Hao-Hsiang Hsiao

According to our database, Hao-Hsiang Hsiao authored at least 11 papers between 2023 and 2026.

Collaborative distances:

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

2026

A Hybrid Reinforcement Learning Framework for Efficient Physical Design Parameter Tuning.

Hao-Hsiang Hsiao, Yi-Chen Lu, Pruek Vanna-Iampikul, Sung Kyu Lim

ACM Trans. Design Autom. Electr. Syst., May, 2026

Differentiable Tier Assignment for Timing and Congestion-Aware Routing in 3D ICs.

Yuan-Hsiang Lu, Hao-Hsiang Hsiao, Yi-Chen Lu, Haoxing Ren, Sung Kyu Lim

Proceedings of the 31st Asia and South Pacific Design Automation Conference, 2026

C3PO: Commercial-Quality Global Placement via Coherent, Concurrent Timing, Routability, and Wirelength Optimization.

Yi-Chen Lu, Hao-Hsiang Hsiao, Rongjian Liang, Wen-Hao Liu, Haoxing Ren

Proceedings of the 31st Asia and South Pacific Design Automation Conference, 2026

2025

Invited Paper: LLM-Enhanced GPU-Optimized Physical Design at Scale.

Yi-Chen Lu, Hao-Hsiang Hsiao, Haoxing Ren

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2025

BUFFALO: PPA-Configurable, LLM-based Buffer Tree Generation via Group Relative Policy Optimization.

Hao-Hsiang Hsiao, Yi-Chen Lu, Sung Kyu Lim, Haoxing Ren

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2025

DCO-3D: Differentiable Congestion Optimization in 3D ICs.

Hao-Hsiang Hsiao, Yi-Chen Lu, Pruek Vanna-Iampikul, Anthony Agnesina, Rongjian Liang, Yuan-Hsiang Lu, Haoxing Ren, Sung Kyu Lim

Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

InsightAlign: A Transferable Physical Design Recipe Recommender Based on Design Insights.

Hao-Hsiang Hsiao, Sudipto Kundu, Wei Zeng, Wei-Ting Chan, Deyuan Guo, Sung Kyu Lim

Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

2024

GAN-Place: Advancing Open Source Placers to Commercial-quality Using Generative Adversarial Networks and Transfer Learning.

Yi-Chen Lu, Haoxing Ren, Hao-Hsiang Hsiao, Sung Kyu Lim

ACM Trans. Design Autom. Electr. Syst., March, 2024

FastTuner: Transferable Physical Design Parameter Optimization using Fast Reinforcement Learning.

Hao-Hsiang Hsiao, Yi-Chen Lu, Pruek Vanna-Iampikul, Sung Kyu Lim

Proceedings of the 2024 International Symposium on Physical Design, 2024

ML-based Physical Design Parameter Optimization for 3D ICs: From Parameter Selection to Optimization.

Hao-Hsiang Hsiao, Pruek Vanna-Iampikul, Yi-Chen Lu, Sung Kyu Lim

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

DREAM-GAN: Advancing DREAMPlace towards Commercial-Quality using Generative Adversarial Learning.

Yi-Chen Lu, Haoxing Ren, Hao-Hsiang Hsiao, Sung Kyu Lim

Proceedings of the 2023 International Symposium on Physical Design, 2023