Travelled to:
1 × Australia
1 × Chile
1 × Switzerland
1 × USA
1 × United Kingdom
3 × China
Collaborated with:
H.Liu J.Tang H.Gao T.Chua Z.Li S.Kumar L.Tang Y.Chang S.Wang P.S.Yu K.Wang Z.Ming N.Sun C.Zhang J.Wang W.Chao B.Hu
Talks about:
question (3) knowledg (3) distrust (3) multi (3) recommend (2) microblog (2) predict (2) network (2) social (2) semant (2)
Person: Xia Hu
DBLP: Hu:Xia
Contributed to:
Wrote 11 papers:
- CIKM-2014-TangHCL #interactive #predict
- Predictability of Distrust with Interaction Data (JT, XH, YC, HL), pp. 181–190.
- HT-2014-KumarHL #approach #behaviour #identification #twitter
- A behavior analytics approach to identifying tweets from crisis regions (SK, XH, HL), pp. 255–260.
- HT-2014-TangHL #social #social media #trust
- Is distrust the negation of trust?: the value of distrust in social media (JT, XH, HL), pp. 148–157.
- KDD-2014-WangHYL #multi #named #network
- MMRate: inferring multi-aspect diffusion networks with multi-pattern cascades (SW, XH, PSY, ZL), pp. 1246–1255.
- SIGIR-2014-HuTL #detection #microblog
- Leveraging knowledge across media for spammer detection in microblogging (XH, JT, HL), pp. 547–556.
- RecSys-2013-GaoTHL #network #recommendation #social
- Exploring temporal effects for location recommendation on location-based social networks (HG, JT, XH, HL), pp. 93–100.
- RecSys-2013-TangGHL #overview #predict #rating
- Context-aware review helpfulness rating prediction (JT, HG, XH, HL), pp. 1–8.
- CIKM-2011-HuTL #microblog #semantics #using
- Enhancing accessibility of microblogging messages using semantic knowledge (XH, LT, HL), pp. 2465–2468.
- CIKM-2011-WangHLCH #learning #recommendation
- Learning to recommend questions based on public interest (JW, XH, ZL, WHC, BH), pp. 2029–2032.
- SIGIR-2010-WangMHC #effectiveness #multi #retrieval #segmentation #towards
- Segmentation of multi-sentence questions: towards effective question retrieval in cQA services (KW, ZM, XH, TSC), pp. 387–394.
- CIKM-2009-HuSZC #clustering #semantics #using
- Exploiting internal and external semantics for the clustering of short texts using world knowledge (XH, NS, CZ, TSC), pp. 919–928.