BibSLEIGH — Hwanjo

Travelled to:

1 × Australia
1 × France
1 × Greece
1 × Korea
1 × United Kingdom
2 × Canada
2 × China
7 × USA

Collaborated with:

J.Oh W.Han J.Han S.Kim S.Hwang J.Kim X.Jiang ∅ T.Kim I.Ko S.Lee K.Park Y.Kim S.Na J.Vaidya C.Zhai J.Yang K.C.Chang S.Park T.Qin T.Liu B.Lee J.Kim J.Lee Y.Moon Y.Kim N.A.Vien N.H.Viet T.Chung B.H.Cho J.Lee M.Kim

Talks about:

rank (6) use (5) graph (4) data (4) svm (4) parallel (3) retriev (3) search (3) med (3) nonlinear (2)

Person: Hwanjo Yu

DBLP: Yu:Hwanjo

Contributed to:

2015

2014

2013

2012

2011

2010

2009

2007

2006

2005

2003

2002

Wrote 20 papers:

KDD-2015-OhHYJ #matrix #parallel #performance #robust: Fast and Robust Parallel SGD Matrix Factorization (JO, WSH, HY, XJ), pp. 865–874.
SIGMOD-2014-KimHLPY #framework #graph #named #parallel #scalability: OPT: a new framework for overlapped and parallel triangulation in large-scale graphs (JK, WSH, SL, KP, HY), pp. 637–648.
KDD-2013-HanLPL0KY #graph #named #parallel #performance: TurboGraph: a fast parallel graph engine handling billion-scale graphs in a single PC (WSH, SL, KP, JHL, MSK, JK, HY), pp. 77–85.
CIKM-2012-OhY #framework #named: iSampling: framework for developing sampling methods considering user’s interest (JO, HY), pp. 1667–1671.
KDD-2012-KimKY #named #retrieval #video: GeoSearch: georeferenced video retrieval system (YK, JK, HY), pp. 1540–1543.
KDD-2012-OhKPY #network #realtime #semantics: PubMed search and exploration with real-time semantic network construction (JO, TK, SP, HY), pp. 1572–1575.
CIKM-2011-KimQYL #approach #behaviour: Advertiser-centric approach to understand user click behavior in sponsored search (SK, TQ, HY, TYL), pp. 2121–2124.
KDD-2011-LeeOYK #privacy #semantics #using: Protecting location privacy using location semantics (BL, JO, HY, JK), pp. 1289–1297.
SIGMOD-2011-HanLMHY #approach #sequence: A new approach for processing ranked subsequence matching based on ranked union (WSH, JL, YSM, SwH, HY), pp. 457–468.
SIGMOD-2011-YuKKHH: Exact indexing for support vector machines (HY, IK, YK, SwH, WSH), pp. 709–720.
CIKM-2010-YuKN #named #question: RankSVR: can preference data help regression? (HY, SK, SHN), pp. 879–888.
CIKM-2009-VienVCYKC #kernel #locality #named #using #visualisation: VRIFA: a nonlinear SVM visualization tool using nomogram and localized radial basis function (LRBF) kernels (NAV, NHV, TC, HY, SK, BHC), pp. 2081–2082.
CIKM-2009-YuKOKK #feedback #named #retrieval: RefMed: relevance feedback retrieval system fo PubMed (HY, TK, JO, IK, SK), pp. 2099–2100.
CIKM-2009-YuOH #performance #ranking: Efficient feature weighting methods for ranking (HY, JO, WSH), pp. 1157–1166.
SAC-2007-HwangY #mining #ranking: Mining and processing category ranking (SwH, HY), pp. 441–442.
SAC-2006-YuJV #kernel #privacy #using: Privacy-preserving SVM using nonlinear kernels on horizontally partitioned data (HY, XJ, JV), pp. 603–610.
KDD-2005-Yu #ranking #retrieval: SVM selective sampling for ranking with application to data retrieval (HY), pp. 354–363.
CIKM-2003-YuZH #classification #documentation: Text classification from positive and unlabeled documents (HY, CZ, JH), pp. 232–239.
KDD-2003-YuYH #clustering #scalability #set #using: Classifying large data sets using SVMs with hierarchical clusters (HY, JY, JH), pp. 306–315.
KDD-2002-YuHC #classification #learning #named #using #web: PEBL: positive example based learning for Web page classification using SVM (HY, JH, KCCC), pp. 239–248.