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Travelled to:
1 × Australia
1 × China
1 × United Kingdom
6 × USA
Collaborated with:
L.Liu H.Cheng K.Lee Q.Zhang T.Yang R.Jin D.Buttler J.X.Yu J.Azimi R.Zhang V.Navalpakkam C.Pu M.Mahdavi L.Zhang A.K.Jain W.Tong D.Lo X.Wang X.Yan J.Mao X.Fern H.Cheng R.v.Zwol E.Manavoglu
Talks about:
graph (7) cluster (4) centric (3) heterogen (2) network (2) display (2) classif (2) inform (2) comput (2) label (2)

Person: Yang Zhou

DBLP DBLP: Zhou:Yang

Contributed to:

HPDC 20152015
KDD 20152015
VLDB 20152015
KDD 20142014
KDD 20132013
CIKM 20122012
ICML 20122012
KDD 20122012
KDD 20102010
ISSTA 20092009
VLDB 20092009

Wrote 11 papers:

HPDC-2015-ZhouLLPZ #abstraction #graph #parallel #performance
Fast Iterative Graph Computation with Resource Aware Graph Parallel Abstractions (YZ, LL, KL, CP, QZ), pp. 179–190.
KDD-2015-ZhouLB #analysis #clustering #graph
Integrating Vertex-centric Clustering with Edge-centric Clustering for Meta Path Graph Analysis (YZ, LL, DB), pp. 1563–1572.
VLDB-2015-ZhouLLZ #graph #named #optimisation #performance
GraphTwist: Fast Iterative Graph Computation with Two-tier Optimizations (YZ, LL, KL, QZ), pp. 1262–1273.
KDD-2014-ZhouL #classification #mining #multi #network
Activity-edge centric multi-label classification for mining heterogeneous information networks (YZ, LL), pp. 1276–1285.
KDD-2013-ZhouL #clustering #network #social
Social influence based clustering of heterogeneous information networks (YZ, LL), pp. 338–346.
CIKM-2012-AzimiZZNMF #visual notation
Visual appearance of display ads and its effect on click through rate (JA, RZ, YZ, VN, JM, XF), pp. 495–504.
ICML-2012-YangMJZZ #kernel #learning #multi #probability #programming
Multiple Kernel Learning from Noisy Labels by Stochastic Programming (TY, MM, RJ, LZ, YZ), p. 21.
KDD-2012-ChengZAMZZN #multi #predict
Multimedia features for click prediction of new ads in display advertising (HC, RvZ, JA, EM, RZ, YZ, VN), pp. 777–785.
KDD-2010-YangJJZT #categorisation #classification
Unsupervised transfer classification: application to text categorization (TY, RJ, AKJ, YZ, WT), pp. 1159–1168.
ISSTA-2009-ChengLZWY #debugging #graph #identification #mining #using
Identifying bug signatures using discriminative graph mining (HC, DL, YZ, XW, XY), pp. 141–152.
VLDB-2009-ZhouCY #clustering #graph
Graph Clustering Based on Structural/Attribute Similarities (YZ, HC, JXY), pp. 718–729.
Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.