Kelin Xia
Orcid: 0000-0003-4183-0943Affiliations:
- Nanyang Technological University, Singapore
According to our database1,
Kelin Xia
authored at least 50 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on zbmath.org
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on orcid.org
On csauthors.net:
Bibliography
2024
Integration of persistent Laplacian and pre-trained transformer for protein solubility changes upon mutation.
Comput. Biol. Medicine, February, 2024
CoRR, 2024
CoRR, 2024
Multi-Cover Persistence (MCP)-based machine learning for polymer property prediction.
Briefings Bioinform., 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
Multiscale Topological Indices for the Quantitative Prediction of SARS CoV-2 Binding Affinity Change upon Mutations.
J. Chem. Inf. Model., July, 2023
Laplacian Spectra of Persistent Structures in Taiwan, Singapore, and US Stock Markets.
Entropy, June, 2023
Fingerprint-Enhanced Graph Attention Network (FinGAT) Model for Antibiotic Discovery.
J. Chem. Inf. Model., May, 2023
Briefings Bioinform., March, 2023
Curvature-enhanced Graph Convolutional Network for Biomolecular Interaction Prediction.
CoRR, 2023
2022
Dowker complex based machine learning (DCML) models for protein-ligand binding affinity prediction.
PLoS Comput. Biol., 2022
<i>Hom</i>-Complex-Based Machine Learning (HCML) for the Prediction of Protein-Protein Binding Affinity Changes upon Mutation.
J. Chem. Inf. Model., 2022
Flexibility and rigidity index for chromosome packing, flexibility and dynamics analysis.
Frontiers Comput. Sci., 2022
Persistent spectral based ensemble learning (PerSpect-EL) for protein-protein binding affinity prediction.
Briefings Bioinform., 2022
Briefings Bioinform., 2022
Molecular persistent spectral image (Mol-PSI) representation for machine learning models in drug design.
Briefings Bioinform., 2022
Persistent spectral simplicial complex-based machine learning for chromosomal structural analysis in cellular differentiation.
Briefings Bioinform., 2022
Artif. Intell. Rev., 2022
Persistent tor-algebra based stacking ensemble learning (PTA-SEL) for protein-protein binding affinity prediction.
Proceedings of the Topological, 2022
2021
Ollivier Persistent Ricci Curvature-Based Machine Learning for the Protein-Ligand Binding Affinity Prediction.
J. Chem. Inf. Model., 2021
Understanding Changes in the Topology and Geometry of Financial Market Correlations during a Market Crash.
Entropy, 2021
Fast random algorithms for manifold based optimization in reconstructing 3D chromosomal structures.
Commun. Inf. Syst., 2021
Forman persistent Ricci curvature (FPRC)-based machine learning models for protein-ligand binding affinity prediction.
Briefings Bioinform., 2021
Hypergraph-based persistent cohomology (HPC) for molecular representations in drug design.
Briefings Bioinform., 2021
Persistent spectral hypergraph based machine learning (PSH-ML) for protein-ligand binding affinity prediction.
Briefings Bioinform., 2021
Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data, 2021
2020
Determining Optimal Coarse-Grained Representation for Biomolecules Using Internal Cluster Validation Indexes.
J. Comput. Chem., 2020
2019
J. Inf. Process., 2019
IEICE Trans. Inf. Syst., 2019
2018
Commun. Inf. Syst., 2018
2017
J. Comput. Appl. Math., 2017
J. Comput. Appl. Math., 2017
2016
Flexibility-rigidity index for protein-nucleic acid flexibility and fluctuation analysis.
J. Comput. Chem., 2016
2015
J. Comput. Phys., 2015
J. Comput. Chem., 2015
J. Comput. Appl. Math., 2015
2014
J. Comput. Phys., 2014
A Galerkin formulation of the MIB method for three dimensional elliptic interface problems.
Comput. Math. Appl., 2014
2013
J. Comput. Chem., 2013
2012
Adaptively deformed mesh based interface method for elliptic equations with discontinuous coefficients.
J. Comput. Phys., 2012
2011
J. Comput. Phys., 2011