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

Office: 303 Annenberg
Email: yyue@caltech.edu
(please read before emailing)

Admin: Diane Goodfellow (diane@cms.caltech.edu)

• Invited Workshop: I am attending the Data-driven Algorithmics workshop on November 5-10, 2017.
• Invited Talk: Invited talk at Southern California Machine Learning Symposium on October 6th, 2017.
• Blog Article: Our paper on smooth imitation learning was covered in an invited blog article titled Beyond Deep Learning: a Case Study in Sports Analytics. [ICML paper]
• Invited Talk: Invited talk at Microsoft Research Colloquium at MSR New England on September 6th, 2017.
• Dagstuhl Seminar: I am attending the Machine Learning and Formal Methods Dagstuhl Seminar on August 28th - September 1st, 2017.
• Press Release: Our work on data-driven speech animation is highlighted on Road to VR! [SIGGRAPH paper][demo video (shown below)]
  
• Press Release & Interview: Neural Networks Model Audience Reactions to Movies, also radio interview. [CVPR paper]
• Microsoft Faculty Summit: I am attending the Edge of AI Microsoft Research Faculty Summit on July 17-18, 2017.
• Invited Talk: Invited talk at Machine Learning Methods for Recommender Systems Workshop to be held at SDM 2017.
• Invited talk: Invited talk at Symposium on Machine Learning and Human Behavior to be held at UC Irvine on March 10th, 2017.
• Best Paper Runner Up: Our paper "Data-Driven Ghosting using Deep Imitation Learning" wins Runner Up to Best Research Paper at the MIT Sloan Sports Analytics Conferece! [pdf][project][press release][demo video (shown below)]
  
• Caltech Computes Alumni College: I gave a talk titled Automatically Improving Automation using Big Data at the Caltech Computes Alumni College.
  
• Southern California Machine Learning Symposium: I am co-organizing the next SoCal ML Symposium, to be held at Caltech on November 18th, 2016.
• Innovation in Artificial Intelligence: I will be moderating a discussion panel on Innovation in Artificial Intelligence on September 15th, 2016.
• Coverage on Sports Illustrated: My collaboration with Disney Research on imitation learning for camera control is featured on Sports Illustrated! [ICML paper][CVPR paper]
• Bloomberg Data Science Research Grant: I'm delighted to be awarded a Data Science Research Grant from Bloomberg Labs!
• Personalization Workshop: Please consider participating in our Computational Frameworks for Personalization Workshop being held at ICML 2016!
• Sports Analytics Workshop: Please consider participating in our Large-Scale Sports Analytics Workshop being held at KDD 2016!
• Blog Post: Thoughts on NIPS 2015 and OpenAI.
• Invited Workshop: Algorithms for Human Robot Interaction Workshop.
• Blog Post: Thoughts on KDD 2015.
• Fundraising Chair of AISTATS 2016.
• Invited Talk at Reflections | Projections 2015 organized by ACM@UIUC.
• Invited Workshop: Data-driven Algorithmics Workshop. [slides]
• A Decision Tree Framework for Spatiotemporal Sequence Prediction accepted for publication at KDD 2015. [pdf][demo]
• Sports Analytics Workshop: Please consider participating in our Large-Scale Sports Analytics Workshop being held at KDD 2015!
• Interview by Jessica Stoller-Conrad @Caltech. [link]
• Invited Talk at Human Propelled Machine Learning Workshop at NIPS 2014.
• Learning Fine-Grained Spatial Models for Dynamic Sports Play Prediction accepted for publication at ICDM 2014. [pdf][demo][press release]
• Personalization Workshop: Please consider participating in our Personalization Workshop being held at NIPS 2014!
• Sports Analytics Workshop: Please consider participating in our Large-Scale Sports Analytics Workshop being held at KDD 2014!
• Personalized Collaborative Clustering accepted for publication at WWW 2014. [pdf][slides][data]
• Invited Talk at DISCML Workshop at NIPS 2013.
• Press release of EMS ambulance allocation project with the iLab is now up! [link][research paper]
• Invited talk at WSCD Workshop at WSDM 2012.