DSAA 2017 Invited Industry Talks


  • Speaker: Dr. Satoshi Morinaga (NEC Corporation, Japan)
    Title: TBA

 
 

Yanjun Ma Dr. Yanjun Ma
Senior Research Scientist, Baidu
Title: Building content quality models for News Feed – Baidu’s practice
Abstract:

Content quality has been a longstanding problem for information access. With the rapid progress of news feed in recent years, the importance of hight quality content cannot be overstated. In this talk, I will share Baidu’s practice in developing a leading news feed product, with a special focus on building content quality models with AI technology.

Bio for Dr. Yanjun Ma:

Dr. Yanjun Ma is a scientist at Baidu, with research mainly focusing on Natural Language Processing and Machine Translation. His research is widely used in a range of products including Baidu web search, news feed and Duer. He has authored and co-authored over 20 research publications, and served on the editorial board of Machine Translation Journal, as well as area co-chairs for a number of international conferences including ACL, IJCAI etc. Dr. Yanjun Ma obtained his PhD in Computer Science from Dublin City University in 2009. He also holds MA and BA in Computational Linguistics from Tsinghua University and Shandong University. In 2015, Dr. Yanjun Ma received 2015 China Science and Technology Progress Award for his research on Machine Translation.


 

 

Wenyuan Dai Mr. Wenyuan Dai
CEO, The 4th Paradigm Data & Technology Co.,Ltd.
Title: The main problems and their solutions in industrial machine learning applications
Abstract:

In this talk, we will start from a most sucessful machine learning system, known as Baidu’s Phoenix Net system, in China. We will show the thinkings of the design of this very high dimensional machine learning system, from the version 1.0 in 2009 to version 2.0 in 2013. This system helped Baidu boost its revenue for over 800%. Then we will show the main difficulties if we want to apply such kind of technologies to more other applications, and introduce some solutions we are working on to overcome these difficulties.

Bio for Mr. Wenyuan Dai:

Wenyuan Dai is the founder and CEO of the 4Paradigm Tech Co., Ltd. 4Paradigm is a leading AI service provider mainly for financial and internet enterprises. Before starting 4Paradigm, Wenyuan was the senior scientist and principal architect in Baidu, and responsible for Baidu’s search ads machine learning system. Wenyuan was also a principal research scientist of Huawei’s Noah’s Ark Lab, and led a machine learning research team covering Huawei’s business in telco, finance, and mobile phone.


 

 

Kei Harada Dr. Kei Harada
data scientist, Financial Engineering Group

Title: Textual Information based automatic Item Classification
            – a case of Challenging Company in Japan –

Abstract:

EC companies today handle millions of items to meet more and more diverse demand of the consumers. These items must be classified into hierarchical categories (sometimes by hand) in order to make it easier for consumers to find what they want, and to make it easier for companies to manage items.
In this presentation, a case in a Japanese EC company will be introduced. I will talk about our challenge to classify these items automatically using textual information about items, and I will report our results including fastText.

Bio for Dr. Kei Harada :

Kei Harada was received Ph.D. degrees in Mathematical Science from Nagoya University, Japan in 2011. He is working as a consultant and as a data scientist in Financial Engineering Group. He is a Kaggle Master, and his team won the 2nd prize in KDDCUP 2015.


 

 

Akira Tajima Dr. Akira Tajima
Head of Yahoo! JAPAN Research

Title: TBA

Abstract: TBA
 
Bio for Dr. Akira Tajima :

As Head of Yahoo! JAPAN Research, Akira Tajima is working on leveraging advanced technologies and big data in Yahoo! JAPAN services, as well as leading research activities. Prior to joining Yahoo Japan Corporation, he led Mathematical Science team in IBM Research – Tokyo. He also worked as a consultant at A.T. Kearney for several years and enhanced his business background. He received his Ph.D. degree in information science from the University of Tokyo in 2000.