Events Calendar

AI SEMINAR

Speaker: Yan Liu, USC, Computer Science Department

Talk Title: When Big meets Complex: Learning and Mining in Large-scale Time Series Data

Abstract: Many emerging applications of machine learning, such as social media analysis, climate modeling, and computational biology, involve time series data with inherent structures. In this talk, I will discuss the practical challenges in analyzing time series data and our solutions via Granger graphical models.

Biography: Yan Liu is an assistant professor in Computer Science Department at University of Southern California from 2010. Before that, she was a Research Staff Member at IBM Research from 2006. She received her M.Sc and Ph.D. degree from Carnegie Mellon University in 2004 and 2006. Her research interest includes developing scalable machine learning and data mining algorithms with applications to social media analysis, computational biology, climate modeling and business analytics. She has received several awards, including NSF CAREER Award, ACM Dissertation Award Honorable Mention, Best Paper Award in SDM, and winner of several data mining competitions, such as KDD Cup and INFORMS data mining competition. She has published over 50 referred articles and served as a program committee of SIGKDD, ICML, NIPS, CIKM, SIGIR, ICDM, AAAI, COLING, EMNLP and co-chair of workshops in KDD and ICDM.


Host: David Chiang

More Info: TBA

Webcast: TBA

Location: Information Science Institute (ISI) - Marina del Rey, 11th flr Conf. Room

WebCast Link: TBA

Audiences: Everyone Is Invited

Contact: Kary LAU

Event Link: TBA