Jian Zhang

Affiliations:
  • Purdue University, Department of Statistics, West Lafayette, IN, USA
  • Carnegie Mellon University, School of Computer Science, Language Technologies Institute, Pittsburgh, PA, USA (PhD 2006)
  • Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China


According to our database1, Jian Zhang authored at least 25 papers between 2002 and 2012.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2012
Slicing: A New Approach for Privacy Preserving Data Publishing.
IEEE Trans. Knowl. Data Eng., 2012

2011
Multiple Instance Learning on Structured Data.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010
The Group Dantzig Selector.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

2009
Estimation Consistency of the Group Lasso and its Applications.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Slicing: A New Approach to Privacy Preserving Data Publishing
CoRR, 2009

The Entire Quantile Path of a Risk-Agnostic SVM Classifier.
Proceedings of the UAI 2009, 2009

Transfer Learning Using Task-Level Features with Application to Information Retrieval.
Proceedings of the IJCAI 2009, 2009

Blockwise coordinate descent procedures for the multi-task lasso, with applications to neural semantic basis discovery.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Modeling and Integrating Background Knowledge in Data Anonymization.
Proceedings of the 25th International Conference on Data Engineering, 2009

2008
Flexible latent variable models for multi-task learning.
Mach. Learn., 2008

2007
Multi-Class Learning by Smoothed Boosting.
Mach. Learn., 2007

Statistical Translation, Heat Kernels and Expected Distances.
Proceedings of the UAI 2007, 2007

On the value of pairwise constraints in classification and consistency.
Proceedings of the Machine Learning, 2007

2006
A Discriminative Learning Framework with Pairwise Constraints for Video Object Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

2005
Robustness of adaptive filtering methods in a cross-benchmark evaluation.
Proceedings of the SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005

Learning Multiple Related Tasks using Latent Independent Component Analysis.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

A smoothed boosting algorithm using probabilistic output codes.
Proceedings of the Machine Learning, 2005

2004
A Probabilistic Model for Online Document Clustering with Application to Novelty Detection.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Probabilistic score estimation with piecewise logistic regression.
Proceedings of the Machine Learning, 2004

2003
Robustness of regularized linear classification methods in text categorization.
Proceedings of the SIGIR 2003: Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, July 28, 2003

A scalability analysis of classifiers in text categorization.
Proceedings of the SIGIR 2003: Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, July 28, 2003

Modified Logistic Regression: An Approximation to SVM and Its Applications in Large-Scale Text Categorization.
Proceedings of the Machine Learning, 2003

A Faster Iterative Scaling Algorithm for Conditional Exponential Model.
Proceedings of the Machine Learning, 2003

2002
Semantic Computation in a Chinese Question-Answering System.
J. Comput. Sci. Technol., 2002

Topic-conditioned novelty detection.
Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002


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