Huao Li 李胡傲

Postdoc at Massachusetts Institute of Technology (MIT)

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Hi, I am a Postdoctoral Fellow for Engineering Excellence in the Laboratory for Information and Decision Systems (LIDS) at MIT. I work with Prof. Chuchu Fan and the REALM lab on human-centered AI for robotics.

I received my Ph.D. in Intelligent Systems and M.S. in Information Science from the University of Pittsburgh, where I worked with Prof. Michael Lewis and collaborated closely with Prof. Katia Sycara at Robotics Institute at Carnegie Mellon University (CMU). I have also worked as a Research Intern at the Honda Research Institute USA and Alibaba Group. Prior to coming to the US, I obtained my Bachelor’s degree in Applied Psychology at Zhejiang University, and worked with Prof. Zaifeng Gao.

My research focuses on facilitating collaboration between humans and artificial intelligence (AI) agents. I have worked on transparency, trust, adaptation, communication, and Theory of Mind reasoning in human-agent teams. I am also interested in applying interdisciplinary research methods to study machine behaviors in multi-agent settings, such as those of reinforcement learning (RL) and large language model (LLM) agents.

news

Sep 18, 2025 Our paper Modeling Latent Partner Strategies for Adaptive Zero-Shot Human-Agent Collaboration get accpeted at NeurIPS 2025! See you in San Diego.
Jul 21, 2025 I defenced my Ph.D. thesis A Computational Framework for Efficient Human-Agent Teamwork at University of Pittsburgh.
Apr 21, 2025 I recived the MIT Postdoctoral Fellowship Program for Engineering Excellence.

selected publications

  1. NeurIPS
    Adaptively Coordinating with Novel Partners via Learned Latent Strategies
    Benjamin Li, Shuyang Shi, Lucia Romero, Huao Li, Yaqi Xie, Woojun Kim, Stefanos Nikolaidis, Michael Lewis, Katia Sycara, and Simon Stepputtis
    Advances in Neural Information Processing Systems, 2025
  2. NeurIPS
    Language grounded multi-agent reinforcement learning with human-interpretable communication
    Huao Li, Hossein Nourkhiz Mahjoub, Behdad Chalaki, Vaishnav Tadiparthi, Kwonjoon Lee, Ehsan Moradi Pari, Charles Lewis, and Katia Sycara
    Advances in Neural Information Processing Systems, 2024
  3. EMNLP
    Theory of Mind for Multi-Agent Collaboration via Large Language Models
    In The 2023 Conference on Empirical Methods in Natural Language Processing, 2023
  4. SMC
    Personalized Decision Supports based on Theory of Mind Modeling and Explainable Reinforcement Learning
    Huao Li, Yao Fan, Keyang Zheng, Michael Lewis, and Katia Sycara
    In The 2023 IEEE Conference on Systems, Man, and Cybernetics, 2023
  5. IEEE T-CDS
    Interpretable learned emergent communication for human–agent teams
    Seth Karten, Mycal Tucker, Huao Li, Siva Kailas, Michael Lewis, and Katia Sycara
    IEEE Transactions on Cognitive and Developmental Systems, 2023
  6. RO-MAN
    Theory of mind modeling in search and rescue teams
    Huao Li, Ini Oguntola, Dana Hughes, Michael Lewis, and Katia Sycara
    In 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2022
  7. IEEE T-HMS
    Individualized mutual adaptation in human-agent teams
    Huao Li, Tianwei Ni, Siddharth Agrawal, Fan Jia, Suhas Raja, Yikang Gui, Dana Hughes, Michael Lewis, and Katia Sycara
    IEEE Transactions on Human-Machine Systems, 2021
  8. NeurIPS
    Emergent discrete communication in semantic spaces
    Mycal Tucker, Huao Li, Siddharth Agrawal, Dana Hughes, Katia Sycara, Michael Lewis, and Julie A Shah
    Advances in neural information processing systems, 2021
  9. AIES
    Perceptions of domestic robots’ normative behavior across cultures
    Huao Li, Stephanie Milani, Vigneshram Krishnamoorthy, Michael Lewis, and Katia Sycara
    In Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019
  10. AIES
    Transparency and explanation in deep reinforcement learning neural networks
    Rahul Iyer, Yuezhang Li, Huao Li, Michael Lewis, Ramitha Sundar, and Katia Sycara
    In Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018