Yunlong Liu
Xiamen University · School of Aerospace Engineering
Associate Professor · Ph.D. Supervisor · Department of Automation
My research develops learning and decision-making methods for intelligent agents, with applications in embodied intelligence, autonomous systems, healthcare, and complex dynamic environments.
About
Yunlong Liu is an Associate Professor and Ph.D. Supervisor in the Department of Automation, School of Aerospace Engineering, Xiamen University. He was a Visiting Scholar in the Department of Computer Science at the University of California, Los Angeles (UCLA), and is recognized as a Fujian High-Level Talent.
His research has appeared in leading conferences and journals, including ICML, IJCAI, AAMAS, IEEE Robotics and Automation Letters, Neural Networks, International Journal of Approximate Reasoning, Information Sciences, and Knowledge-Based Systems. See the publication list for full citations and current status.
Research Interests
Current work explores reinforcement learning theory and methods—including representation learning, reward design, and imitation learning—and their use in navigation, obstacle avoidance, and decision-making under complex or extreme conditions.
Academic Service
Program Committees
- IJCAI Program Committee Board member, 2022–2024
- AAAI: 2019–2025
- IJCAI: 2017 and 2021–2024
- UAI: 2021–2025
- AAMAS: 2020; ICDM: 2024
Reviewer
Conferences: NeurIPS (NIPS) 2016, 2024–2025; IROS 2020; ICRA; ICML 2025; ICLR 2025.
Journals: IEEE Transactions on Cybernetics; IEEE Transactions on Neural Networks and Learning Systems; IEEE Transactions on Systems, Man, and Cybernetics: Systems; ACM Transactions on Intelligent Systems and Technology; Neural Networks; Information Sciences; Applied Intelligence; IEEE Robotics and Automation Letters; and other journals.
He is a Top Reviewer for leading AI conferences, including ICML and UAI; a communications reviewer for the National Natural Science Foundation of China; and a thesis reviewer for the Ministry of Education's Academic Degrees and Graduate Education Development Center. He also reviews projects for public and industry organizations in Xiamen and serves on the Chinese Association of Automation's professional committee on Adaptive Dynamic Programming and Reinforcement Learning, as well as the CCF-AI Multi-Agent Systems Group.
Selected Awards and Student Achievements
- 2025 China Innovation and Entrepreneurship Competition, Embodied Intelligence Track: Excellence Award in the Startup Group, placing in the top 11 among more than 300 teams.
- 2024 AAMAS non-perfect-information card-game competition: Runner-up; students also placed fourth in 2023.
- 2024 Tencent Kaiwu AI National Open Competition, Intelligent Traffic Signal Control Final: 13th place.
- 2023 Tencent Kaiwu AI National Open Competition, Game Algorithm Advanced Track: Fourth place in the final.
- 2023 National College Student AI Curling Challenge: First Prize.
Teaching
Courses taught include Information Theory, Probabilistic Graphical Models: Theory and Applications, and Computer Networks.
Students and Alumni
Graduates have continued to doctoral study or joined organizations including Alibaba DAMO Academy, DiDi, Huawei, TP-Link, Industrial Bank, and universities.
View student cohorts and alumni destinations →Prospective graduate students and postdoctoral researchers
Join the Group
We welcome motivated master's and Ph.D. students, as well as postdoctoral researchers, interested in reinforcement learning and its applications in embodied intelligence, video games, healthcare, and cybersecurity. Group members receive systematic research training and can contribute to product-oriented projects with industry partners.
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