BibSLEIGH — Heng

Travelled to:

1 × Australia
1 × United Kingdom
2 × China
7 × USA

Collaborated with:

F.Nie C.H.Q.Ding H.Wang D.Luo Y.Huang J.Yuan X.Wang D.Wang D.Kong H.Gao L.Yan W.Cai X.Cai J.Huang Y.Tu T.Li M.Liu L.Lu X.Ye S.Yu L.Shen F.Makedon S.Zhang M.Greenberg L.Gao J.D.Pearlman

Talks about:

cluster (7) learn (5) robust (4) multi (4) simultan (3) nonneg (3) matrix (3) linear (3) factor (3) discrimin (2)

Person: Heng Huang

DBLP: Huang:Heng

Contributed to:

2015

2014

2013

2012

2011

2008

2005

Wrote 17 papers:

KDD-2015-GaoYCH #integration #learning #multi #visual notation: Anatomical Annotations for Drosophila Gene Expression Patterns via Multi-Dimensional Visual Descriptors Integration: Multi-Dimensional Feature Learning (HG, LY, WC, HH), pp. 339–348.
ICML-c2-2014-NieHH #linear: Linear Time Solver for Primal SVM (FN, YH, HH), pp. 505–513.
ICML-c2-2014-NieYH #analysis #component #robust: Optimal Mean Robust Principal Component Analysis (FN, JY, HH), pp. 1062–1070.
ICML-c2-2014-WangNH #distance #learning #metric #robust: Robust Distance Metric Learning via Simultaneous L1-Norm Minimization and Maximization (HW, FN, HH), pp. 1836–1844.
KDD-2014-NieWH #adaptation #clustering: Clustering and projected clustering with adaptive neighbors (FN, XW, HH), pp. 977–986.
KDD-2014-WangNH #adaptation #induction #learning #scalability: Large-scale adaptive semi-supervised learning via unified inductive and transductive model (DW, FN, HH), pp. 482–491.
ICML-c3-2013-WangNH #learning #robust #self: Robust and Discriminative Self-Taught Learning (HW, FN, HH), pp. 298–306.
ICML-c3-2013-WangNH13a #clustering #learning #multi: Multi-View Clustering and Feature Learning via Structured Sparsity (HW, FN, HH), pp. 352–360.
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-HuangNHT #network #predict #social #trust: Trust prediction via aggregating heterogeneous social networks (JH, FN, HH, YCT), pp. 1774–1778.
CIKM-2011-KongDH #matrix #robust #using: Robust nonnegative matrix factorization using L21-norm (DK, CHQD, HH), pp. 673–682.
CIKM-2011-LuLYYH #classification #modelling #parametricity: Coarse-to-fine classification via parametric and nonparametric models for computer-aided diagnosis (ML, LL, XY, SY, HH), pp. 2509–2512.
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.
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.
SAC-2005-HuangSMZGGP #approach #clustering #predict: A clustering-based approach for prediction of cardiac resynchronization therapy (HH, LS, FM, SZ, MG, LG, JDP), pp. 260–266.