MIB method for elliptic equations with multi-material interfaces. - Kelin Xia; Meng Zhan; Guo-Wei Wei 001 (J. Comput. Phys., 2011)

Adaptively deformed mesh based interface method for elliptic equations with discontinuous coefficients. - Kelin Xia; Meng Zhan; Decheng Wan; Guo-Wei Wei 001 (J. Comput. Phys., 2012)

Variational Multiscale Models for Charge Transport. - Guo-Wei Wei 001; Qiong Zheng; Zhan Chen; Kelin Xia (SIAM Rev., 2012)

Multiscale geometric modeling of macromolecules II: Lagrangian representation. - Xin Feng; Kelin Xia; Zhan Chen; Yiying Tong; Guo-Wei Wei 001 (J. Comput. Chem., 2013)

A Galerkin formulation of the MIB method for three dimensional elliptic interface problems. - Kelin Xia; Guo-Wei Wei 001 (Comput. Math. Appl., 2014)

MIB Galerkin method for elliptic interface problems. - Kelin Xia; Meng Zhan; Guo-Wei Wei 001 (J. Comput. Appl. Math., 2014)

Multiscale geometric modeling of macromolecules I: Cartesian representation. - Kelin Xia; Xin Feng; Zhan Chen; Yiying Tong; Guo-Wei Wei 001 (J. Comput. Phys., 2014)

Matched interface and boundary method for elasticity interface problems. - Bao Wang 001; Kelin Xia; Guo-Wei Wei 001 (J. Comput. Appl. Math., 2015)

Multiresolution Topological Simplification. - Kelin Xia; Zhixiong Zhao; Guo-Wei Wei 001 (J. Comput. Biol., 2015)

Persistent homology for the quantitative prediction of fullerene stability. - Kelin Xia; Xin Feng; Yiying Tong; Guo-Wei Wei 001 (J. Comput. Chem., 2015)

Multidimensional persistence in biomolecular data. - Kelin Xia; Guo-Wei Wei 001 (J. Comput. Chem., 2015)

Second order method for solving 3D elasticity equations with complex interfaces. - Bao Wang 001; Kelin Xia; Guo-Wei Wei 001 (J. Comput. Phys., 2015)

Flexibility-rigidity index for protein-nucleic acid flexibility and fluctuation analysis. - Kristopher Opron; Kelin Xia; Zach Burton; Guo-Wei Wei 001 (J. Comput. Chem., 2016)

Finite volume formulation of the MIB method for elliptic interface problems. - Yin Cao; Bao Wang 001; Kelin Xia; Guo-Wei Wei 001 (J. Comput. Appl. Math., 2017)

Geometric and electrostatic modeling using molecular rigidity functions. - Lin Mu; Kelin Xia; Guo-Wei Wei 001 (J. Comput. Appl. Math., 2017)

Persistent similarity for biomolecular structure comparison. - Kelin Xia (Commun. Inf. Syst., 2018)

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)

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)

Persistent spectral based machine learning (PerSpect ML) for drug design. - Zhenyu Meng; Kelin Xia (CoRR, 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)

Neighborhood Complex Based Machine Learning (NCML) Models for Drug Design. - Xiang Liu 021; Kelin Xia (iMIMIC/TDA4MedicalData@MICCAI, 2021)

Persistent spectral hypergraph based machine learning (PSH-ML) for protein-ligand binding affinity prediction. - Xiang Liu 021; Huitao Feng; Jie Wu 038; Kelin Xia (Briefings Bioinform., 2021)

Hypergraph-based persistent cohomology (HPC) for molecular representations in drug design. - Xiang Liu 021; Xiangjun Wang; Jie Wu 038; Kelin Xia (Briefings Bioinform., 2021)

Forman persistent Ricci curvature (FPRC)-based machine learning models for protein-ligand binding affinity prediction. - Junjie Wee; Kelin Xia (Briefings Bioinform., 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)

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)

Ollivier Persistent Ricci Curvature-Based Machine Learning for the Protein-Ligand Binding Affinity Prediction. - Junjie Wee; Kelin Xia (J. Chem. Inf. Model., 2021)

Persistent tor-algebra based stacking ensemble learning (PTA-SEL) for protein-protein binding affinity prediction. - Xiang Liu 021; Kelin Xia (TAG-ML, 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 spectral simplicial complex-based machine learning for chromosomal structural analysis in cellular differentiation. - Weikang Gong; Junjie Wee; Min-Chun Wu; Xiaohan Sun; Chunhua Li 001; 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 021; Xian-Sheng Hua 001; Kelin Xia (Briefings Bioinform., 2022)

Multiphysical graph neural network (MP-GNN) for COVID-19 drug design. - Xiao-Shuang Li; Xiang Liu 021; Le Lu 001; Xian-Sheng Hua 001; Ying Chi; Kelin Xia (Briefings Bioinform., 2022)

Persistent spectral based ensemble learning (PerSpect-EL) for protein-protein binding affinity prediction. - Junjie Wee; Kelin Xia (Briefings Bioinform., 2022)

Flexibility and rigidity index for chromosome packing, flexibility and dynamics analysis. - Jiajie Peng; Jinjin Yang; D. Vijay Anand; Xuequn Shang 001; Kelin Xia (Frontiers Comput. Sci., 2022)

Hom-Complex-Based Machine Learning (HCML) for the Prediction of Protein-Protein Binding Affinity Changes upon Mutation. - Xiang Liu 021; Huitao Feng; Jie Wu 038; Kelin Xia (J. Chem. Inf. Model., 2022)

Dowker complex based machine learning (DCML) models for protein-ligand binding affinity prediction. - Xiang Liu 021; Huitao Feng; Jie Wu 038; Kelin Xia (PLoS Comput. Biol., 2022)

Curvature-enhanced Graph Convolutional Network for Biomolecular Interaction Prediction. - Cong Shen 002; Pingjian Ding; Junjie Wee; Jialin Bi; Jiawei Luo 001; Kelin Xia (CoRR, 2023)

Molecular geometric deep learning. - Cong Shen 002; Jiawei Luo 001; Kelin Xia (CoRR, 2023)

Persistent Tor-algebra for protein-protein interaction analysis. - Xiang Liu 021; Huitao Feng; Zhi Lü; Kelin Xia (Briefings Bioinform., 2023)

Fingerprint-Enhanced Graph Attention Network (FinGAT) Model for Antibiotic Discovery. - Hou Yee Choo; Junjie Wee; Cong Shen 002; Kelin Xia (J. Chem. Inf. Model., 2023)

Laplacian Spectra of Persistent Structures in Taiwan, Singapore, and US Stock Markets. - Tsung-Wen Yen; Kelin Xia; Siew Ann Cheong (Entropy, 2023)

Multiscale Topological Indices for the Quantitative Prediction of SARS CoV-2 Binding Affinity Change upon Mutations. - Jialin Bi; Junjie Wee; Xiang Liu 021; Cunquan Qu; Guanghui Wang 002; Kelin Xia (J. Chem. Inf. Model., 2023)

Graph Neural Networks with a Distribution of Parametrized Graphs. - See Hian Lee; Feng Ji; Kelin Xia; Wee Peng Tay (ICML, 2024)

Multi-Cover Persistence (MCP)-based machine learning for polymer property prediction. - Yipeng Zhang; Cong Shen 002; Kelin Xia (Briefings Bioinform., 2024)

Quotient complex (QC)-based machine learning for 2D perovskite design. - Chuan-Shen Hu; Rishikanta Mayengbam; Kelin Xia; Tze Chien Sum (CoRR, 2024)

Molecular topological deep learning for polymer property prediction. - Cong Shen 002; Yipeng Zhang; Fei Han; Kelin Xia (CoRR, 2024)

KA-GNN: Kolmogorov-Arnold Graph Neural Networks for Molecular Property Prediction. - Longlong Li; Yipeng Zhang; Guanghui Wang 002; Kelin Xia (CoRR, 2024)

A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity. - Junjie Wee; Xue Gong; Wilderich Tuschmann; Kelin Xia (CoRR, 2024)

Integration of persistent Laplacian and pre-trained transformer for protein solubility changes upon mutation. - Junjie Wee; Jiahui Chen 006; Kelin Xia; Guo-Wei Wei 001 (Comput. Biol. Medicine, 2024)

Path Complex Neural Networks for Sequential Process Activities Classification. - Liang Huang; Kelin Xia; Chuan-Shen Hu (KDD (1), 2025)

TopoQA: a topological deep learning-based approach for protein complex structure interface quality assessment. - Bingqing Han; Yipeng Zhang; Longlong Li; Xinqi Gong; Kelin Xia (Briefings Bioinform., 2025)

Quotient Complex (QC)-Based Machine Learning for 2D Hybrid Perovskite Design. - Chuan-Shen Hu; Rishikanta Mayengbam; Kelin Xia; Tze Chien Sum (J. Chem. Inf. Model., 2025)

Topology-Enhanced Machine Learning Model (Top-ML) for Anticancer Peptide Prediction. - Joshua Zhi En Tan; Junjie Wee; Xue Gong; Kelin Xia (J. Chem. Inf. Model., 2025)

Join Persistent Homology (JPH)-Based Machine Learning for Metalloprotein-Ligand Binding Affinity Prediction. - Yaxing Wang; Xiang Liu 021; Yipeng Zhang; Xiangjun Wang; Kelin Xia (J. Chem. Inf. Model., 2025)

Commutative algebra-enhanced topological data analysis. - Chuan-Shen Hu; Yu Wang; Kelin Xia; Ke Ye; Yipeng Zhang (CoRR, 2025)

Torsion Graph Neural Networks. - Cong Shen 002; Xiang Liu 021; Jiawei Luo 001; Kelin Xia (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Quotient Complex Transformer (QCformer) for Perovskite Data Analysis. - Xinyu You; Xiang Liu 021; Chuan-Shen Hu; Kelin Xia; Tze Chien Sum (CoRR, 2025)

Rhomboid Tiling for Geometric Graph Deep Learning. - Yipeng Zhang; Longlong Li; Kelin Xia (CoRR, 2025)