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researcher

Ruo-Tong Chen

4 papers hereh-index 322 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AR2
  • cs.LG2

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedReinforcement Learning Policy as Macro Regulator Rather than Macro Placer

1 citations · 1 across the 4 of their papers we have counts for

collaborators
Showing 2026Show all

2 papers · 1 filter

cs.AR2026

How Can Reinforcement Learning Achieve Expert-level Placement?

Ruo-Tong Chen, Ke Xue, Chengrui Gao +7

Chip placement is a critical step in physical design. While reinforcement learning (RL)-based methods have recently emerged, their training primarily focuses on wirelength optimiza…

cs.AR2026

FlowPlace: Flow Matching for Chip Placement

Peng Xie, Ke Xue, Yunqi Shi +6

Chip placement plays an important role in physical design. While generative models like diffusion models offer promising learning-based solutions, current methods have the followin…

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