Speaker: Ling Wang, Tsinghua University
Title: Learn to Optimize
Speaker: Ke Tang, Southern University of Science and Technology
Ke Tang is a Professor at the Department of Computer Science and Engineering, Southern University of Science and Technology (SUSTech). Before joining SUSTech in January 2018, he was with the School of Computer Science and Technology, University of Science and Technology of China (USTC), as an Associate Professor (2007-2011) and a Professor (2011-2017), respectively. His major research interests include evolutionary computation and machine learning, as well as their applications. He is a Fellow of IEEE and Changjiang Scholar Professor for Artificial Intelligence (Ministry of Education of China). He is also the recipient of a few national and international awards, such as the IEEE Computational Intelligence Society Outstanding Early Career Award, the Natural Science Award of MOE of China, and the Newton Advanced Fellowship (Royal Society, UK).
Title: Evolutionary large-scale sparse multi-objective optimization
Speaker: Xingyi Zhang, Anhui University
Prof. Xingyi Zhang is currently a Professor with the School of Computer Science and Technology, Anhui University, Hefei, China. His current research interests include unconventional models and algorithms of computation, evolutionary multi-objective optimization, and logistic scheduling. He is the recipient of the 2018, 2021, and 2024 IEEE Transactions on Evolutionary Computation Outstanding Paper Award and the 2020 IEEE Computational Intelligence Magazine Outstanding Paper Award. He is an Associate Editor of IEEE Transactions on Evolutionary Computation.
Title: Correcting complex errors in DNA data storage
Speaker: Weigang Chen, Tianjin University
Prof. Weigang Chen is a full professor with the School of Microelectronics and Frontiers Science Center for Synthetic Biology (MOE), Tianjin University. He received the B.E. degree from Shandong University, Jinan, China and Ph.D. degree from Tsinghua University, Beijing, China, in 2003 and 2008, respectively. From September 2008 to September 2009, he was a postdoc research fellow with ETIS (CNRS UMR 8051), Cergy, France. From October 2014 to September 2015, he was a visiting research fellow with UCLA, California. Currently, His current research interest includes DNA data storage, information theory and coding. He designed novel schemes for DNA data storage using indel correction codes and complete the verification including all the processes. He has published 100 papers in the academic journals including National Science Review, IEEE Transactions on Communications, etc and the international conferences. He has 60 filed patents in China. He was awarded by the Program for New Century Excellent Talents in University (NCET-12-0401) from Ministry of Education in China. He won the Best paper award of the IEEE 3rd International Conference on Multimedia Information Processing and Retrieval (IEEE MIPR 2020).