Hai Huang worked as a Postdoctoral Fellow at Machine Intelligence and kNowledge Engineering (MINE) Laboratory during January 2012 - January​ 2014 at King Abdullah University of Science and Technology (KAUST).

First employment: Postdoctoral Researcher at Griffith University, Australia, 2014​​​

​​Research Interests

Hai focused research on query processing on Semantic Web databases. With the rapid growth of RDF (Resource Description Framework) triples on the web, he tried to employ cloud computing techniques to process RDF queries efficiently and effectively on Internet-scale RDF data. His research interests also included data mining and knowledge discovery on linked data.

Selected Publications

• Hai Huang, Chengfei Liu, Xiaofang Zhou: Approximating query answering on RDF databases. World Wide Web 15(1): 89-114 (2012)
• Hai Huang, Chengfei Liu: Estimating selectivity for joined RDF triple patterns. The 20th ACM International Conference on Information and Knowledge Management (CIKM), 1435-1444, 2011 (long paper)
• Hai Huang, Chengfei Liu: Query Relaxation for Star Queries on RDF. International Conference on Web Information System Engineering (WISE), 376-389​, 2010.

Education Profile

• ​Ph.D., Computer Science, Swinburne University of Technology, Australia, 2011.
• M.S., Pattern Recognition and Intelligent Systems, Institute of Intelligent Machines, Chinese Academy Of Sciences, ​China, 2006.
• B.S., Computer Science, Hefei University of Technology, China, 2003.