INTRODUCTION: Zhenghua Xu (许铮铧) received the B.Eng. degree from Beijing University of Posts and Telecommunications, China, the M.Phil. in Computer Science degree from The University of Melbourne, Australia, in 2012, and the D.Phil in Computer Science degree from University of Oxford, United Kingdom, in 2018. From 2017 to 2018, he worked as a Research Associate at the Department of Computer Science, University of Oxford. Prof. Xu is now a Full Professor at the Hebei University of Technology, China, and also a Distinguished Scholar of “100 Talents Plan” of Hebei Province, China. He has published more than 20 papers in top AI or database conferences, e.g., AAAI, IJCAI, ICDE, EDBT, CIKM, etc. His research focuses on topics within artificial intelligence and data mining, especially deep learning, medical artificial intelligence, health data mining, and reinforcement learning. Prof. Xu’s research is supported by the National Natural Science Foundation of China, the Natural Science Foundation of Tianjin, the “100 Talents Plan” of Hebei Province, and the Yuanguang Scholar Fund of Hebei University of Technology. Dr. Xu continuously serve as the member of Program Committee and Area Chair of several top AI conferences, e.g., AAAI, IJCAI, ECAI, MICCAI, etc. He is also the reviewer of many peer-reviewed journals, e.g., Artificial Intelligence, IEEE Transactions on Knowledge and Data Engineering, IEEE Access, IEEE Intelligent Systems, etc.