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About Le Song

Professor Le Song is a Professor in the Machine Learning Department at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI).

Biography

Prof. Le Song was an Associate Professor of Computational Science and Engineering and also the Associate Director of Center for Machine Learning at Georgia Institute of Technology in the USA. He holds the PhD in Computer Science from the University of Sydney and National ICT Australia. He taught in different educational institutions in the USA.

Prof. Le Song published more than 160 papers in peer-reviewed top machine learning conferences and journals such as NeurIPS, ICML, ICLR, AISTATS and JMLR over the past 15 years. He was invited as an Area Chair in many  international conferences. Prof. Le Song is also an active member of several regional and international groups in the field of Machine Learning, Artificial Intelligence and Statistics, such as the board member of the International Conference on Machine Learning.

Prof. Le Song is an experienced educator and researcher in the field of Machine Learning and Artificial Intelligence. He received honors and awards for his research and articles as a Principal Investigator and co-Principal Investigator.

Prof. Le Song’s impressive portfolio includes his several years’ experience in various Institutes such as Georgia Institute of Technology, Google Research,  Carnegie Mellon University and National ICT Australia, he developed machine learning methods and algorithms for complex and dynamic data, machine learning and cross-campus multi-disciplinary research, large scale machine learning package for Internet data, nonparametric probabilistic graphical models for complex social and biological data and analyzed sensor time series data using kernel methods.

Prof. Le Song’s remarkable works won several best paper awards at the ACM Conference on Recommendation System (Recsys) in 2016, Artificial Intelligence and Statistics (AISTATS) in 2016, IEEE International Parallel & Distributed Processing Symposium (IPDPS) in 2015, Neural Information Processing Systems (NeurIPS) in 2013, and International Conference on Machine Learning (ICML) in 2010. He was also the recipient of the National Science Foundation CAREER Award in 2014, and Outstanding Junior Faculty Research Award in 2014 and Lockheed Martin Inspirational Young Faculty Award in 2014.

Positions

Department Chair and Professor, Mohamed bin Zayed University of Artificial Intelligence Department of Machine Learning
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Honors and Awards

  • ACM Conference on Recommendation System (Recsys)’ 2016 Best Paper Award
  • Artificial Intelligence and Statistics (AISTATS)’ 2016 Best Paper Award
  • IEEE International Parallel & Distributed Processing Symposium (IPDPS)’ 2015 Best Paper Award
  • Neural Information Processing Systems (NeurIPS)’ 2013 Best Paper Award
  • International Conference on Machine Learning (ICML)’ 2010 Best Paper Award
  • National Science Foundation CAREER Award in 2014
  • Outstanding Junior Faculty Research Award in 2014
  • Lockheed Martin Inspirational Young Faculty Award in 2014.



Journal Articles (1)

Conference Proceedings (4)

Preprints (9)