Renzhi Cao
Orcid: 0000-0002-8345-343X
According to our database1,
Renzhi Cao
authored at least 27 papers
between 2013 and 2024.
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Bibliography
2024
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024
A Node Classification-Based Multiobjective Evolutionary Algorithm for Community Detection in Complex Networks.
IEEE Trans. Comput. Soc. Syst., February, 2024
2023
Briefings Bioinform., September, 2023
Fast and automated protein-DNA/RNA macromolecular complex modeling from cryo-EM maps.
Briefings Bioinform., March, 2023
Multi-Objective Optimization of Local Overlapping Community Detection: A Formal Model and Novel Evolutionary Algorithm.
IEEE Trans. Netw. Sci. Eng., 2023
Fair Influence Maximization in Social Networks: A Community-Based Evolutionary Algorithm.
CoRR, 2023
2022
ZoomQA: residue-level protein model accuracy estimation with machine learning on sequential and 3D structural features.
Briefings Bioinform., 2022
Deep graph learning to estimate protein model quality using structural constraints from multiple sequence alignments.
Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022
2021
Artificial Intelligence Advances for De Novo Molecular Structure Modeling in Cryo-EM.
CoRR, 2021
Application of artificial intelligence and machine learning for COVID-19 drug discovery and vaccine design.
Briefings Bioinform., 2021
2020
TopQA: a topological representation for single-model protein quality assessment with machine learning.
Int. J. Comput. Biol. Drug Des., 2020
CoRR, 2020
Proceedings of the Services - SERVICES 2020, 2020
Predicting the DJIA with News Headlines and Historic Data Using Hybrid Genetic Algorithm/Support Vector Regression and BERT.
Proceedings of the Big Data - BigData 2020, 2020
2018
EMNets: A Convolutional Autoencoder for Protein Surface Retrieval Based on Cryo-Electron Microscopy Imaging.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018
2017
ProLanGO: Protein Function Prediction Using Neural~Machine Translation Based on a Recurrent Neural Network.
CoRR, 2017
QAcon: single model quality assessment using protein structural and contact information with machine learning techniques.
Bioinform., 2017
2016
Nucleic Acids Res., 2016
DeepQA: improving the estimation of single protein model quality with deep belief networks.
BMC Bioinform., 2016
UniCon3D: <i>de novo</i> protein structure prediction using united-residue conformational search via stepwise, probabilistic sampling.
Bioinform., 2016
2015
Iterative reconstruction of three-dimensional models of human chromosomes from chromosomal contact data.
BMC Bioinform., 2015
A large-scale conformation sampling and evaluation server for protein tertiary structure prediction and its assessment in CASP11.
BMC Bioinform., 2015
Large-scale model quality assessment for improving protein tertiary structure prediction.
Bioinform., 2015
MULTICOM: a large-scale conformation sampling and evaluation server for protein tertiary structure prediction.
Proceedings of the 6th ACM Conference on Bioinformatics, 2015
2014
SMOQ: a tool for predicting the absolute residue-specific quality of a single protein model with support vector machines.
BMC Bioinform., 2014
2013
Three-Level Prediction of Protein Function by Combining Profile-Sequence Search, Profile-Profile Search, and Domain Co-Occurrence Networks.
BMC Bioinform., 2013