Di You's Email Addresses & Phone Numbers

Sr. Research Scientist @ Visa Research and develop deep learning/machine learning models to better understand/characterize merchant and cardholder's relationship for a variety of applications such as customer acquisition/retention, merchant recommendation and fraud detection. From March 2016 to February 2017 (1 year) San Francisco Bay AreaModeling Scientist @ Quantcast Advertising optimization, analytics and automation in Real Time Bidding...

Sr. Research Scientist @ Visa Research and develop deep learning/machine learning models to better understand/characterize merchant and cardholder's relationship for a variety of applications such as customer acquisition/retention, merchant recommendation and fraud detection. From March 2016 to February 2017 (1 year) San Francisco Bay AreaModeling Scientist @ Quantcast Advertising optimization, analytics and automation in Real Time Bidding (RTB). From August 2015 to March 2016 (8 months) San Francisco Bay AreaResearch Associate @ The Ohio State University Developed advanced machine learning and pattern recognition algorithms and applied them to machine learning, data mining and computer vision problems. From September 2007 to December 2011 (4 years 4 months) Research Assistant @ Harbin Institute of Technology - Target detection and tracking.- Hyperspectral target detection based on kernel approaches. From September 2005 to July 2007 (1 year 11 months) Harbin, ChinaSenior Scientist, Search and Personalization @ JD.COM - Founding member in JD’s Sillicon Valley office core search team.- Developed and successfully launched the very first deep learning based features in JD.COM search engine. The features characterize user’s preferences to an item’s brand based on similarity between user’s embedding and item’s brand embedding. Developed an innovative CNN based approach to learn item’s brand embedding and the approach is general enough to extend to other entities such as item’s attributes.- Leading the personalized search project, developed and launched GBDT based pairwise ranking model, which improved conversion rate both offline and online, and significantly boosted JD’s annual revenue with improved user experience.- Developed deep learning based approach to improve the query rewrite/suggestion quality.- Received the JD.COM Technology Innovation Award (awarded by CTO) for the contribution to JD’s personalized search in 2018.- Awarded as Quarterly Super Star at JD.COM in 2017. From February 2017 to April 2019 (2 years 3 months) San Francisco Bay AreaPrincipal Staff Research Engineer @ Motorola Research and developing machine learning algorithms for a variety of context aware applications to provide the best personalized experience for Motorola devices. - Lead the research and development of the location learning project which can automatically discover user’s significant places such as Home, Work, etc.- Lead the research and development of the public transportation detection project which detects if a user in public transportation, e.g., train, bus.- Lead the research and development of the driving mode detection project which can predict if a user is in driving mode. Successfully launched the software with team in Google Play Store in 2014 and got excellent reviews. - Developed user segmentation model to discover user segments from device usages in order to identify driving factors for phone return rate and make recommendations to users.- Developed activity recognition system which can even recognize previously unseen new activities by leveraging the state of the art machine learning approaches.- Lead the research and development of an emotion recognition system based on the sensor data collected from mobile device.- Built a music recommender system used in mobile device which is delivered to China with team members. - Developed an Android app which predicts user’s current mood based on sensor data from mobile device. From January 2012 to August 2015 (3 years 8 months) Greater Chicago AreaStaff Software Engineer/Tech Lead, Machine Learning @ Facebook Machine learning/deep learning in feed/comment ranking. San Francisco Bay Area