Tie-Yan Liu (tyliu@microsoft.com)

Homepage: https://www.microsoft.com/en-us/research/people/tyliu/

Dr. Liu is a principal researcher of Microsoft Research Asia, leading the research on artificial intelligence and machine learning. He is well known for his pioneer work on learning to rank and computational advertising, and his recent research interests include deep learning and distributed machine learning. He has published many highly-cited papers, and has been general chair, PC chair, area chair, workshop organizer, tutorial speaker, and keynote speaker for many international conferences, including SIGIR, WWW, KDD, NIPS, IJCAI, AAAI, ICTIR. His team recently open-sourced Microsoft Distributed Machine Learning Toolkit (DMTK) and Microsoft Graph Engine.

James Kwok (jamesk@cse.ust.hk)

Homepage: http://www.cse.ust.hk/~jamesk/

Dr. Kwok is a full professor at Department of Computer Science and Engineering, Hong Kong University of Science and Technology. He served as an Associate Editor for the IEEE Transactions on Neural Networks and Learning Systems from 2006-2012, and is currently serving as Associate Editor for the Neurocomputing journal. He has been program chair, area chair and keynote speaker for many international conferences. He is also a Governing Board Member of the Asia Pacific Neural Network Assembly (APNNA).

Chih-Jen Lin (cjlin@csie.ntu.edu.tw)


Prof. Lin is a distinguished professor at Department of Computer Science, National Taiwan University. His major research areas include machine learning, data mining, and numerical optimization. He is best known for his work on support vector machines (SVM) for data classification. His software LIBSVM is one of the most widely used and cited SVM packages. For his research work he has received many awards, including the ACM KDD 2010 and ACM RecSys 2013 best paper awards. He is an IEEE fellow, an AAAI fellow and an ACM fellow for his contribution to machine learning algorithms and software design.