| * | 2009 |
|---|
| 27 | EE | Vikas C. Raykar,
Shipeng Yu,
Linda H. Zhao,
Anna K. Jerebko,
Charles Florin,
Gerardo Hermosillo Valadez,
Luca Bogoni,
Linda Moy:
Supervised learning from multiple experts: whom to trust when everyone lies a bit.
ICML 2009: 112 |
| 26 | EE | Liang Sun,
Shuiwang Ji,
Shipeng Yu,
Jieping Ye:
On the Equivalence between Canonical Correlation Analysis and Orthonormalized Partial Least Squares.
IJCAI 2009: 1230-1235 |
| 25 | EE | Zheng Zhao,
Liang Sun,
Shipeng Yu,
Huan Liu,
Jieping Ye:
Multiclass Probabilistic Kernel Discriminant Analysis.
IJCAI 2009: 1363-1368 |
| 2008 |
|---|
| 24 | EE | Jinbo Bi,
Tao Xiong,
Shipeng Yu,
Murat Dundar,
R. Bharat Rao:
An Improved Multi-task Learning Approach with Applications in Medical Diagnosis.
ECML/PKDD (1) 2008: 117-132 |
| 23 | EE | Shipeng Yu,
Glenn Fung,
Rómer Rosales,
Sriram Krishnan,
R. Bharat Rao,
Cary Dehing-Oberije,
Philippe Lambin:
Privacy-preserving cox regression for survival analysis.
KDD 2008: 1034-1042 |
| 22 | EE | Shuiwang Ji,
Lei Tang,
Shipeng Yu,
Jieping Ye:
Extracting shared subspace for multi-label classification.
KDD 2008: 381-389 |
| 2007 |
|---|
| 21 | EE | Mingrui Wu,
Kai Yu,
Shipeng Yu,
Bernhard Schölkopf:
Local learning projections.
ICML 2007: 1039-1046 |
| 20 | EE | Shipeng Yu,
Volker Tresp,
Kai Yu:
Robust multi-task learning with t-processes.
ICML 2007: 1103-1110 |
| 19 | EE | Zhao Xu,
Volker Tresp,
Shipeng Yu,
Kai Yu,
Hans-Peter Kriegel:
Fast Inference in Infinite Hidden Relational Models.
MLG 2007 |
| 18 | EE | Shipeng Yu,
Balaji Krishnapuram,
Rómer Rosales,
Harald Steck,
R. Bharat Rao:
Bayesian Co-Training.
NIPS 2007 |
| 2006 |
|---|
| 17 | EE | Shipeng Yu,
Kai Yu,
Volker Tresp,
Hans-Peter Kriegel:
Variational Bayesian Dirichlet-Multinomial Allocation for Exponential Family Mixtures.
ECML 2006: 841-848 |
| 16 | EE | Shipeng Yu,
Kai Yu,
Volker Tresp,
Hans-Peter Kriegel:
Collaborative ordinal regression.
ICML 2006: 1089-1096 |
| 15 | EE | Shipeng Yu,
Kai Yu,
Volker Tresp,
Hans-Peter Kriegel,
Mingrui Wu:
Supervised probabilistic principal component analysis.
KDD 2006: 464-473 |
| 14 | EE | Kai Yu,
Wei Chu,
Shipeng Yu,
Volker Tresp,
Zhao Xu:
Stochastic Relational Models for Discriminative Link Prediction.
NIPS 2006: 1553-1560 |
| 13 | EE | Shipeng Yu,
Kai Yu,
Volker Tresp,
Hans-Peter Kriegel:
Multi-Output Regularized Feature Projection.
IEEE Trans. Knowl. Data Eng. 18(12): 1600-1613 (2006) |
| 2005 |
|---|
| 12 | EE | Kai Yu,
Shipeng Yu,
Volker Tresp:
Multi-Output Regularized Projection.
CVPR (2) 2005: 597-602 |
| 11 | EE | Yi Huang,
Kai Yu,
Matthias Schubert,
Shipeng Yu,
Volker Tresp,
Hans-Peter Kriegel:
Hierarchy-Regularized Latent Semantic Indexing.
ICDM 2005: 178-185 |
| 10 | EE | Zhao Xu,
Volker Tresp,
Kai Yu,
Shipeng Yu,
Hans-Peter Kriegel:
Dirichlet enhanced relational learning.
ICML 2005: 1004-1011 |
| 9 | EE | Shipeng Yu,
Kai Yu,
Volker Tresp:
Soft Clustering on Graphs.
NIPS 2005 |
| 8 | EE | Shipeng Yu,
Kai Yu,
Volker Tresp,
Hans-Peter Kriegel:
A Probabilistic Clustering-Projection Model for Discrete Data.
PKDD 2005: 417-428 |
| 7 | EE | Kai Yu,
Shipeng Yu,
Volker Tresp:
Multi-label informed latent semantic indexing.
SIGIR 2005: 258-265 |
| 2004 |
|---|
| 6 | | Kai Yu,
Shipeng Yu,
Volker Tresp:
Dirichlet Enhanced Latent Semantic Analysis.
LWA 2004: 221-226 |
| 5 | EE | Kai Yu,
Volker Tresp,
Shipeng Yu:
A nonparametric hierarchical bayesian framework for information filtering.
SIGIR 2004: 353-360 |
| 4 | EE | Deng Cai,
Shipeng Yu,
Ji-Rong Wen,
Wei-Ying Ma:
Block-based web search.
SIGIR 2004: 456-463 |
| 2003 |
|---|
| 3 | EE | Deng Cai,
Shipeng Yu,
Ji-Rong Wen,
Wei-Ying Ma:
Extracting Content Structure for Web Pages Based on Visual Representation.
APWeb 2003: 406-417 |
| 2 | EE | Ji-Rong Wen,
Ruihua Song,
Deng Cai,
Kaihua Zhu,
Shipeng Yu,
Shaozhi Ye,
Wei-Ying Ma:
Microsoft Research Asia at the Web Track of TREC 2003.
TREC 2003: 408-417 |
| 1 | EE | Shipeng Yu,
Deng Cai,
Ji-Rong Wen,
Wei-Ying Ma:
Improving pseudo-relevance feedback in web information retrieval using web page segmentation.
WWW 2003: 11-18 |
