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!

I am applying for PhD programs for Fall 2026 If you are a Professor or a PhD student and you are interested in my research, please feel free to reach out to me at [lawrencerliu@ucla.edu].

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