Jerry Liu
- Program Year: 3
- Academic Institution: Stanford University
- Field of Study: Computational Math
- Academic Advisor: Chris Re
- Practicum(s):
Lawrence Berkeley National Laboratory (2023) - Degree(s):
B.S. Mathematics, and B.S. Computer Science, Duke University, 2022
Summary of Research
Modern machine learning, dominated by deep neural networks, has become a surprisingly empirical field -- the opacity of typical deep learning models makes interpreting their behavior difficult, and theory lags far behind practice when it comes to many modern innovations in neural network architecture design and training techniques.I am interested in bridging the gap between the empirical effectiveness of modern deep learning and the provability/interpretability of classical perspectives from math and statistics. Recently, I am working on developing methods for solving inverse problems using deep generative models, in domains ranging from computational fluid dynamics to computer vision.
Publications
Jerry Weihong Liu, Jessica Grogan, Owen M Dugan, Simran Arora, Atri Rudra, Christopher Re. Can Transformers Solve Least Squares to High Precision? 1st Workshop on In-Context Learning, ICML 2024.Jerry Weihong Liu, N. Benjamin Erichson, Kush Bhatia, Michael W. Mahoney, Christopher Re. Does In-Context Operator Learning Generalize to Domain-Shifted Settings? The Symbiosis of Deep Learning and Differential Equations III Workshop, NeurIPS 2023.
Jerry Liu, Jin Yao. Non-Diffusive Volume Advection with A High Order Interface Reconstruction Method. USNCCM, 2021.
Liu, J W, and Yao, J. Non-Diffusive Volume Advection with A High Order Interface Reconstruction Method. Lawrence Livermore National Laboratory, United States, 2021.
Jin Yao, Jerry Liu. Volume-of-Fluids Interface Reconstruction with Curvature and Corner Definition. WCCM-ECCOMAS, 2020.
Metaphor Detection Using Contextual Word Embeddings From Transformers, Second Workshop on Figurative Language Processing, NAACL, 2020. Jerry Liu, Nathan O' Hara, Alexander Rubin, Rachel Draelos, Cynthia Rudin.
Awards
Alex Vasilos Award, Duke University: 2022.NSF Graduate Research Fellowship: 2022 (declined).
CRA Outstanding Undergraduate Researcher, honorable mention: 2022.
Phi Beta Kappa (honor society): 2021.
Karl Menger Award, Duke University: 2019.
William Lowell Putnam Mathematical Competition (top 250 participants): 2018, 2019.