Kelin Xia

According to our database, Kelin Xia authored at least 45 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Integration of persistent Laplacian and pre-trained transformer for protein solubility changes upon mutation.

Junjie Wee, Jiahui Chen, Kelin Xia, Guo-Wei Wei

Comput. Biol. Medicine, February, 2024

2023

Multiscale Topological Indices for the Quantitative Prediction of SARS CoV-2 Binding Affinity Change upon Mutations.

Jialin Bi, Junjie Wee, Xiang Liu, Cunquan Qu, Guanghui Wang, Kelin Xia

J. Chem. Inf. Model., July, 2023

Laplacian Spectra of Persistent Structures in Taiwan, Singapore, and US Stock Markets.

Tsung-Wen Yen, Kelin Xia, Siew Ann Cheong

Entropy, June, 2023

Fingerprint-Enhanced Graph Attention Network (FinGAT) Model for Antibiotic Discovery.

Hou Yee Choo, Junjie Wee, Cong Shen, Kelin Xia

J. Chem. Inf. Model., May, 2023

Persistent Tor-algebra for protein-protein interaction analysis.

Xiang Liu, Huitao Feng, Zhi Lü, Kelin Xia

Briefings Bioinform., March, 2023

Graph Neural Networks with a Distribution of Parametrized Graphs.

See Hian Lee, Feng Ji, Kelin Xia, Wee Peng Tay

CoRR, 2023

Molecular geometric deep learning.

Cong Shen, Jiawei Luo, Kelin Xia

CoRR, 2023

Curvature-enhanced Graph Convolutional Network for Biomolecular Interaction Prediction.

Cong Shen, Pingjian Ding, Junjie Wee, Jialin Bi, Jiawei Luo, Kelin Xia

CoRR, 2023

Torsion Graph Neural Networks.

Cong Shen, Xiang Liu, Jiawei Luo, Kelin Xia

CoRR, 2023

2022

Dowker complex based machine learning (DCML) models for protein-ligand binding affinity prediction.

Xiang Liu, Huitao Feng, Jie Wu, Kelin Xia

PLoS Comput. Biol., 2022

<i>Hom</i>-Complex-Based Machine Learning (HCML) for the Prediction of Protein-Protein Binding Affinity Changes upon Mutation.

Xiang Liu, Huitao Feng, Jie Wu, Kelin Xia

J. Chem. Inf. Model., 2022

Flexibility and rigidity index for chromosome packing, flexibility and dynamics analysis.

Jiajie Peng, Jinjin Yang, D. Vijay Anand, Xuequn Shang, Kelin Xia

Frontiers Comput. Sci., 2022

Persistent spectral based ensemble learning (PerSpect-EL) for protein-protein binding affinity prediction.

Junjie Wee, Kelin Xia

Briefings Bioinform., 2022

Multiphysical graph neural network (MP-GNN) for COVID-19 drug design.

Xiao-Shuang Li, Xiang Liu, Le Lu, Xian-Sheng Hua, Ying Chi, Kelin Xia

Briefings Bioinform., 2022

Molecular persistent spectral image (Mol-PSI) representation for machine learning models in drug design.

Peiran Jiang, Ying Chi, Xiao-Shuang Li, Xiang Liu, Xian-Sheng Hua, Kelin Xia

Briefings Bioinform., 2022

Persistent spectral simplicial complex-based machine learning for chromosomal structural analysis in cellular differentiation.

Weikang Gong, Junjie Wee, Min-Chun Wu, Xiaohan Sun, Chunhua Li, Kelin Xia

Briefings Bioinform., 2022

Persistent-homology-based machine learning: a survey and a comparative study.

Chi Seng Pun, Si Xian Lee, Kelin Xia

Artif. Intell. Rev., 2022

Persistent tor-algebra based stacking ensemble learning (PTA-SEL) for protein-protein binding affinity prediction.

Xiang Liu, Kelin Xia

Proceedings of the Topological, 2022

2021

Ollivier Persistent Ricci Curvature-Based Machine Learning for the Protein-Ligand Binding Affinity Prediction.

Junjie Wee, Kelin Xia

J. Chem. Inf. Model., 2021

Understanding Changes in the Topology and Geometry of Financial Market Correlations during a Market Crash.

Tsung-Wen Yen, Kelin Xia, Siew Ann Cheong

Entropy, 2021

Fast random algorithms for manifold based optimization in reconstructing 3D chromosomal structures.

Duan Chen, Shaoyu Li, Xue Wang, Kelin Xia

Commun. Inf. Syst., 2021

Forman persistent Ricci curvature (FPRC)-based machine learning models for protein-ligand binding affinity prediction.

Junjie Wee, Kelin Xia

Briefings Bioinform., 2021

Hypergraph-based persistent cohomology (HPC) for molecular representations in drug design.

Xiang Liu, Xiangjun Wang, Jie Wu, Kelin Xia

Briefings Bioinform., 2021

Persistent spectral hypergraph based machine learning (PSH-ML) for protein-ligand binding affinity prediction.

Xiang Liu, Huitao Feng, Jie Wu, Kelin Xia

Briefings Bioinform., 2021

Neighborhood Complex Based Machine Learning (NCML) Models for Drug Design.

Xiang Liu, Kelin Xia

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.

Zhenliang Wu, Yuwei Zhang, John Z. H. Zhang, Kelin Xia, Fei Xia

J. Comput. Chem., 2020

Persistent spectral based machine learning (PerSpect ML) for drug design.

Zhenyu Meng, Kelin Xia

CoRR, 2020

2019

Understanding Attack Trends from Security Blog Posts Using Guided-topic Model.

Tatsuya Nagai, Makoto Takita, Keisuke Furumoto, Yoshiaki Shiraishi, Kelin Xia, Yasuhiro Takano, Masami Mohri, Masakatu Morii

J. Inf. Process., 2019

A Malicious Web Site Identification Technique Using Web Structure Clustering.

Tatsuya Nagai, Masaki Kamizono, Yoshiaki Shiraishi, Kelin Xia, Masami Mohri, Yasuhiro Takano, Masakatu Morii

IEICE Trans. Inf. Syst., 2019

2018

Persistent similarity for biomolecular structure comparison.

Kelin Xia

Commun. Inf. Syst., 2018

2017

Geometric and electrostatic modeling using molecular rigidity functions.

Lin Mu, Kelin Xia, Guo-Wei Wei

J. Comput. Appl. Math., 2017

Finite volume formulation of the MIB method for elliptic interface problems.

Yin Cao, Bao Wang, Kelin Xia, Guo-Wei Wei

J. Comput. Appl. Math., 2017

2016

Flexibility-rigidity index for protein-nucleic acid flexibility and fluctuation analysis.

Kristopher Opron, Kelin Xia, Zach Burton, Guo-Wei Wei

J. Comput. Chem., 2016

2015

Second order method for solving 3D elasticity equations with complex interfaces.

Bao Wang, Kelin Xia, Guo-Wei Wei

J. Comput. Phys., 2015

Multidimensional persistence in biomolecular data.

Kelin Xia, Guo-Wei Wei

J. Comput. Chem., 2015

Persistent homology for the quantitative prediction of fullerene stability.

Kelin Xia, Xin Feng, Yiying Tong, Guo-Wei Wei

J. Comput. Chem., 2015

Multiresolution Topological Simplification.

Kelin Xia, Zhixiong Zhao, Guo-Wei Wei

J. Comput. Biol., 2015

Matched interface and boundary method for elasticity interface problems.

Bao Wang, Kelin Xia, Guo-Wei Wei

J. Comput. Appl. Math., 2015

2014

Multiscale geometric modeling of macromolecules I: Cartesian representation.

Kelin Xia, Xin Feng, Zhan Chen, Yiying Tong, Guo-Wei Wei

J. Comput. Phys., 2014

MIB Galerkin method for elliptic interface problems.

Kelin Xia, Meng Zhan, Guo-Wei Wei

J. Comput. Appl. Math., 2014

A Galerkin formulation of the MIB method for three dimensional elliptic interface problems.

Kelin Xia, Guo-Wei Wei

Comput. Math. Appl., 2014

2013

Multiscale geometric modeling of macromolecules II: Lagrangian representation.

Xin Feng, Kelin Xia, Zhan Chen, Yiying Tong, Guo-Wei Wei

J. Comput. Chem., 2013

2012

Variational Multiscale Models for Charge Transport.

Guo-Wei Wei, Qiong Zheng, Zhan Chen, Kelin Xia

SIAM Rev., 2012

Adaptively deformed mesh based interface method for elliptic equations with discontinuous coefficients.

Kelin Xia, Meng Zhan, Decheng Wan, Guo-Wei Wei

J. Comput. Phys., 2012

2011

MIB method for elliptic equations with multi-material interfaces.

Kelin Xia, Meng Zhan, Guo-Wei Wei

J. Comput. Phys., 2011