Scholar
Jerry Yao-Chieh Hu
Google Scholar ID: XOKdSAsAAAAJ
Northwestern University
Citations & Impact
Citations
675
H-index
15
i10-index
16
Publications
20
Co-authors
2
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Research includes: Connecting attention and modern Hopfield networks, developing plug-in associative memory modules for retrieval and editing, studying in-context learning via internal algorithm execution, and characterizing the universality of minimalist Transformers and prompt-based algorithm emulation.
Research Experience
- Studies modern foundation models through four pillars: Learning, Storing, Computing, and Universality. Pursues research through neuroscience, statistics, information, and computation.
Education
- PhD candidate in Computer Science at Northwestern University, advised by Han Liu; B.S. in Physics from National Taiwan University, advised by Pisin Chen.
Background
- Research interests: Theoretical foundations and principled methodologies for large foundation models (e.g., Large Language Models and Generative AI). Long-term goal is to leverage machine learning to tackle important scientific and societal challenges.
Miscellany
- Engages in interdisciplinary research collaborations, including Particle Physics at Fermilab, Drug Design at Abbvie, Finance at Gamma Paradigm Capital, and NdLinear & NdLinear-LoRA at Ensemble AI. Offers 2 hours weekly for individual support office hours, welcoming students from underrepresented groups to schedule a chat.
