Scholar
Lawrence Liu
Google Scholar ID: Ven0INYAAAAJ
M,S EE 2026, UCLA
Citations & Impact
Citations
18
H-index
2
i10-index
1
Publications
5
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Publications: 1. PyHFO: Lightweight deep learning-powered end-to-end high-frequency oscillations analysis application, Journal of Neural Engineering, 2024; 2. NoWag: A Unified Framework for Shape Preserving Compression of Large Language Models, In Conference on Language Modeling, 2025.
Research Experience
- During undergraduate studies, worked on a joint project leveraging ML to analyze EEG signals and improve treatment pathways for pediatric seizure-resistant epilepsy patients.
Education
- Master's degree: Electrical and Computer Engineering Department at UCLA, advised by Professor Lin F. Yang; Bachelor's degree: UCLA, major in Electrical Engineering, worked with Professor Vwani Roychowdhury and Professor Hiroki Nariai.
Background
- Research interests: Developing novel algorithms for reducing the computational cost of training, fine-tuning, and inferencing generative models; Applications of ML to real-world problems, such as finance and healthcare.
Miscellany
- Applying for PhD programs for Fall 2026.
Co-authors