Yi Liu
Scholar

Yi Liu

Google Scholar ID: 3-yC1aIAAAAJ
Assistant Professor at Stony Brook University
Geometric Deep LearningAI for ScienceScientific Machine Learning
Citations & Impact
All-time
Citations
1,633
 
H-index
12
 
i10-index
13
 
Publications
20
 
Co-authors
9
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Invited as Area Chair for ICLR 2026 (August 2025)
  • Ph.D. student Jingxiang Qu awarded the IACS Young Writer’s Award (May 2025)
  • Released multiple preprints in 2025 on LLM-based multi-agent drug discovery and advanced diffusion models for 3D molecular generation
  • Led team to win 1st place in MICCAI CREMI Cleft Detection Open Challenge
  • Member of the #3 team in the Open Catalyst Challenge
  • Contributor to the popular open-source library DIG: Dive Into Graphs
Background
  • Assistant Professor of Data Science at Stony Brook University, jointly appointed in the Department of Applied Mathematics & Statistics and the Department of Computer Science
  • Affiliated with the AI Innovation Institute and the Institute for Advanced Computational Science
  • Research interests broadly span machine learning, deep learning, and data mining, with specific focus on geometric deep learning, AI for Science (AI4Science), scientific machine learning (SciML), and LLMs for Science
  • Aims to develop novel AI methods to address critical problems in quantum chemistry, physics, PDEs, climate science, materials science, and biochemistry
  • Active in open challenges and open-source communities: leads the champion team in the MICCAI CREMI Cleft Detection Challenge, member of the #3 team in the Open Catalyst Challenge, and contributor to the open-source library DIG: Dive Into Graphs