Henry Han

Orcid: 0000-0003-0273-6719

According to our database1, Henry Han authored at least 59 papers between 2010 and 2025.

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

Timeline

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Bibliography

2025
Hierarchical convolutional neural networks with post-attention for speech emotion recognition.
Neurocomputing, 2025

2024
A fast interpolation-based multi-objective evolutionary algorithm for large-scale multi-objective optimization problems.
Soft Comput., May, 2024

A Feature Selection Method Based on Feature-Label Correlation Information and Self-Adaptive MOPSO.
Neural Process. Lett., April, 2024

Multi-Objective Advantage Actor-Critic Algorithm for Hybrid Disassembly Line Balancing with Multi-Skilled Workers.
Inf., March, 2024

High dimensional mislabeled learning.
Neurocomputing, March, 2024

Pricing strategies for remanufacturing with government incentives.
Neural Comput. Appl., February, 2024

Reinforcement learning for Hybrid Disassembly Line Balancing Problems.
Neurocomputing, February, 2024

Explainable machine learning for high frequency trading dynamics discovery.
Inf. Sci., 2024

MA-CapsNet-DA: Speech emotion recognition based on MA-CapsNet using data augmentation.
Expert Syst. Appl., 2024

Singular value thresholding two-stage matrix completion for drug sensitivity discovery.
Comput. Biol. Chem., 2024

2023
A many-objective optimization evolutionary algorithm based on hyper-dominance degree.
Swarm Evol. Comput., December, 2023

Interpretable machine learning assessment.
Neurocomputing, December, 2023

Unsupervised spectral feature selection algorithms for high dimensional data.
Frontiers Comput. Sci., October, 2023

Estimate the incubation period of coronavirus 2019 (COVID-19).
Comput. Biol. Medicine, May, 2023

A machine learning-based human resources recruitment system for business process management: using LSA, BERT and SVM.
Bus. Process. Manag. J., 2023

Dimension Reduction Stacking for Deep Solar Wind Clustering.
Proceedings of the Next Generation Data Science - Second Southwest Data Science Conference, 2023

2022
Deep Convolutional Neural Networks With Transfer Learning for Automobile Damage Image Classification.
J. Database Manag., September, 2022

Quantification of Gastric Slow Wave Velocity Using Bipolar High-Resolution Recordings.
IEEE Trans. Biomed. Eng., 2022

A two-stage evolutionary algorithm for large-scale sparse multiobjective optimization problems.
Swarm Evol. Comput., 2022

Gene-CWGAN: a data enhancement method for gene expression profile based on improved CWGAN-GP.
Neural Comput. Appl., 2022

Enhance explainability of manifold learning.
Neurocomputing, 2022

A simple pre-disease state prediction method based on variations of gene vector features.
Comput. Biol. Medicine, 2022

Deciphering landscape dynamics of cell fate decision via a Lyapunov method.
Comput. Biol. Chem., 2022

The challenges of explainable AI in biomedical data science.
BMC Bioinform., 2022

Forecasting Stock Excess Returns with SEC 8-K Filings.
Proceedings of the Recent Advances in Transdisciplinary Data Science, 2022

Characterizing In-Situ Solar Wind Observations Using Clustering Methods.
Proceedings of the Recent Advances in Transdisciplinary Data Science, 2022

2021
Multi-objective particle swarm optimization with adaptive strategies for feature selection.
Swarm Evol. Comput., 2021

Salient object detection using feature clustering and compactness prior.
Multim. Tools Appl., 2021

Predict high-frequency trading marker via manifold learning.
Knowl. Based Syst., 2021

Improving decomposition-based multiobjective evolutionary algorithm with local reference point aided search.
Inf. Sci., 2021

ScGSLC: An unsupervised graph similarity learning framework for single-cell RNA-seq data clustering.
Comput. Biol. Chem., 2021

Attention-Based Convolution Skip Bidirectional Long Short-Term Memory Network for Speech Emotion Recognition.
IEEE Access, 2021

Hierarchical learning for option implied volatility pricing.
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

2020
Efficient network architecture search via multiobjective particle swarm optimization based on decomposition.
Neural Networks, 2020

A systematic study of critical miRNAs on cells proliferation and apoptosis by the shortest path.
BMC Bioinform., 2020

Predicting the Influence of MicroRNAs on Drug Therapeutic Effects by Random Walking.
IEEE Access, 2020

Manifold Learning Analysis for Allele-Skewed DNA Modification SNPs for Psychiatric Disorders.
IEEE Access, 2020

Detection of Slow Wave Propagation Direction Using Bipolar High-Resolution Recordings.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Efficient Gaussian sample specific network marker discovery and drug enrichment analysis validation.
Comput. Biol. Chem., 2019

Conditional GWAS revealing genetic impacts of lifestyle behaviors on low-density lipoprotein (LDL).
Comput. Biol. Chem., 2019

The coming era of artificial intelligence in biological data science.
BMC Bioinform., 2019

Preface.
BMC Bioinform., 2019

A Modified Multi-Objective Particle Swarm Optimization Based on Levy Flight and Double-Archive Mechanism.
IEEE Access, 2019

Patent Text Mining on Technology Evolution Path in 5G Communication Field.
Proceedings of the Recent Advances in Data Science, 2019

A High-Performance Basketball Game Forecast Using Magic Feature Extraction.
Proceedings of the Recent Advances in Data Science, 2019

Locally Linear Embedding for High-Frequency Trading Marker Discovery.
Proceedings of the Recent Advances in Data Science, 2019

Implied Volatility Pricing with Selective Learning.
Proceedings of the Recent Advances in Data Science, 2019

Detection of Monophasic Slow-wave Activation Phase Using Wavelet Decomposition.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
How does normalization impact RNA-seq disease diagnosis?
J. Biomed. Informatics, 2018

The Challenges of Business Analytics: Successes and Failures.
Proceedings of the 51st Hawaii International Conference on System Sciences, 2018

2017
Application of t-SNE to human genetic data.
J. Bioinform. Comput. Biol., 2017

Factors analysis of protein O-glycosylation site prediction.
Comput. Biol. Chem., 2017

A novel feature selection for RNA-seq analysis.
Comput. Biol. Chem., 2017

2014
A Novel Profile Biomarker Diagnosis for Mass Spectral Proteomics.
Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014

Analyzing Support Vector Machine Overfitting on Microarray Data.
Proceedings of the Intelligent Computing in Bioinformatics - 10th International Conference, 2014

2013
Multi-Resolution-Test for Consistent phenotype Discrimination and biomarker Discovery in Translational Bioinformatics.
J. Bioinform. Comput. Biol., 2013

2011
A high performance profile-biomarker diagnosis for mass spectral profiles.
BMC Syst. Biol., 2011

Multi-resolution independent component analysis for high-performance tumor classification and biomarker discovery.
BMC Bioinform., 2011

2010
Nonnegative principal component analysis for mass spectral serum profiles and biomarker discovery.
BMC Bioinform., 2010


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