Guang Lin
Physics and Astronomy · Purdue University West Lafayette
Publications
88
Citations
199
Est. group size
—
Recurring co-author estimate
Active years
42
Publishing since 1985
This researcher works at the intersection of machine learning and computational science, developing methods such as operator learning, physics-informed neural networks, and Bayesian/federated learning approaches for simulating and analyzing complex physical systems. Applications in the publication record span partial differential equations, remote sensing, satellite systems, and some biomedical topics like cancer research, suggesting a methods-driven approach applied across varied domains. Prospective students would likely engage with topics combining statistical machine learning, uncertainty quantification, and scientific computing.
Publication output was minimal before 2021 but increased sharply from 2021-2023, followed by a decline in the past two years, suggesting a period of high activity that has recently slowed.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Task-tailored Pre-processing: Fair Downstream Supervised Learning
arXiv (Cornell University) · 2026
- Task-tailored Pre-processing: Fair Downstream Supervised Learning
arXiv (Cornell University) · 2026
- Active Operator Learning with Predictive Uncertainty Quantification for Partial Differential Equations
SSRN Electronic Journal · 2025
- Research on dynamic characteristics simulation technology of Inter-Satellite link signal transmission
Journal of Physics Conference Series · 2025
- Active operator learning with predictive uncertainty quantification for partial differential equations
arXiv (Cornell University) · 2025
- Management and Mechanisms of Diarrhea Induced by Tyrosine Kinase Inhibitors in Human Epidermal Growth Factor Receptor-2-Positive Breast Cancer
Cancer Control · 2024
- Bayesian Federated Learning with Hamiltonian Monte Carlo: Algorithm and Theory
Journal of Computational and Graphical Statistics · 2024
- A Multiscale Information Fusion Network Based on PixelShuffle Integrated With YOLO for Aerial Remote Sensing Object Detection
IEEE Geoscience and Remote Sensing Letters · 2024
- A narrative review: research progress of adjuvant intensive endocrine therapy for early breast cancer
Translational Breast Cancer Research · 2024
- Research on Radiation Damage and Reinforcement of Control and Sensing Systems in Nuclear Robots
Electronics · 2024
- Federated X-armed Bandit
Proceedings of the AAAI Conference on Artificial Intelligence · 2024
- Bayesian Federated Learning with Hamiltonian Monte Carlo: Algorithm and Theory
arXiv (Cornell University) · 2024
- In Orbit Testing Accuracy Analysis of Communication Satellite Transponders
2024
- Loss Terms and Operator Forms of Koopman Autoencoders
arXiv (Cornell University) · 2024
- Some Best Practices in Operator Learning
arXiv (Cornell University) · 2024
- arXiv (Cornell University)×32
- ChemRxiv×5
- SSRN Electronic Journal×2
- Proceedings of the AAAI Conference on Artificial Intelligence×2
- Frontiers in Neuroinformatics×1
- Adithya Srinivasan
Physics and Astronomy · Purdue University West Lafayette
- Shiheng Zhang
Physics and Astronomy · Purdue University West Lafayette
- Changhong Mou
Physics and Astronomy · Purdue University West Lafayette
- Guang Lin
Physics and Astronomy · Purdue University West Lafayette
- Amirhossein Mollaali
Physics and Astronomy · 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