Large-scale machine learning, data mining and computer vision algorithms design and implementation

Machine Learning Engineer @ From April 2015 to Present (5 months) Redwood CityStaff Relevance and Machine Learning Engineer @ + built recommendation engine that generates recommendations for dozens of millions of users per day including several real-time event-triggered campaigns + built item semantic similarity graph from item catalog information such as name, brand, description, category and image + proposed a robust graph Laplacian smoothing algorithm (RGLS) for CTR prediction + implemented and played with many recommendation algorithms such as item kNN, user kNN, matrix factorization and deep learning From June 2013 to April 2015 (1 year 11 months) San Bruno, CAResearch Assistant @ machine learning, computer vision, statistical modeling From September 2008 to June 2013 (4 years 10 months) Research Staff @ data clustering, feature selection, estimation of distribution algorithms From August 2006 to August 2008 (2 years 1 month)

Doctor of Philosophy (PhD), Computer Science @ UCLA From 2008 to 2013 Master's degree, Computer Science @ Shanghai Jiao Tong University From 2003 to 2006 Yi Hong is skilled in: Machine Learning, Big Data, Deep Learning, Learning Representation, Data Mining, Distance metric learning, Kernel Learning, Feature Selection, Computer Vision, Convex Optimization, Global Optimization, Algorithms, C++, Matlab, JavaScript, Neural Networks, Artificial Intelligence, Hive, Hadoop, Python, Java, R, Apache Pig, Natural Language..., Image Processing