Yunqi Shi @ LAMDA-NJU AI

Modified: 2023/12/19 by admin - Uncategorized
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侍昀琦
Yunqi Shi

2nd year M.Sc. Student
LAMDA Group
School of Artificial Intelligence
National Key Laboratory for Novel Software Technology
Nanjing University
email: shiyq at lamda.nju.edu.cn

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Currently I am a 2nd year M.Sc. student of School of Artificial Intelligence in Nanjing University advised by Prof. Chao Qian and a member of LAMDA Group, led by Prof. Zhi-Hua Zhou.


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Biography

  • Sep 2023 - Now : M.Sc. candidate in Computer Science, School of Artificial Intelligence, Nanjing University.
  • Sep 2019 - Jun 2023 : B.Sc. in Computer Science, School of Artificial Intelligence, Nanjing University.
  • Sep 2016 - Jun 2019 : Yancheng Middle School.

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    Research Interest

    I am interested in AI4EDA, with a focus on Physical Design, particularly in Macro Placement [2] [3] [4] and Global Placement [1] [5] problems.

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    Publications

    • Yunqi Shi, Siyuan Xu, Shixiong Kai, Xi Lin, Ke Xue, Mingxuan Yuan, and Chao Qian. Timing-Driven Global Placement by Efficient Critical Path Extraction. In: Proceedings of Design, Automation & Test in Europe Conference & Exhibition (DATE'25) (CCF-B), Lyon, France, 2025, to appear. [Best Paper Award]
    • Yunqi Shi*, Xi Lin* (equal contribution), Siyuan Xu, Shixiong Kai, Ke Xue, Mingxuan Yuan, Chao Qian, and Zhi-Hua Zhou. ReMaP: Macro Placement by Recursively Prototyping and Periphery-Guided Relocating. In: Proceedings of the 61th ACM/IEEE Design Automation Conference (DAC'25) (CCF-A), San Francisco, CA, 2025, to appear.
    • Yunqi Shi, Ke Xue, Lei Song, and Chao Qian. Macro Placement by Wire-Mask-Guided Black-Box Optimization. In: Advances in Neural Information Processing Systems 36 (NeurIPS'23) (CCF-A), New Orleans, LA, 2023. [PDF] [Code]
    • Ke Xue, Ruo-Tong Chen, Xi Lin, Yunqi Shi, Shixiong Kai, Siyuan Xu, and Chao Qian. Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer. In: Advances in Neural Information Processing Systems 37 (NeurIPS'24) (CCF-A), Vancouver, Canada, 2024. [PDF] [Code]
    • Ke Xue, Xi Lin, Yunqi Shi, Shixiong Kai, Siyuan Xu, and Chao Qian. Escaping Local Optima in Global Placement. In: Proceedings of the 61th ACM/IEEE Design Automation Conference (DAC'24) (CCF-A), San Francisco, CA, 2024. (Work-in-Progress poster) [Preprint]

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    Awards and Experiences

  • 2024 : Xiaomi Extraordinary Scholarship, 20000 CNY, Nanjing University;
  • 2024 : 21st ACM SIGEVO Humies BRONZE Awards, (Yunqi Shi, Ke Xue, Lei Song, and Chao Qian);
  • 2023 : Outstanding Under-Graduate Thesis, School of Artificial Intelligence, Nanjing University;
  • 2022 : American Mathematical Contest in Modeling, Finalist, (Yunqi Shi, Yanze Lv, and Xinyuan Yang);
  • 2022, 2021, 2020 : Renmin Scholarship;
  • 2022, 2021, 2020 : Scholarship of School of Artificial Intelligence, School of Artificial Intelligence, Nanjing University;
  • 2021 : Excellent Volunteer, Nanjing University;
  • 2021 : Star of Merit, 8000 CNY, Department of Computer Science, Nanjing University;
  • 2021 : Excellent Student Cadre.



  • Contact:
    National Key Laboratory for Novel Software Technology, Nanjing University, Xianlin Campus Mailbox 603, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China
    (南京市栖霞区仙林大道163号,南京大学仙林校区603信箱,软件新技术国家重点实验室,210023)
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