Xiang Liu

According to our database, Xiang Liu authored at least 14 papers between 2021 and 2025.

Collaborative distances:

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

2025

Quotient Complex Transformer (QCformer) for Perovskite Data Analysis.

Xinyu You, Xiang Liu, Chuan-Shen Hu, Kelin Xia, Tze Chien Sum

CoRR, May, 2025

Torsion Graph Neural Networks.

Cong Shen, Xiang Liu, Jiawei Luo, Kelin Xia

IEEE Trans. Pattern Anal. Mach. Intell., April, 2025

Join Persistent Homology (JPH)-Based Machine Learning for Metalloprotein-Ligand Binding Affinity Prediction.

Yaxing Wang, Xiang Liu, Yipeng Zhang, Xiangjun Wang, Kelin Xia

J. Chem. Inf. Model., 2025

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

Persistent Tor-algebra for protein-protein interaction analysis.

Xiang Liu, Huitao Feng, Zhi Lü, Kelin Xia

Briefings Bioinform., March, 2023

Persistent Path-Spectral (PPS) Based Machine Learning for Protein-Ligand Binding Affinity Prediction.

Ran Liu, Xiang Liu, Jie Wu

J. Chem. Inf. Model., February, 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

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

Xiang Liu, Kelin Xia

Proceedings of the Topological, 2022

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