I am a machine learning researcher and engineer in the bay area. I currently work at the Display Ads Quality team in Google. Prior to joining Google, I was in the Feed Relevance team at LinkedIn. I developed several features into LinkedIn feed ranking models that significantly improved the user engagement on LinkedIn feeds. Some parts of my old work are summarized in the blog "Making Your Feed More Relevant": part1 part2.

I received Ph.D. in School of Computing and Information Sciences in Florida International University under the supervision of Prof. Tao Li. In the Ph.D. study, I worked on the areas of recommender systems and event mining, and published more than 20 research papers on top machine learning conferences and journals including ACM SIGKDD, SIGIR, CIKM, ICDM, RecSys and TKDE. I also had 2 summer internships in IBM T.J. Watson Research Center (supervised by Larisa Shwartz) and 1 summer internship in LinkedIn.

My Curriculum Vitae is available upon request.


Research Interest

Broadly interested in data and information analysis including data mining, machine learning and information retrieval techniques. More specifically, I focus on user modeling and personalization in recommender systems, online advertising, multi-arm bandit algorithms, event mining that discovers and summarizes the hidden relations of the event data, streaming data, time series data and textual data. The summary of my work in event mining can be found in ACM KDD 2017 tutorial System Event Mining: Algorithms and Applications: video1,video2.


Professional Service

PC member of the 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2018).
PC member of the 23rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2017).
Invited Reviewer of ACM Transactions on Social Computing.
Invited Reviewer of ACM Transactions on Knowledge Discovery From Data (TKDD).
Invited Reviewer of IEEE Transactions on Knowledge and Data Engineering (TKDE).
Invited Reviewer of IEEE Transactions on Emerging Topics in Computing (TETC).
Invited Reviewer of Data and Knowledge Engineering (DKE).
Invited Reviewer of Knowledge and Information Systems(KAIS).
PC member of the 24th ACM International Conference on Information and Knowledge Management (CIKM 2015).
PC member of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2015).
PC member of the IEEE International Conference on Services Computing 2014, 2015 and 2016.
Session Chair of ``Data Streams and Ranking" in ACM CIKM 2013.
PC member of the 10th IEEE International Conference on Machine Learning and Applications (ICMLA 2011).


Recent Publication



2016.5 Our paper "An Empirical Study on Recommendation with Multiple Types of Feedback" has been accepted in ACM KDD 2016.

2015.8 Our book "Event Mining: Algorithms and Applications" has been officially announced.

2015.7 Our book "Maximizing Management Performance and Quality with Service Analytics" has been officially announced.

2015.4 Our paper entitled "Personalized Recommendation via Parameter-Free Contextual Bandits" has been accepted for oral presentation and inclusion in the proceedings of the 2015 ACM SIGIR Conference.


Last Updated: 2018-02-17