BibSLEIGH — Chris_H_Q

Travelled to:

1 × China
1 × Cyprus
1 × Finland
1 × France
1 × Singapore
1 × Switzerland
14 × USA
2 × Canada
2 × United Kingdom

Collaborated with:

T.Li X.He H.Huang H.Zha D.Kong W.Peng F.Nie D.Luo S.Loscalzo L.Yu H.D.Simon H.Wang D.Wang M.Zhang E.Chen Y.Zhang ∅ C.Dai X.Cai Q.Liu H.Xiong Y.Cai S.Chakravarthy V.Sindhwani B.Shao S.Zhu R.Jin D.Zhou H.Park P.Husbands M.Gu A.Sultana Q.M.Hasan A.K.Biswas S.Das H.Rahman C.Li

Talks about:

cluster (10) factor (7) analysi (6) matrix (6) use (5) nonneg (4) linear (4) featur (4) algorithm (3) knowledg (3)

Person: Chris H. Q. Ding

DBLP: Ding:Chris_H=_Q=

Contributed to:

2013

2012

2011

2010

2009

2008

2007

2006

2004

2002

2001

1999

Wrote 30 papers:

CIKM-2013-ZhangDDC #network #probability #social: Probabilistic solutions of influence propagation on social networks (MZ, CD, CHQD, EC), pp. 429–438.
KDD-2013-CaiQ #analysis #linear #on the #rank: On the equivalent of low-rank linear regressions and linear discriminant analysis based regressions (XC, CHQD, FN, HH), pp. 1124–1132.
CIKM-2012-SultanaHBDRDL #wiki: Infobox suggestion for Wikipedia entities (AS, QMH, AKB, SD, HR, CHQD, CL), pp. 2307–2310.
ICML-2012-KongD #algorithm #linear: An Iterative Locally Linear Embedding Algorithm (DK, CHQD), p. 122.
CIKM-2011-KongDH #matrix #robust #using: Robust nonnegative matrix factorization using L21-norm (DK, CHQD, HH), pp. 673–682.
CIKM-2011-WangHD #clustering #matrix #multi #relational #symmetry: Simultaneous clustering of multi-type relational data via symmetric nonnegative matrix tri-factorization (HW, HH, CHQD), pp. 279–284.
ICML-2011-LuoDNH #graph: Cauchy Graph Embedding (DL, CHQD, FN, HH), pp. 553–560.
SIGIR-2011-WangHND #classification #information management #matrix #using #web: Cross-language web page classification via dual knowledge transfer using nonnegative matrix tri-factorization (HW, HH, FN, CHQD), pp. 933–942.
CIKM-2010-LiuCXD #collaboration #personalisation #ranking: Exploiting user interests for collaborative filtering: interests expansion via personalized ranking (QL, EC, HX, CHQD), pp. 1697–1700.
SIGIR-2010-CaiZDC #algorithm #similarity: Closed form solution of similarity algorithms (YC, MZ, CHQD, SC), pp. 709–710.
SIGIR-2010-WangDL #comprehension #documentation #matrix #set: Feature subset non-negative matrix factorization and its applications to document understanding (DW, CHQD, TL), pp. 805–806.
KDD-2009-LoscalzoYD #feature model: Consensus group stable feature selection (SL, LY, CHQD), pp. 567–576.
SIGIR-2009-LiSDZ #classification #sentiment: Knowledge transformation for cross-domain sentiment classification (TL, VS, CHQD, YZ), pp. 716–717.
KDD-2008-HuangDLL #clustering #equivalence #higher-order: Simultaneous tensor subspace selection and clustering: the equivalence of high order svd and k-means clustering (HH, CHQD, DL, TL), pp. 327–335.
KDD-2008-YuDL #feature model: Stable feature selection via dense feature groups (LY, CHQD, SL), pp. 803–811.
SIGIR-2008-DingLLP #clustering #probability #using: Posterior probabilistic clustering using NMF (CHQD, TL, DL, WP), pp. 831–832.
SIGIR-2008-LiDZS #documentation #word: Knowledge transformation from word space to document space (TL, CHQD, YZ, BS), pp. 187–194.
SIGIR-2008-WangLZD #analysis #matrix #multi #semantics #summary #symmetry: Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization (DW, TL, SZ, CHQD), pp. 307–314.
ICML-2007-DingL #adaptation #analysis #clustering #reduction #using: Adaptive dimension reduction using discriminant analysis and K-means clustering (CHQD, TL), pp. 521–528.
KDD-2007-DingSJL #framework #kernel #learning #recommendation #using: A learning framework using Green’s function and kernel regularization with application to recommender system (CHQD, RJ, TL, HDS), pp. 260–269.
ICML-2006-DingZHZ #analysis #component #invariant #named #robust: R1-PCA: rotational invariant L1-norm principal component analysis for robust subspace factorization (CHQD, DZ, XH, HZ), pp. 281–288.
KDD-2006-DingLPP #clustering #matrix #orthogonal: Orthogonal nonnegative matrix t-factorizations for clustering (CHQD, TL, WP, HP), pp. 126–135.
SIGIR-2006-DingLP #algorithm #equivalence #hybrid: NMF and PLSI: equivalence and a hybrid algorithm (CHQD, TL, WP), pp. 641–642.
ICML-2004-DingH #clustering: Linearized cluster assignment via spectral ordering (CHQD, XH).
ICML-2004-DingH04a #analysis #clustering #component: K-means clustering via principal component analysis (CHQD, XH).
SAC-2004-DingH #clustering #consistency #information management #nearest neighbour #optimisation: K-nearest-neighbor consistency in data clustering: incorporating local information into global optimization (CHQD, XH), pp. 584–589.
SIGIR-2002-DingHHZS #analysis #framework #rank: PageRank, HITS and a unified framework for link analysis (CHQD, XH, PH, HZ, HDS), pp. 353–354.
CIKM-2001-ZhaHDGS #clustering #graph: Bipartite Graph Partitioning and Data Clustering (HZ, XH, CHQD, MG, HDS), pp. 25–32.
KDD-2001-DingHZ #component #graph #web: A spectral method to separate disconnected and nearly-disconnected web graph components (CHQD, XH, HZ), pp. 275–280.
SIGIR-1999-Ding #probability #semantics #similarity: A Similarity-based Probability Model for Latent Semantic Indexing (CHQD), pp. 58–65.