Felix X. Yu is currently working on bleeding edge machine learning technologies at Google Research, New York. He received his Ph.D from Dept. of Electrical Engineering, Columbia University, in 2015, and his B.S. from Dept. of Electronic Engineering, Tsinghua University, China, in 2010. Yu is interested in large-scale machine learning with structured matrices, learning with weak supervisions, and their applications in computer vision. His works have been recognized by the IBM PhD Fellowship Award (2014-2015), the Facebook PhD Fellowship Finalist Award (2014), the ACM Multimedia Best Paper Award (2011), and the ACM ICMR Best Paper Award (2014). LinkedIn Google Scholar
MACHINE LEARNING:
Fast deep neural network/ binary embedding/ kernel approximation (ICML14, ICCV15, NIPS15, NIPS16)
Learning from label proportions and weakly supervised learning (ICML13, CVPR14, MM14)
COMPUTER VISION:
Attribute-based visual recognition (CVPR12, 13, 14, MM14)
Complex video event analysis (CVPR14, ICMR14)
Novel applications on geolocation, and mobile devices (MM11)