BibSLEIGH — Byron_J

Travelled to:

1 × United Kingdom
3 × China
5 × USA

Collaborated with:

S.Wang Z.Chen Q.Kang D.Buttler D.C.Anastasiu J.Sun J.Ma M.Ester D.C.Anastasiu L.Yao Q.Z.Sheng A.H.H.Ngu K.Wang H.W.Lauw M.Xia W.Cai O.L.Griffith S.J.M.Jones S.Wang G.Cao Y.Yin F.Chen A.Doan J.Yang R.Ramakrishnan J.Cai O.Schulte H.Xiong P.Zhang J.Li P.Wang X.Zhu L.Guo

Talks about:

data (5) cluster (4) search (4) framework (3) collabor (3) inform (3) rank (3) base (3) problem (2) result (2)

Person: Byron J. Gao

DBLP: Gao:Byron_J=

Contributed to:

2014

2012

2011

2009

2007

2006

Wrote 14 papers:

CIKM-2014-YaoSNG #internet: Keeping You in the Loop: Enabling Web-based Things Management in the Internet of Things (LY, QZS, AHHN, BJG), pp. 2027–2029.
CIKM-2012-ChenGK #framework #named: Cager: a framework for cross-page search (ZC, BJG, QK), pp. 2704–2706.
CIKM-2012-GaoCK #graph #keyword #scalability: Information-complete and redundancy-free keyword search over large data graphs (BJG, ZC, QK), pp. 2639–2642.
CIKM-2012-SunWGM #hybrid #learning #rank #recommendation: Learning to rank for hybrid recommendation (JS, SW, BJG, JM), pp. 2239–2242.
CIKM-2012-WangGWCY #algorithm #evolution #framework #novel: Polygene-based evolution: a novel framework for evolutionary algorithms (SW, BJG, SW, GC, YY), pp. 2263–2266.
CIKM-2012-WangSGM #adaptation #collaboration: Adapting vector space model to ranking-based collaborative filtering (SW, JS, BJG, JM), pp. 1487–1491.
CIKM-2011-AnastasiuGB #clustering #collaboration #framework #personalisation: A framework for personalized and collaborative clustering of search results (DCA, BJG, DB), pp. 573–582.
KDD-2011-ZhangLWGZG #data type #modelling #performance #predict: Enabling fast prediction for ensemble models on data streams (PZ, JL, PW, BJG, XZ, LG), pp. 177–185.
SIGIR-2011-AnastasiuGB #clustering #collaboration #named #personalisation: ClusteringWiki: personalized and collaborative clustering of search results (DCA, BJG, DB), pp. 1263–1264.
SIGIR-2011-WangGWL #information retrieval #learning #parallel #rank: Parallel learning to rank for information retrieval (SW, BJG, KW, HWL), pp. 1083–1084.
CIKM-2009-GaoXCA #monitoring #problem #web: The gardener’s problem for web information monitoring (BJG, MX, WC, DCA), pp. 1525–1528.
SIGMOD-2009-ChenGDYR #evolution #optimisation #source code: Optimizing complex extraction programs over evolving text data (FC, BJG, AD, JY, RR), pp. 321–334.
KDD-2007-GaoESCX #consistency #data mining #mining #problem #set: The minimum consistent subset cover problem and its applications in data mining (BJG, ME, JyC, OS, HX), pp. 310–319.
KDD-2006-GaoGEJ #clustering: Discovering significant OPSM subspace clusters in massive gene expression data (BJG, OLG, ME, SJMJ), pp. 922–928.