Yongchun Zhu

25 papers and 3.5k indexed citations i.

Yongchun Zhu has authored 25 papers that have received a total of 3.5k indexed citations. This includes 21 papers in Artificial Intelligence, 14 papers in Information Systems and 7 papers in Computer Vision and Pattern Recognition. The topics of these papers are Recommender Systems and Techniques (12 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Topic Modeling (7 papers). Yongchun Zhu is often cited by papers focused on Recommender Systems and Techniques (12 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Topic Modeling (7 papers) and collaborates with scholars based in China, United States and Poland. Yongchun Zhu's co-authors include Fuzhen Zhuang, Ruobing Xie, Qing He and Leyu Lin and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Neural Networks and Learning Systems and Neural Networks.