Computer Science

“AI for Content Creation and Discovering”


Speaker: Dr. Lei Li, Toutiao AI Lab

Host: Zhou Yu

Time:  Friday April 13, 2018, 4:15pm 

Place: 1003 Kemper Hall

Abstract:

In the mobile era, we are being presented an exciting opportunity to shape the way people acquire and consume information. We believe that AI will fundamentally change the way people connect with information, and we can use AI to improve the effectiveness and efficiency in the entire process of content creation, moderation, dissemination, consumption, and interaction. In this talk, we will reveal the roles of AI technologies in information consumption platforms. We will share several recent work at Toutiao AI Lab towards more efficient information creation and interaction. We will introduce a robot writer, Xiaomingbot, which has produced over 20000 articles since August 2016. We will also introduce our latest research in visual understanding of objects and scene in short videos, and how these technologies assist authors to create better content. The talk will be accompanied with interactive demos of these technologies in Toutiao’s products such as Douyin, Hotsoon, and Xigua apps.

Bio:

Dr. Lei Li is a research scientist at Bytedance and tech director at Toutiao AI Lab. Lei received his B.S. in Computer Science and Engineering from Shanghai Jiao Tong University (ACM class) and Ph.D. in Computer Science from Carnegie Mellon University, respectively. His dissertation work on fast algorithms for mining co-evolving time series was awarded ACM KDD best dissertation (runner up). His recent work on AI writing received 2nd-class award of WU Wenjun AI prize of China. Before Toutiao, he worked at Baidu’s Institute of Deep Learning in Silicon Valley as a Principal Research Scientist (Young Leading Scholar). Previously, he worked briefly at Microsoft Research (Asia and Redmond), Google (Mountain View), and IBM (TJ Watson Reserch Center). Before joining Baidu, he was working in EECS department of UC Berkeley as a Post-Doctoral Researcher. His research interest lies in the intersection of deep learning, statistical inference, natural language understanding, and time series analysis. He has served in the Program Committee for ICML 2014, ECML/PKDD 2014/2015, SDM 2013/2014, IJCAI 2011/2013/2016, KDD 2015/2016, 2017 KDD Cup co-Chair, and as a lecturer in 2014 summer school on Probabilistic Programming for Advancing Machine Learning. He has published over 30 technical papers and holds 3 US patents.

 

Location
1131 Kemper Hall

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