Wu Ai received the B.S. degree in Mathematics and Applied Mathematics from Hubei University for Nationalities, Enshi, Hubei, China, in 2005, the M.S. degree in Computational Mathematics from Huazhong University of Science and Technology, Wuhan, Hubei, China, in 2007, and the Ph.D. degree in Applied Mathematics from Xidian University, Xi’an, Shaanxi, China, in 2017. He was a Visiting Scholar at La Trobe University, Melbourne, Victoria, Australia, from September, 2018 to September, 2019, and at Peking University, Beijing, China, from September, 2021 to June, 2022.

He is currently an Associate Professor at College of Science, Guilin University of Technology, Guilin, Guangxi, China. His research interests include artificial intelligence, distributed optimization, and machine learning in a decentralized architecture.

Distributed optimization

Distributed machine learning,

Multi-agent systems

Artificial intelligence

Member, Institute of Electrical and Electronics Engineers (IEEE)

Member, Association for Computing Machinery (ACM)

Member, China Society for Industrial and Applied Mathematics (CSIAM)

Member, China Computer Federation (CCF)

Director, Guangxi Mathematical Society

Director, Guilin Mathematical Society

IEEE Transactions on Neural Networks and Learning Systems（SCI IF 11.683, Top）

IEEE Transactions on Cybernetics (SCI IF 10.387, Top)

IEEE Transactions on Systems, Man, and Cybernetics: Systems (SCI IF 7.351)

Information Sciences (SCI IF 5.524, Top)

Neurocomputing (SCI IF 4.072)

Neural Processing Letters (SCI IF 2.591)

Ai, Wu, Chen, Weisheng*, Hua, Shaoyong. Distributed cooperative learning for a group of uncertain systems via output feedback and neural networks. Journal of the Franklin Institute, 2018, 355(5): 2536--2561

Ai, Wu, Chen, Weisheng*, Xie, Jin. Distributed learning for feedforward neural networks with random weights using an event-triggered communication scheme. Neurocomputing, 2017, 224: 184--194

Ai, Wu, Chen, Weisheng*, Xie, Jin. A general framework for population-based distributed optimization over networks. Information Sciences, 2017, 418: 136--152

Ai, Wu, Chen, Weisheng*, Xie, Jin. A zero-gradient-sum algorithm for distributed cooperative learning using a feedforward neural network with random weights. Information Sciences, 2016, 373: 404--418