Mingyue Wang

Mingyue Wang

Mingyue Wang currently works as an algorithm engineer at Baidu.

I am eager to contribute to research in areas such as, but not limited to:

  • The Application of LLM
  • AI for Electronic Design Automation (EDA)

Open to discussions or collaborations，please feel free to email me if interested.

📝 Selected Publications

See the full list at Google Scholar.

KDD 2026
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[Large Language Model-Powered Query-Driven Event Timeline Summarization in Industrial Search]

Mingyue Wang, Xingyu Xie, Hang Yang, Li Gao, Lixin Su, Ge Chen, Dawei Yin, Daiting Shi

Paper, Poster

KDD’26: Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2

ICCAD 2024
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[ARO: Autoregressive Operator Learning for Transferable and Multi-fidelity 3D-IC Thermal Analysis with Active Learning]

Mingyue Wang, Yuanqing Cheng, Weiheng Zeng, Zhenjie Lu, Vasilis F.Pavlidis, Wei W.Xing

Paper, Code

ICCAD’24: Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design.

DAC 2024
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[MAUnet: Multiscale Attention U-Net for Effective IR Drop Prediction] Mingyue Wang, Yuanqing Cheng, Yage Lin, Kelin Peng, Shunchuan Yang, Zhou Jin, Wei W.Xing

Paper, Code, Poster

DAC’24: Proceedings of the 61st ACM/IEEE Design Automation Conference

💎 Employment

  • 2025.06 - now: Baidu, work as an NLP Engineer, Beijing, China.
Baidu

📖 Educations

  • 2022.09 - 2025.06, School of Integrated Circuit Science and Engineering, BeiHang University (BUAA).
  • 2018.09 - 2022.06, School of Computer and Cyberspace Security, Communication University of China (CUC).

🎖 Honors and Awards

  • 2025 Outstanding Master’s Thesis of BeiHang University
  • 2024 National Scholarship.
  • 2024 Excellent Graduate Student.
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