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ORCIDKelin Xia
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- affiliation: Nanyang Technological University, Singapore
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2020 – today
- 2024
[j39]Yipeng Zhang, Cong Shen, Kelin Xia:
Multi-Cover Persistence (MCP)-based machine learning for polymer property prediction. Briefings Bioinform. 25(6) (2024)- [j38]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: 107918 (2024) - [c3]See Hian Lee, Feng Ji, Kelin Xia, Wee Peng Tay:
Graph Neural Networks with a Distribution of Parametrized Graphs. ICML 2024 - [i9]Joshua Zhi En Tan, Junjie Wee, Xue Gong, Kelin Xia:
Topology-enhanced machine learning model (Top-ML) for anticancer peptide prediction. CoRR abs/2407.08974 (2024) - [i8]Chuan-Shen Hu, Rishikanta Mayengbam, Kelin Xia, Tze Chien Sum:
Quotient complex (QC)-based machine learning for 2D perovskite design. CoRR abs/2407.16996 (2024) - [i7]Cong Shen, Yipeng Zhang, Fei Han, Kelin Xia:
Molecular topological deep learning for polymer property prediction. CoRR abs/2410.04765 (2024) - [i6]Longlong Li, Yipeng Zhang, Guanghui Wang, Kelin Xia:
KA-GNN: Kolmogorov-Arnold Graph Neural Networks for Molecular Property Prediction. CoRR abs/2410.11323 (2024) - 2023
- [j37]Xiang Liu, Huitao Feng, Zhi Lü, Kelin Xia:
Persistent Tor-algebra for protein-protein interaction analysis. Briefings Bioinform. 24(2) (2023) - [j36]Tsung-Wen Yen, Kelin Xia, Siew Ann Cheong:
Laplacian Spectra of Persistent Structures in Taiwan, Singapore, and US Stock Markets. Entropy 25(6): 846 (2023) - [j35]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): 2928-2935 (2023) - [j34]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): 4216-4227 (2023) - [i5]Cong Shen, Xiang Liu, Jiawei Luo, Kelin Xia:
Torsion Graph Neural Networks. CoRR abs/2306.13541 (2023) - [i4]Cong Shen, Pingjian Ding, Junjie Wee, Jialin Bi, Jiawei Luo, Kelin Xia:
Curvature-enhanced Graph Convolutional Network for Biomolecular Interaction Prediction. CoRR abs/2306.13699 (2023) - [i3]Cong Shen, Jiawei Luo, Kelin Xia:
Molecular geometric deep learning. CoRR abs/2306.15065 (2023) - [i2]See Hian Lee, Feng Ji, Kelin Xia, Wee Peng Tay:
Graph Neural Networks with a Distribution of Parametrized Graphs. CoRR abs/2310.16401 (2023) - 2022
- [j33]Chi Seng Pun, Si Xian Lee, Kelin Xia:
Persistent-homology-based machine learning: a survey and a comparative study. Artif. Intell. Rev. 55(7): 5169-5213 (2022) - [j32]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) - [j31]Junjie Wee, Kelin Xia:
Persistent spectral based ensemble learning (PerSpect-EL) for protein-protein binding affinity prediction. Briefings Bioinform. 23(2) (2022) - [j30]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) - [j29]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) - [j28]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): 164902 (2022) - [j27]Xiang Liu, Huitao Feng, Jie Wu, Kelin Xia:
Hom-Complex-Based Machine Learning (HCML) for the Prediction of Protein-Protein Binding Affinity Changes upon Mutation. J. Chem. Inf. Model. 62(17): 3961-3969 (2022) - [j26]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) - [c2]Xiang Liu, Kelin Xia:
Persistent tor-algebra based stacking ensemble learning (PTA-SEL) for protein-protein binding affinity prediction. TAG-ML 2022: 237-247 - 2021
- [j25]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) - [j24]Xiang Liu, Xiangjun Wang, Jie Wu, Kelin Xia:
Hypergraph-based persistent cohomology (HPC) for molecular representations in drug design. Briefings Bioinform. 22(5) (2021) - [j23]Junjie Wee, Kelin Xia:
Forman persistent Ricci curvature (FPRC)-based machine learning models for protein-ligand binding affinity prediction. Briefings Bioinform. 22(6) (2021) - [j22]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): 1-29 (2021) - [j21]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): 1211 (2021) - [j20]Junjie Wee, Kelin Xia:
Ollivier Persistent Ricci Curvature-Based Machine Learning for the Protein-Ligand Binding Affinity Prediction. J. Chem. Inf. Model. 61(4): 1617-1626 (2021) - [c1]Xiang Liu, Kelin Xia:
Neighborhood Complex Based Machine Learning (NCML) Models for Drug Design. iMIMIC/TDA4MedicalData@MICCAI 2021: 87-97 - 2020
- [j19]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): 14-20 (2020) - [i1]Zhenyu Meng, Kelin Xia:
Persistent spectral based machine learning (PerSpect ML) for drug design. CoRR abs/2002.00582 (2020)
2010 – 2019
- 2019
- [j18]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. 102-D(9): 1665-1672 (2019) - [j17]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: 802-809 (2019) - 2018
- [j16]Kelin Xia:
Persistent similarity for biomolecular structure comparison. Commun. Inf. Syst. 18(4): 269-298 (2018) - 2017
- [j15]Lin Mu, Kelin Xia, Guo-Wei Wei:
Geometric and electrostatic modeling using molecular rigidity functions. J. Comput. Appl. Math. 313: 18-37 (2017) - [j14]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: 60-77 (2017) - 2016
- [j13]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): 1283-1295 (2016) - 2015
- [j12]Bao Wang, Kelin Xia, Guo-Wei Wei:
Matched interface and boundary method for elasticity interface problems. J. Comput. Appl. Math. 285: 203-225 (2015) - [j11]Kelin Xia, Zhixiong Zhao, Guo-Wei Wei:
Multiresolution Topological Simplification. J. Comput. Biol. 22(9): 887-891 (2015) - [j10]Kelin Xia, Xin Feng, Yiying Tong, Guo-Wei Wei:
Persistent homology for the quantitative prediction of fullerene stability. J. Comput. Chem. 36(6): 408-422 (2015) - [j9]Kelin Xia, Guo-Wei Wei:
Multidimensional persistence in biomolecular data. J. Comput. Chem. 36(20): 1502-1520 (2015) - [j8]Bao Wang, Kelin Xia, Guo-Wei Wei:
Second order method for solving 3D elasticity equations with complex interfaces. J. Comput. Phys. 294: 405-438 (2015) - 2014
- [j7]Kelin Xia, Guo-Wei Wei:
A Galerkin formulation of the MIB method for three dimensional elliptic interface problems. Comput. Math. Appl. 68(7): 719-745 (2014) - [j6]Kelin Xia, Meng Zhan, Guo-Wei Wei:
MIB Galerkin method for elliptic interface problems. J. Comput. Appl. Math. 272: 195-220 (2014) - [j5]Kelin Xia, Xin Feng, Zhan Chen, Yiying Tong, Guo-Wei Wei:
Multiscale geometric modeling of macromolecules I: Cartesian representation. J. Comput. Phys. 257: 912-936 (2014) - 2013
- [j4]Xin Feng, Kelin Xia, Zhan Chen, Yiying Tong, Guo-Wei Wei:
Multiscale geometric modeling of macromolecules II: Lagrangian representation. J. Comput. Chem. 34(24): 2100-2120 (2013) - 2012
- [j3]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): 1440-1461 (2012) - [j2]Guo-Wei Wei, Qiong Zheng, Zhan Chen, Kelin Xia:
Variational Multiscale Models for Charge Transport. SIAM Rev. 54(4): 699-754 (2012) - 2011
- [j1]Kelin Xia, Meng Zhan, Guo-Wei Wei:
MIB method for elliptic equations with multi-material interfaces. J. Comput. Phys. 230(12): 4588-4615 (2011)
Coauthor Index
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