Zhi-Hua Zhou
Nanjing University
ACM Distinguished Scientist, IEEE Fellow, IAPR Fellow, IET/IEE Fellow,
CCF Fellow
Keynote Title and Abstract
Title: Big Data Learning by One-Pass Optimization of Performance Measures
Abstract: A popular approach to achieve a strong learning system is to
take the performance measure that will be used for evaluation as an
optimization target, and then accomplish the learning task by an
optimization procedure. Many performance measures in machine learning,
however, are unfortunately non-linear, non-smooth and non-convex,
leading to difficult optimization problems. With big data, the
optimization becomes even more challenging because of the concerns of
computational, storage, communication costs, etc. Particularly, it
becomes almost impossible to collect all data at first and then perform
optimization, and it is desired to be able to optimize performance
measures by one pass, without accessing the whole data. In this talk we
will introduce some recent studies along this direction.
Bio: Zhi-Hua Zhou is a Professor, Founding Director of LAMDA, and Deputy
Director of the National Key Lab for Novel Software Technology at Nanjing
University. He got all his degrees in computer science from Nanjing
University, all with the highest honors. His research interests are mainly
in machine learning, data mining, pattern recognition and multimedia
information retrieval. He authored the book "Ensemble Methods:
Foundations and Algorithms", and published more than 100 papers in
top-tier journals and conference proceedings. According to GoogleScholar,
his publications have received more than 13,000 citations. He has received
the National Natural Science Award of China, the IEEE Computational
Intelligence Society Outstanding Early Career Award, the Fok Ying Tung
Award, the Microsoft Young Professorship Award, 12 international
journal/conference paper/presentation or competition awards, etc. He
serves/ed as Editor-in-Chief, Associate Editor or Editorial Boards Member
of sixteen SCI(E) journals including the ACM Trans. Intelligent Systems
and Technology, IEEE Trans. Knowledge and Data Engineering, IEEE Trans.
Neural Networks and Learning Systems, Science China, etc. He is the
founder of the ACML, Steering Committee member of PAKDD and PRICAI, and
General Chair, Program Chair or Area Chair for more than thirty
conferences including AAAI, ICML, IJCAI, KDD, etc. He is the Chair of the
AI&PR Society of CCF, Chair of the Machine Learning Society of CAAI, Vice
Chair of the IEEE Computational Intelligence Society Data Mining
Technical Committee and Chair of the IEEE Computer Society Nanjing Chapter.
He is an ACM Distinguished Scientist, IEEE Fellow, IAPR Fellow, IET/IEE
Fellow and CCF Fellow.