Two papers accepted by KDD 2018. Congrats to Shangsong and Guolei!

A paper entitled "Dynamic Embeddings for User Profiling in Twitter" (Shangsong as the first author) and another paper entitled "Multi-label Learning with Highly Incomplete Data via Collaborative Embedding" (Guolei co-authored) have been accepted by KDD 2018 for long presentation. KDD is a flagship conference in data mining. This year, a total of 983 papers were submitted to the Research track, of which only 107 were accepted for long presentation and 74 were accepted for a short presentation (2-minute talk in the poster blitz session).

Congrats to Shangsong and Guolei!​