I am a Ph.D. candidate in computer science department at the University of Hong Kong (HKU), also affiliated with mmlab@HKU, fortunately advised by Prof. Ping Luo. Previously, I received my M.Eng. degree in the software school of Tsinghua University (THU) and B.Eng. degree in the microelectronics department of Fudan University (FDU).

My research interests include AI for Electronic Design Automation (AI4EDA), AI for security and other possible applications.

I am honored to have the opportunity to join the UTDA lab of The University of Texas at Austin (UTAustin), advised by Prof. David Z. Pan from Feb., 2024.


For China (mainland) visitors, you can view a Mandarin version video on bilibili.


  • ChiPFormer: Transferable Chip Placement via Offline Decision Transformer (ICML 2023, CCF-A)
  • MaskPlace: Fast Chip Placement via Reinforced Visual Representation Learning (NeurIPS 2022, CCF-A, spotlight presentation (Top 5.1%) )
  • OpenSMax: Unknown Domain Generation Algorithm Detection (ECAI 2020, CCF-B)
    • [paper][code]
    • Yao Lai, Guolou Ping, Yuexin Wu, Chenhui Lu and Xiaojun Ye


  • Hong Kong PhD Fellowship (2021)
  • Outstanding Graduate of Software School, Tsinghua University (2020)
  • Outstanding Bachelor Thesis Award (2017)
  • Outstanding Graduate of Shanghai City (2017)
  • National Scholarship (2015)