Hao (Tony) Wang

Ph.D. Student@UCB

prof_pic.jpg

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 interested in the intersection of Security, SE, and LLM, with a current focus on secure code generation.

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-Adaptive Imitation Learning for UI Test Reuse is now on ArXiv!
Aug 21, 2024 I started as a Ph.D. student in UC Berkeley, temporarily advised by Koushik Sen!
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-Adaptive Imitation Learning for UI Test Reuse
    Wu, Mengzhou,  Wang, Hao, Ren, Jun, Cao, Yuan, Li, Yuetong, Jiang, Alex, Ran, Dezhi, Hu, Yitao, Yang, Wei, and Xie, Tao
    2024
  2. HA RTP
    Hierarchy-Aware Regression Test Prioritization
    Wang, Hao, Yi, Pu, Parladorio, Jeremias, Lam, Wing, Marinov, Darko, and Xie, Tao
    In ISSRE 2024
    PDF
  3. Guardian
    Guardian: A Runtime Framework for LLM-based UI Exploration
    Ran, Dezhi,  Wang, Hao, Song, Zihe, Wu, Mengzhou, Cao, Yuan, Zhang, Ying, Yang, Wei, and Xie, Tao
    In ISSTA 2024