Huiying Zhao

Orcid: 0000-0001-9134-536X

According to our database1, Huiying Zhao authored at least 43 papers between 2010 and 2024.

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Bibliography

2024
An uncertainty-based interpretable deep learning framework for predicting breast cancer outcome.
BMC Bioinform., December, 2024

Predicting disease-gene associations through self-supervised mutual infomax graph convolution network.
Comput. Biol. Medicine, March, 2024

2023
Inferring the genetic relationship between brain imaging-derived phenotypes and risk of complex diseases by Mendelian randomization and genome-wide colocalization.
NeuroImage, October, 2023

Accurately identifying nucleic-acid-binding sites through geometric graph learning on language model predicted structures.
Briefings Bioinform., September, 2023

Fast and accurate protein function prediction from sequence through pretrained language model and homology-based label diffusion.
Briefings Bioinform., May, 2023

Identifying Subgroups of ICU Patients Using End-to-End Multivariate Time-Series Clustering Algorithm Based on Real-World Vital Signs Data.
CoRR, 2023

Interventions to Reduce Misinformation Dissemination on Social Media: A Systematic Literature Review.
Proceedings of the 27th Pacific Asia Conference on Information Systems, 2023

Enhancing Clustering Performance in Sepsis Time Series Data Using Gravity Field.
Proceedings of the Health Information Science - 12th International Conference, 2023

Temporal Semantic Attention Network for Aspect-Based Sentiment Analysis.
Proceedings of the Database and Expert Systems Applications, 2023

Accurately Identifying Muscle-Invasive Bladder Cancer from MRI via Weakly Supervised Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
To Improve Prediction of Binding Residues With DNA, RNA, Carbohydrate, and Peptide Via Multi-Task Deep Neural Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

A coarse-refine segmentation network for COVID-19 CT images.
IET Image Process., 2022

Alignment-free metal ion-binding site prediction from protein sequence through pretrained language model and multi-task learning.
Briefings Bioinform., 2022

AlphaFold2-aware protein-DNA binding site prediction using graph transformer.
Briefings Bioinform., 2022

Capturing large genomic contexts for accurately predicting enhancer-promoter interactions.
Briefings Bioinform., 2022

Learning Optimal Treatment Strategies for Sepsis Using Offline Reinforcement Learning in Continuous Space.
Proceedings of the Health Information Science - 11th International Conference, 2022

Genetic and phenotypic relationships between coronary atherosclerotic heart disease and electrocardiographic traits.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Accurately Identifying Coronary Atherosclerotic Heart Disease through Merged Beats of Electrocardiogram.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Identifying Patient Subgroups with Different Mortality Risks in ICU Based on Dynamically Acquired Clinical Data.
Proceedings of the AMIA 2022, 2022

2021
Deep Learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) With CT Images.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

EVLncRNAs 2.0: an updated database of manually curated functional long non-coding RNAs validated by low-throughput experiments.
Nucleic Acids Res., 2021

Structure-aware protein solubility prediction from sequence through graph convolutional network and predicted contact map.
J. Cheminformatics, 2021

Integrating multi-omics data through deep learning for accurate cancer prognosis prediction.
Comput. Biol. Medicine, 2021

Structure-aware protein-protein interaction site prediction using deep graph convolutional network.
Bioinform., 2021

scAdapt: virtual adversarial domain adaptation network for single cell RNA-seq data classification across platforms and species.
Briefings Bioinform., 2021

DGAT-onco: A differential analysis method to detect oncogenes by integrating functional information of mutations.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Development of a global positioning system data-based trip-purpose inference method for hazardous materials transportation management.
J. Intell. Transp. Syst., 2020

DStruBTarget: Integrating Binding Affinity with Structure Similarity for Ligand-Binding Protein Prediction.
J. Chem. Inf. Model., 2020

To Improve Protein Sequence Profile Prediction through Image Captioning on Pairwise Residue Distance Map.
J. Chem. Inf. Model., 2020

SPOT-Fold: Fragment-Free Protein Structure Prediction Guided by Predicted Backbone Structure and Contact Map.
J. Comput. Chem., 2020

Accurate prediction of genome-wide RNA secondary structure profile based on extreme gradient boosting.
Bioinform., 2020

Deep Learning Based Prediction Towards Designing A Smart Building Assistant System.
Proceedings of the 17th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2020

2019
Voltage and Frequency Regulation of Microgrid With Battery Energy Storage Systems.
IEEE Trans. Smart Grid, 2019

DLIGAND2: an improved knowledge-based energy function for protein-ligand interactions using the distance-scaled, finite, ideal-gas reference state.
J. Cheminformatics, 2019

2018
Alignment Method for Linear-Scale Projection Lithography Based on CCD Image Analysis.
Sensors, 2018

EVLncRNAs: a manually curated database for long non-coding RNAs validated by low-throughput experiments.
Nucleic Acids Res., 2018

2017
Aspheric Surface Measurement Using Capacitive Sensors.
Sensors, 2017

Equivalent modeling and simulation for PV system on dynamic clustering equivalent strategy.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

2016
Multi-Repeated Projection Lithography for High-Precision Linear Scale Based on Average Homogenization Effect.
Sensors, 2016

2015
A Novel Cylindrical Representation for Characterizing Intrinsic Properties of Protein Sequences.
J. Chem. Inf. Model., 2015

2014
Carbohydrate-binding protein identification by coupling structural similarity searching with binding affinity prediction.
J. Comput. Chem., 2014

2011
Improving protein fold recognition and template-based modeling by employing probabilistic-based matching between predicted one-dimensional structural properties of query and corresponding native properties of templates.
Bioinform., 2011

2010
Structure-based prediction of DNA-binding proteins by structural alignment and a volume-fraction corrected DFIRE-based energy function.
Bioinform., 2010


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