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Nonlinear Multiview Analysis: Identifiability and Algorithms

Xiao Fu, Assistant Professor
School of Electrical Engineering and Computer Science
Oregon State University


In this talk, we will revisit nonlinear multiview analysis, a class of unsupervised learning problems closely related to deep canonical correlation analysis. We will examine both the theoretical and computational aspects, and share our new insights. In particular, we will show how theoretical analysis helps design effective neural network-assisted multiview analysis tools.


Xiao Fu is an Assistant Professor at Oregon State University. His research interests include the broad area of signal processing and machine learning, with an emphasis on tensor/matrix factorization. He received his Ph.D. degree from the Department of Electronic Engineering, The Chinese University of Hong Kong in 2014. Prior to OSU, he was a Postdoctoral Associate with the University of Minnesota where he was recognized as the Outstanding Postdoctoral Scholar in 2016. He serves as the treasurer of the IEEE Signal Processing Society, Oregon Chapter.

Wednesday, October 23, 2019 at 1:00pm to 2:00pm

Gleeson Hall (Chem Engr), 200
2115 SW Campus Way, Corvallis, OR 97331

Event Type

Lecture or Presentation

Event Topic




Electrical Engineering and Computer Science
Contact Name

Michael Slater

Contact Email

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