Yutian Chen

About Me

I'm a 5th year Ph.D. candidate in the Department of Computer Science, Donald Bren School of Information and Computer Science, University of California, Irvine. I received my B.E. in Electronic Engineering from Tsinghua University, Beijing, China in 2007, and then came to UC Irvine to pursue my doctoral degree. I'm working with Prof. Max Welling. My research interest includes artificial intelligence, machine learning and computer vision.

Research

My currently research is on a deterministic sampling algorithm known as herding. Herding takes as input a probabilistic distribution or a set of random samples, and outputs pseudo-samples without explicitly specifying a probabilistic model. These pseudo-samples are highly correlated, but convey more information than i.i.d. samples at the same size from the target distribution.

Publication

1. Yutian Chen, Andrew Gelfand, Charless C. Fowlkes, Max Welling
   Integrating Local Classifiers through Nonlinear Dynamics on Label Graphs with an Application to Image Segmentation.
   International Conference on Computer Vision (ICCV), 2011 pdf
2. Andrew E. Gelfand, Laurens van der Maaten, Yutian Chen and Max Welling
   On Herding and the Perceptron Cycling Theorem.
   Neural Information Processing Systems (NIPS), 2010 pdf
3. Yutian Chen, Max Welling and Alex Smola
   Super-Samples from Kernel Herding.
   Conference on Uncertainty in Artificial Intelligence (UAI), 2010 pdf code
4. Yutian Chen and Max Welling
   Dynamical Products of Experts for Modeling Financial Time Series.
   International Conference on Machine Learning (ICML), 2010 pdf
5. Yutian Chen and Max Welling
   Parametric Herding.
   Artificial Intelligence and Statistics (AISTATS), 2010 pdf
6. Max Welling and Yutian Chen
   Statistical Inference Using Weak Chaos and Infinite Memory.
   Proceedings of the Int'l Workshop on Statistical-Mechanical Informatics (IW-SMI), 2010 pdf
7. Yutian Chen and Max Welling
   Bayesian Extreme Components Analysis.
   International Joint Conferences on Artificial Intelligence (IJCAI), 2009 pdf code