Published over 100 papers, 40 of which are SCI indexed, and 66 of which are EI indexed.
Developed Multi-strategy data mining platform MSMiner, Web Intelligent Information Processing software GHunt, Hypersurface Classifier HSC.
Led his team to develop a cloud-based parallel data mining platform for China Mobile Research Institute, achieving high-performance, low-cost data mining on TB level actual data.
Presided and completed several projects supported by the National Natural Science Foundation and 863 projects, which were rated excellent.
Proposed a series of effective data mining algorithms and multiple parallel machine learning algorithms.
Organized his team in developing forty parallel machine learning algorithms.
Software developed by his team, such as PDMiner, COMS, CWMS, and WMCS, have obtained software copyrights and have been applied in telecommunications, electricity, information security, environmental protection, financial insurance, and other fields, generating significant economic and social benefits.
Background
Research interests include Machine Learning; Data Mining Based Cloud Computing; Web Mining; Artificial Intelligence. Brief introduction: Professor at the Institute of Computing Technology, Chinese Academy of Sciences, and a Professor at the University of Chinese Academy of Sciences (UCAS).