Talk today 7/24: Yan Lui, USC, 2pm E2-399
Lise Getoor
Frontiers of Learning and Mining in Multivariate Time Series Data
Prof. Yan Liu, University of Southern California
Thursday, July 24, 2:00 PM to 3:00 PM
Location: E2- 399
Many emerging applications of machine learning, such as social media analysis, climate modeling, and computational biology, involve time series data with inherent structure. In this talk, I will discuss the machine learning models that we developed to answer three most important questions in mining and learning time series data, including temporal causal inference, automatic feature learning, and multivariate time series retrieval. I will also discuss the applications of our models to social media, biology and climate data.
Bio
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 include 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, Okawa Foundation Research Award, ACM Dissertation Award Honorable Mention, Best Paper Award in SIAM Data Mining Conference, Yahoo! Faculty Award and the winner of several data mining competitions, such as KDD Cup and INFORMS data mining competition. She has published over 60 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.