lncRNAs, miRNAs, and diseases.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
IPAS-Net: A deep-learning model for generating high-fidelity shoeprints from low-quality images with no natural references.
J. King Saud Univ. Comput. Inf. Sci., 2022
Inf. Sci., 2022
EGFAFS: A Novel Feature Selection Algorithm Based on Explosion Gravitation Field Algorithm.
Entropy, 2022
MMGraph: a multiple motif predictor based on graph neural network and coexisting probability for ATAC-seq data.
Bioinform., 2022
Assessing deep learning methods in cis-regulatory motif finding based on genomic sequencing data.
Briefings Bioinform., 2022
Briefings Bioinform., 2022
RDDriver: A novel method based on multi-layer heterogeneous transcriptional regulation network for identifying pancreatic cancer biomarker.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Entropy, 2021
SGPNet: A Three-Dimensional Multitask Residual Framework for Segmentation and IDH Genotype Prediction of Gliomas.
Comput. Intell. Neurosci., 2021
DeepSec: a deep learning framework for secreted protein discovery in human body fluids.
Bioinform., 2021
Database J. Biol. Databases Curation, 2021
Briefings Bioinform., 2021
Briefings Bioinform., 2021
Proceedings of the IEEE Symposium on Computers and Communications, 2021
A Breast Cancer Patients' Survival Prediction Model Using mRMR Feature Selection with Artificial Neural Network.
Proceedings of the CSAE 2021: The 5th International Conference on Computer Science and Application Engineering, Sanya, China, October 19, 2021
An AutoEncoder-Based Matrix Factorization Approach to Estimating Cell Proportion from Bulk Tumor RNA-seq Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
IEEE Access, 2020
2019
Explosion gravitation field algorithm with dust sampling for unconstrained optimization.
Appl. Soft Comput., 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
2017
The method for breast cancer grade prediction and pathway analysis based on improved multiple kernel learning.
J. Bioinform. Comput. Biol., 2017
Proceedings of the 4th International Conference on Systems and Informatics, 2017
Pancreatic cancer biomarker detection using recursive feature elimination based on Support Vector Machine and large margin distribution machine.
Proceedings of the 4th International Conference on Systems and Informatics, 2017
Proceedings of the 4th International Conference on Systems and Informatics, 2017
2016
BMC Bioinform., 2016
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016
2015
A novel filter feature selection method for paired microarray expression data analysis.
Int. J. Data Min. Bioinform., 2015
Specific Biomarkers: Detection of Cancer Biomarkers Through High-Throughput Transcriptomics Data.
Cogn. Comput., 2015
Proceedings of the 2015 Second European Network Intelligence Conference, 2015
2014
Proceedings of the Bioinformatics Research and Applications - 10th International Symposium, 2014
Essential protein identification based on essential protein-protein interaction prediction by integrated edge weights.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014
2013
A novel multi-stage feature selection method for microarray expression data analysis.
Int. J. Data Min. Bioinform., 2013
Effective and stable feature selection method based on filter for gene signature identification in paired microarray data.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013
2011
Identification of Salt Tolerance Genes in Rice from Microarray Data using SVM-RFE.
Proceedings of the ISCA 3rd International Conference on Bioinformatics and Computational Biology, 2011
2010
Artif. Intell. Medicine, 2010
Algorithms Mol. Biol., 2010
Two modeling methods for near infrared spectroscopy nondestructive quantitative analysis of the protein contents in Coredyceps militaris mycelia powder.
Proceedings of the Sixth International Conference on Natural Computation, 2010
Gene Regulatory Network Reconstruction with Multiple Dataset Fusion and Differential Equation.
Proceedings of the Fifth International Conference on Frontier of Computer Science and Technology, 2010
2009
Methods for labeling error detection in microarrays based on the effect of data perturbation on the regression model.
Bioinform., 2009
Immune Particle Swarm Optimization for Support Vector Regression on Forest Fire Prediction.
Proceedings of the Advances in Neural Networks, 2009
Parameters optimization of support vector regression based on immune particle swarm optimization algorithm.
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009
Proceedings of the 2009 International Conference on Computational Intelligence and Security, 2009
2008
BMC Bioinform., 2008
Proceedings of the 9th International Conference for Young Computer Scientists, 2008
Proceedings of the International Conference on Bio-Science and Bio-Technology, 2008
Proceedings of the International Conference on Bio-Science and Bio-Technology, 2008
2007
Neurocomputing, 2007
Artif. Intell. Medicine, 2007
RFIMiner: A regression-based algorithm for recently frequent patterns in multiple time granularity data streams.
Appl. Math. Comput., 2007
A Novel Method for Prediction of Protein Domain Using Distance-Based Maximal Entropy.
Proceedings of the Advances in Neural Networks, 2007
Operon Prediction Using Neural Network Based on Multiple Information of Log-Likelihoods.
Proceedings of the Advances in Neural Networks, 2007
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007
2006
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006
Prediction of Protein Domains from Sequence Information Using Support Vector Machines.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Proceedings of the Advances in Natural Computation, Second International Conference, 2006
Proceedings of the Computational Science, 2006
2005
Analysis of Gene Expression Data: Application of Quantum-Inspired Evolutionary Algorithm to Minimum Sum-of-Squares Clustering.
Proceedings of the Rough Sets, 2005
Proceedings of the Advances in Natural Computation, First International Conference, 2005
A Fuzzy Neural Network System Based on Generalized Class Cover and Particle Swarm Optimization.
Proceedings of the Advances in Intelligent Computing, 2005
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005
Proceedings of the 4th International Conference on Cyberworlds (CW 2005), 2005
2004
Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004
Proceedings of the Advances in Neural Networks, 2004
Training Minimal Uncertainty Neural Networks by Bayesian Theorem and Particle Swarm Optimization.
Proceedings of the Neural Information Processing, 11th International Conference, 2004