**About the Editors**

#### **Yue Wu**

Yue Wu received the B.Eng. and Ph.D. degrees from Xidian University, Xi'an, China, in 2011 and 2016, respectively. Since 2016, he has been a Teacher with Xidian University. He is currently an Associate Professor, Doctoral Supervisor, and Deputy Director of the Institute of Computational Intelligence at Xidian University. He has published more than 100 papers in high-level international journals and conferences and applied for and authorized more than 30 patents. His research interests include computational intelligence and its applications. He is the Registered Chairman of BIC-TA 2016 and ECOLE 2017, the Publishing Vice-Chairman of the 6th CCF Big Data Academic Conference, the Chairman of the IEEE CCIS2021 Organizing Committee, a Senior Member of the Chinese Computer Federation, etc. He is Editorial Board Member for over six journals, including *Remote Sensing*, *Applied Sciences*, *Electronics*, *Mathematics*.

#### **Kai Qin**

Kai Qin received a B.Eng. degree from Southeast University, Nanjing, China, in 2001, and a Ph.D. degree from Nanyang Technology University, Singapore, in 2007. From 2007 to 2017, he was with the University of Waterloo, Waterloo, ON, Canada; INRIA Grenoble Rhone-Alpes, ˆ Montbonnot-Saint-Martin, France; and RMIT University, Melbourne, VIC, Australia. He joined the Swinburne University of Technology, Hawthorn, VIC, Australia, in 2017, where he is currently a Professor. He is currently the Director of Swinburne Intelligent Data Analytics Lab, the Deputy Director of Swinburne Space Technology and Industry Institute, and the Program Lead of Swinburne Data Science Research Institute. His major research interests include machine learning, evolutionary computation, computer vision, remote sensing, services computing, and pervasive computing. Dr. Qin was a recipient of the 2012 IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION Outstanding Paper Award. He is currently the Chair of the IEEE Computational Intelligence Society (CIS) Neural Networks Technical Committee and the Vice-Chair of the IEEE CIS Emergent Technologies Task Force on "Multitask Learning and Multitask Optimization".

#### **Maoguo Gong**

Maoguo Gong received B.Eng. and Ph.D. degrees from Xidian University, Xi'an, China, in 2003 and 2009, respectively. Since 2006, he has been a Teacher with Xidian University. He was promoted to an Associate Professor and a Full Professor, in 2008 and 2010, respectively, with exceptive admission. His research interests are broadly in the area of computational intelligence, with applications to optimization, learning, data mining, and image understanding. Dr. Gong received the prestigious National Program for the support of Top-Notch Young Professionals from the Central Organization Department of China, the Excellent Young Scientist Foundation from the National Natural Science Foundation of China, and the New Century Excellent Talent in University from the Ministry of Education of China. He is an Associate Editor of the *IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION* and the *IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS*.

#### **Qiguang Miao**

Qiguang Miao received the M.Eng. and Doctor degrees in computer science from Xidian University, Shaanxi, China. Since 2006, he has been a Full Professor in School of Computer Science and Technology at Xidian University, Xi'an, China, and the Director of Machine Learning and Intelligent Image Processing laboratory (MLIP). His research interests include pattern recognition, machine learning, and malware behavior analysis. In 2012, he was selected as a member of the program for New Century Excellent Talents in University of China by the Ministry of Education (MOE). He is a Member of IEEE; Member of ACM; IEEE CS Society; Senior Member of China Computer Federation (CCF) and AC of CCF YOCSEF, an Executive Member of Artificial Intelligent and pattern Recognition Council of CCF, and Members of Editorial board for IOT, etc.
