Scaling Laws for Mixed quantization in Large Language Models. - Zeyu Cao; Cheng Zhang; Pedro Gimenes; Jianqiao Lu; Jianyi Cheng; Yiren Zhao (CoRR, 2024)

AMPLE: Event-Driven Accelerator for Mixed-Precision Inference of Graph Neural Networks. - Pedro Gimenes; Aaron Zhao; George A. Constantinides (EuroMLSys, 2025)

LLM4DV: Using Large Language Models for Hardware Test Stimuli Generation. - Zixi Zhang; Balint Szekely; Pedro Gimenes; Greg Chadwick; Hugo McNally; Jianyi Cheng; Robert D. Mullins; Yiren Zhao (FCCM, 2025)

AMPLE: Event-Driven Accelerator for Mixed-Precision Inference of Graph Neural Networks. - Pedro Gimenes; Yiren Zhao; George A. Constantinides (CoRR, 2025)

ARIES: Autonomous Reasoning with LLMs on Interactive Thought Graph Environments. - Pedro Gimenes; Zeyu Cao; Jeffrey Wong; Yiren Zhao (CoRR, 2025)

A3 : an Analytical Low-Rank Approximation Framework for Attention. - Jeffrey T. H. Wong; Cheng Zhang; Xinye Cao; Pedro Gimenes; George A. Constantinides; Wayne Luk; Yiren Zhao (CoRR, 2025)