Xiang Liu
Computer Science · Purdue University West Lafayette
Publications
58
Citations
717
Est. group size
—
Recurring co-author estimate
Active years
24
Publishing since 2002
Xiang Liu works on developing mathematical and machine-learning tools—particularly methods from topology (the study of shapes and connectivity, such as persistent homology) and graph-based deep learning—to analyze complex biological data. Applications include predicting how strongly drugs or proteins bind to their targets, studying protein and RNA structure, and analyzing biomedical and other structured data more broadly. The publication record also includes some more applied or unrelated engineering projects, such as noise detection in electric machines and image-based positioning systems.
Publication output has grown substantially over the last decade, rising from about 1 paper per year in 2017 to a peak of 14 in 2025, with a recent five-year average of roughly 7 papers per year.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Research and progress of cGAS/STING/NLRP3 signaling pathway: a mini review
Frontiers in Immunology · 2025
- Join Persistent Homology (JPH)-Based Machine Learning for Metalloprotein–Ligand Binding Affinity Prediction
Journal of Chemical Information and Modeling · 2025
- Efficient transplantation of STING protein-enriched endoplasmic reticulum for tumor immunotherapy via ionizable membrane fusion liposome
Chemical Engineering Journal · 2025
- Torsion Graph Neural Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2025
- Abnormal noise detection of electric machines based on HPSS-CIS and CNN-CBAM
Acta Acustica · 2025
- Validation and Further Analysis of the <scp>COPD</scp> Exacerbation Recognition Tool ( <scp>CERT</scp> )
Respirology · 2025
- Topological Data Analysis and Topological Deep Learning Beyond Persistent Homology -- A Review
arXiv (Cornell University) · 2025
- Effect of Infrared Image Point Centroiding Accuracy on Spatial Positioning in Helmet-Mounted Sight System
Lecture notes in electrical engineering · 2025
- Manifold Topological Deep Learning for Biomedical Data
Research Square · 2025
- Research on Road Damage Recognition Based on VanillaNet Neural Network
Journal of Computer Science and Artificial Intelligence · 2025
- Spatialized Looming Sounds in Virtual Reality: Reaction Times and Localization Accuracy
Lecture notes in computer science · 2025
- Manifold Topological Deep Learning for Biomedical Data
arXiv (Cornell University) · 2025
- Serine Promotes Inflammatory Macrophage Polarisation in Periodontitis via <scp>NAD</scp> <sup>+</sup> Signalling
Journal Of Clinical Periodontology · 2025
- Computing hypergraph homology
Foundations of Data Science · 2024
- Research on 3D Modeling of Real Scene of Ancient Timber Structures Based on UAV Tilt Photogrammetry
2024
- Briefings in Bioinformatics×5
- arXiv (Cornell University)×5
- Journal of Chemical Information and Modeling×4
- Figshare×3
- Lecture notes in electrical engineering×2
- Woong‐Hee Shin
Computer Science · Purdue University West Lafayette
- Jianwen Chen
Computer Science · The Ohio State University
- Anton V. Sinitskiy
Computer Science · Purdue University West Lafayette
- Samy O. Meroueh
Computer Science · Indiana University
- Yu‐Chen Yen
Computer Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile