Research Interests

Machine Learning, Optimization, and Computer Vision

Experience

2010.8 - 　　　　　　Ph.D Program 　　 Advisor: Fei Sha
Department of Computer Science, University of Southern California (USC), Los Angeles, USA

2009.8 - 2010.6　　　Research Associate
Robotics Institute, Carnegie Mellon University (CMU), Pittsburgh, USA

2007.9 - 2007.12　　 Exchange Program
Department of Computer Science, City University of Hong Kong (CityU), HK

2005.9 - 2009.6　　　B. Eng Program
School of Software, Sun Yat-sen University (SYSU), Guangzhou, China

Publications

Yuan Shi and Fei Sha. Information-Theoretical Learning of Discriminative Clusters for Unsupervised Domain Adaptation. International Conference on Machine Learning (ICML), 2012.

Boqing Gong, Yuan Shi, Fei Sha and Kristen Grauman. Geodesic Flow Kernel for Unsupervised Domain Adaptation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012. (Oral)

Yuan Shi, Yung-Kyun Noh, Fei Sha, and Daniel D. Lee. Learning Discriminative Metrics via Generative Models and Kernel Learning. NIPS Workshop "Beyond Mahalanobis: Supervised Large-Scale Learning of Similarity" , 2011. (Oral)

Huan Li, Yuan Shi, Mingyu Chen, Alexander Hauptmann and Zhang Xiong. Hybrid Active Learning for Cross-Domain Video Concept Detection. ACM Multimedia (ACM MM), 2010.

Yuan Shi, Zhenzhong Lan, Wei Liu and Wei Bi. Extending Semi-Supervised Learning Methods for Inductive Transfer Learning. IEEE International Conference on Data Mining
(ICDM), 2009. (Oral)

Awards

2010　　USC Annenberg Graduate Fellowship

2009　　National Science Foundation (NSF) Travel Award for ICDM

2009　　Meritorious Winner in Mathematical Contest in Modeling (MCM), USA