Yunlong Liu, associate professor and doctoral supervisor of the Department of Automation, Xiamen University, visiting scholar of the Department of Computer Science of UCLA, and high-level talent (Class C) in Fujian Province. His main research interests include artificial intelligence, (deep) reinforcement learning, intelligent decision-making, and the application of machine learning in embodied intelligence and medical health, etc., and related research results have been published in IJCAI, AAMAS, ICML workshop, Neural Networks, International Journal of Approximate Reasoning, and Information as the first author/corresponding author Served as a member of the IJCAI Program Committee Board (2022-2024), AAAI2019-2024 (CCF Class A), IJCAI 2017, 2021 (CCF Class A), AAMAS2020 (CCF B), Member of the Program Committee (PC Member) of UAI 2021-2024 (CCF B) and other top AI conferences, serving as IEEE Transactions on Cybernetics, IEEE TNNLS, ACM Transactions on Intelligent Systems and Technology, Neural Network, and IEEE Transactions on Systems, Man and Cybernetics, Information Sciences, NIPS2016, IROS2020, NeurIPS2024, 2025, ICLR2024, ICML2025, Applied Intelligence, IEEE Robotics and Automation Letters, Control and Decision, Journal reviewer. UAI 2022 (CCF B) Top Reviewer. He has undertaken a number of national natural science general funds, provincial and ministerial fund projects and enterprise cooperative development projects. He is a communication evaluation expert of the National Natural Science Foundation of China, an expert in the evaluation of master's and doctoral theses in the Degree Center of the Ministry of Education, a project evaluation expert of Xiamen Municipal Bureau of Commerce, Xiamen Software Association, Xiamen Jinyuan Group and other enterprises and institutions, and a member of the Adaptive Dynamic Programming and Reinforcement Learning Professional Committee of the Chinese Association of Automation. Instructed students to win fourth and second place in the final of the 2023 Tencent Enlightenment Artificial Intelligence National Open Advanced Track，Instructed students to win the first prize in the 2023 National College Curling Artificial Intelligence Challenge. He teaches courses such as "Information Theory", "Theory and Application of Probability Graph Model", "Computer Network", etc.