Yan Wang

Orcid: 0000-0002-4751-0708

Affiliations:
  • 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 80 papers between 2004 and 2024.

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

Timeline

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Bibliography

2024
Cross-modality Multiple Relations Learning for Knowledge-based Visual Question Answering.
ACM Trans. Multim. Comput. Commun. Appl., March, 2024

An Image Histogram Equalization Acceleration Method for Field-Programmable Gate Arrays Based on a Two-Dimensional Configurable Pipeline.
Sensors, 2024

MolFeSCue: enhancing molecular property prediction in data-limited and imbalanced contexts using few-shot and contrastive learning.
Bioinform., 2024

2023
Predicting miRNA-disease associations based on PPMI and attention network.
BMC Bioinform., December, 2023

OCMR: A comprehensive framework for optical chemical molecular recognition.
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

Data resources and computational methods for lncRNA-disease association prediction.
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

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

Restorable-inpainting: A novel deep learning approach for shoeprint restoration.
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

Multi-channel graph attention autoencoders for disease-related lncRNAs prediction.
Briefings Bioinform., 2022

Artificial intelligence in clinical research of cancers.
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
Minimum Distribution Support Vector Clustering.
Entropy, 2021

Coarse-Grained Pruning of Neural Network Models Based on Blocky Sparse Structure.
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

HBFP: a new repository for human body fluid proteome.
Database J. Biol. Databases Curation, 2021

Human body-fluid proteome: quantitative profiling and computational prediction.
Briefings Bioinform., 2021

The bioinformatics toolbox for circRNA discovery and analysis.
Briefings Bioinform., 2021

Research and Application of Reinforcement Learning Recommendation Method for Taobao.
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
Deep Learning Analysis and Age Prediction from Shoeprints.
CoRR, 2020

An Efficient v-Minimum Absolute Deviation Distribution Regression Machine.
IEEE Access, 2020

2019
Explosion gravitation field algorithm with dust sampling for unconstrained optimization.
Appl. Soft Comput., 2019

Computational Prediction of Human Body-Fluid Protein.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
ε-Distance Weighted Support Vector Regression.
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

Large margin distribution machine recursive feature elimination.
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

Gravitation field algorithm with optimal detection for unconstrained optimization.
Proceedings of the 4th International Conference on Systems and Informatics, 2017

2016
e-Distance Weighted Support Vector Regression.
CoRR, 2016

A method for exploring implicit concept relatedness in biomedical knowledge network.
BMC Bioinform., 2016

PUEPro: A Computational Pipeline for Prediction of Urine Excretory Proteins.
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

Partitioning Clustering Based on Support Vector Ranking.
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

A Greedy Strategy Link Clustering Method Based on AP.
Proceedings of the 2015 Second European Network Intelligence Conference, 2015

2014
Operon prediction by Markov clustering.
Int. J. Data Min. Bioinform., 2014

Computational Prediction of Human Saliva-Secreted Proteins.
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
PMirP: A pre-microRNA prediction method based on structure-sequence hybrid features.
Artif. Intell. Medicine, 2010

Gravitation field algorithm and its application in gene cluster.
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

Support Vector Regression for Prediction of Housing Values.
Proceedings of the 2009 International Conference on Computational Intelligence and Security, 2009

2008
Pep-3D-Search: a method for B-cell epitope prediction based on mimotope analysis.
BMC Bioinform., 2008

SVM Learning from Imbalanced Data by GA Sampling for Protein Domain Prediction.
Proceedings of the 9th International Conference for Young Computer Scientists, 2008

The Application of Support Vector Machine to Operon Prediction.
Proceedings of the International Conference on Bio-Science and Bio-Technology, 2008

A Novel SVC Method Based on K-means.
Proceedings of the International Conference on Bio-Science and Bio-Technology, 2008

2007
A novel quantum swarm evolutionary algorithm and its applications.
Neurocomputing, 2007

A multi-approaches-guided genetic algorithm with application to operon prediction.
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

A Multi-gene-Feature-Based Genetic Algorithm for Prediction of Operon.
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

2006
Self-adaptive Two-Phase Support Vector Clustering for Multi-Relational Data Mining.
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

A Hybrid Algorithm for Solving Generalized Class Cover Problem.
Proceedings of the Advances in Natural Computation, Second International Conference, 2006

An Evolution Computation Based Approach to Synthesize Video Texture.
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

A Novel Quantum Swarm Evolutionary Algorithm for Solving 0-1 Knapsack Problem.
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

A Fuzzy Neural Network System Based on Generalized Class Cover Problem.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

Two-Phase Support Vector Clustering for Multi-Relational Data Mining.
Proceedings of the 4th International Conference on Cyberworlds (CW 2005), 2005

2004
A Hybrid Algorithm for Combining Forecasting Based on AFTER-PSO.
Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

A Rough-Set-Based Fuzzy-Neural-Network System for Taste Signal Identification.
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


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