Lawrence Liu

UCLA ECE.

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I am a second year Masters student at the Electrical and Computer Engineering Department at UCLA. I am fortunate to be advised by Professor Lin F. Yang.

My research interests are in developing novel algorithms for reducing the computational cost of training, fine-tuning, and inferencing generative models. I am also interested in applications of ML to real-world problems, such as finance and healthcare.

I did my undergrad at UCLA as well, where I majored in Electrical Engineering. I worked with Professor Vwani Roychowdhury from the ECE department and Professor Hiroki Nariai from the UCLA Mattel Children’s Hospital on a joint project leveraging ML analyze EEG signals and to improve the treatment pathways for pediatric seizure resistant epilepsy patients.

Outside of research, I enjoy running (especially long distance running) and lifting. Follow me on Strava!

ARMOR was accepted to ICLR 2026 See you in Rio!

My CV is available here.

selected publications

  1. ARMOR: High-Performance Semi-Structured Pruning via Adaptive Matrix Factorization
    Lawrence Liu, Alexander Liu, Mengdi Wang, and 2 more authors
    In The Fourteenth International Conference on Learning Representations (ICLR), 2026
  2. PyHFO: lightweight deep learning-powered end-to-end high-frequency oscillations analysis application
    Yipeng Zhang, Lawrence Liu, Yuanyi Ding, and 8 more authors
    Journal of Neural Engineering, 2024
  3. NoWag: A Unified Framework for Shape Preserving Compression of Large Language Models
    Lawrence Liu, Inesh Chakrabarti, Yixiao Li, and 3 more authors
    In Conference on Language Modeling, 2025