Kelin Xia

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 35

Top Topics

Top Venues

Briefings Bioinform.

J. Comput. Appl. Math.

J. Comput. Chem.

Publications

Junjie Wee, Jiahui Chen, Kelin Xia, Guo-Wei Wei
Integration of persistent Laplacian and pre-trained transformer for protein solubility changes upon mutation. Comput. Biol. Medicine 169 (2024)
Chuan-Shen Hu, Rishikanta Mayengbam, Kelin Xia, Tze Chien Sum
Quotient complex (QC)-based machine learning for 2D perovskite design. CoRR (2024)
Joshua Zhi En Tan, Junjie Wee, Xue Gong, Kelin Xia
Topology-enhanced machine learning model (Top-ML) for anticancer peptide prediction. CoRR (2024)
Jialin Bi, Junjie Wee, Xiang Liu, Cunquan Qu, Guanghui Wang, Kelin Xia
Multiscale Topological Indices for the Quantitative Prediction of SARS CoV-2 Binding Affinity Change upon Mutations. J. Chem. Inf. Model. 63 (13) (2023)
Tsung-Wen Yen, Kelin Xia, Siew Ann Cheong
Laplacian Spectra of Persistent Structures in Taiwan, Singapore, and US Stock Markets. Entropy 25 (6) (2023)
Cong Shen, Pingjian Ding, Junjie Wee, Jialin Bi, Jiawei Luo, Kelin Xia
Curvature-enhanced Graph Convolutional Network for Biomolecular Interaction Prediction. CoRR (2023)
Cong Shen, Jiawei Luo, Kelin Xia
Molecular geometric deep learning. CoRR (2023)
Hou Yee Choo, Junjie Wee, Cong Shen, Kelin Xia
Fingerprint-Enhanced Graph Attention Network (FinGAT) Model for Antibiotic Discovery. J. Chem. Inf. Model. 63 (10) (2023)
See Hian Lee, Feng Ji, Kelin Xia, Wee Peng Tay
Graph Neural Networks with a Distribution of Parametrized Graphs. CoRR (2023)
Xiang Liu, Huitao Feng, Zhi Lü, Kelin Xia
Persistent Tor-algebra for protein-protein interaction analysis. Briefings Bioinform. 24 (2) (2023)
Cong Shen, Xiang Liu, Jiawei Luo, Kelin Xia
Torsion Graph Neural Networks. CoRR (2023)
Xiang Liu, Kelin Xia
Persistent tor-algebra based stacking ensemble learning (PTA-SEL) for protein-protein binding affinity prediction. TAG-ML (2022)
Xiang Liu, Huitao Feng, Jie Wu, Kelin Xia
-Complex-Based Machine Learning (HCML) for the Prediction of Protein-Protein Binding Affinity Changes upon Mutation. J. Chem. Inf. Model. 62 (17) (2022)
Peiran Jiang, Ying Chi, Xiao-Shuang Li, Xiang Liu, Xian-Sheng Hua, Kelin Xia
Molecular persistent spectral image (Mol-PSI) representation for machine learning models in drug design. Briefings Bioinform. 23 (1) (2022)
Junjie Wee, Kelin Xia
Persistent spectral based ensemble learning (PerSpect-EL) for protein-protein binding affinity prediction. Briefings Bioinform. 23 (2) (2022)
Xiang Liu, Huitao Feng, Jie Wu, Kelin Xia
Dowker complex based machine learning (DCML) models for protein-ligand binding affinity prediction. PLoS Comput. Biol. 18 (4) (2022)
Jiajie Peng, Jinjin Yang, D. Vijay Anand, Xuequn Shang, Kelin Xia
Flexibility and rigidity index for chromosome packing, flexibility and dynamics analysis. Frontiers Comput. Sci. 16 (4) (2022)
Xiao-Shuang Li, Xiang Liu, Le Lu, Xian-Sheng Hua, Ying Chi, Kelin Xia
Multiphysical graph neural network (MP-GNN) for COVID-19 drug design. Briefings Bioinform. 23 (4) (2022)
Chi Seng Pun, Si Xian Lee, Kelin Xia
Persistent-homology-based machine learning: a survey and a comparative study. Artif. Intell. Rev. 55 (7) (2022)
Weikang Gong, Junjie Wee, Min-Chun Wu, Xiaohan Sun, Chunhua Li, Kelin Xia
Persistent spectral simplicial complex-based machine learning for chromosomal structural analysis in cellular differentiation. Briefings Bioinform. 23 (4) (2022)
Junjie Wee, Kelin Xia
Forman persistent Ricci curvature (FPRC)-based machine learning models for protein-ligand binding affinity prediction. Briefings Bioinform. 22 (6) (2021)
Xiang Liu, Kelin Xia
Neighborhood Complex Based Machine Learning (NCML) Models for Drug Design. iMIMIC/TDA4MedicalData@MICCAI (2021)
Xiang Liu, Xiangjun Wang, Jie Wu, Kelin Xia
Hypergraph-based persistent cohomology (HPC) for molecular representations in drug design. Briefings Bioinform. 22 (5) (2021)
Xiang Liu, Huitao Feng, Jie Wu, Kelin Xia
Persistent spectral hypergraph based machine learning (PSH-ML) for protein-ligand binding affinity prediction. Briefings Bioinform. 22 (5) (2021)
Junjie Wee, Kelin Xia
Ollivier Persistent Ricci Curvature-Based Machine Learning for the Protein-Ligand Binding Affinity Prediction. J. Chem. Inf. Model. 61 (4) (2021)
Duan Chen, Shaoyu Li, Xue Wang, Kelin Xia
Fast random algorithms for manifold based optimization in reconstructing 3D chromosomal structures. Commun. Inf. Syst. 21 (1) (2021)
Tsung-Wen Yen, Kelin Xia, Siew Ann Cheong
Understanding Changes in the Topology and Geometry of Financial Market Correlations during a Market Crash. Entropy 23 (9) (2021)
Zhenliang Wu, Yuwei Zhang, John Z. H. Zhang, Kelin Xia, Fei Xia
Determining Optimal Coarse-Grained Representation for Biomolecules Using Internal Cluster Validation Indexes. J. Comput. Chem. 41 (1) (2020)
Zhenyu Meng, Kelin Xia
Persistent spectral based machine learning (PerSpect ML) for drug design. CoRR (2020)
Tatsuya Nagai, Makoto Takita, Keisuke Furumoto, Yoshiaki Shiraishi, Kelin Xia, Yasuhiro Takano, Masami Mohri, Masakatu Morii
Understanding Attack Trends from Security Blog Posts Using Guided-topic Model. J. Inf. Process. 27 (2019)
Tatsuya Nagai, Masaki Kamizono, Yoshiaki Shiraishi, Kelin Xia, Masami Mohri, Yasuhiro Takano, Masakatu Morii
A Malicious Web Site Identification Technique Using Web Structure Clustering. IEICE Trans. Inf. Syst. (9) (2019)
Kelin Xia
Persistent similarity for biomolecular structure comparison. Commun. Inf. Syst. 18 (4) (2018)
Yin Cao, Bao Wang, Kelin Xia, Guo-Wei Wei
Finite volume formulation of the MIB method for elliptic interface problems. J. Comput. Appl. Math. 321 (2017)
Lin Mu, Kelin Xia, Guo-Wei Wei
Geometric and electrostatic modeling using molecular rigidity functions. J. Comput. Appl. Math. 313 (2017)
Kristopher Opron, Kelin Xia, Zach Burton, Guo-Wei Wei
Flexibility-rigidity index for protein-nucleic acid flexibility and fluctuation analysis. J. Comput. Chem. 37 (14) (2016)
Kelin Xia, Zhixiong Zhao, Guo-Wei Wei
Multiresolution Topological Simplification. J. Comput. Biol. 22 (9) (2015)
Kelin Xia, Guo-Wei Wei
Multidimensional persistence in biomolecular data. J. Comput. Chem. 36 (20) (2015)
Bao Wang, Kelin Xia, Guo-Wei Wei
Second order method for solving 3D elasticity equations with complex interfaces. J. Comput. Phys. 294 (2015)
Kelin Xia, Xin Feng, Yiying Tong, Guo-Wei Wei
Persistent homology for the quantitative prediction of fullerene stability. J. Comput. Chem. 36 (6) (2015)
Bao Wang, Kelin Xia, Guo-Wei Wei
Matched interface and boundary method for elasticity interface problems. J. Comput. Appl. Math. 285 (2015)
Kelin Xia, Guo-Wei Wei
A Galerkin formulation of the MIB method for three dimensional elliptic interface problems. Comput. Math. Appl. 68 (7) (2014)
Kelin Xia, Meng Zhan, Guo-Wei Wei
MIB Galerkin method for elliptic interface problems. J. Comput. Appl. Math. 272 (2014)
Kelin Xia, Xin Feng, Zhan Chen, Yiying Tong, Guo-Wei Wei
Multiscale geometric modeling of macromolecules I: Cartesian representation. J. Comput. Phys. 257 (2014)
Xin Feng, Kelin Xia, Zhan Chen, Yiying Tong, Guo-Wei Wei
Multiscale geometric modeling of macromolecules II: Lagrangian representation. J. Comput. Chem. 34 (24) (2013)
Kelin Xia, Meng Zhan, Decheng Wan, Guo-Wei Wei
Adaptively deformed mesh based interface method for elliptic equations with discontinuous coefficients. J. Comput. Phys. 231 (4) (2012)
Guo-Wei Wei, Qiong Zheng, Zhan Chen, Kelin Xia
Variational Multiscale Models for Charge Transport. SIAM Rev. 54 (4) (2012)
Kelin Xia, Meng Zhan, Guo-Wei Wei
MIB method for elliptic equations with multi-material interfaces. J. Comput. Phys. 230 (12) (2011)