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Ruo-Tong Chen
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[c3]Ruo-Tong Chen, Chengrui Gao, Siyuan Xu, Ke Xue, Yunqi Shi, Xi Lin, Mingxuan Yuan, Chao Qian, Zhi-Hua Zhou:
Timing-driven Detailed Placement via TimingMask-guided Path-level Optimization. DATE 2026: 1-7
[c2]Chen Lu, Ke Xue, Ruo-Tong Chen, Yunqi Shi, Siyuan Xu, Mingxuan Yuan, Chao Qian, Zhi-Hua Zhou:
Dynamic Algorithm Configuration for Global Placement. DATE 2026: 1-7
[i4]Peng Xie, Ke Xue, Yunqi Shi, Ruo-Tong Chen, Chengrui Gao, Siyuan Xu, Chenjian Ding, Mingxuan Yuan, Chao Qian:
FlowPlace: Flow Matching for Chip Placement. CoRR abs/2604.23658 (2026)
[i3]Ruo-Tong Chen, Ke Xue, Chengrui Gao, Yunqi Shi, Tian Xu, Peng Xie, Siyuan Xu, Mingxuan Yuan, Chao Qian, Zhi-Hua Zhou:
How Can Reinforcement Learning Achieve Expert-level Placement? CoRR abs/2604.25191 (2026)- 2025
[i2]Ke Xue, Ruo-Tong Chen, Rong-Xi Tan, Xi Lin, Yunqi Shi, Siyuan Xu, Mingxuan Yuan, Chao Qian:
BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement. CoRR abs/2510.23472 (2025)- 2024
[c1]Ke Xue, Ruo-Tong Chen, Xi Lin, Yunqi Shi, Shixiong Kai, Siyuan Xu, Chao Qian:
Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer. NeurIPS 2024
[i1]Ke Xue, Ruo-Tong Chen, Xi Lin, Yunqi Shi, Shixiong Kai, Siyuan Xu, Chao Qian:
Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer. CoRR abs/2412.07167 (2024)
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last updated on 2026-06-20 01:34 CEST by the dblp team
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