Travelled to:1 × China
2 × Australia
2 × USA
Collaborated with:J.Han C.Wang A.El-Kishky J.Liu X.Yu U.Khandelwal Q.Gu F.Tao B.Norick Y.Sun J.Shang C.R.Voss L.Wang B.Sturt G.Brova H.Ji
Talks about:network (4) phrase (3) inform (3) type (3) recommend (2) recognit (2) corpora (2) cluster (2) automat (2) massiv (2)
Person: Xiang Ren
DBLP: Ren:Xiang
Contributed to:
2015
201520142014
2013Wrote 6 papers:
- KDD-2015-RenEWH #approach #automation #corpus #mining #network #recognition #type system
- Automatic Entity Recognition and Typing from Massive Text Corpora: A Phrase and Network Mining Approach (XR, AEK, CW, JH), pp. 2319–2320.
- KDD-2015-RenEWTVH #clustering #effectiveness #named #recognition #type system
- ClusType: Effective Entity Recognition and Typing by Relation Phrase-Based Clustering (XR, AEK, CW, FT, CRV, JH), pp. 995–1004.
- SIGMOD-2015-LiuSWRH #corpus #mining #quality
- Mining Quality Phrases from Massive Text Corpora (JL, JS, CW, XR, JH), pp. 1729–1744.
- KDD-2014-RenLYKGWH #clustering #effectiveness #named #recommendation
- ClusCite: effective citation recommendation by information network-based clustering (XR, JL, XY, UK, QG, LW, JH), pp. 821–830.
- SIGMOD-2014-TaoBHJWNELRS #automation #named #network
- NewsNetExplorer: automatic construction and exploration of news information networks (FT, GB, JH, HJ, CW, BN, AEK, JL, XR, YS), pp. 1091–1094.
- RecSys-2013-YuRSSKGNH #feedback #network #recommendation
- Recommendation in heterogeneous information networks with implicit user feedback (XY, XR, YS, BS, UK, QG, BN, JH), pp. 347–350.