Yunlong Liu
I am an Associate Professor and Ph.D. Supervisor in the Department of Automation, School of Aerospace Engineering, Xiamen University. I was a Visiting Scholar in the Department of Computer Science at the University of California, Los Angeles (UCLA), and am recognized as a High-Level Talent of Fujian Province. My research focuses on artificial intelligence, deep reinforcement learning, and intelligent decision-making, with applications in embodied intelligence and healthcare.
My work has appeared as first- or corresponding-author papers at ICML, IJCAI, and AAMAS, and in journals including IEEE Robotics and Automation Letters, Neural Networks, International Journal of Approximate Reasoning, Information Sciences, and Knowledge-Based Systems. I served on the IJCAI Program Committee Board (2022–2024) and serve on program committees for AAAI, IJCAI, UAI, AAMAS, and ICDM. I review for major AI and robotics conferences and journals, and have been recognized as a Top Reviewer by ICML and UAI. I lead projects funded by the National Natural Science Foundation of China, provincial and ministerial programs, and industry partners.
I teach Information Theory, Probabilistic Graphical Models: Theory and Applications, and Computer Networks. My students have received awards in the Tencent Kaiwu AI National Open Competition, the AAMAS non-perfect-information card-game competition, and the National College Student AI Curling Challenge. Graduates have gone on to doctoral study or joined organizations including Alibaba DAMO Academy, DiDi, Huawei, TP-Link, Industrial Bank, and universities.
News
Task-Aware Exploration via a Predictive Bisimulation Metric
Published in the Proceedings of the 43rd International Conference on Machine Learning (ICML 2026), PMLR vol. 306.
BEV-OSP: Obstacle State Prediction in Bird’s-Eye View
Published in IEEE Robotics and Automation Letters, 11(7):7924–7931 (2026; CAS Q2).
DARE to Navigate: Spatiotemporal Dynamic Augmented LiDAR Encoder
Published in IEEE Robotics and Automation Letters, 11(2):1930–1937 (2026; CAS Q2).
Student team earns an Excellence Award in the Embodied Intelligence Track
At the 14th China Innovation and Entrepreneurship Competition, the team placed among the top 11 of more than 300 teams in the Embodied Intelligence Track.
Prospective Students
I welcome motivated master’s and Ph.D. students, as well as postdoctoral researchers, interested in reinforcement learning and its applications to embodied intelligence, video games, healthcare, and cybersecurity. My group offers systematic research training and opportunities to contribute to product-oriented projects with industry partners. To get in touch, email ylliu@xmu.edu.cn and attach your CV directly to the message so it can be viewed easily on mobile devices.
Explore research videos from the XMU-DMU Lab channel.