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Travelled to:
1 × Canada
1 × Chile
1 × Cyprus
1 × Italy
1 × Taiwan
1 × United Kingdom
16 × USA
2 × Australia
2 × France
2 × Switzerland
4 × China
Collaborated with:
J.Tang X.Hu L.Tang L.Yu H.Gao F.Morstatter Z.Zhao S.Kumar R.Zafarani R.Setiono N.A.Syed K.K.Sung M.A.Abbasi P.Gundecha J.Zhang J.Ye R.Maciejewski S.Wee S.K.Singhi R.Jin J.Tang X.Wang W.Fan G.Barbier H.Motoda D.P.Makawita K.Tan K.Ng H.Kwah H.Lu J.Pfeffer K.Mayer J.Sampson Y.Chang S.Ranganath Z.Feng A.D.Sarma Z.Nazeri J.Chen G.P.C.Fung J.X.Yu P.S.Yu G.Marshall U.Nambiar J.Wang Y.Chang Liqing Li L.Li Zhenghua Huang Miaoxin Tan R.Cao J.Wu K.Chen T.Wu J.Li R.Patel M.Bae R.Janardan G.E.Alexander E.Reiman
Talks about:
social (13) data (13) select (9) featur (9) network (8) learn (7) media (6) base (6) use (6) locat (5)

Person: Huan Liu

DBLP DBLP: Liu:Huan

Contributed to:

HT 20152015
CIKM 20142014
HT 20142014
KDD 20142014
RecSys 20142014
SIGIR 20142014
HT 20132013
KDD 20132013
RecSys 20132013
CIKM 20122012
KDD 20122012
CIKM 20112011
KDD 20112011
SAC 20112011
SAC 20102010
CIKM 20092009
KDD 20092009
KDD 20082008
ICML 20072007
KDD 20072007
ICML 20062006
KDD 20062006
ICML 20042004
KDD 20042004
ICML 20032003
KDD 20032003
ICML 20022002
CIKM 20002000
KDD 19991999
SIGMOD 19981998
ICML 19961996
VLDB 19951995
CASE 20172017

Wrote 47 papers:

HT-2015-MorstatterPML #statistics #topic
Text, Topics, and Turkers: A Consensus Measure for Statistical Topics (FM, JP, KM, HL), pp. 123–131.
HT-2015-SampsonMML #clustering #keyword #twitter
Surpassing the Limit: Keyword Clustering to Improve Twitter Sample Coverage (JS, FM, RM, HL), pp. 237–245.
CIKM-2014-TangHCL #interactive #predict
Predictability of Distrust with Interaction Data (JT, XH, YC, HL), pp. 181–190.
HT-2014-AbbasiTL #learning #scalability #using
Scalable learning of users’ preferences using networked data (MAA, JT, HL), pp. 4–12.
HT-2014-AbbasiZTL #network #social
Am i more similar to my followers or followees?: analyzing homophily effect in directed social networks (MAA, RZ, JT, HL), pp. 200–205.
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-TangTL #future of #recommendation #social #social media
Recommendation in social media: recent advances and new frontiers (JT, JT, HL), p. 1977.
RecSys-2014-GaoTL #network #personalisation #recommendation #social
Personalized location recommendation on location-based social networks (HG, JT, HL), pp. 399–400.
SIGIR-2014-HuTL #detection #microblog
Leveraging knowledge across media for spammer detection in microblogging (XH, JT, HL), pp. 547–556.
HT-2013-KumarMZL #identification
Whom should I follow?: identifying relevant users during crises (SK, FM, RZ, HL), pp. 139–147.
KDD-2013-GundechaRFL #social #social media
A tool for collecting provenance data in social media (PG, SR, ZF, HL), pp. 1462–1465.
KDD-2013-MorstatterKLM #comprehension #twitter
Understanding Twitter data with TweetXplorer (FM, SK, HL, RM), pp. 1482–1485.
KDD-2013-ZafaraniL #approach #behaviour #social #social media
Connecting users across social media sites: a behavioral-modeling approach (RZ, HL), pp. 41–49.
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-2012-GaoTL #correlation #modelling #named #network #social
gSCorr: modeling geo-social correlations for new check-ins on location-based social networks (HG, JT, HL), pp. 1582–1586.
KDD-2012-KumarMMLN #navigation #twitter
Navigating information facets on twitter (NIF-T) (SK, FM, GM, HL, UN), pp. 1548–1551.
KDD-2012-TangL #feature model #social #social media
Unsupervised feature selection for linked social media data (JT, HL), pp. 904–912.
KDD-2012-TangLGS #comprehension #evolution #named #online #trust
eTrust: understanding trust evolution in an online world (JT, HG, HL, ADS), pp. 253–261.
CIKM-2011-HuTL #microblog #semantics #using
Enhancing accessibility of microblogging messages using semantic knowledge (XH, LT, HL), pp. 2465–2468.
CIKM-2011-WangLF #network
Connecting users with similar interests via tag network inference (XW, HL, WF), pp. 1019–1024.
KDD-2011-GundechaBL #network #privacy #social
Exploiting vulnerability to secure user privacy on a social networking site (PG, GB, HL), pp. 511–519.
SAC-2011-Liu #agile #configuration management #using
Rapid application configuration in Amazon cloud using configurable virtual appliances (HL), pp. 147–154.
SAC-2010-WeeL #using
Client-side load balancer using cloud (SW, HL), pp. 399–405.
CIKM-2009-TangL #behaviour #learning #scalability #social
Scalable learning of collective behavior based on sparse social dimensions (LT, HL), pp. 1107–1116.
KDD-2009-TangL #learning #relational #social
Relational learning via latent social dimensions (LT, HL), pp. 817–826.
KDD-2008-TangLZN #community #evolution #multi #network
Community evolution in dynamic multi-mode networks (LT, HL, JZ, ZN), pp. 677–685.
KDD-2008-YeCWLZPBJLAR #data fusion #semistructured data
Heterogeneous data fusion for alzheimer’s disease study (JY, KC, TW, JL, ZZ, RP, MB, RJ, HL, GEA, ER), pp. 1025–1033.
KDD-2008-ZhaoWLYC #data flow #identification #multi #semistructured data
Identifying biologically relevant genes via multiple heterogeneous data sources (ZZ, JW, HL, JY, YC), pp. 839–847.
ICML-2007-ZhaoL #feature model #learning
Spectral feature selection for supervised and unsupervised learning (ZZ, HL), pp. 1151–1157.
KDD-2007-ChenZYL #adaptation #clustering #distance #learning #metric
Nonlinear adaptive distance metric learning for clustering (JC, ZZ, JY, HL), pp. 123–132.
KDD-2007-FungYLY
Time-dependent event hierarchy construction (GPCF, JXY, HL, PSY), pp. 300–309.
ICML-2006-SinghiL #bias #classification #learning #set
Feature subset selection bias for classification learning (SKS, HL), pp. 849–856.
KDD-2006-TangZL #classification #data-driven #semantics #taxonomy
Acclimatizing taxonomic semantics for hierarchical content classification from semantics to data-driven taxonomy (LT, JZ, HL), pp. 384–393.
ICML-2004-JinL #induction #robust
Robust feature induction for support vector machines (RJ, HL).
KDD-2004-YuL #array #feature model
Redundancy based feature selection for microarray data (LY, HL), pp. 737–742.
ICML-2003-YuL #feature model #performance
Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution (LY, HL), pp. 856–863.
KDD-2003-YuL
Efficiently handling feature redundancy in high-dimensional data (LY, HL), pp. 685–690.
ICML-2002-LiuMY #feature model
Feature Selection with Selective Sampling (HL, HM, LY), pp. 395–402.
CIKM-2000-MakawitaTL #database #using
Sampling from Databases Using B+-Trees (DPM, KLT, HL), pp. 158–164.
KDD-1999-SyedLS #case study #independence
A Study of Support Vectors on Model Independent Example Selection (NAS, HL, KKS), pp. 272–276.
KDD-1999-SyedLS99a #concept #incremental #learning
Handling Concept Drifts in Incremental Learning with Support Vector Machines (NAS, HL, KKS), pp. 317–321.
SIGMOD-1998-NgLK #data mining #mining
A Data Mining Application: Customes Retention at the Port of Singapore Authority (PSA) (KN, HL, HK), pp. 522–525.
ICML-1996-LiuS #approach #feature model #probability
A Probabilistic Approach to Feature Selection — A Filter Solution (HL, RS), pp. 319–327.
VLDB-1995-LuSL #approach #data mining #mining #named
NeuroRule: A Connectionist Approach to Data Mining (HL, RS, HL), pp. 478–489.
CASE-2017-LiLHTCLW #analysis #using
The mechanism analysis of bipolar vessel sealing in vitro using EDM model (LL, LL, ZH, MT, RC, HL, JW), pp. 813–818.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
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