Thao Le

I am a PhD Candidate in Explainable AI (XAI) in the AI and Autonomy Lab, School of Computing and Information Systems, The University of Melbourne, under the supervision of Tim Miller, Liz Sonenberg and Ronal Singh.

Email  /  Google Scholar  /  Twitter  /  Github

Research Interests

  • Explainable AI
  • Decision making
  • Human-AI Interaction
  • AI planning
  • Intention recognition

Publications

  1. [AAAI DC 2023] Explaining the Uncertainty in AI-Assisted Decision Making
    Thao Le
    AAAI Doctoral Consortium.
    Washington DC, USA.
    [Paper]
  2. [AAAI 2023] Explaining Model Confidence Using Counterfactuals
    Thao Le, Tim Miller, Ronal Singh, Liz Sonenberg
    Association for the Advancement of Artificial Intelligence (AAAI). Main Track. Acceptance Rate: 1,721/8,777 (19.6%).
    Washington DC, USA.
    [Paper]
  3. [XAI-IJCAI 2022] Improving Model Understanding and Trust with Counterfactual Explanations of Model Confidence
    Thao Le, Tim Miller, Ronal Singh, Liz Sonenberg
    International Joint Conference on Artificial Intelligence (IJCAI-ECAI). Workshop on Explainable Artificial Intelligence.
    Vienna, Austria.
    [Paper]
  4. [JAIR 2021] Goal Recognition for Deceptive Human Agents through Planning and Gaze
    Thao Le, Ronal Singh, Tim Miller
    Journal of Artificial Intelligence Research.
    [Paper]
  5. [IES 2017] Automatic skin lesion analysis towards melanoma detection
    Thao Le, Quang Hong Nguyen
    Asia Pacific Symposium on Intelligent and Evolutionary Systems.
    [Paper]

Academic/Research Experience

  • Academic Tutor (Teaching Assistant) - AI Planning for Autonomy, COMP90054 (Graduate level) - S1/S2 2023
    • Topics covered: Search algorithms and heuristic functions, classical (AI) planning, Markov Decision Processes, reinforcement learning, game theory
  • Research Assistant - AI and Autonomy Lab, The University of Melbourne - 05/2022
    • Project: Cognitive Models Supporting Human-Machine Partnerships

Academic Service

  • Reviewer: HCOMP 2023

Selected Awards/Achievements

  • Google Conference Grant (2023)
  • CIS Nominee for Apple Scholars in AI/ML PhD Fellowships (2022/2023)
  • Melbourne Centre for Data Science (MCDS) Top Up Scholarship (2022) [Link]
  • Melbourne Research Scholarship: Full fee offset and stipend
  • Second Prize - Electronic Trading Competition - Jane Street Capital (2019)

Activities

  • Presenter at Australasian Joint Conference on Artificial Intelligence (AJCAI) Doctoral Consortium - Perth, Australia - 12/2022
  • Participant at FAccT, Innovative Methods for Critical Studies of Emerging Technologies Workshop - Australian National University, Canberra - 09/2022
  • Final round participant at Melbourne Facebook Hackathon, Australia - 05/2019

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