Hengjie Song worked as a Postdoctoral Fellow at Machine Intelligence and kNowledge Engineering (MINE) Laboratory during February 2012 - November 2012 at King Abdullah University of Science and Technology (KAUST). Hengjie received his Ph.D. degree from Nanyang Technological University (NTU, Singapore). Currently, Hengjie is a JSPS fellow in Graduate School of Informatics, Kyoto University, Japan.

Research Interests

Hengjie's research interests included Data mining, Social networks​​​ and Web mining. His research focused on Fuzzy Systems, AI techniques (data mining, machine learning and probabilistic reasoning).

Selected Publications

• Hengjie Song, Ruoxue Liao, Xiangliang Zhang, Chunyan Miao, Qiang Yang​: Automatic Label Generation by Combining Mouse Trajectory and Click-Through Data. AAAI 2012​ (to appear)
• ​Hengjie Song, Chunyan Miao, Zhiqi Shen: Generating True Relevance Labels in Chinese Search Engine Using Clickthrough Data. AAAI 2011
• Hengjie Song, Chunyan Miao, Zhiqi Shen, Roel Wuyts, Maja D'Hondt, Francky Catthoor: A probabilistic fuzzy approach to modeling nonlinear systems. Neurocomputing 74(6): 1008-1025 (2011)
• Hengjie Song, Chunyan Miao, Roel Wuyts, Zhiqi Shen, Francky Catthoor: Implementation of Fuzzy Cognitive Maps Based on Fuzzy Neural Network and Application in Prediction of Time Series. IEEE Trans. Fuzzy Systems 18(2): 233-250 (2010)