Xiang Liu

17 papers Journal 15Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Topological data analysis and topological deep learning beyond persistent homology: a review.
Artif. Intell. Rev.
Zhe Su, Xiang Liu, Layal Bou Hamdan, Vasileios Maroulas, Jie Wu, Gunnar Carlsson, Guo-Wei Wei
2025 J jnl
Join Persistent Homology (JPH)-Based Machine Learning for Metalloprotein-Ligand Binding Affinity Prediction.
J. Chem. Inf. Model.
Yaxing Wang, Xiang Liu, Yipeng Zhang, Xiangjun Wang, Kelin Xia
2025 J jnl
Manifold Topological Deep Learning for Biomedical Data.
CoRR
Xiang Liu, Zhe Su, Yongyi Shi, Yiying Tong, Ge Wang, Guo-Wei Wei
2025 J jnl
Quotient Complex Transformer (QCformer) for Perovskite Data Analysis.
CoRR
Xinyu You, Xiang Liu, Chuan-Shen Hu, Kelin Xia, Tze Chien Sum
2025 J jnl
Topological machine learning for protein-nucleic acid binding affinity changes upon mutation.
Mach. Learn. Sci. Technol.
Xiang Liu, Junjie Wee, Guo-Wei Wei
2025 J jnl
Torsion Graph Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Cong Shen, Xiang Liu, Jiawei Luo, Kelin Xia
2023 J jnl
Multiscale Topological Indices for the Quantitative Prediction of SARS CoV-2 Binding Affinity Change upon Mutations.
J. Chem. Inf. Model.
Jialin Bi, Junjie Wee, Xiang Liu, Cunquan Qu, Guanghui Wang, Kelin Xia
2023 J jnl
Persistent Path-Spectral (PPS) Based Machine Learning for Protein-Ligand Binding Affinity Prediction.
J. Chem. Inf. Model.
Ran Liu, Xiang Liu, Jie Wu
2023 J jnl
Persistent Tor-algebra for protein-protein interaction analysis.
Briefings Bioinform.
Xiang Liu, Huitao Feng, Zhi Lü, Kelin Xia
2023 J jnl
Torsion Graph Neural Networks.
CoRR
Cong Shen, Xiang Liu, Jiawei Luo, Kelin Xia
2022 J jnl
Dowker complex based machine learning (DCML) models for protein-ligand binding affinity prediction.
PLoS Comput. Biol.
Xiang Liu, Huitao Feng, Jie Wu, Kelin Xia
2022 J jnl
Molecular persistent spectral image (Mol-PSI) representation for machine learning models in drug design.
Briefings Bioinform.
Peiran Jiang, Ying Chi, Xiao-Shuang Li, Xiang Liu, Xian-Sheng Hua, Kelin Xia
2022 J jnl
Multiphysical graph neural network (MP-GNN) for COVID-19 drug design.
Briefings Bioinform.
Xiao-Shuang Li, Xiang Liu, Le Lu, Xian-Sheng Hua, Ying Chi, Kelin Xia
2022 — conf
Persistent tor-algebra based stacking ensemble learning (PTA-SEL) for protein-protein binding affinity prediction.
TAG-ML
Xiang Liu, Kelin Xia
2021 J jnl
Hypergraph-based persistent cohomology (HPC) for molecular representations in drug design.
Briefings Bioinform.
Xiang Liu, Xiangjun Wang, Jie Wu, Kelin Xia
2021 — conf
Neighborhood Complex Based Machine Learning (NCML) Models for Drug Design.
iMIMIC/TDA4MedicalData@MICCAI
Xiang Liu, Kelin Xia
2021 J jnl
Persistent spectral hypergraph based machine learning (PSH-ML) for protein-ligand binding affinity prediction.
Briefings Bioinform.
Xiang Liu, Huitao Feng, Jie Wu, Kelin Xia