Wentao Li

Wentao Li received the Ph.D. degree from the Department of Mathematics, Harbin Institute of Technology, Harbin, China, in 2019, and the M.Sc. degree from the School of Mathematics and Statistics, Chongqing University of Technology, Chongqing, China, in 2015. From 2016 to 2018, he was a joint Ph. D student with the University of Alberta, Edmonton, AB, Canada. He is currently an Associate Professor with the College of Artificial Intelligence, Southwest University, Chongqing, China. His current research interests include artificial intelligence, feature selection, and granular computing. In recent years, He has published over 30 articles including IEEE Transactions on Fuzzy Systems, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cybernetics, IEEE Transactions on Emerging Topics in Computational Intelligence, Fuzzy Sets and Systems, Information Sciences, Artificial Intelligence Review, and many others. Among them, 3 papers have been selected as “ESI hot paper” and “ESI highly cited paper”. He serves on editorial board of several international journals, and successfully held several Special Issues in journals of International Journal of Fuzzy Systems, Wireless Communications and Mobile Computing, Intelligent Automation & Soft Computing, and Frontiers in Neurorobotics. He also served as the reviewer of many journals, such as IEEE TFS, IEEE TNNLS, IEEE TCYB, IEEE TKDE, INS, KBS, AIRE, and granted the certificate of “Outstanding Reviewer” for Knowledge-Based Systems in 2018.

Publications

Big Data Quantification for Complex Decision-Making
Chao Zhang, Wentao Li. © 2024. 312 pages.
Many professionals are facing a monumental challenge: navigating the intricate landscape of information to make impactful choices. The sheer volume and complexity of big data...
Granular Computing and Big Data Advancements
Chao Zhang, Wentao Li. © 2024. 310 pages.
In an era defined by the deluge of data, navigating the complexities of decision-making under conditions of uncertainty has emerged as a formidable challenge for scholars and...