Machine Learning Lab

The main work of this lab is to explore and solve various frontier problems in machine learning and related fields, to promote innovation in the field, and to provide optimal algorithm solutions for various practical application scenarios. At present, our research interests mainly focus on intelligent recommendation, large-scale optimization, unsupervised and semi-supervised learning, small sample learning, model security and robustness improvement, and machine learning theory. Our application scenarios include e-commerce retail, intelligent customer service, smart municipality, smart supply chain and logistics, space-time data analysis, AI medical and other related fields.