Kai Yu's Home Page

Ph.D, University of Munich, Germany, July, 2004

I am a researcher in NEC Laboratories America at Cupertino in California. Before joining NEC Labs, I was a senior research scientist at Siemens Corporate Technology at the beautiful city Munich in Germany. I obtained my Ph.D in computer science from University of Munich (LMU), supervised by Prof. Hans-Peter Kriegel and Dr. Volker Tresp (Siemens AG), and received the B.Sc and M.Sc degrees both in electrical engineering from Nanjing University, China, in 1998 and 2000 respectively.

[Research Interests] [Research Links] [Publications] [Resume] [Contact Me] [Yan] [Friends]

Updates:

·        See photos of my son, born on June 28, 2007 

·        2 papers get in NIPS-07, September 4, 2007 

·        2 papers accepted by ICML-07, and 1 paper accepted by SIGIR-07, May 21, 2007 

·        NIPS06 paper and the data sets used in our experiments are now online available, Dec. 11, 2006 

·        I joined in NEC Labs America in October, 2006.

·        Photos from a vacation in the beautiful Greek island Santorini, May, 2006

 

Research Interests

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·        Statistic machine learning, Bayesian probabilistic models, Gaussian Processes

·        Collaborative filtering, user modeling

·        Learning from relations

·        Multi-task learning

·        Text and web mining, data mining, and information retrieval

 

Professional Activities

 

Reviewer

·         Journals: Journal of Machine Learning Research, IEEE Transactions on Neural Networks, IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Internet Technology, Pattern Recognition Letter

·         Conferences: NIPS (06, 07, 08), ICML (07, 08), SIGIR (05, 06, 07, 08), ECML (06), PKDD (06), PRICAI (08), ICMLA (08) 

·         Externally reviewed: NIPS (04, 05), ICML (04, 05), ICCV (04), …

 

Program Committee Member

·        International SIGIR 2007 Workshop on Learning to Rank for Information Retrieval

·        International Conference on Machine Learning (ICML 07, 08)

·        International ACM SIGIR Conference, (SIGIR 06, 07, 08)

·        International ACM Conference on Information and Knowledge Management (CIKM 08)

·        Pacific Rim International Conference on Artificial Intelligence (PRICAI 08)

·        European Conference on Machine Learning, (ECML 06)

·        European Conference on Principles and Practice of Knowledge Discovery in Databases, (PKDD 06)

·        International Workshop on Nonparametric Bayesian Methods at ICML 06

 

Selected Publications [complete list]

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2008

·        Training Hierarchical Feed-forward Visual Recognition Models Using Transfer Learning from Pseudo Tasks

A. Ahmed, K. Yu, W. Xu, and Y. Gong

To appear in The 10th European Conference on Computer Vision, (ECCV 08)

Oral Presentation, Accept rate < 5%  

 

·        Feature Selection for Gene Expression using Model-based Entropy

S. Zhu, D. Wang, K. Yu, T Li, and Y. Gong.

To appear in IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2008

 

·       Non-greedy Active Learning for Text Categorization using Convex Transductive Experimental Design [pdf]

K. Yu, S. Zhu, W. Xu, and Y. Gong

To appear in Proceedings of the 31st Annual International ACM SIGIR Conference (SIGIR 08)

 

·       Learning Multiple Graphs for Document Recommendations [pdf]

D. Zhou, S. Zhu, K. Yu, X. Song, B. Tseng, H. Zha, and C.L. Giles

Proceedings of the 17th International World Wide Web Conference (WWW08)

 

·       Gaussian Process Models for Link Analysis and Transfer Learning [pdf]

K. Yu and W. Chu

Advances in Neural Information Processing Systems 20 (NIPS)

 

·       Predictive Matrix-Variate t Models [pdf]

S. Zhu, K. Yu and Y. Gong

Advances in Neural Information Processing Systems 20 (NIPS)

 

 

2007

·       Robust Multi-Task Learning with t-Processes [pdf]

S. Yu, V. Tresp, K. Yu, and B. Rao

Proceedings of the 24th International Conference on Machine Learning (ICML 2007)

 

·       Local Learning Projection [pdf]

M. Wu, K. Yu, S. Yu, and B. Schölkopf

Proceedings of the 24th International Conference on Machine Learning (ICML 2007)

 

·       Combining Contents and Links for Classification using Matrix Factorization [pdf]

S. Zhu, K. Yu, Y. Chi, and Y. Gong

Proceedings of the 30th Annual International ACM SIGIR Conference (SIGIR 2007)

 

·       Stochastic Relational Models for Discriminative Link Prediction [pdf] [data]

K. Yu, W. Chu, S. Yu, V. Tresp,  and Z. Xu

Advances in Neural Information Processing Systems 19 (NIPS),

(Eds.) B. Schölkopf, J. C. Platt and T. Hofmann, MIT Press, Cambridge, MA USA, 2007

 

 

2006

·       Multi-Output Regularized Feature Projection [Link]

S. Yu, K. Yu, V. Tresp, and H.-P. Kriegel.
IEEE Transactions on Knowledge and Data Engineering (TKDE),

18 (22), pp. 1600-1613,  December 2006.

 

·       Variational  Bayesian Dirichlet-Multinomial Allocation for Exponential Family Mixtures 

S. Yu, K. Yu, and V. Tresp, 

Proceedings of the 17th European Conference on Machine Learning  (ECML 2006), 2006  

 

·       Supervised Probabilistic Principal Component Analysis [pdf] 

S. Yu, K. Yu, V. Tresp, H.-P. Kriegel,  and M. Wu

Proceedings of the 12th International Conference on Knowledge Discovery and Data Mining (SIGKDD 2006), 2006 

(Acceptance Rate <11%)

 

·       Infinite Hidden Relational Models [pdf]

Z. Xu, V. Tresp, K. Yu, and H.-P. Kriegel, 

Proceedings of the 22nd International Conference on Uncertainty in Artificial Intelligence (UAI 2006), 2006 

 

·       Active Learning via Transductive Experimental Design [pdf] [matlab code & data] 

K. Yu, J. Bi, and V. Tresp, 

Proceedings of the 23rd  International Conference on Machine Learning (ICML 2006), 2006 

 

·       Collaborative Ordinal Regression [pdf]

S. Yu, K. Yu, and V. Tresp, 

Proceedings of the 23rd  International Conference on Machine Learning (ICML 2006), 2006

 

·       Soft Clustering on Graphs [pdf]

K. Yu, S. Yu, and V. Tresp, 

Advances in Neural Information Processing Systems 18 (NIPS),

(Eds.) Y. Weiss, B. Schölkopf, and J. Platt, MIT Press, Cambridge, MA USA, 2006

 

 

2005

·       Learning to Learn and Collaborative Filtering [pdf]

K. Yu and V. Tresp, 

Workshop on Inductive Transfer: 10 Years Later (NIPS*05 Workshop),

Whistler, Canada, Dec. 2005

 

·       A Probabilistic Clustering-Projection Model for Discrete Data  [pdf]

S. Yu, K. Yu, V. Tresp, and H.-P. Kriegel, 

Proceedings of the 9th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD 2005),

Porto, Portugal, October 3-7, 2005. (Best Paper Runner-up Award)

 

·       Learning Gaussian Processes from Multiple Tasks [pdf] [slides]

K. Yu, V. Tresp, and A. Schwaighofer,  

Proceedings of the 22nd International Conference on Machine Learning (ICML 2005),

Bonn, Germany, 7-11 August, 2005

 

·       Dirichlet Enhanced Probabilistic Relational Model  [pdf]

Z. Xu, V. Tresp, K. Yu, S. Yu, and H. P. Kriegel,  

Proceedings of the 22nd International Conference on Machine Learning (ICML 2005),

Bonn, Germany, 7-11 August, 2005

 

·       Blockwise Supervised Inference on Large Graphs [pdf]

     K. Yu, S. Yu, and V. Tresp,  

Workshop on Learning with Partially Classified Training Data (ICML 2005 Workshop),

at the 22nd International Conference on Machine Learning, Bonn, Germany, 7-11 August, 2005

 

·       Multi-Output Regularized Projection  [pdf]

K. Yu, S. Yu, and V. Tresp, 

Proceedings of International IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2005),

San Diego, CA, USA,  June 20-26, 2005.

 

·       Learning Gaussian Process Kernels via Hierarchical Bayes  [pdf]

     A. Schwaighofer, V. Tresp, and K. Yu,  

Advances in Neural Information Processing Systems 17 (NIPS).

(Eds.) Saul, L.K., Y. Weiss and L. Bottou, MIT Press, Cambridge, MA, USA, 2005.

 

·       Dirichlet Enhanced Latent Semantic Analysis  [pdf]

K. Yu, S. Yu, and V. Tresp, 

Proceedings of Artificial Intelligence & Statistics (AISTATS 2005),

Barbados, January 6-8, 2005.

 

·      Multi-Label Informed Latent Semantic Indexing  [pdf]

K. Yu, S. Yu, and V. Tresp, 

Proceedings of the 28th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2005),

August 15-19, 2005, in Salvador, Brazil.

 

2004

·       A Nonparametric Hierarchical Bayesian Framework for Information Filtering  [pdf]

K. Yu, V. Tresp, and S. Yu, 

Proceedings of the 27th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2004),

Sheffield, UK, July 25 - 29, 2004.

 

·       An introduction to nonparametric hierarchical Bayesian modelling with a focus on multi-agent learning [pdf]

            V. Tresp and K. Yu.

      book chapter, Switching and Learning in Feedback Systems. Springer, 2004.

 

·       Probabilistic Memory-Based Collaborative Filtering [draft]

            K. Yu, A. Schwaighofer, V. Tresp, X. Xu, H.-P. Kriegel

     IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol.16, No.1, pp. 56--69, 2004.

 

2003

·       Approximate Solutions to Nonparametric Bayesian Hierarchical Modelling with Applications to Information Filtering [link]

            V. Tresp, K. Yu, A. Schwaighofer,

     Nonparametric Bayesian Methods and Infinite Models, (NIPS*03 Workshop),

     Vancouver, Dec. 2003.

 

·       Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes [pdf]

            K. Yu, A. Schwaighofer, V. Tresp, W.-Y. Ma, H.J. Zhang,

     Proceedings of the 19th International Conference on Uncertainty in Artificial Intelligence (UAI 2003),

     Acapulco, Mexico, August 7-10, 2003. (Plenary oral presentation, 11% accepted)

 

·       Knowing a Tree from the Forest: Art Image Retrieval using a Society of Profiles [pdf]

            K. Yu, W.-Y. Ma, V. Tresp, Z. Xu, X. He, H.J. Zhang and H.-P. Kriegel,

     Proceedings of the 11th Annual ACM International Conference on Multimedia (ACM Multimedia 2003),

     Berkeley, CA, USA, November 2-8, 2003.

Contact Me

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Email:      kyu (at) sv dot nec-labs dot com,          kai.yu(at)gmx dot net,      kai.yu.cool (at) googlemail

Tel:          +1 408 863 6022

Fax:         +1 408 863 6099

  • Last updated July 17, 2008