Scholar
BOHAN CHEN
Google Scholar ID: tuvp6L8AAAAJ
Postdoctoral Scholar, Caltech CMS
Citations & Impact
Citations
99
H-index
5
i10-index
4
Publications
16
Co-authors
0
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- - Publication: Flow Matching for Efficient and Scalable Data Assimilation
- - Publication: Learning Enhanced Ensemble Filters
- - Publication: GLL: A Differentiable Graph Learning Layer for Neural Networks
- - Publication: AutoKG: Efficient Automated Knowledge Graph Generation for Language Models
- - Publication: Graph-Based Active Learning for Nearly Blind Hyperspectral Unmixing
Research Experience
- - Postdoctoral Researcher at Caltech, focusing on data assimilation
- - During Ph.D., researched graph-based machine learning and active learning methods, applying them to semi-supervised learning tasks to reduce reliance on traditional data-hungry approaches
Education
- - Ph.D. in Mathematics, Department of Mathematics, University of California, Los Angeles, Advisor: Prof. Andrew Stuart
- - B.S. in Mathematics, School of Mathematical Sciences, Peking University
Background
- - Research Interests: Data assimilation, graph-based machine learning, image analysis and processing, mathematical modeling, KG-enhanced LLMs
- - Background: Bohan Chen is a postdoctoral researcher at Caltech, with a current focus on data assimilation. During his Ph.D., he applied graph-based active learning methods to different image processing problems and developed innovative batch active learning strategies.
Miscellany
- - Personal Interest: Designed a unique personal icon inspired by mathematical symbols
- - Will be a mentor for the Caltech Summer Undergraduate Research Fellowships (SURF) program in 2025
Co-authors