Hector Yee
Hector Yee is a research engineer at Google since January 2007.
He earned his MS in computer graphics from Cornell University in 2000. He spent a few years in the computer games and feature animation industry working on hit movies such as Shrek before moving on to do machine learning at Google.
Hector Yee's interests are in statistical machine learning and its applications, particularly to text, video, images and more recently recommendation systems.
http://www.linkedin.com/profile/view?id=1937667&trk=tab_pro
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Google
Community search signatures as foundation features for human-centered geospatial modeling
Chaitanya Kamath
Mohit Agarwal
David Schottlander
Shailesh Bavadekar
Niv Efron
Shravya Shetty
ICML 2024 Workshop on Data-Centric Machine Learning Research
General Geospatial Inference with a Population Dynamics Foundation Model
Chaitanya Kamath
Prithul Sarker
Joydeep Paul
Yael Mayer
Sheila de Guia
Jamie McPike
Adam Boulanger
David Schottlander
Yao Xiao
Manjit Chakravarthy Manukonda
Monica Bharel
Von Nguyen
Luke Barrington
Niv Efron
Krish Eswaran
Shravya Shetty
(2024) (to appear)
Scalable and accurate deep learning for electronic health records
Alvin Rishi Rajkomar
Eyal Oren
Nissan Hajaj
Mila Hardt
Peter J. Liu
Xiaobing Liu
Jake Marcus
Patrik Per Sundberg
Kun Zhang
Yi Zhang
Gerardo Flores
Gavin Duggan
Jamie Irvine
Kurt Litsch
Alex Mossin
Justin Jesada Tansuwan
De Wang
Dana Ludwig
Samuel Volchenboum
Kat Chou
Michael Pearson
Srinivasan Madabushi
Nigam Shah
Atul Butte
npj Digital Medicine (2018)
Learning to Rank Recommendations with the k-Order Statistic Loss
Jason Weston
ACM International Conference on Recommender Systems (RecSys) (2013)
Nonlinear Latent Factorization by Embedding Multiple User Interests
Jason Weston
ACM International Conference on Recommender Systems (RecSys) (2013)
