BibSLEIGH — Jimeng

Travelled to:

1 × Australia
1 × Canada
1 × France
1 × Germany
1 × Japan
1 × Korea
1 × Norway
1 × Turkey
2 × China
8 × USA

Collaborated with:

C.Faloutsos J.Tang J.Hu S.Papadimitriou F.Wang N.Anerousis H.Tong S.Wu C.K.Reddy J.Ghosh S.Ebadollahi C.Zhai P.S.Yu J.C.Ho C.Boutsidis T.G.Kolda D.Tao E.Hoke Y.Tao D.Papadias P.Sondhi H.Su D.M.Sow C.Wang Z.Yang N.Lee U.Kang C.Lin D.Zhang A.Bose C.Tan Q.Lin F.Wang J.Zhou Z.Lu L.Yuan J.Ye Y.Lin P.Castro R.B.Konuru H.Sundaram A.Kelliher G.Miao Z.Guan L.E.Moser X.Yan S.Tao L.Xiang Q.Yuan S.Zhao L.Chen X.Zhang Q.Yang Y.Wang R.Chen J.C.Denny A.N.Kho Y.Chen B.A.Malin

Talks about:

graph (10) larg (6) mine (5) tensor (4) tempor (4) factor (4) data (4) discoveri (3) analysi (3) stream (3)

Person: Jimeng Sun

DBLP: Sun:Jimeng

Contributed to:

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006

2005

2003

Wrote 25 papers:

KDD-2015-WangCGDKCMS #data analysis #health #named: Rubik: Knowledge Guided Tensor Factorization and Completion for Health Data Analytics (YW, RC, JG, JCD, ANK, YC, BAM, JS), pp. 1265–1274.
KDD-2014-HoGS #health #named: Marble: high-throughput phenotyping from electronic health records via sparse nonnegative tensor factorization (JCH, JG, JS), pp. 115–124.
KDD-2013-SunR #big data #data analysis: Big data analytics for healthcare (JS, CKR), p. 1525.
KDD-2013-TangWS #confluence #named #network #scalability #social: Confluence: conformity influence in large social networks (JT, SW, JS), pp. 347–355.
KDD-2013-ZhouLSYWY #identification #named: FeaFiner: biomarker identification from medical data through feature generalization and selection (JZ, ZL, JS, LY, FW, JY), pp. 1034–1042.
ICPR-2012-0001HS #feedback #similarity: Medical prognosis based on patient similarity and expert feedback (FW, JH, JS), pp. 1799–1802.
KDD-2012-0001LHSE #approach #towards: Towards heterogeneous temporal clinical event pattern discovery: a convolutional approach (FW, NL, JH, JS, SE), pp. 453–461.
KDD-2012-MiaoGMYTAS #analysis #documentation: Latent association analysis of document pairs (GM, ZG, LEM, XY, ST, NA, JS), pp. 1415–1423.
KDD-2012-SondhiSTZ #framework #graph #mining #named: SympGraph: a framework for mining clinical notes through symptom relation graphs (PS, JS, HT, CZ), pp. 1167–1175.
KDD-2012-TangWSS #collaboration #recommendation: Cross-domain collaboration recommendation (JT, SW, JS, HS), pp. 1285–1293.
KDD-2011-KangTSLF #graph #named #scalability: GBASE: a scalable and general graph management system (UK, HT, JS, CYL, CF), pp. 1091–1099.
CIKM-2010-ZhangSZBA #documentation #mining #named #parallel #probability #topic: PTM: probabilistic topic mapping model for mining parallel document collections (DZ, JS, CZ, AB, NA), pp. 1653–1656.
ICPR-2010-SunSHE #learning #locality #metric: Localized Supervised Metric Learning on Temporal Physiological Data (JS, DMS, JH, SE), pp. 4149–4152.
KDD-2010-TanTSLW #graph #social: Social action tracking via noise tolerant time-varying factor graphs (CT, JT, JS, QL, FW), pp. 1049–1058.
KDD-2010-XiangYZCZYS #graph #recommendation: Temporal recommendation on graphs via long- and short-term preference fusion (LX, QY, SZ, LC, XZ, QY, JS), pp. 723–732.
KDD-2009-LinSCKSK #community #named #relational: MetaFac: community discovery via relational hypergraph factorization (YRL, JS, PC, RBK, HS, AK), pp. 527–536.
KDD-2009-TangSWY #analysis #network #scalability #social: Social influence analysis in large-scale networks (JT, JS, CW, ZY), pp. 807–816.
CIKM-2008-BoutsidisSA #clustering #metric #set: Clustered subset selection and its applications on it service metrics (CB, JS, NA), pp. 599–608.
KDD-2008-TongPSYF #graph #mining #named #performance #scalability: Colibri: fast mining of large static and dynamic graphs (HT, SP, JS, PSY, CF), pp. 686–694.
KDD-2007-SunFPY #graph #mining #named #scalability: GraphScope: parameter-free mining of large time-evolving graphs (JS, CF, SP, PSY), pp. 687–696.
SIGMOD-2007-FaloutsosKS #graph #matrix #mining #scalability #tool support #using: Mining large graphs and streams using matrix and tensor tools (CF, TGK, JS), p. 1174.
KDD-2006-SunTF #analysis #graph: Beyond streams and graphs: dynamic tensor analysis (JS, DT, CF), pp. 374–383.
VLDB-2006-HokeSF #clustering #monitoring #named #scalability: InteMon: Intelligent System Monitoring on Large Clusters (EH, JS, CF), pp. 1239–1242.
VLDB-2005-PapadimitriouSF #multi #streaming: Streaming Pattern Discovery in Multiple Time-Series (SP, JS, CF), pp. 697–708.
VLDB-2003-PapadiasTS #predict #query: The TPR*-Tree: An Optimized Spatio-Temporal Access Method for Predictive Queries (YT, DP, JS), pp. 790–801.