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Hi, I am Peiyu. Currently I am working at Huawei HKRC Noah’s Ark Lab. Previously, I received my Ph.D. degree in Computer Science and Engineering from The Chinese University of Hong Kong (CUHK), under the supervision of Prof. Bei Yu. Prior to that, I received my M.Sc. degree in Information Technology from the Hong Kong University of Science and Technology (HKUST) in 2019, and my Bachelor degree in Applied Mathematics from Zhejiang University (ZJU) in 2017.

Publications

Journal Papers

  1. Hongduo Liu, Peiyu Liao, Mengchuan Zou, Bowen Pang, Xijun Li, Mingxuan Yuan, Tsung-Yi Ho, and Bei Yu. “Layout decomposition via boolean satisfiability”. In: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD) (2024). Accepted.
  2. Yuxuan Zhao*, Peiyu Liao*, Siting Liu, Jiaxi Jiang, Yibo Lin, and Bei Yu. “Analytical heterogeneous die-to-die 3D placement with macros”. In: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD) (2024). arXiv preprint: arXiv:2403.09070.
  3. Peiyu Liao*, Yuxuan Zhao*, Dawei Guo, Yibo Lin, and Bei Yu. “Analytical die-to-die 3-D placement with bistratal wirelength model and GPU acceleration”. In: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD) 43.6 (2023). arXiv preprint: arXiv:2310.07424, pp. 1624–1637.
  4. Peiyu Liao, Dawei Guo, Zizheng Guo, Siting Liu, Yibo Lin, and Bei Yu. “DREAMPlace 4.0: Timing-driven placement with momentum-based net weighting and Lagrangian-based refinement”. In: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD) 42.10 (2023), pp. 3374–3387.
  5. Siting Liu, Yuan Pu, Peiyu Liao, Hongzhong Wu, Rui Zhang, Zhitang Chen, Wenlong Lv, Yibo Lin, and Bei Yu. “FastGR: Global routing on CPU-GPU with heterogeneous task graph scheduler”. In: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD) 42.7 (2022), pp. 2317–2330.

Conference Papers

  1. Hongduo Liu, Peiyu Liao, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Tsung-Yi Ho, and Bei Yu. “Parallel Gröbner basis rewriting and memory optimization for efficient multiplier verification”. In: IEEE/ACM Proceedings Design, Automation and Test in Europe (DATE). Valencia, Spain, 2024, pp. 1–6.
  2. Yu Zhang, Yuan Pu, Fangzhou Liu, Peiyu Liao, Kai-Yuan Chao, Keren Zhu, Yibo Lin, and Bei Yu. “Multi-electrostatics based placement for non-integer multiple-height cells”. In: ACM International Symposium on Physical Design (ISPD). 2024, pp. 161–168.
  3. Haoyuan Wu*, Xinyun Zhang*, Peng Xu, Peiyu Liao, Xufeng Yao, and Bei Yu. “p-Laplacian adaptation for generative pre-trained vision-language models”. In: AAAI Conference on Artificial Intelligence (AAAI). Vol. 38. 6. Vancouver, Canada, 2024, pp. 6003–6011.
  4. Siting Liu, Yuan Pu, Peiyu Liao, Hongzhong Wu, Rui Zhang, Zhitang Chen, Wenlong Lv, Yibo Lin, and Bei Yu. “FastGR: Global routing on CPU-GPU with heterogeneous task graph scheduler (extended abstract)”. In: International Joint Conference on Artificial Intelligence (IJCAI). Sister Conferences Best Papers. Extended Abstract. Macau, China, 2023, pp. 6458–6462.
  5. Peiyu Liao, Hongduo Liu, Yibo Lin, Bei Yu, and Martin Wong. “On a Moreau envelope wirelength model for analytical global placement”. In: ACM/IEEE Design Automation Conference (DAC). San Francisco, CA, USA, 2023, pp. 1–6.
  6. Hongduo Liu, Peiyu Liao, Mengchuan Zou, Bowen Pang, Xijun Li, Mingxuan Yuan, Tsung-Yi Ho, and Bei Yu. “Layout decomposition via boolean satisfiability”. In: ACM/IEEE Design Automation Conference (DAC). San Francisco, CA, USA, 2023, pp. 1–6.
  7. Peiyu Liao, Siting Liu, Zhitang Chen, Wenlong Lv, Yibo Lin, and Bei Yu. “DREAMPlace 4.0: Timing-driven global placement with momentum-based net weighting”. In: IEEE/ACM Proceedings Design, Automation and Test in Europe (DATE). Antwerp, Belgium, 2022, pp. 939–944.
  8. Siting Liu, Peiyu Liao, Rui Zhang, Zhitang Chen, Wenlong Lv, Yibo Lin, and Bei Yu. “FastGR: global routing on CPU-GPU with heterogeneous task graph scheduler”. In: IEEE/ACM Proceedings Design, Automation and Test in Europe (DATE). Best Paper Award. Antwerp, Belgium, 2022, pp. 760–765.
  9. Zhuolun He, Peiyu Liao, Siting Liu, Yuzhe Ma, Yibo Lin, and Bei Yu. “Physical synthesis for advanced neural network processors (invited paper)”. In: IEEE/ACM Asia and South Pacific Design Automation Conference (ASPDAC). Invited Paper. Tokyo, Japan, 2021, pp. 833–840.
  10. Siting Liu, Qi Sun, Peiyu Liao, Yibo Lin, and Bei Yu. “Global placement with deep learning-enabled explicit routability optimization”. In: IEEE/ACM Proceedings Design, Automation and Test in Europe (DATE). Grenoble, France, 2021, pp. 1821–1824.
  11. Zhuolun He, Yuzhe Ma, Lu Zhang, Peiyu Liao, Ngai Wong, Bei Yu, and Martin D. F. Wong. “Learn to floorplan through acquisition of effective local search heuristics”. In: IEEE International Conference on Computer Design (ICCD). Hartford, CT, USA, 2020, pp. 324–331.
  12. Zhuolun He, Lu Zhang, Peiyu Liao, Yuzhe Ma, and Bei Yu. “Reinforcement learning driven physical synthesis : (invited paper)”. In: IEEE International Conference on Solid-State and Integrated Circuit Technology (ICSICT). Invited Paper. Kunming, China, 2020, pp. 1–4.