Hao-Hsiang Hsiao

11 papers A* 3A 2Journal 2Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Hybrid Reinforcement Learning Framework for Efficient Physical Design Parameter Tuning.
ACM Trans. Design Autom. Electr. Syst.
Hao-Hsiang Hsiao, Yi-Chen Lu, Pruek Vanna-Iampikul, Sung Kyu Lim
2026 — conf
C3PO: Commercial-Quality Global Placement via Coherent, Concurrent Timing, Routability, and Wirelength Optimization.
ASP-DAC
Yi-Chen Lu, Hao-Hsiang Hsiao, Rongjian Liang, Wen-Hao Liu, Haoxing Ren
2026 — conf
Differentiable Tier Assignment for Timing and Congestion-Aware Routing in 3D ICs.
ASP-DAC
Yuan-Hsiang Lu, Hao-Hsiang Hsiao, Yi-Chen Lu, Haoxing Ren, Sung Kyu Lim
2025 A conf
BUFFALO: PPA-Configurable, LLM-based Buffer Tree Generation via Group Relative Policy Optimization.
ICCAD
Hao-Hsiang Hsiao, Yi-Chen Lu, Sung Kyu Lim, Haoxing Ren
2025 A* conf
DCO-3D: Differentiable Congestion Optimization in 3D ICs.
DAC
Hao-Hsiang Hsiao, Yi-Chen Lu, Pruek Vanna-Iampikul, Anthony Agnesina, Rongjian Liang, Yuan-Hsiang Lu, Haoxing Ren, Sung Kyu Lim
2025 A* conf
InsightAlign: A Transferable Physical Design Recipe Recommender Based on Design Insights.
DAC
Hao-Hsiang Hsiao, Sudipto Kundu, Wei Zeng, Wei-Ting Chan, Deyuan Guo, Sung Kyu Lim
2025 A conf
Invited Paper: LLM-Enhanced GPU-Optimized Physical Design at Scale.
ICCAD
Yi-Chen Lu, Hao-Hsiang Hsiao, Haoxing Ren
2024 — conf
FastTuner: Transferable Physical Design Parameter Optimization using Fast Reinforcement Learning.
ISPD
Hao-Hsiang Hsiao, Yi-Chen Lu, Pruek Vanna-Iampikul, Sung Kyu Lim
2024 J jnl
GAN-Place: Advancing Open Source Placers to Commercial-quality Using Generative Adversarial Networks and Transfer Learning.
ACM Trans. Design Autom. Electr. Syst.
Yi-Chen Lu, Haoxing Ren, Hao-Hsiang Hsiao, Sung Kyu Lim
2024 A* conf
ML-based Physical Design Parameter Optimization for 3D ICs: From Parameter Selection to Optimization.
DAC
Hao-Hsiang Hsiao, Pruek Vanna-Iampikul, Yi-Chen Lu, Sung Kyu Lim
2023 — conf
DREAM-GAN: Advancing DREAMPlace towards Commercial-Quality using Generative Adversarial Learning.
ISPD
Yi-Chen Lu, Haoxing Ren, Hao-Hsiang Hsiao, Sung Kyu Lim