BibSLEIGH — Fei

Travelled to:

1 × France
1 × Germany
1 × India
2 × Canada
2 × China
2 × United Kingdom
6 × USA

Collaborated with:

L.K.Saul K.Q.Weinberger K.Grauman M.Chen Z.E.Xu Y.Shi G.Gardarin B.Gong S.J.Hwang Z.Kang C.Cheng N.N.Dalvi P.Bohannon J.Nilsson M.I.Jordan Z.Tang W.Chao J.Solomon D.Michels G.V.Steeg A.Galstyan S.DeDeo Y.Bengio J.Wang K.Sun S.Marchand-Maillet A.Kalousis L.Bouganim T.Chan-Sine-Ying T.Dang-Ngoc J.Darroux

Talks about:

learn (6) domain (4) nonlinear (3) reduct (3) margin (3) model (3) adapt (3) unsupervis (2) represent (2) discrimin (2)

Person: Fei Sha

DBLP: Sha:Fei

Contributed to:

2015

2014

2013

2012

2011

2009

2007

2005

2004

1999

1996

Wrote 17 papers:

ICML-2015-ChaoSMS #exponential #integration #monte carlo: Exponential Integration for Hamiltonian Monte Carlo (WLC, JS, DM, FS), pp. 1142–1151.
ICML-c1-2014-SteegGSD #clustering: Demystifying Information-Theoretic Clustering (GVS, AG, FS, SD), pp. 19–27.
ICML-c2-2014-ChenWSB: Marginalized Denoising Auto-encoders for Nonlinear Representations (MC, KQW, FS, YB), pp. 1476–1484.
ICML-c2-2014-WangSSMK #learning #metric: Two-Stage Metric Learning (JW, KS, FS, SMM, AK), pp. 370–378.
ICML-c1-2013-GongGS #adaptation #invariant #learning: Connecting the Dots with Landmarks: Discriminatively Learning Domain-Invariant Features for Unsupervised Domain Adaptation (BG, KG, FS), pp. 222–230.
ICML-c3-2013-HwangGS #categorisation #semantics #visual notation: Analogy-preserving Semantic Embedding for Visual Object Categorization (SJH, KG, FS), pp. 639–647.
CIKM-2012-XuCWS #representation: From sBoW to dCoT marginalized encoders for text representation (ZEX, MC, KQW, FS), pp. 1879–1884.
ICML-2012-ChenXWS #adaptation: Marginalized Denoising Autoencoders for Domain Adaptation (MC, ZEX, KQW, FS), p. 212.
ICML-2012-ShiS #adaptation #clustering #learning: Information-Theoretical Learning of Discriminative Clusters for Unsupervised Domain Adaptation (YS, FS), p. 166.
ICML-2011-KangGS #learning #multi: Learning with Whom to Share in Multi-task Feature Learning (ZK, KG, FS), pp. 521–528.
ICML-2009-ChengSS #markov #matrix #modelling: Matrix updates for perceptron training of continuous density hidden Markov models (CCC, FS, LKS), pp. 153–160.
SIGMOD-2009-DalviBS #approach #probability #robust #web: Robust web extraction: an approach based on a probabilistic tree-edit model (NND, PB, FS), pp. 335–348.
ICML-2007-NilssonSJ #kernel #reduction #using: Regression on manifolds using kernel dimension reduction (JN, FS, MIJ), pp. 697–704.
ICML-2005-ShaS #analysis #reduction: Analysis and extension of spectral methods for nonlinear dimensionality reduction (FS, LKS), pp. 784–791.
ICML-2004-WeinbergerSS #kernel #learning #matrix #reduction: Learning a kernel matrix for nonlinear dimensionality reduction (KQW, FS, LKS).
VLDB-1999-BouganimCDDGS #data flow #data type #multi #semistructured data #web: Miro Web: Integrating Multiple Data Sources through Semistructured Data Types (LB, TCSY, TTDN, JLD, GG, FS), pp. 750–753.
VLDB-1996-GardarinST #cost analysis #database #object-oriented #query: Calibrating the Query Optimizer Cost Model of IRO-DB, an Object-Oriented Federated Database System (GG, FS, ZHT), pp. 378–389.