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中国科学院香港创新研究院-人工智能与机器人创新中心成立于2019年,是国家在港设立的首个人工智能领域的国务院直属科研机构。由中国科学院与香港政府共同出资,中科院自动化所筹建。该中心同时入选香港InnoHK计划,为14家人工智能领域的InnoHK研发中心之一。中心围绕新一代人工智能基础理论、面向医疗健康的智能技术与设备、人工智能开放平台技术等方面开展国际领先的研究;聚焦医疗健康技术、金融科技、AI艺术生成三大领域的应用。中心网页:https://www.cair-cas.org.hk
本课题组现有博士生博士后各一名,访问的学生三名,远程实习的学生五名。
具体研究方向包括
1. 算法博弈论,
2. 用优化算法(凸优化或者近似算法)来求解博弈中的均衡
3. 用ML的方法来求解博弈中的均衡
4. RL特别是MARL
5. 从博弈的角度来研究ML中的一些问题
6. Adversarial(robust)ML
7. 基于强化学习(RL)的手术机器人的智能控制
欢迎对以上任何研究方向方向有研究经验或者虽然没有以上问题的研究经验但感兴趣且具有优化,运筹学,数学,强化学习等背景的同学来申请做博士后。 感兴趣的同学请投简历到E-mail: youzhi dot zhang dot lgc@gmail dot com
张有枝 Youzhi Zhang
Dr. Youzhi Zhang is an assistant professor at the Centre for Artificial Intelligence and Robotics (CAIR), Hong Kong Institute of Science & Innovation, Chinese Academy of Sciences. Before joining CAIR, he was a postdoctoral researcher at the Northwestern University, USA, working with Professor V.S. Subrahmanian. From August 2020 to August 2021, he was a postdoctoral researcher at the Dartmouth College, USA, working with Professor V.S. Subrahmanian. He received the Ph.D degree in Computer Science from the Nanyang Technological University, Singapore, where he was advised by Professor Bo An. Prior to that, he received the Bachelor and Master degrees from the Sun Yat-sen University, China.
His research interests include artificial intelligence, multi-agent systems, computational game theory, multi-agent reinforcement learning, and optimization. He has published over 20 referred conference/journal papers, including top conference papers at AAMAS, IJCAI, AAAI, NeurIPS, ICLR, and ICML. For contributions to algorithms for equilibrium computation in multiplayer games and their applications, he won the Ph.D Best Thesis Award from the School of Computer Science and Engineering, Nanyang Technological University, in 2021. He won the Best Paper Award at the IEEE DASC 2022. For outstanding contributions to top AI conferences, he won the ICML 2022 Outstanding Reviewer Award and the IJCAI 2023 Distinguished Program Committee Member Award. For more information, please visit: https://youzhi333.github.io/index.html |