Welcome to the Homepage of Shipeng Yu ( )

I join Computer-Aided Diagnosis group in Siemens Medical Solutions USA, Inc. since Nov. 2006.
I obtained my Ph.D. degree from University of Munich with distinction in Sep. 2006.

[About Me]    [Research Interests]    [Selected Publications]   [Contact Me]

Friends: Kai Yu    Deng Cai

About Me

I am a Staff Scientist in Siemens Medical Solutions USA, Inc. since November 2006. Before moving to US, I was doing my Ph.D. (2003 to 2006) in Institute for Computer Science, University of Munich (LMU) in Munich, Germany, supervised by Prof. Dr. Hans-Peter Kriegel and Dr. Volker Tresp (Siemens AG). This was funded by a Siemens doctoral scholarship. I got my M. Sc. and B. Sc. from Department of Information Science, School of Mathematical Sciences at Peking University, P. R. China.

Here is my CV (html, pdf).

Research Interests

• Statistical Machine Learning, Probabilistic Modeling, Gaussian Processes

• Bayesian Clustering, Dimensionality Reduction, Supervised Projection

• Multi-View Learning, Multi-Task Learning, Semi-Supervised Learning

• Document Modeling, Collaborative Filtering, Ranking, Information Retrieval and Extraction

• Medical Data Mining, Personalized Medicine and Therapy Planning

Selected Publications

• An Improved Multi-task Learning Approach with Applications in Medical Diagnosis.
  Jinbo Bi, Tao Xiong, Shipeng Yu, Murat Dundar, and R. Bharat Rao.
  To appear in the 19th European Conference on Machine Learning (ECML'2008), 2008.
  
• Probabilistic Interpretations and Extensions for a Family of 2D PCA-style Algorithms. PDF
  Shipeng Yu, Jinbo Bi, and Jieping Ye.
  In the KDD'2008 Workshop on Data Mining using Matrices and Tensors, 2008.
  
• Statistical Modeling of Medical Indexing Processes for Biomedical Knowledge Information Discovery from Text. PDF
  Markus Bundschus, Mathaeus Dejori, Shipeng Yu, Volker Tresp, and Hans-Peter Kriegel.
  In the KDD'2008 Workshop on Data Mining in Bioinformatics (BIOKDD), 2008.
  
• Nonparametric Relational Learning for Social Network Analysis. PDF
  Zhao Xu, Volker Tresp, Shipeng Yu, and Kai Yu.
  In the KDD'2008 Workshop on Social Network Mining and Analysis , 2008.
  
• Privacy-Preserving Cox Regression for Survival Analysis. PDF
  Shipeng Yu, Glenn Fung, Romer Rosales, Sriram Krishnan, R. Bharat Rao, Cary Dehing-Oberije, and Philippe Lambin.
  In the 14th ACM International Conference on Knowledge Discovery and Data Mining (KDD'2008), 2008.
  
• Extracting Shared Subspaces for Multi-label Classification.
  Shuiwang Ji, Lei Tang, Shipeng Yu, and Jieping Ye.
  In the 14th ACM International Conference on Knowledge Discovery and Data Mining (KDD'2008), 2008.
  
• Large Scale Code Classification for Medical Patient Records. PDF
  Lucian Lita, Shipeng Yu, Stefan Niculescu, and Jinbo Bi.
  In the 3rd International Joint Conference on Natural Language Processing (IJCNLP'2008), 2008.
  
• Bayesian Co-Training. PDF
  Shipeng Yu, Balaji Krishnapuram, Romer Rosales, Harald Steck, and R. Bharat Rao.
  Spotlight in Advances in Neural Information Processing Systems 20 (NIPS'2007), 2007.
  
• Automatic Medical Coding of Patient Records via Weighted Ridge Regression. PDF
  Jianwu Xu, Shipeng Yu, Jinbo Bi, Lucian Lita, Stefan Niculescu, and R. Bharat Rao.
  In the 6th International Conference on Machine Learning and Applications (ICMLA'2007), 2007.
  
• Fast Inference in Infinite Hidden Relational Models. PDF
  Zhao Xu, Volker Tresp, Shipeng Yu, Kai Yu, and Hans-Peter Kriegel.
  In the 5th International Workshop on Mining and Learning with Graphs (MLG’2007), Florence, Italy, 2007.
  
• Robust Multi-Task learning with t-Processes. PDF
  Shipeng Yu, Volker Tresp, and Kai Yu.
  In the 24th International Conference on Machine Learning (ICML'2007), Corvallis, OR, 2007.
  
• Local Learning Projections. PDF
  Mingrui Wu, Kai Yu, Shipeng Yu, and Bernhard Schölkopf.
  In the 24th International Conference on Machine Learning (ICML'2007), Corvallis, OR, 2007.
  
• Stochastic Relational Models for Discriminative Link Prediction. PDF
  Kai Yu, Wei Chu, Shipeng Yu, Volker Tresp, and Zhao Xu.
  To appear in Advances in Neural Information Processing Systems 19 (NIPS'2006), 2006.
  
• Multi-Output Regularized Feature Projection. Link
  Shipeng Yu, Kai Yu, Volker Tresp, and Hans-Peter Kriegel.
  In IEEE Transactions on Knowledge and Data Engineering, 18 (22),  pp. 1600-1613,  December 2006.
  
• Variational Bayesian Dirichlet-Multinomial Allocation for Exponential Family Mixtures. PDF  Poster
  Shipeng Yu, Kai Yu, Volker Tresp, and Hans-Peter Kriegel.
  In the 17th European Conference on Machine Learning (ECML’2006), 2006.
• Advanced Probabilistic Models for Clustering and Projection. PDF  Slides
  Shipeng Yu.
  Ph.D. Thesis, University of Munich, September 2006.
• Supervised Probabilistic Principal Component Analysis. PDF  Slides
  Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel, and Mingrui Wu.
  In the 12th ACM International Conference on Knowledge Discovery and Data Mining (KDD’2006), 2006.
• Collaborative Ordinal Regression. PDF  Slides
  Shipeng Yu, Kai Yu, Volker Tresp, and Hans-Peter Kriegel.
  In the 23rd International Conference on Machine Learning (ICML'2006), 2006.
• Soft Clustering on Graphs. PDF  Poster
  Kai Yu, Shipeng Yu, and Volker Tresp.
  In Advances in Neural Information Processing Systems 18 (NIPS'2005), 2005.
• Collaborative Ordinal Regression. PDF
  Shipeng Yu, Kai Yu, and Volker Tresp.
  In Learning to Rank, Workshop in Neural Information Processing Systems 18 (NIPS'2005), 2005.
• Hierarchy-Regularized Latent Semantic Indexing. PDF
  Yi Huang, Kai Yu, Matthias Schubert, Shipeng Yu, and Hans-Peter Kriegel.
  In the 5th IEEE International Conference on Data Mining (ICDM'2005), 2005.
• A Probabilistic Clustering-Projection Model for Discrete Data. PDF  Slides
  Shipeng Yu, Kai Yu, Volker Tresp, and Hans-Peter Kriegel.
  In the 9th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'2005), 2005.
  Best Paper Runner-Up / Best Student Paper Runner-Up
• Blockwise Supervised Inference on Large Graphs. PDF
  Kai Yu, Shipeng Yu, and Volker Tresp.
  In the Proceedings of Workshop on Learning with Partially Classified Training Data at the 22nd International Conference on Machine Learning (ICML'2005), 2005.
• Dirichlet Enhanced Relational Learning. PDF
  Zhao Xu, Volker Tresp, Kai Yu, Shipeng Yu, and Hans-Peter Kriegel.
  In the 22nd International Conference on Machine Learning (ICML'2005), 2005.
• Multi-Label Informed Latent Semantic Indexing. PDF  Slides
  Kai Yu, Shipeng Yu, and Volker Tresp.
  In the 28th Annual International ACM SIGIR Conference (SIGIR'2005), 2005.
• Multi-Output Regularized Projection. PDF  Slides
  Kai Yu, Shipeng Yu, and Volker Tresp.
  In the International IEEE Conference on Computer Vision and Pattern Recognition (CVPR’2005), 2005.
• Dirichlet Enhanced Latent Semantic Analysis. PDF  Poster
  Kai Yu, Shipeng Yu, and Volker Tresp.
  In the Tenth International Workshop on Artificial Intelligence and Statistics (AISTATS'2005), 2005.
• A Nonparametric Hierarchical Bayesian Framework for Information Filtering. PDF
  Kai Yu, Volker Tresp, and Shipeng Yu.
  In the 27th Annual International ACM SIGIR Conference (SIGIR'2004), 2004.
• Block-based Web Search. PDF  Slides
  Deng Cai, Shipeng Yu, Ji-Rong Wen, and Wei-Ying Ma.
  In the 27th Annual International ACM SIGIR Conference (SIGIR'2004), 2004.
• Microsoft Research Asia at The Web Track of TREC 2003. PDF
  Ji-Rong Wen, Ruihua Song, Deng Cai, Kaihua Zhu, Shipeng Yu, Shaozhi Ye, and Wei-Ying Ma.
  In the Twelfth Text Retrieval Conference (TREC'12), 2003.
• VIPS: a vision-based page segmentation algorithm. Demo
  Deng Cai, Shipeng Yu, Ji-Rong Wen, and Wei-Ying Ma.
  Microsoft Technical Report, MSR-TR-2003-79, 2003.
• Research on Theory and Application of Role-Based Access Control (in Chinese). PDF  MS Word  Slides
  Shipeng Yu.
  Master Thesis, Peking University, June 2003.
• Improving Pseudo-Relevance Feedback in Web Information Retrieval Using Web Page Segmentation. PDF  XHTML
  Shipeng Yu, Deng Cai, Ji-Rong Wen, and Wei-Ying Ma.
  In the Twelfth International World Wide Web Conference (WWW'2003). Also as Microsoft Technical Report, MSR-TR-2002-124, 2003.
• Extracting Content Structure for Web Pages based on Visual Representation. PDF
  Deng Cai, Shipeng Yu, Ji-Rong Wen, and Wei-Ying Ma.
  In the Fifth Asia Pacific Web Conference (APWeb'2003), 2003.
• Design and Implementation of TYGXC System (in Chinese). PDF
  Shipeng Yu.
  Undergraduate Thesis, Peking University, June 2000.

Contact Me

Tel: +1-610-448-4420 (work) 
URL: http://www.dbs.ifi.lmu.de/~spyu/ 
Email: firstname.lastname@siemens.com (work), firstname.lastname@gmail.com (personal)
 

Last modified: Aug 4, 2008