Keynote Speech Ⅰ
Prof. Lei Guo
Academician of Chinese Academy of Sciences
IEEE Fellow and IFAC Fellow
National Center for Mathematics and Interdisciplinary Sciences, CAS, China
个人简介：郭雷，1982年本科毕业于山东大学数学系，1987年在中科院系统科学所获得博士学位, 现任中科院数学与系统科学研究院研究员，中科院国家数学与交叉科学中心主任。主要从事系统与控制科学研究，特别是自适应与不确定性动态系统的学习、滤波、控制与博弈等。目前研究兴趣包括：机器学习与系统辨识，人工智能与智能控制，自适应系统理论，非线性不确定系统控制，博弈控制系统，人机融合系统，复杂性科学，以及在工程、社会与生命系统中相关问题交叉与应用研究。
报告题目：大回归模型的自适应学习理论及应用
报告摘要：报告将讨论大回归模型的自适应学习问题。此处所指的大回归模型，是指具有大量或无限未知参数的回归模型。这类模型不仅可以处理非参数化系统问题，而且可以处理传统方法难以处理的参数化模型问题。报告将提出一种两阶段投影递归学习算法，并在输入数据满足较弱的激励条件下，证明该算法的全局收敛性与收敛速率。此外，在无需数据的任何激励条件下, 通过建立自适应预测的累积遗憾的渐近上界，给出输出预测精度的理论保障。值得指出，这项工作源于司法量刑问题的实际研究需求，所给出的理论与算法可以应用于包括量刑问题在内的许多问题研究。
Keynote Speech Ⅱ
Prof. Yaochu Jin
欧洲科学院院士、IEEE Fellow
Westlake University, China
Brief Introduction to Prof. Yaochu Jin: Yaochu Jin received the BSc, MSc and PhD degrees from the Electrical Engineering Department, Zhejiang University, Hangzhou, China in 1988, 1991 and 1996, respectively. He received the Dr.-Ing. from the Institute of Neuroinformatics, Ruhr University Bochum, Germany in 2001.
He is presently Chair Professor of AI, Director of the Trustworthy and General AI Laboratory, School of Engineering, Westlake University, Hangzhou, China. Prior to that, he was “Alexander von Humboldt Professor for Artificial Intelligence” endowed by the German Federal Ministry of Education and Research, with the Faculty of Technology, Bielefeld University, Germany from 2021 to 2023, and Surrey Distinguished Chair, Professor in Computational Intelligence, Department of Computer Science, University of Surrey, Guildford, U.K. from 2010 to 2021. He was also “Finland Distinguished Professor” with University of Jyväskylä, Finland, and "Changjiang Distinguished Visiting Professor" with the Northeastern University, China from 2015 to 2017. His main research interests include trustworthy AI for industry, embodied AI, and brain-like intelligence.
Prof. Jin is presently the President of the IEEE Computational Intelligence Society and the Editor-in-Chief of Complex & Intelligent Systems. He is the recipient of the 2025 IEEE Frank Rosenblatt Award. He has been named "Highly Cited Researcher" by Clarivate since 2019. He is a Member of Academia Europaea and Fellow of IEEE.
Speech title: Data-driven Optimization of Complex Systems Assisted by Small and Large Models
Abstract: This talk starts with a brief introduction to data-driven optimization of complex systems, including the motivation, main challenges and existing approaches. Then, it presents a few recent advances in this research field, such as large-scale optimization, privacy-preserving optimization, graph neural network-based end-to-end combinatorial optimization, diffusion model-based optimization, and LLM-assisted optimization. Finally, remaining challenges and open questions are discussed.
Keynote Speech Ⅲ
Prof. Hideaki Ishii
IEEE Fellow and IFAC Fellow
The University of Tokyo, Japan
Brief Introduction to Prof. Hideaki Ishii: Hideaki Ishii received the M.Eng. degree from Kyoto University in 1998, and the Ph.D. degree from the University of Toronto in 2002. He was a Postdoctoral Research Associate at the University of Illinois at Urbana-Champaign in 2001-2004, and a Research Associate at The University of Tokyo in 2004-2007. He was an Associate Professor and then a Professor at the Tokyo Institute of Technology in 2007-2024. Currently, he is a Professor at the Department of Information Physics and Computing, The University of Tokyo. He was a Humboldt Research Fellow at the University of Stuttgart in 2014--2015. His research interests include networked control systems, multiagent systems, distributed algorithms, and cyber-security of control systems.
Dr. Ishii has served as an Associate Editor for several journals including Automatica and the IEEE Transactions on Automatic Control. He was a Vice President for the IEEE Control Systems Society (CSS) in 2022-2023, the Chair of the IFAC Coordinating Committee on Systems and Signals in 2017-2023, and the IFAC Technical Committee on Networked Systems for 2011-2017. He served as the IPC Chair for the IFAC World Congress 2023 held in Yokohama, Japan. He received the IEEE Control Systems Magazine Outstanding Paper Award in 2015. Dr. Ishii is a Fellow of IEEE and IFAC.
Speech title: Resilient Consensus of Multi-agent Systems with Multi-hop Communication
Abstract: In this talk, we focus on a multi-agent control problem known as resilient consensus, where some agents may be adversarial and misbehave to prevent the normal agents from reaching consensus in a safe manner. To mitigate the effects of such misbehaving agents, we follow the approach to equip the normal agents with the so-called weighted mean subsequence reduced (MSR) algorithm. In particular, we show how to enhance the capabilities of the algorithm through the use of multi-hop relay channels to increase the data communicated among the agents. For our algorithm to achieve resilient consensus, the network structure plays an important role, we provide a tight characterization based on a novel condition expressed by graph robustness. We will see that this line of research can be viewed as an generalization of the classic problems of Byzantine agreement in the area of distributed algorithms. Further extensions on detection of adversarial agents, averaging, and leader-follower consensus will be introduced as well.
Keynote Speech Ⅳ
Prof. Zuyi Li
IEEE Fellow
Zhejiang University, China
Brief Introduction to Prof. Zuyi Li: Dr. Zuyi Li is currently the Qiushi Chair Professor of the College of Electrical Engineering at Zhejiang University and the Executive Director of the Energy Internet Research Center of Zhejiang University. He was previously the Grainger Chair Professor of the Department of Electrical and Computer Engineering at the Illinois Institute of Technology (IIT) and Associate Director of the Galvin Center for Electricity Innovation at IIT. He was elevated to a Fellow of the Institute of Electrical and Electronics Engineers (IEEE Fellow) for his contributions to functional microgrid design and microgrid cybersecurity analyses. His research interests include economic, secure and low-carbon operation of power systems, intelligent dispatch of new power systems, electricity markets, microgrids and interconnected microgrids, and integrated energy systems. He co-led the design, implementation and operation of the world's first 10MW campus microgrid, the IIT Microgrid, and the design and control of the world's first 20MW interconnected microgrid. His paper has been cited more than 20,000 times on Google Scholar.