Scholar
Shuyi Jia
Google Scholar ID: Wr-NrN4AAAAJ
Georgia Institute of Technology
Citations & Impact
Citations
103
H-index
6
i10-index
4
Publications
12
Co-authors
3
list available
Publications
Resume (English only)
Academic Achievements
- Paper on LLM-driven crystal structure generation accepted at AI4MAT ICLR 2025.
- Preprint on electronic structure guided materials inverse design.
- Review paper on GNNs accepted by Nature Reviews Electrical Engineering.
- Published paper 'Atomic structure generation from reconstructing structural fingerprints' with co-authors including Victor Fung, Jiaxin Zhang, etc., in Machine Learning: Science and Technology, 2022.
- Preprint 'LLMatDesign: Autonomous Materials Discovery with Large Language Models' with co-authors Chao Zhang and Victor Fung, arXiv preprint arXiv:2406.13163, 2024.
- Preprint 'Electronic Structure Guided Inverse Design Using Generative Models' with co-authors Panchapakesan Ganesh and Victor Fung, arXiv preprint arXiv:2504.06249, 2025.
Research Experience
- Currently a PhD student at Georgia Tech, focusing on the application of deep generative models in materials discovery.
Education
- Bachelor's Degree: Computer Science with highest distinction from Singapore University of Technology and Design (SUTD); PhD Student: Computational Science and Engineering at Georgia Tech, advised by Prof. Victor Fung.
Background
- Research Interests: Machine Learning, AI for Science; Field: Computational Science and Engineering; Summary: Passionate about deep generative models for accelerating materials discovery.
Miscellany
- You can reach me via email: shuyijia[at]gatech.edu. The website is powered by Jekyll with the al-folio theme, hosted by GitHub Pages.
