Focusing on the important supporting role of big data in the process of urban intelligence, the research group integrate intelligent technologies for mining the value of big data in developing a smart city. One of the key research areas is to investigate learning and representation algorithms by combining knowledge graph and big data; propose joint models by integrating structural information and big data, so as to more effectively describe the linkage among the inner and outer entities of knowledge graph; automatically fill in the missing information of knowledge graph with deep modeling; propose multi-labeled relation extraction algorithms by attention-based capsule networks; explore multi-source sensing and fusion of urban big data; conduct urban big data mining and analysis with transfer learning and federated learning.

Representative Research