BibSLEIGH — Jing

Travelled to:

1 × Australia
2 × China
2 × France
6 × USA

Collaborated with:

J.Han W.Fan B.Zhao Q.Li Y.Sun Y.Li A.Zhang X.Li L.Su H.Cheng P.Tan P.S.Yu X.Jia N.Du L.Ge M.Gupta J.Jiang S.Zhi H.Ji S.Xie D.S.Turaga H.Li L.Yang R.K.Srihari F.Liang C.Wang W.Tong D.Yu M.Demirbas K.Zhang H.Cheng X.Yan O.Verscheure F.Ma M.Qiu

Talks about:

truth (7) discoveri (6) communiti (4) outlier (4) model (4) detect (3) sourc (3) data (3) crowdsourc (2) heterogen (2)

Person: Jing Gao

DBLP: Gao:Jing

Contributed to:

2015

2014

2013

2012

2010

2009

2008

2006

Wrote 16 papers:

KDD-2015-LiLGSZFH #evolution #on the: On the Discovery of Evolving Truth (YL, QL, JG, LS, BZ, WF, JH), pp. 675–684.
KDD-2015-MaLLQGZSZJH #crowdsourcing #fine-grained #named: FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation (FM, YL, QL, MQ, JG, SZ, LS, BZ, HJ, JH), pp. 745–754.
KDD-2015-ZhiZTGYJH #modelling: Modeling Truth Existence in Truth Discovery (SZ, BZ, WT, JG, DY, HJ, JH), pp. 1543–1552.
VLDB-2015-GaoLZFH #crowdsourcing #perspective: Truth Discovery and Crowdsourcing Aggregation: A Unified Perspective (JG, QL, BZ, WF, JH), pp. 2048–2059.
VLDB-2015-LiLGSZDFH14 #approach: A Confidence-Aware Approach for Truth Discovery on Long-Tail Data (QL, YL, JG, LS, BZ, MD, WF, JH), pp. 425–436.
CIKM-2014-JiaDGZ #analysis #community #network: Analysis on Community Variational Trend in Dynamic Networks (XJ, ND, JG, AZ), pp. 151–160.
KDD-2014-XieGFTY: Class-distribution regularized consensus maximization for alleviating overfitting in model combination (SX, JG, WF, DST, PSY), pp. 303–312.
SIGMOD-2014-LiLGZFH #estimation #reliability #semistructured data: Resolving conflicts in heterogeneous data by truth discovery and source reliability estimation (QL, YL, JG, BZ, WF, JH), pp. 1187–1198.
CIKM-2013-LiGLYS #framework #multimodal: A multimodal framework for unsupervised feature fusion (XL, JG, HL, LY, RKS), pp. 897–902.
KDD-2013-GeGLZ #estimation #learning #multi: Multi-source deep learning for information trustworthiness estimation (LG, JG, XL, AZ), pp. 766–774.
KDD-2012-GuptaGSH #community #detection #mining: Integrating community matching and outlier detection for mining evolutionary community outliers (MG, JG, YS, JH), pp. 859–867.
KDD-2010-GaoLFWSH #community #detection #network #on the #performance: On community outliers and their efficient detection in information networks (JG, FL, WF, CW, YS, JH), pp. 813–822.
KDD-2009-GaoFSH #learning: Heterogeneous source consensus learning via decision propagation and negotiation (JG, WF, YS, JH), pp. 339–348.
KDD-2008-FanZCGYHYV #mining #modelling: Direct mining of discriminative and essential frequent patterns via model-based search tree (WF, KZ, HC, JG, XY, JH, PSY, OV), pp. 230–238.
KDD-2008-GaoFJH #information management #multi: Knowledge transfer via multiple model local structure mapping (JG, WF, JJ, JH), pp. 283–291.
SAC-2006-GaoCT #detection: Semi-supervised outlier detection (JG, HC, PNT), pp. 635–636.