Ruo-Tong Chen

According to our database, Ruo-Tong Chen authored at least 6 papers between 2024 and 2026.

Collaborative distances:

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

2026

How Can Reinforcement Learning Achieve Expert-level Placement?

Ruo-Tong Chen, Ke Xue, Chengrui Gao, Yunqi Shi, Tian Xu, Peng Xie, Siyuan Xu, Mingxuan Yuan, Chao Qian, Zhi-Hua Zhou

CoRR, April, 2026

FlowPlace: Flow Matching for Chip Placement.

Peng Xie, Ke Xue, Yunqi Shi, Ruo-Tong Chen, Chengrui Gao, Siyuan Xu, Chenjian Ding, Mingxuan Yuan, Chao Qian

CoRR, April, 2026

Dynamic Algorithm Configuration for Global Placement.

Chen Lu, Ke Xue, Ruo-Tong Chen, Yunqi Shi, Siyuan Xu, Mingxuan Yuan, Chao Qian, Zhi-Hua Zhou

Proceedings of the Design, Automation & Test in Europe Conference, 2026

Timing-driven Detailed Placement via TimingMask-guided Path-level Optimization.

Ruo-Tong Chen, Chengrui Gao, Siyuan Xu, Ke Xue, Yunqi Shi, Xi Lin, Mingxuan Yuan, Chao Qian, Zhi-Hua Zhou

Proceedings of the Design, Automation & Test in Europe Conference, 2026

2025

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement.

Ke Xue, Ruo-Tong Chen, Rong-Xi Tan, Xi Lin, Yunqi Shi, Siyuan Xu, Mingxuan Yuan, Chao Qian

CoRR, October, 2025

2024

Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer.

Ke Xue, Ruo-Tong Chen, Xi Lin, Yunqi Shi, Shixiong Kai, Siyuan Xu, Chao Qian

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024