Lawrence Liu

UCLA ECE.

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I am a first 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.

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 resume is available here.

selected publications

  1. 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
  2. A Unified Framework for Shape Preserving Compression of Large Language Models
    Lawrence Liu, Inesh Chakrabarti, Yixiao Li, and 3 more authors
    In ICLR Sparsity in LLMs (SLLM) Workshop: Deep Dive into Mixture of Experts, Quantization, Hardware, and Inference, 2025