BibSLEIGH — Jianyong

Travelled to:

1 × Australia
1 × Germany
1 × Portugal
1 × United Kingdom
12 × USA
2 × France
3 × Canada
3 × China

Collaborated with:

L.Zhou J.Han J.Feng C.Gao P.Luo M.Wang C.C.Aggarwal W.Shen G.Li W.Zhang W.Feng P.S.Yu G.Karypis J.Pei J.Yin X.Fan Z.Zeng G.Dong Q.Yang K.Gade J.Zhang X.Pu Y.Li J.Wang Y.Zhang Y.Wang Q.Qian L.Jiang N.An A.K.H.Tung B.Lv W.Hu B.C.Ooi N.Ta M.J.Zaki K.Wang Y.Chen B.W.Wah

Talks about:

data (10) base (8) mine (6) structur (5) pattern (5) keyword (5) stream (5) search (5) model (5) framework (4)

Person: Jianyong Wang

DBLP: Wang:Jianyong

Contributed to:

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006

2004

2003

2002

Wrote 32 papers:

KDD-2015-ZhangW #recommendation: A Collective Bayesian Poisson Factorization Model for Cold-start Local Event Recommendation (WZ, JW), pp. 1455–1464.
KDD-2014-YinW #approach #clustering #modelling #multi: A dirichlet multinomial mixture model-based approach for short text clustering (JY, JW), pp. 233–242.
SIGMOD-2014-ShenHW #network #probability #web: A probabilistic model for linking named entities in web text with heterogeneous information networks (WS, JH, JW), pp. 1199–1210.
KDD-2013-ShenWLW #knowledge base #modelling #twitter: Linking named entities in Tweets with knowledge base via user interest modeling (WS, JW, PL, MW), pp. 68–76.
KDD-2013-ZhangWF #recommendation: Combining latent factor model with location features for event-based group recommendation (WZ, JW, WF), pp. 910–918.
CIKM-2012-ShenWLW #approach #graph #ontology: A graph-based approach for ontology population with named entities (WS, JW, PL, MW), pp. 345–354.
KDD-2012-FengW #personalisation #recommendation #social: Incorporating heterogeneous information for personalized tag recommendation in social tagging systems (WF, JW), pp. 1276–1284.
KDD-2012-ShenWLW #knowledge base #named #web: LIEGE: : link entities in web lists with knowledge base (WS, JW, PL, MW), pp. 1424–1432.
KDD-2012-ZhangFWZ #keyword #web: Keyword-propagation-based information enriching and noise removal for web news videos (JZ, XF, JW, LZ), pp. 561–569.
SIGIR-2012-JiangWLAW #alias #approach #detection #learning #similarity #string #towards: Towards alias detection without string similarity: an active learning based approach (LJ, JW, PL, NA, MW), pp. 1155–1156.
CIKM-2011-PuWLW #incremental #named #performance #query #rdf: AWETO: efficient incremental update and querying in rdf storage system (XP, JW, PL, MW), pp. 2445–2448.
CIKM-2010-GaoYW #mining #multi #named #query: SEQUEL: query completion via pattern mining on multi-column structural data (CG, QY, JW), pp. 1955–1956.
KDD-2010-GaoW #mining #nondeterminism: Direct mining of discriminative patterns for classifying uncertain data (CG, JW), pp. 861–870.
CIKM-2009-GaoW #generative #performance: Efficient itemset generator discovery over a stream sliding window (CG, JW), pp. 355–364.
CIKM-2009-LiFW #database #keyword: Structure-aware indexing for keyword search in databases (GL, JF, JW), pp. 1453–1456.
KDD-2009-AggarwalLWW #mining #nondeterminism: Frequent pattern mining with uncertain data (CCA, YL, JW, JW), pp. 29–38.
KDD-2009-ZhangWWZ #community #detection #network #parallel #scalability: Parallel community detection on large networks with propinquity dynamics (YZ, JW, YW, LZ), pp. 997–1006.
VLDB-2009-ZengTWFZ #approximate #distance #edit distance #graph: Comparing Stars: On Approximating Graph Edit Distance (ZZ, AKHT, JW, JF, LZ), pp. 25–36.
CIKM-2008-FanWLZH #effectiveness #framework #graph #named: GHOST: an effective graph-based framework for name distinction (XF, JW, BL, LZ, WH), pp. 1449–1450.
SIGMOD-2008-LiOFWZ #effectiveness #keyword #named: EASE: an effective 3-in-1 keyword search method for unstructured, semi-structured and structured data (GL, BCO, JF, JW, LZ), pp. 903–914.
VLDB-2008-LiFWZ #data flow #effectiveness #keyword: An effective and versatile keyword search engine on heterogenous data sources (GL, JF, JW, LZ), pp. 1452–1455.
CIKM-2007-LiFWZ #documentation #effectiveness #keyword #xml: Effective keyword search for valuable lcas over xml documents (GL, JF, JW, LZ), pp. 31–40.
KDD-2007-AggarwalTWFZ #clustering #documentation #framework #named #xml: Xproj: a framework for projected structural clustering of xml documents (CCA, NT, JW, JF, MJZ), pp. 46–55.
KDD-2006-ZengWZK #clique #database #graph #scalability: Coherent closed quasi-clique discovery from large dense graph databases (ZZ, JW, LZ, GK), pp. 797–802.
SAC-2006-FengQWZ #mining #query #xml: Exploit sequencing to accelerate hot XML query pattern mining (JF, QQ, JW, LZ), pp. 517–524.
KDD-2004-AggarwalHWY #classification #data type #on the: On demand classification of data streams (CCA, JH, JW, PSY), pp. 503–508.
KDD-2004-GadeWK #constraints #mining #performance: Efficient closed pattern mining in the presence of tough block constraints (KG, JW, GK), pp. 138–147.
VLDB-2004-AggarwalHWY #clustering #data type #framework: A Framework for Projected Clustering of High Dimensional Data Streams (CCA, JH, JW, PSY), pp. 852–863.
KDD-2003-WangHP #mining: CLOSET+: searching for the best strategies for mining frequent closed itemsets (JW, JH, JP), pp. 236–245.
VLDB-2003-AggarwalHWY #clustering #data type #evolution #framework: A Framework for Clustering Evolving Data Streams (CCA, JH, JW, PSY), pp. 81–92.
SIGMOD-2002-HanWDPW #named #online: CubeExplorer: online exploration of data cubes (JH, JW, GD, JP, KW), p. 626.
VLDB-2002-ChenHWW #analysis #data type #multi: Multi-Dimensional Regression Analysis of Time-Series Data Streams (YC, GD, JH, BWW, JW), pp. 323–334.