Home | Sitemap | Contact | Chinese | CAS
Search: 
About AMSS Research People International Cooperation News Societies & Journals Resources Education Join Us Links
News
Location: Home >  News >  Events
Professor LIU Tieyan Gave a Lecture at AMSS
Author:
ArticleSource:
Update time: 2016-05-25
Close
A A A
Print

Professor LIU Tieyan, gave a lecture titled “Distributed Deep Learning: New Driving Force of Artificial Intelligence” at AMSS on 24, May, 2016.

This talk started with a brief review of recent advances in artificial intelligence, including the break-through in speech recognition, image classification, natural language understanding, and games playing. In the talk, he introduced the recent technical innovations made by Microsoft Research Asia on how to train very deep neural networks through effective and efficient distribute learning. First, he introduced how the residual neural networks (ResNet) can help resolve the problem of gradient vanishing and enable the training of neural networks with thousands of layers, and then made some discussions on the optimal depth for neural networks from a theoretical perspective. Second, he introduced how to appropriately use asynchronous parallelization to distribute deep learning onto multiple machines, in order to achieve linear speed up while maintaining the accuracy. At the end of the talk, he gave an overview of other related research in MSR Asia and discussed several promising future research directions.   

Professor LIU Tieyan is a principal researcher of Microsoft Research Asia, leading the research on artificial intelligence and machine learning. He is very 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 is an adjunct professor at Carnegie Mellon University (CMU) and several other universities. His top ten papers have been cited for about 4000 times in refereed conferences and journals. He has won quite a few awards, including the best student paper award at SIGIR (2008), the most cited paper award at Journal of Visual Communications and Image Representation (2004-2006), and the research break-through award at Microsoft Research (2012). He has been invited to serve as general chair, PC chair, or area chair for a dozen of top conferences including SIGIR, WWW, KDD, NIPS, IJCAI, AAAI, ICTIR, as well as associate editor/editorial board member of ACM Transactions on Information Systems, ACM Transactions on the Web, Information Retrieval Journal, and Foundations and Trends in Information Retrieval. Tie-Yan Liu and his works have been reported by many International media, including National Public Radio, CNET, MIT Technology Review, and PCTech Magazine.  

Appendix:
Copyright@2008, All Rights Reserved, Academy of Mathematics and Systems Science, CAS
Tel: 86-10-82541777 Fax: 86-10-82541972 E-mail: contact@amss.ac.cn