Lawrence Liu

According to our database, Lawrence Liu authored at least 7 papers between 2005 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

LACONIC: Length-Aware Constrained Reinforcement Learning for LLM.

Chang Liu, Yiran Zhao, Lawrence Liu, Yaoqi Ye, Csaba Szepesvári, Lin F. Yang

CoRR, February, 2026

Privacy-Preserving Cohort Analytics for Personalized Health Platforms: A Differentially Private Framework with Stochastic Risk Modeling.

Richik Chakraborty, Lawrence Liu, Syed Hasnain

CoRR, January, 2026

FlexAct: Why Learn when you can Pick?

Ramnath Kumar, Kyle Ritscher, Junmin Judy, Lawrence Liu, Cho-Jui Hsieh

CoRR, January, 2026

2025

ARMOR: High-Performance Semi-Structured Pruning via Adaptive Matrix Factorization.

Lawrence Liu, Alexander Liu, Mengdi Wang, Tuo Zhao, Lin F. Yang

CoRR, October, 2025

NoWag: A Unified Framework for Shape Preserving Compression of Large Language Models.

Lawrence Liu, Inesh Chakrabarti, Yixiao Li, Mengdi Wang, Tuo Zhao, Lin F. Yang

CoRR, April, 2025

2022

Using natural language processing-assisted models to confirm MGUS diagnoses in Veterans' electronic health records.

Mei Wang, Yao-Chi Yu, Lawrence Liu, Martin Schoen, Theodore Thomas, Graham A. Colditz, Su-Hsin Chang

Proceedings of the AMIA 2022, 2022

2005

An Environment for Collaborative Iteration Planning.

Lawrence Liu, Frank Maurer, Hakan Erdogmus

Proceedings of the AGILE 2005 Conference (AGILE 2005), 24-29 July 2005, Denver, CO, USA, 2005