Talks

Invited Talks

  • The Evolving and Challenge of Reinforcement Learning in the Era of Agent

    I was invited to give a talk at CSIG Youth Scientist Conference 2026 (Kunming, China).

  • The Evolving and Challenge of Reinforcement Learning in the Era of Agent

    I was invited to give a talk at CCDE 2026 (Suzhou, China).

  • Recent Advance in Multi-agent Reinforcement Learning and AI Agent

    I was invited to give a talk at CSML 2025 (Beijing, China).

  • Recent Advance in Multi-agent Reinforcement Learning and AI Agent

    I was invited to give a talk at CMAS 2025 (Xi'an, China).

  • A Self-Evolving Framework for Multi-Agent Medical Consultation Based on Large Language Models

    I was invited to give a talk at CHIP 2024 (Fuzhou, China).

  • A Self-Evolving Framework for Multi-Agent Medical Consultation Based on Large Language Models

    I was invited to give a talk at CNCC 2024 (Hengdian, China).

  • Reinforcement Learning in the Era of Large Language Models

    I was invited to give a talk at CNCC 2024 (Hengdian, China).

  • Interpretable Reinforcement Learning through Inductive Logic Programming

    I was invited to give a talk at InterPol 2024 at RLC 2024 (Amherst, USA).

  • Recent Progress in Transfer Reinforcement Learning

    I was invited to give a talk at the Young Scholar 2022 at Tongji University (Online).

  • Cross-domain Adaptive Transfer Reinforcement Learning

    I was invited to give a talk at the CCFAI Distinguished Dissertation Forum 2023 (Online).

  • Transfer Reinforcement Learning: from single-agent to multiagent domains

    I was invited to give a talk in the lab of Mykola at Eindhoven University of Technology (Eindhoven, Netherlands).

  • Efficient Deep Reinforcement Learning via Adaptive Policy Transfer

    I was invited to give a talk at CCFAI 2021 in Yantai, China.

  • Transfer Learning for Efficient Deep Multiagent Reinforcement Learning

    I was invited to give a talk at IJCAI Young Elite Symposium 2021 in Shanghai.

  • Transfer Reinforcement Learning: from single-agent to multiagent domains

    I was invited to give a talk in AI TIME PhD IJCAI 2021 online.

Conference Talks

  • A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning at AAAI 2024.

    Vancouver, Canada.

  • Spotlight talk (Cross-domain Adaptive Transfer Reinforcement Learning) at UAI 2022.

    Eindhoven, Netherlands.

  • Video talk (An efficient transfer learning framework for multiagent reinforcement learning) at NeurIPS 2021.

    Online.

  • Oral presentation (Efficient Deep Reinforcement Learning via Adaptive Policy Transfer ) at IJCAI 2020.

    Online.

  • Oral presentation (Action semantics network: Considering the effects of actions in multiagent systems) at ICLR 2020.

    Online.

  • Oral presentation (From few to more: Large-scale dynamic multiagent curriculum learning) at AAAI 2020.

    Online.

  • Oral presentation (Towards efficient detection and optimal response against sophisticated opponents) at IJCAI 2019.

    Macau, China.