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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 DBLP: Wang:Jianyong

Contributed to:

KDD 20152015
KDD 20142014
SIGMOD 20142014
KDD 20132013
CIKM 20122012
KDD 20122012
SIGIR 20122012
CIKM 20112011
CIKM 20102010
KDD 20102010
CIKM 20092009
KDD 20092009
VLDB 20092009
CIKM 20082008
SIGMOD 20082008
VLDB 20082008
CIKM 20072007
KDD 20072007
KDD 20062006
SAC 20062006
KDD 20042004
VLDB 20042004
KDD 20032003
VLDB 20032003
SIGMOD 20022002
VLDB 20022002

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.

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