Person: Shenghuo Zhu

DBLP: Zhu:Shenghuo

Contributed to:

2015

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2011

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2002

Wrote 29 papers:

ICML-2015-Yang0JZ #bound #fault #set

An Explicit Sampling Dependent Spectral Error Bound for Column Subset Selection (TY, LZ, RJ, SZ), pp. 135–143.

ICML-2015-Yang0JZ15a #random #reduction

Theory of Dual-sparse Regularized Randomized Reduction (TY, LZ, RJ, SZ), pp. 305–314.

KDD-2014-QianHJPZ #approach #distance #learning #metric #using

Distance metric learning using dropout: a structured regularization approach (QQ, JH, RJ, JP, SZ), pp. 323–332.

ICML-c3-2013-GaoJZZ #optimisation

One-Pass AUC Optimization (WG, RJ, SZ, ZHZ), pp. 906–914.

CIKM-2011-YangZKL #how #learning #question #why

Can irrelevant data help semi-supervised learning, why and how? (HY, SZ, IK, MRL), pp. 937–946.

KDD-2011-YeLZZTGA #detection

Combining file content and file relations for cloud based malware detection (YY, TL, SZ, WZ, ET, UG, MA), pp. 222–230.

CIKM-2010-ChiZ #framework #information management #named

FacetCube: a framework of incorporating prior knowledge into non-negative tensor factorization (YC, SZ), pp. 569–578.

ICPR-2010-GuoZCZG #documentation #learning

Unsupervised Learning from Linked Documents (ZG, SZ, YC, ZZ, YG), pp. 730–733.

CIKM-2009-WangZLG #comparative #documentation #summary

Comparative document summarization via discriminative sentence selection (DW, SZ, TL, YG), pp. 1963–1966.

ICML-2009-YuLZG #collaboration #parametricity #predict #random #scalability #using

Large-scale collaborative prediction using a nonparametric random effects model (KY, JDL, SZ, YG), pp. 1185–1192.

KDD-2009-YangJCZ #approach #community #detection

Combining link and content for community detection: a discriminative approach (TY, RJ, YC, SZ), pp. 927–936.

RecSys-2009-TylerZCZ #categorisation #recommendation

Ordering innovators and laggards for product categorization and recommendation (SKT, SZ, YC, YZ), pp. 29–36.

SIGIR-2009-GuoZCZG #documentation #topic

A latent topic model for linked documents (ZG, SZ, YC, ZZ, YG), pp. 720–721.

SIGIR-2009-YuZLG #collaboration #matrix #parametricity #performance #scalability

Fast nonparametric matrix factorization for large-scale collaborative filtering (KY, SZ, JDL, YG), pp. 211–218.

CIKM-2008-ChiZGZ #personalisation #probability #recommendation

Probabilistic polyadic factorization and its application to personalized recommendation (YC, SZ, YG, YZ), pp. 941–950.

CIKM-2008-WangZLCG #clustering #comprehension #documentation #multi #summary

Integrating clustering and multi-document summarization to improve document understanding (DW, SZ, TL, YC, YG), pp. 1435–1436.

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.

SIGIR-2008-YuZXG #categorisation #design #learning #using

trNon-greedy active learning for text categorization using convex ansductive experimental design (KY, SZ, WX, YG), pp. 635–642.

VLDB-2008-ZhuLCWG #database

Dynamic active probing of helpdesk databases (SZ, TL, ZC, DW, YG), pp. 748–760.

KDD-2007-ChiZSTT #analysis #community

Structural and temporal analysis of the blogosphere through community factorization (YC, SZ, XS, JT, BLT), pp. 163–172.

SIGIR-2007-ZhuYCG #classification #matrix #using

Combining content and link for classification using matrix factorization (SZ, KY, YC, YG), pp. 487–494.

SIGIR-2005-ZhuJXG #classification #multi #using

Multi-labelled classification using maximum entropy method (SZ, XJ, WX, YG), pp. 274–281.

KDD-2004-RusmevichientongZS #identification

Identifying early buyers from purchase data (PR, SZ, DS), pp. 671–677.

CIKM-2003-LiZO #analysis #categorisation #multi #performance

Efficient multi-way text categorization via generalized discriminant analysis (TL, SZ, MO), pp. 317–324.

SAC-2003-LiBKLZ #3d #framework #performance

A Framework of Individually-Focused Teleconferencing (IFT) via an Efficient 3D Reprojection Technique (QL, CB, CK, TL, SZ), pp. 951–955.

SAC-2003-LiZLO #classification #functional #learning #semistructured data

Gene Functional Classification by Semisupervised Learning from Heterogeneous Data (TL, SZ, QL, MO), pp. 78–82.

SAC-2003-LiZO #data mining #distributed #mining #modelling #similarity

A New Distributed Data Mining Model Based on Similarity (TL, SZ, MO), pp. 432–436.

SIGIR-2003-LiZO #generative #linear #topic

Topic hierarchy generation via linear discriminant projection (TL, SZ, MO), pp. 421–422.

SIGIR-2002-LiuGXZ #clustering #documentation #refinement

Document clustering with cluster refinement and model selection capabilities (XL, YG, WX, SZ), pp. 191–198.