Zirui's Homepage

About me

I’m Zirui “Ray” Liu, an incoming assistant professor from the Department of Computer Science at UMN. Previously I graduated from Computer Science at Rice University, co-advised by Dr. Xia “Ben” Hu and Prof. Vladimir Braverman.

My core research interests lie in large-scale machine learning and machine learning system. I co-design algorithm and system, aiming to scale-up and/or accerlate machine learning models. Some examples include LLM KV Cache quantization, randomized matrix mulplication, and GNN quantization. Besides MLsys, I am also interested in other core problems/applications in LLMs like RAG, long context ability, and LLM safety.

Feel free to reach out if you would like to collaborate on MLSys or on-device ML research.

📧📧 Recruiting 2025 Spring/Fall Ph.D. students and interns: I am looking for self-motivated students with strong background in HPC, NLP, and ML. Feel free to drop me a line to ziruiliu dot recruit at gmail dot com together with resume and transcripts if you are interested.

News

• 🔥🔥 Our KIVI largely inspires the KV Cache quantization system in Huggingface. Code is available here; And our Self-Extend is highlighted during Google I/O session. Code is available here.

• Our KIVI, Self-Extend, and Compress-then-prompt are accepted by ICML 2024.

• Our Memory-Efficient LLM fine-tuning work is covered by Rice CS New.

• Three paper accepted to Neurips 2023.

• Two paper accepted to TMLR.

• Twos papers accepted to ICML 2023.

• One paper accepted to MLSys 2023.

• Two papers accepted to Neurips 2022, DreamShard and GNN Benchmark (Benchmark track).

Publications

Please refer to publications or Google Scholar.