CSIT School Seminar: Advances in multi-instance multi-label learning
Advances in multi-instance multi-label learning
Prof. Zhi-Hua Zhou,
Dept. Computer Science and Technology, Nanjing University
Date and time: Friday 17 January, 2014, 2.30pm - 3.30pm
Venue: RMIT University, Building 10, Level 8, Room 4

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Abstract
In traditional supervised learning settings, a data object is usually represented by a single feature vector, or called an instance. Such a formulation has achieved great success; however, its utility is limited when handling data objects with complex semantics where one object belongs simultaneously to multiple semantic categories. For example, an image showing a lion besides an elephant can be recognized simultaneously as an image on lion, elephant, wild or even Africa; the text document ``Around the World in Eighty Days'' can classified simultaneously into multiple categories such as scientific novel, Jules Verne's writings or even books on traveling; a web page introducing the Bird's Nest Stadium can be categorized as a web page on Olympics, sports or even Beijing city, etc. In many real tasks it is crucial to tackle such data objects. In this talk we will introduce the MIML (Multi-Instance Multi-Label learning) framework which has been shown promising for learning data objects with complex semantics. In addition to the introduction of some theoretical and algorithmic advances in this line of research, we will also introduce some real-world MIML applications.

About the speaker
Zhi-Hua Zhou is a Cheung Kong professor, Deputy director of the National Key Lab for Novel Software Technology, and Founding director of the LAMDA Group at Nanjing University, China. His research interests mainly include machine learning, data mining, pattern recognition and multimedia information retrieval. He has published more than 100 papers in top-tier journals or conferences, authored the book "Ensemble Methods: Foundations and Algorithms" (2012), and holds 12 patents. According to Google Scholar, his papers got more than 12,000 citations, with a H-index 56. He is the recipient of the IEEE CIS Outstanding Early Career Award, Fok Ying Tung Young Professorship Award, Microsoft Young Professorship Award, and various awards including nine international journal/conference paper or competition awards. He serves/ed as Executive Editor-in-Chief of .Frontiers of Computer Science. (Springer), Associate Editor or Editorial Boards member of "ACM TIST", "IEEE TKDE", "IEEE TNNLS" and many other journals. He is the Founder of ACML, and Steering Committee member of PAKDD and PRICAI. He served as Area Chair or PC member for almost all top conferences in his areas. He is the Chair of the AI&PR Technical Committee of the China Computer Federation, Chair of the Machine Learning Technical Committee of the China Association of AI, Vice Chair of the Data Mining Technical Committee of the IEEE Computational Intelligence Society, and Chair of the IEEE Computer Society Nanjing Chapter. He is an IEEE Fellow, IAPR Fellow, IET/IEE Fellow and ACM Distinguished Scientist.

Seminar Organisation
Seminars are free and open to the general public. No booking is necessary. If you are interested in giving a presentation in this seminar series, or to make suggestions for speakers, please contact Lawrence Cavedon, the seminar co-ordinator, lawrence.cavedon@rmit.edu.au.

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