Hao (Tony) Wang

Ph.D. Student@UCB

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I am a first-year Ph.D. student in computer science at University of California, Berkeley, jointly advised by Koushik Sen and Dawn Song. I am a member of the Sky Lab. I am interested in the intersection of AI/PL/Security, especially secure and reliable code generation and transpilation.

During my undergraduate, I worked on software testing with Darko Marinov, Tao Xie, and Tianyin Xu. I also worked on quantum computing with Tongyang Li with a focus on optimization algorithms.

You can find my CV here: Tony’s Curriculum Vitae

news

Sep 20, 2024 Our paper Skill-Adpative Imitation Learning for UI Test Reuse is now on ArXiv!
Aug 21, 2024 I started as a Ph.D. student in UC Berkeley, co-advised by Koushik Sen and Dawn Song!
Sep 2, 2023 I am selected as a young researcher at HLF 2023! Looking forward to meeting the laureates and peer researchers :laughing: :satisfied:
Jun 28, 2023 During this summer I will be visiting UIUC and working on software testing! :smiley:

selected publications

  1. Sail
    Skill-Adpative Imitation Learning for UI Test Reuse
    Wu, Mengzhou,  Wang, Hao, Ren, Jun, Cao, Yuan, Li, Yuetong, Jiang, Alex, Ran, DezhiHu, YitaoYang, Wei, and Xie, Tao
    2024
  2. HA RTP
    Hierarchy-Aware Regression Test Prioritization
    Wang, HaoYi, Pu, Parladorio, Jeremias, Lam, WingMarinov, Darko, and Xie, Tao
    In ISSRE 2024
  3. Guardian
    Guardian: A Runtime Framework for LLM-based UI Exploration
    Ran, DezhiWang, Hao, Song, Zihe, Wu, Mengzhou, Cao, Yuan, Zhang, Ying, Yang, Wei, and Xie, Tao
    In ISSTA 2024