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  • AI Seminar-TASK-GUIDED HETEROGENEOUS INFORMATION NETWORK EMBEDDING

    Thu, Nov 10, 2016 @ 11:00 AM - 12:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Yizhou Sun, UCLA

    Talk Title: TASK-GUIDED HETEROGENEOUS INFORMATION NETWORK EMBEDDING

    Series: Artificial Intelligence Seminar

    Abstract: One of the challenges in mining information networks is the lack of intrinsic metric in representing nodes into a low dimensional space, which is essential in many mining tasks, such as anomaly detection, recommendation, and link prediction. Moreover, when coming to heterogeneous information networks, where nodes belong to different types and links represent different semantic meanings, it is even more challenging to represent nodes properly for a particular task. In this talk, I will introduce our recent progress of network embedding approaches that are designed for heterogeneous information networks and guided by specific tasks, and discuss (1) how to represent nodes when different types of nodes and links are involved; (2) how different tasks can guide the embedding process; and (3) how heterogeneous links play different roles in these tasks. Our results on several application domains, including enterprise networking, social network, bibliographic data, and biomedical data, have demonstrated the superiority as well as the interpretability of these new methodologies.



    Biography: Yizhou Sun is an assistant professor at department of computer science of UCLA. Prior to that, she was an assistant professor in the College of Computer and Information Science of Northeastern University. She received her Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign in 2012. Her principal research interest is in mining information and social networks, and more generally in data mining, machine learning, and network science, with a focus on modeling novel problems and proposing scalable algorithms for large-scale, real-world applications. Yizhou has over 60 publications in books, journals, and major conferences. Tutorials on mining heterogeneous information networks have been given in several premier conferences, including EDBT 2009, SIGMOD 2010, KDD 2010, ICDE 2012, VLDB 2012, ASONAM 2012, and ACL 2015. She received 2012 ACM SIGKDD Best Student Paper Award, 2013 ACM SIGKDD Doctoral Dissertation Award, 2013 Yahoo ACE (Academic Career Enhancement) Award, 2015 NSF CAREER Award, and 2016 CS@ILLINOIS Distinguished Educator Award.

    Host: Emilio Ferrara

    More Info: http://webcastermshd.isi.edu/Mediasite/Play/ce533b93329d4c65bb73697f53ebeb541d

    Location: Information Science Institute (ISI) - 11th Flr Conf Rm # 1135, Marina Del Rey

    Audiences: Everyone Is Invited

    Contact: Peter Zamar

    Event Link: http://webcastermshd.isi.edu/Mediasite/Play/ce533b93329d4c65bb73697f53ebeb541d

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