Scholar
Yuchao Lin
Google Scholar ID: TRmx8P0AAAAJ
Texas A&M University
Citations & Impact
Citations
1,068
H-index
8
i10-index
8
Publications
15
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Selected Publications include 'Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems' (Foundations and Trends in Machine Learning), 'Tensor Decomposition Networks for Fast Machine Learning Interatomic Potential Computations' (NeurIPS 2025), 'Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency' (ICML 2024 Spotlight [3.5% Acceptance Rate]), 'Large Scale Benchmark of Materials Design Methods' (npj Computational Materials), and 'Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction' (ICML 2023). Involved in multiple projects such as 'Tensor Decomposition Networks' and 'Large Scale Benchmark of Materials Design Methods'.
Research Experience
- Currently conducting research at DIVE lab, Texas A&M University.
Education
- Ph.D. Student at Texas A&M University, supervised by Prof. Shuiwang Ji; previously a research assistant at Nanjing University, advised by Prof. Yang Yu.
Background
- Research Interests: Artificial Intelligence for Science, Geometric Graph Neural Networks. Focuses on the broad application of invariant and equivariant geometric graph learning for 3D atomic systems.
Miscellany
- Website built with Hugo, using the Avicenna theme.
Co-authors