Li Shen

122 papers and 3.0k indexed citations i.

Li Shen has authored 122 papers that have received a total of 3.0k indexed citations. This includes 61 papers in Artificial Intelligence, 32 papers in Computer Vision and Pattern Recognition and 16 papers in Management Science and Operations Research. The topics of these papers are Domain Adaptation and Few-Shot Learning (17 papers), Stochastic Gradient Optimization Techniques (13 papers) and Machine Learning and ELM (12 papers). Li Shen is often cited by papers focused on Domain Adaptation and Few-Shot Learning (17 papers), Stochastic Gradient Optimization Techniques (13 papers) and Machine Learning and ELM (12 papers) and collaborates with scholars based in China, United States and Hong Kong. Li Shen's co-authors include Mengzhu Wang, Vivian W.Y. Tam, Zhigang Luo, Wei Liu and Dacheng Tao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Cleaner Production and IEEE Transactions on Image Processing