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Lecture by Doctor Cao Liangliang from IBM T.J. Watson Research Center

Topic: Deep Learning in Big Data

Lecturer: Doctor Cao Liangliang, IBM T.J. Watson Research Center, USA

Presider: Professor Yang Zhi

Time: 10:00 – 11:30 am, December 25, 2014

Venue: Room B510, Business School, Hunan University

Abstract:

The era of big data not only motivates many new techniques but also brings new concepts and new way of thinking. 

In the past decade, computer vision and natural language processing has experienced a number of significant changes. Most impressively, the surge of deep neural network has shown impressive performance in learning with big datasets. On the one hand, the size of the datasets collected by researchers has grown substantially. On the other hand, the statistical models also become dramatically bigger.  For example, the ImageNet LSVRC dataset in 2010 is 100+ times bigger than the dataset in 2003, and the-state-of-the-art deep CNN models have 1000+ times more parameters than the tradition bag of words model in the early 2000s. In this talk, he would like to discuss the influence of big data over deep learning models and show a few research projects on how to use deep learning to solve big data problems.

Biography:

Liangliang Cao is a researcher at the IBM T. J. Watson Research Center. He also holds an adjunct faculty position at the Columbia University in the City of New York. His recent research interests include deep learning and big data. He received his PhD from UIUC, M.Phil. from the Chinese University of Hong Kong and bachelor degree from the University of Science and Technology of China. He received the best paper award from the International Workshop on Big Data Mining, 2012 He was listed as an IBM Emerging Leader in Multimedia and Signal Processing in 2010 and Facebook Fellowship Finalist in 2010. He and his collaborators won a number of competitions, including First Place in ImageNet LSVRC 2010, First place in ImageCLEF medical image classification 2012&2013, and First Place in Watson NLP TAO Challenge 2014. After joining IBM, his work has received three times the IBM Research Division Award (individual award) as well as one Outstanding Technical Accomplishment (group award).  He was an area chair of ACM Multimedia 2012 and WACV 2014, and will act as an industrial chair for ICMR 2017.

Background Information:

Established in 1961, the Thomas J. Watson Research Center includes research facilities in Yorktown Heights, New York and Cambridge, Massachusetts, and a client-oriented IBM Industry Solution Lab in Hawthorne, New York. The center is the headquarters for IBM Research – the largest industrial research organization in the world, with twelve labs on six continents.

The center has been the location of some of the most notable technological and scientific business breakthroughs of the 20th and 21st centuries, including the invention of Dynamic Random Access Memory (DRAM), the FORTRAN programming language, the relational database, and the development of copper interconnects.

These discoveries helped create and shape the world’s computing industry, while more recent breakthroughs, including Deep Blue computing systems, breaking the Petaflop barrier, and the introduction of Watson, the deep question answering natural-language computer system, are blazing the computing trails of the future.