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 short presentation (2 minute talk in the poster blitz session). Congrats to Shangsong and Guolei!​