Scholar
Junze Liu
Google Scholar ID: kDM6OYsAAAAJ
University of California, Irvine
Citations & Impact
Citations
2,710
H-index
21
i10-index
28
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Journals: 'Generalizing to new geometries with Geometry-Aware Autoregressive Models (GAAMs) for fast calorimeter simulation' etc.; Conference/Workshop Papers: 'Domain-Adaptive ML for Surface Roughness Predictions in Nuclear Fusion' etc.
Research Experience
- PhD projects included: LLMs for neutrino classification, generative models for calorimeter simulation, reconstruction of neutrino features using deep learning, machine learning in high energy physics, and computational methods for bioimaging and biomedical informatics.
Education
- Ph.D. in Computer Science from the University of California, Irvine, advised by Prof. Pierre Baldi; M.Eng. from the University of Illinois at Urbana-Champaign, working closely with Prof. Ruoyu Sun and Prof. Benjamin Hooberman.
Background
- Currently an Applied Scientist at Amazon (Rufus team), focusing on leveraging large language models to improve customer experiences and support innovative solutions. Research interests include computer vision, deep learning, and its applications in physical science.
Co-authors