2016年10月28日 俞栋博士将到ADSP访问并进行学术演讲

主讲人：Dong Yu(俞栋), Microsoft Research

时间：10月28日（周五）15:00~18:00

地点：北京大学深圳研究生院 C203

主办单位：信息工程学院

讲座内容： Deep learning is a newly emerged area of research in machine learning. In the recent years it has led to huge success in a variety of areas such as speech recognition, image classification, and natural language processing. In this talk I will describe the core concepts and design principles in deep learning using some recent advances as examples. More specifically, I will discuss the non-linear functional combinatorial view, the feature engineering view, the end-to-end optimization view, and the dynamic system view of deep learning systems, and illustrate when deep learning models may be helpful, how conventional models can be integrated with deep learning models and how new deep learning models may be invented and designed for new problems. Recent models developed for speech recognition, speech separation, speaker recognition, image captioning, and reinforcement learning will be used as examples.

讲者简介：Dr. Dong Yu is a principal researcher at Microsoft Research. His research has been focusing on speech recognition and applications of machine learning techniques. He has published two monographs and over 160 papers in these areas and is the inventor/co-inventor of over 60 granted/pending patents. His work on the context-dependent deep neural network hidden Markov model (CD-DNN-HMM), which was recognized by the IEEE SPS 2013 best paper award, caused a paradigm shift on large vocabulary speech recognition and led to a series of significant advancements in the field. He initiated and led the early effort of developing the open source deep learning software - computational network toolkit (CNTK), which is the key tool used to train research and production systems in Microsoft and many other organizations. Dr. Dong Yu is currently serving as a member of the IEEE Speech and Language Processing Technical Committee (2013-). He has served as an associate editor of IEEE transactions on audio, speech, and language processing (2011-2015), an associate editor of IEEE signal processing magazine (2008-2011), the lead guest editor of IEEE transactions on audio, speech, and language processing - special issue on deep learning for speech and language processing (2010-2011), a guest editor of the IEEE/CAA journal of automatica sinica - special issue on deep learning (2015-2016), and members of organization and technical committees of many conferences and workshops.