Zengmao Wang

Personal profile:

    Wang Zengmao, associate researcher (qualification) of School of computer science, Wuhan University, postdoctoral, visiting scholar of computer science department of Carlton University, Canada, won the National Postdoctoral innovation talent support program. The research direction is machine learning and data mining, including active learning, transfer learning, semi supervised learning, multi label learning, recommendation system and so on. At present, more than 10 papers have been published in CCF A / b journals and conferences such as IJCAI, ECCV, IEEE tycb, IEEE tip, IEEE tnnls, IEEE TKDE, etc. Participated in 5 provincial and ministerial level and above projects, including 1 national scientific and general project and 1 major project of artificial intelligence in Hubei Province. At the same time, he served as the reviewer of IEEE Transactions on neural networks and learning systems (tnnls), pattern recognition, IEEE Transactions on cybernetics and other international authoritative journals, and PC member of several academic conferences such as 2017-2019 IJCAI, 2018-2020 AAAI, 2020 ECCV, 2020 ICLR, etc.