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Yunqi Shi

3 accepted papers

2026

Expertise Can Be Helpful for Reinforcement Learning-based Macro Placement

ICLR 2026poster

Chip placement determines the locations of electronic components on a chip layout, which directly impacts performance, power, and area (PPA) metrics, and thus is a critical step in electronic design automation (EDA). As modern chips scale to accommodate millions of components, manual placement by hu…

Cited by 0SourceScholar
2024

Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer

NeurIPS 2024poster

In modern chip design, placement aims at placing millions of circuit modules, which is an essential step that significantly influences power, performance, and area (PPA) metrics. Recently, reinforcement learning (RL) has emerged as a promising technique for improving placement quality, especially ma…