Dai Bing Tian

Bing Tian Dai received the PhD degree from the National University of Singapore, in 2011 with research works on applying machine learning techniques to solve database problems for data mining applications. He is currently an assistant professor with the School of Information Systems, Singapore Management University. He is also the director of MITB (Artificial Intelligence) Programme. Prior to his faculty position, he was a research scientist at Living Analytics Research Centre, working on graph mining and machine learning problems on social media and social networks.

Education

• PhD, National University of Singapore, Singapore, 2012
• Bachelor of Computer Science, National University of Singapore, Singapore, 2004
• Bachelor of Science, National University of Singapore, Singapore, 2004

Academic Appointments

• Assistant Professor of information Systems (Education), School of Computing and Information Systems, SMU, Oct 2016 - Present
• Research Scientist, Living Analytics Research Centre, Singapore Management University, Singapore, Oct 2012 - Sep 2016
• Research Fellow, School of Information Systems, Singapore Management University, Singapore, Mar 2012 - Sep 2012
• Research Engineer, School of Information Systems, Singapore Management University, Singapore, Oct 2010 - Feb 2012
• Research Assistant, School of Computing, National University of Singapore, Singapore, May 2009 - Sep 2010

Publications

• The gap of semantic parsing: A survey on automatic Math word problem solvers, by ZHANG, Dongxiang;
  WANG, Lei; ZHANG, Luming; DAI, Bing Tian; SHEN, Heng Tao. (2020). IEEE Transactions on Pattern
• UpSizeR: Synthetically scaling an empirical relational database, by TAY, Y. C.; DAI, Bing Tian; WANG,
  Daniel T.; SUN, Eldora Y.; LIN, Yong; LIN, Yuting. (2013). Information Systems, 38 (8), 1168-1183.
• Optimized algorithms for predictive range and KNN queries on moving objects, by ZHANG, Rui;
  JAGADISH, H.V.; DAI, Bing Tian; RAMAMOHANARAO, Kotagiri. (2010). Information Systems, 35 (8),