Xiang Liu

Xiang Liu

Postdoctoral Scholar

Department of Mathematics, Michigan State University

East Lansing, Michigan, USA

Email: liuxia98@msu.edu

Publications

  • Xinyu You, Xiang Liu, Chuan-Shen Hu, Kelin Xia, Tze Chien Sum. “Quotient Complex Transformer (QCformer) for Perovskite Data Analysis.” Cell Reports Physical Science, 2026.
  • Xiang Liu, Zhe Su, Yongyi Shi, Yiying Tong, Ge Wang, Guo-Wei Wei. “Manifold Topological Deep Learning for Biomedical Data.” Nature Communications, 2026.
  • Zhe Su, Xiang Liu, Layal Bou Hamdan, Vasileios Maroulas, Jie Wu, Gunnar Carlsson, Guo-Wei Wei. “Topological data analysis and topological deep learning beyond persistent homology—a review.” Artificial Intelligence Review, 2025.
  • Xiang Liu, Junjie Wee, Guo-Wei Wei. “Topological Machine Learning for Protein–Nucleic Acid Binding Affinity Changes Upon Mutation.” Machine Learning: Science and Technology, 2025.
  • Xiang Liu, Xuefei Huang, Guo-Wei Wei. “Topological Learning Prediction of Virus-like Particle Stoichiometry and Stability.” Biophysical Journal, 2025.
  • Cong Shen, Xiang Liu, Jiawei Luo, Kelin Xia. “Torsion Graph Neural Networks.” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025.
  • Li Feng, Dengcheng Yang, Sinan Wu, Chengwen Xue, Mengmeng Sang, Xiang Liu, Jincan Che, Jie Wu, Claudia Gragnoli, Christopher Griffin, Chen Wang, Shing-Tung Yau, Rongling Wu. “Network modeling and topology of aging.” Physics Reports, 2025.
  • Li Feng, Huiying Gong, Shen Zhang, Xiang Liu, Yu Wang, Jincan Che, Ang Dong, Christopher H. Griffin, Claudia Gragnoli, Jie Wu, Shing-Tung Yau, Rongling Wu. “Hypernetwork modeling and topology of high-order interactions for complex systems.” Proceedings of the National Academy of Sciences, 2024.
  • Huiying Gong, Hongxing Wang, Yu Wang, Shen Zhang, Xiang Liu, Jincan Che, Shuang Wu, Jie Wu, Xiaomei Sun, Shougong Zhang, Shing-Tung Yau, Rongling Wu. “Topological change of soil microbiota networks for forest resilience under global warming.” Physics of Life Reviews, 2024.
  • Xiang Liu, Huitao Feng, Jie Wu, Kelin Xia. “Computing hypergraph homology.” Foundations of Data Science, 2024.
  • Shuang Wu, Xiang Liu, Ang Dong, Claudia Gragnoli, Christopher Griffin, Jie Wu, Shing-Tung Yau, Rongling Wu. “The metabolomic physics of complex diseases.” Proceedings of the National Academy of Sciences, 2023.
  • Xiang Liu, Huitao Feng, Zhi Lü, Kelin Xia. “Persistent Tor-algebra for protein–protein interaction analysis.” Briefings in Bioinformatics, 2023.
  • Ran Liu, Xiang Liu, Jie Wu. “Persistent Path-Spectral Based Machine Learning for Protein–Ligand Binding Affinity Prediction.” Journal of Chemical Information and Modeling, 2023.
  • Xiang Liu, Huitao Feng, Jie Wu, Kelin Xia. “Dowker complex based machine learning models for protein-ligand binding affinity prediction.” PLOS Computational Biology, 2022.
  • Xiang Liu, Huitao Feng, Jie Wu, Kelin Xia. “Persistent spectral hypergraph based machine learning for protein-ligand binding affinity prediction.” Briefings in Bioinformatics, 2021.
  • Xiang Liu, Xiangjun Wang, Jie Wu, Kelin Xia. “Hypergraph based persistent cohomology for molecular representations in drug design.” Briefings in Bioinformatics, 2021.

For the complete and current list, see [ Google Scholar ] or [ Curriculum Vitae ].