Yunqi Shi @ CUHK

shiyq_copy.png 

侍昀琦
Yunqi Shi

Zeroth-year of Ph.D.
Department of Computer Science and Engineering
Chinese University of Hong Kong


I am about to start my Ph.D. journey in CSE at CUHK in Fall, 2026, under the supervision of Prof. Bei Yu. I am also co-supervised by Prof. Yibo Lin from Peking University.


Biography

  • Aug 2026 - Now : Ph.D in Computer Science and Engineering, Department of CSE, Chinese University of Hong Kong.
  • Sep 2023 - June 2026 : M.Sc. in Computer Science, School of Artificial Intelligence, Nanjing University.
  • Sep 2019 - Jun 2023 : B.Eng. in Artificial Intelligence, School of Artificial Intelligence, Nanjing University.
  • Sep 2016 - Jun 2019 : Yancheng Middle School.

    Research Interest

    I am interested in AI4EDA, with a focus on Physical Design.

    First-Authored Publications

    • Yunqi Shi*, Chengrui Gao* (equal contribution), Wanqi Ren, Siyuan Xu, Ke Xue, Mingxuan Yuan, Chao Qian, and Zhi-Hua Zhou. Open3DBench: Open-Source Benchmark for 3D-IC Backend Implementation and PPA Evaluation. In: arXiV preprint, 2025. [Paper]
    • 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: DATE'25, Lyon, France, 2025. [Best Paper Award] [Paper]
    • 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: DAC'25, San Francisco, CA, 2025. [Paper]
    • Yunqi Shi, Ke Xue, Lei Song, and Chao Qian. Macro Placement by Wire-Mask-Guided Black-Box Optimization. In: NeurIPS'23, New Orleans, LA, 2023. [Paper]

    Co-Authored Publications

    • Chengrui Gao*, Yunqi Shi* (equal contribution), Ke Xue, Ruo-Tong Chen, Siyuan Xu, Mingxuan Yuan, Chao Qian, and Zhi-Hua Zhou Expertise Can Be Helpful for Reinforcement Learning-based Macro Placement. In: ICLR'26, Rio de Janeiro, Brazil, 2026. [Paper]
    • Peng Xie, Ke Xue, Yunqi Shi, Ruo-Tong Chen, Chengrui Gao, Siyuan Xu, Chenjian Ding, Mingxuan Yuan, and Chao Qian. FlowPlace: Flow Matching for Chip Placement. In: DAC'26, Long Beach, CA, 2026 (to appear).
    • Ruo-Tong Chen, Ke Xue, Chengrui Gao, Yunqi Shi, Tian Xu, Peng Xie, Siyuan Xu, Mingxuan Yuan, Chao Qian, and Zhi-Hua Zhou. How Can Reinforcement Learning Achieve Expert-level Placement? In: DAC'26, Long Beach, CA, 2026. [Paper]
    • Yuhao Ji, Yunqi Shi, Tianshu Hou, Yuxuan Zhao, Chunyuan Zhao, Peiyu Liao, Zizheng Guo, Chao Qian, Yibo Lin, and Bei Yu. Integrated Timing-driven Placement for Hybrid-Bonding-based Face-to-Face 3D ICs. In: DAC'26, Long Beach, CA, 2026 (to appear).
    • Chen Lu, Ke Xue, Ruo-Tong Chen, Yunqi Shi, Siyuan Xu, Mingxuan Yuan, Chao Qian, and Zhi-Hua Zhou. Dynamic Algorithm Configuration for Global Placement. In: DATE'26, Verona, Italy, 2026. [Paper]
    • Ruo-Tong Chen, Chengrui Gao, Siyuan Xu, Ke Xue, Yunqi Shi, Xi Lin, Mingxuan Yuan, Chao Qian, and Zhi-Hua Zhou. Timing-driven Detailed Placement via TimingMask-guided Path-level Optimization. In: DATE'26, Verona, Italy, 2026. [Paper]
    • Wanqi Ren, Chengrui Gao, Yunqi Shi, Mingzhou Fan, Siyuan Xu, Ke Xue, Chenjian Ding, Mingxuan Yuan, and Chao Qian. Reinforcement Learning for Hybrid Bonding Terminal Legalization in 3D ICs. In: DATE'26, Verona, Italy, 2026 (Extended Abstract). [Paper]
    • 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: NeurIPS'24, Vancouver, Canada, 2024. [Paper]
    • Ke Xue, Xi Lin, Yunqi Shi, Shixiong Kai, Siyuan Xu, and Chao Qian. Escaping Local Optima in Global Placement. In: DAC'24, San Francisco, CA, 2024 (Work-In-Progress poster). [Preprint]

    Awards and Experiences

  • 2025 : National Scholarship, 20000 CNY, Administration of Education;
  • 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, Nanjing University;
  • 2022, 2021, 2020 : Scholarship of 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, Nanjing University;

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