Yuchao Lin
- Ph.D. Student, Texas A&M University
- kruskallin@tamu.edu
I am a Ph.D. student at Texas A&M University supervised by Prof. Shuiwang Ji. My research interest is in the broad application of 3D graph learning.
Research Interests:
Artificial Intelligence for Science | Graph Neural Networks
Research Interests:
Artificial Intelligence for Science | Graph Neural Networks
Publications
- SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations. Xuan Zhang, Jacob Helwig, Yuchao Lin, Yaochen Xie, Cong Fu, Stephan Wojtowytsch, Shuiwang Ji. Proceedings of the 41th International Conference on Machine Learning, (ICLR 2024). [pdf] [code]
- Large Scale Benchmark of Materials Design Methods. Kamal Choudhary, Daniel Wines, Kangming Li, ..., Keqiang Yan, Yuchao Lin, Shuiwang Ji, ..., Adam J. Biacchi, Francesca Tavazza. [pdf]
- Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems. Xuan Zhang, Limel Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, ..., Tess Smidt, Shuiwang Ji. [pdf] [code]
- Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction. Yuchao Lin, Keqiang Yan, Youzhi Luo, Yi Liu, Xiaoning Qian, and Shuiwang Ji. Proceedings of the 40th International Conference on Machine Learning, (ICML 2023). [pdf] [code]
- ComENet: Towards Complete and Efficient Message Passing for 3D Molecular Graphs. Limei Wang*, Yi Liu*, Yuchao Lin, Haoran Liu, and Shuiwang Ji. The 36th Annual Conference on Neural Information Processing Systems, (NeurIPS 2022). [pdf] [code]
- Periodic Graph Transformers for Crystal Material Property Prediction. Keqiang Yan, Yi Liu, Yuchao Lin, and Shuiwang Ji. Thirty-sixth Conference on Neural Information Processing Systems, (NeurIPS 2022). [pdf] [code]
- Spherical Message Passing for 3D Molecular Graphs. Yi Liu*, Limei Wang*, Meng Liu, Yuchao Lin, Xuan Zhang, Bora Oztekin, and Shuiwang Ji. International Conference on Learning Representations, (ICLR 2022). [pdf] [code]