I am currently a Research Scientist in Machine Learning for Business Integrity on Ads, Marketplace, Pages at Facebook.
Previously, I worked at Yahoo! Labs / Yahoo! Research on recommender systems and information retrieval, including (past) projects:
Large Scale User Profiling
Contribution: Implement end-to-end user profile pipeline for Yahoo! Homepage
Impact: +1% lift in the major online metric of Yahoo! Homepage
Related Publication: KDD '15
Large Scale Factorization Models
Large Scale Context-aware Recommendation
Contribution: Implement contextual mobile app recommendation for Yahoo! Aviate
Impact: +100% lift in the major online metric of the product
Social Recommendation
Contribution: Implement user cold-start topic recommendation for Yahoo! Tumblr
Impact: +5% lift in several online metrics of Tumblr
Related Publication: The Apps You Use Bring The Blogs to Follow
Vertical Search and Ranking
Contribution: Built models for Card triggering and In-card Module ranking
Impact: +2% lift in major online metrics for News Card triggering,+5% lift for Movie Card Module ranking
Related Publication: Learning Optimal Card Ranking from Query Reformulation
Video Recommendation
Contribution: Implement personalized model of Playlist recommendation in Yahoo! Video Player
Impact: +20% lift in key online metrics for Player
I received my PhD degree from Delft University of Technology in 2013, under the supervision of Prof. Alan Hanjalic, Dr. Martha Larson, and Prof. Inald Lagendijk. My PhD research is on Recommender Systems, and my thesis "Ranking and Context-awareness in Recommender Systems" is here.
I obtained my BSc degree and MSc degree from Southeast University, China, in 2006 and 2008, respectively.
My research interest includes recommender systems, information retrieval and data mining.