IEEE Taskforce on Evolutionary Scheduling and Combinatorial Optimisation

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Evolutionary Computation Technical Committee



Evolutionary Scheduling and Combinatorial Optimisation Webinar Series



Webinar #18: Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization

Speaker: Zhenkun Wang, Southern University of Science and Technology, China
Date: 7 October 2024
Time: 4:00 - 6:00pm (CST, UTC+8)

Speaker Biography

Dr. Zhenkun Wang received his Ph.D. degree from Xidian University in 2016. From 2017 to 2020, he was a post-doctoral research fellow at Nanyang Technological University and the City University of Hong Kong in Singapore and Hong Kong, respectively. In June 2020, he joined the Southern University of Science and Technology as an Assistant Professor. His research interests mainly include multiobjective optimization, combinatorial optimization, evolutionary computation, and deep learning.

Abstract

Dr. Zhenkun Wang has published over 50 academic papers in leading journals (e.g., IEEE TEVC, IEEE TCYB, IEEE TSMCA, and IEEE TITS) and top AI conferences (e.g., ICML, NeurIPS, AAAI, IJCAI, and KDD), and has won two provincial and ministerial science and technology awards. He is an IEEE senior member, serves as associate editor of three journals, and is the chair of student activities in the IEEE CIS Shenzhen Chapter. Moreover, he has served as the Competition Chair of EMO 2021 and the PC Member of several top conferences.

The Webinar went very successful, with 50+ participants.

The video recording of the Webinar can be found here.

The slides of the Webinar can be found here.


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