Huiying Zhao
Orcid: 0000-0001-9134-536X
According to our database1,
Huiying Zhao
authored at least 47 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
Stochastic Parrots or ICU Experts? Large Language Models in Critical Care Medicine: A Scoping Review.
CoRR, 2024
Applying image features of proximal paracancerous tissues in predicting prognosis of patients with hepatocellular carcinoma.
Comput. Biol. Medicine, 2024
Improving the Performance of Intelligent Photo Compliance Detection Method Based on Diffusion Model for Telecom User Management.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 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
Proceedings of the 22nd IEEE International Conference on Trust, 2023
Interventions to Reduce Misinformation Dissemination on Social Media: A Systematic Literature Review.
Proceedings of the 27th Pacific Asia Conference on Information Systems, 2023
Proceedings of the Health Information Science - 12th International Conference, 2023
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
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
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
Proceedings of the 17th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2020
2019
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
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