Yu, Shipeng

22 publications

JMLR 2016 Multiplicative Multitask Feature Learning Xin Wang, Jinbo Bi, Shipeng Yu, Jiangwen Sun, Minghu Song

NeurIPS 2014 On Multiplicative Multitask Feature Learning Xin Wang, Jinbo Bi, Shipeng Yu, Jiangwen Sun

JMLR 2012 Eliminating Spammers and Ranking Annotators for Crowdsourced Labeling Tasks Vikas C. Raykar, Shipeng Yu

JMLR 2011 Bayesian Co-Training Shipeng Yu, Balaji Krishnapuram, Rómer Rosales, R. Bharat Rao

NeurIPS 2011 Ranking Annotators for Crowdsourced Labeling Tasks Vikas C. Raykar, Shipeng Yu

JMLR 2010 Learning from Crowds Vikas C. Raykar, Shipeng Yu, Linda H. Zhao, Gerardo Hermosillo Valadez, Charles Florin, Luca Bogoni, Linda Moy

AISTATS 2009 Active Sensing Shipeng Yu, Balaji Krishnapuram, Romer Rosales, R. Bharat Rao

ICCV 2009 Hierarchical Learning for Tubular Structure Parsing in Medical Imaging: A Study on Coronary Arteries Using 3D CT Angiography Le Lu, Jinbo Bi, Shipeng Yu, Zhigang Peng, Arun Krishnan, Xiang Sean Zhou

IJCAI 2009 Multiclass Probabilistic Kernel Discriminant Analysis Zheng Zhao, Liang Sun, Shipeng Yu, Huan Liu, Jieping Ye

IJCAI 2009 On the Equivalence Between Canonical Correlation Analysis and Orthonormalized Partial Least Squares Liang Sun, Shuiwang Ji, Shipeng Yu, Jieping Ye

ICML 2009 Supervised Learning from Multiple Experts: Whom to Trust When Everyone Lies a Bit Vikas C. Raykar, Shipeng Yu, Linda H. Zhao, Anna K. Jerebko, Charles Florin, Gerardo Hermosillo Valadez, Luca Bogoni, Linda Moy

ECML-PKDD 2008 An Improved Multi-Task Learning Approach with Applications in Medical Diagnosis Jinbo Bi, Tao Xiong, Shipeng Yu, Murat Dundar, R. Bharat Rao

NeurIPS 2007 Bayesian Co-Training Shipeng Yu, Balaji Krishnapuram, Harald Steck, R. B. Rao, Rómer Rosales

ICML 2007 Local Learning Projections Mingrui Wu, Kai Yu, Shipeng Yu, Bernhard Schölkopf

ICML 2007 Robust Multi-Task Learning with T-Processes Shipeng Yu, Volker Tresp, Kai Yu

ICML 2006 Collaborative Ordinal Regression Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel

NeurIPS 2006 Stochastic Relational Models for Discriminative Link Prediction Kai Yu, Wei Chu, Shipeng Yu, Volker Tresp, Zhao Xu

ECML-PKDD 2006 Variational Bayesian Dirichlet-Multinomial Allocation for Exponential Family Mixtures Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel

AISTATS 2005 Dirichlet Enhanced Latent Semantic Analysis Kai Yu, Shipeng Yu, Volker Tresp

ICML 2005 Dirichlet Enhanced Relational Learning Zhao Xu, Volker Tresp, Kai Yu, Shipeng Yu, Hans-Peter Kriegel

CVPR 2005 Multi-Output Regularized Projection Kai Yu, Shipeng Yu, Volker Tresp

NeurIPS 2005 Soft Clustering on Graphs Kai Yu, Shipeng Yu, Volker Tresp