Speakers（报告人）

Xiaofan   Wang (Shanghai Institute of Technology, Shanghai University, China)

Zhigang Zeng ( Huazhong University of Science   and Technology , China)

Wenwu Yu (Southeast University, China)

Zhen Wang ( Northwestern Polytechnical   University, China)

Speaker 1

Speaker:Xiaofan   Wang (Shanghai Institute of Technology, Shanghai University, China)

Title: Analysis and intervention of opinion dynamics   on complex networks

Abstract: The main aim of this lecture is to introduce   our recent researches on dynamics of opinion evolution and intervention   strategies in complex networks. First, to address the conformity pressure   under group influence, an asynchronous updating model of dual-opinion   co-evolution is developed in which individuals possessing both implicit and   explicit opinions. The co-evolution process and results are theoretically   analyzed. In the friendly scenario, where individuals have similar initial   preferences, discussions reinforce their initial opinions, leading to group   polarization, aligning with empirical findings. Second, to address opinion   intervention in the echo chamber phenomenon, a cooperative intervention   strategy based on leaders and coordinators is proposed. For the heterogeneous   Deffuant-Weisbuch model, where the evolutionary outcomes are often   unpredictable and tend to split into homogeneous clusters, a leader and a   coordinator guide group opinions to the desired state without the need for   any group information. Third, for resource-limited opinion interventions, the   impact of leader intervention timing on opinion evolution in time-varying   networks is analyzed. An optimal timing selection problem is formulated and   analyzed, aiming to determine how a leader strategically select intervention times   to maximize public opinion at a specific polling time, given a limited number   of interventions.

Biography: Xiaofan   Wang receivedthe Ph.D. degree from Southeast University, China in 1996. He   has been a Professor with Shanghai Jiao Tong University (SJTU) since 2002. He   was the vice-dean of the School of Electronics, Information and Electrical   Engineering (SEIEE) and deputy-dean of Zhiyuan College, SJTU, and vice-president   of Shanghai University. He is now the president of Shanghai Institute of   Technology, China. He received the 2002 National Science Foundation for   Distinguished Young Scholars of P. R. China, the 2008 Distinguished Professor   of the Chang Jiang Scholars Program, Ministry of Education, and the 2015   Second Class Prize of the State Natural Science Award, China. He is currently   vice-chair of IFAC Coordinating Committee CC5, and vice-chair of Systems   Engineering Society of China. His research interests include analysis and   control of complex dynamical networks.

Speaker 2

Speaker: Zhigang Zeng ( Huazhong University of Science   and Technology , China)

Title: Neurodynamic optimization methods

Abstract: Neurodynamic optimization methods are   designed to efficiently solve various complex constrained optimization   problems condensed from actual engineering applications, which are a common   technology in the field of artificial intelligence. After more than 30 years   of development, a number of neurodynamic methods for solving complex   optimization problems have emerged, which have the advantages of biological   interpretability, computational efficiency, and reliable application. This   report will focus on the research of neurodynamic methods in the field of   optimization calculations, and introduce the recent work of neurodynamic   theory, cross-species optimization methods and applications.

Biography: Zhigang Zeng (Fellow, IEEE) received the Ph.D. degree in systems   analysis and integration from Huazhong University of Science and Technology,   Wuhan, China, in 2003. He is currently a Professor with the School of Artificial   Intelligence and Automation, Huazhong University of Science and Technology,   and also with the Key Laboratory of Image Processing and Intelligent Control   of the Education Ministry of China, Wuhan. He has published over 500   international journal articles. His current research interests include   dynamics of neural networks, memristive systems, and associative memories. Dr.   Zeng has been a member of the Editorial Board of Neural Networks since 2012,   Cognitive Computation since 2010, and Applied Soft Computing since 2013. He   was an Associate Editor of the IEEE TRANSACTIONS ON NEURAL NETWORKS from 2010   to 2011 and the IEEE TRANSACTIONS ON FUZZY SYSTEMS from 2016 to 2021. He has   been an Associate Editor of the IEEE TRANSACTIONS ON CYBERNETICS since 2014.

Speaker 3

Speaker: Wenwu Yu (Southeast University, China)

Title: Systems science in the new era: Intelligent   systems and big data

Abstract: The aim of this talk is to well introduce the   emergence, research challenges and future development of the intelli- gent   systems and big data(ISBD), and to discuss the signifi- cance of the ISBD to   systems science. Towards this end, an overview of systems science is given   first and the conclusion that the development of artificial intelligence (AI)   has pro- moted the derivation and development of intelligent systems (ISs) is   drawn. Then, the fact that ISBD has been a new branch of systems science   discipline is well explained, and the main research challenges involved in ISBD   are shown in detail. Finally, the idea that employing the networked   collective intelligence (NCI) to solve those above-mentioned challenges and   to promote the future development of ISBD is raised.

Biography: Wenwu Yu received the B.Sc. degree in information   and computing science and M.Sc. degree in applied mathematics from the   Department of Mathematics, Southeast University, Nanjing, China, in 2004 and   2007, respectively, and the Ph.D. degree from the Department of Electronic   Engineering, City University of Hong Kong, Hong Kong, China, in 2010.   Currently, he is the Dean in the School of Mathematics, the Deputy Associate Director   of National Center of Applied Mathematics in Southeast University of Jiangsu,   the Deputy Director of Jiangsu Provincial Scientific Research Center of   Applied Mathematics, and a Full Professor with the Endowed Chair Honor in Southeast   University, China.

Dr. Yu held several visiting   positions in Australia, China, Germany, Italy, the Netherlands, and the USA.   His research interests include multi-agent systems, complex networks and   systems, disturbance control, distributed optimization, machine learning, game   theory, cyberspace security, smart grids, intelligent transportation systems,   big-data analysis, etc.

Dr. Yu severs as an Editorial   Board Member of several flag journals, including IEEE Transactions on   Circuits and Systems II, IEEE Trans. Industrial Cyber-Physical Systems, IEEE   Transactions on Fuzzy Systems, IEEE Transactions on Industrial Informatics, IEEE   Transactions on Systems, Man, and Cybernetics: Systems, Science China   Information Sciences, Science China Technological Sciences, etc. He is also   the Editor-in-Chief of Complex Engineering Systems.

He was listed by Clarivate Analytics/Thomson   Reuters Highly Cited Researchers in Engineering in 2014-2024. He publishes   about 100 IEEE Transactions journal papers with more than 20,000 citations. Moreover,   Dr. Yu is also the recipient of the Second Prize of State Natural Science   Award of China in 2016. He is also the Cheung Kong Scholars Programmer of   Ministry of Education of China (Artificial Intelligence).

Speaker 4

Speaker: Zhen Wang ( Northwestern Polytechnical   University, China)

Title: Building a cognitive defense network for the AI   era

Abstract: Cognitive security is the paramount   requirement in cyberspace security. The cognition of information recipients   in cyberspace is constantly under the malicious influence and manipulation of   false and harmful information, with the misuse of artificial intelligence   technology further exacerbating cognitive risks. In response to this, we have   proposed a tactical and technical framework for proactive cognitive defense   based on PPDR. This framework has achieved breakthroughs in a series of   critical support technologies, developed multiple platform systems, and   constructed a systematic solution for cognitive defense.

Biography: Zhen Wang is a professor at   Northwestern Polytechnical University and the dean of the School of   Cybersecurity (a national exemplary cybersecurity school). He also serves as   the executive vice dean of the National School of Secrecy. He is an   IEEE/IAPR/AAIA/IOP Fellow, a globally highly cited scientist, a recipient of   the National Science Fund for Distinguished Young Scholars, and the leader of   a national-level science and technology innovation team. His research focuses   on artificial intelligence, intelligent unmanned systems, and intelligent   confrontation in cyberspace.

He has published a series of   works in prestigious journals such as PNAS, Nature/Science sub-journals, PRL,   IJCAI, AAAI, NeurIPS, ICML, ICLR, WWW, etc., with over 30,000 citations. The   systems he developed have been applied to several models, and his   achievements have been featured in renowned media outlets like People's   Daily, Guangming Daily, Xinhua News Agency, Nature News, Live Science,   ScienceDaily, and others.

He has delivered plenary or   invited speeches at more than 80 international conferences, chaired over 20   national major projects, and received numerous awards including the second   prize of the National Technology Invention Award, the second prize of the   National Education and Teaching Achievement Award, the Scientific Exploration   Award, the National Innovation and Competition Award Medal, the China Youth   May Fourth Medal, the China Youth Science and Technology Award, the National   May Day Labor Medal, the inaugural MIT-TR35 China (the only one from western   China), and first-class science and technology achievement awards from the   Ministry of Education, Shaanxi Province, the Chinese Association of   Automation, and the China Electronics Society.