Yisong Yue
California Institute of Technology
1200 E. California Blvd.
CMS, 305-16
Pasadena, CA 91125

Office: 303 Annenberg
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Admin: Diane Goodfellow (

I am an assistant professor in the Computing and Mathematical Sciences department at the California Institute of Technology. I am the director of the DOLCIT, which is centered around research pertaining statistical decision theory, statistical machine learning, and optimization, broadly construed.
New PhD Program
Prospective PhD Students, please consider applying to Caltech's new PhD program in Computing and Mathematical Sciences.

I also recruit from the PhD program in Computation & Neural Systems.
My research interests lie primarily in the theory and application of statistical machine learning. I am more generally interested in artificial intelligence. I am the director of DOLCIT, and I also interact closely with the RSRG and Computational Vision groups at Caltech, as well as the Center for Autonomous Systems and Technology (CAST) and the Center for the Mathematics of Information (CMI).

Currently, I am particularly interested in learning with humans in the loop, interactive learning systems, structured prediction, and spatiotemporal reasoning. In the past, my research has been applied to information retrieval, recommender systems, text classification, learning from rich user interfaces, analyzing implicit human feedback, data-driven animation, behavior analysis, sports analytics, policy learning in robotics, and adaptive routing & allocation problems.

Some Recent Publications:
  • A Deep Learning Approach for Generalized Speech Animation
    Sarah Taylor, Taehwan Kim, Moshe Mahler, James Krahe, Anastasio Garcia Rodriguez, Jessica Hodgins, Yisong Yue, Iain Matthews
    ACM Conference on Computer Graphics (SIGGRAPH), July 2017.
    (paper forthcoming)
  • Learning recurrent representations for hierarchical behavior modeling
    Eyrun Eyjolfsdottir, Kristin Branson, Yisong Yue, Pietro Perona
    International Conference on Learning Representations (ICLR), April, 2017.
  • Generating Long-term Trajectories Using Deep Hierarchical Networks
    Stephan Zheng, Yisong Yue, Patrick Lucey
    Neural Information Processing Systems (NIPS), December 2016.
  • Smooth Imitation Learning for Online Sequence Prediction
    Hoang M. Le, Andrew Kang, Yisong Yue, Peter Carr
    International Conference on Machine Learning (ICML), June, 2016.
    [pdf][long][press release][Sports Illustrated]
  • Chalkboarding: A New Spatiotemporal Query Paradigm for Sports Play Retrieval
    Long Sha, Patrick Lucey, Yisong Yue, Peter Carr, Charlie Rohlf, Iain Matthews
    ACM Conference on Intelligent User Interfaces (IUI), March, 2016.
    [pdf][demo video][press release]
  • Personalized Collaborative Clustering
    Yisong Yue, Chong Wang, Khalid El-Arini, Carlos Guestrin
    International World Wide Web Conference (WWW), April, 2014.
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