Jian Zhang

Publication Activity (10 Years)

Years Active: 2002-2012
Publications (10 Years): 0

Top Topics

Nearest Neighbor

Privacy Preserving Data Publishing

Data Publishing

Statistical Approaches

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Joshua V. Dillon, Yi Mao, Guy Lebanon, Jian Zhang
Statistical Translation, Heat Kernels and Expected Distances CoRR (2012)
Tiancheng Li, Ninghui Li, Jian Zhang, Ian M. Molloy
Slicing: A New Approach for Privacy Preserving Data Publishing. IEEE Trans. Knowl. Data Eng. 24 (3) (2012)
Dan Zhang, Yan Liu, Luo Si, Jian Zhang, Richard D. Lawrence
Multiple Instance Learning on Structured Data. NIPS (2011)
Han Liu, Jian Zhang, Xiaoye Jiang, Jun Liu
The Group Dantzig Selector. AISTATS (2010)
Tiancheng Li, Ninghui Li, Jian Zhang, Ian M. Molloy
Slicing: A New Approach to Privacy Preserving Data Publishing CoRR (2009)
Rong Yan, Jian Zhang
Transfer Learning Using Task-Level Features with Application to Information Retrieval. IJCAI (2009)
Han Liu, Mark Palatucci, Jian Zhang
Blockwise coordinate descent procedures for the multi-task lasso, with applications to neural semantic basis discovery. ICML (2009)
Han Liu, Jian Zhang
Estimation Consistency of the Group Lasso and its Applications. AISTATS (2009)
Tiancheng Li, Ninghui Li, Jian Zhang
Modeling and Integrating Background Knowledge in Data Anonymization. ICDE (2009)
Jin Yu, S. V. N. Vishwanathan, Jian Zhang
The Entire Quantile Path of a Risk-Agnostic SVM Classifier. UAI (2009)
Jian Zhang, Zoubin Ghahramani, Yiming Yang
Flexible latent variable models for multi-task learning. Mach. Learn. 73 (3) (2008)
Jian Zhang, Rong Yan
On the value of pairwise constraints in classification and consistency. ICML (2007)
Joshua V. Dillon, Yi Mao, Guy Lebanon, Jian Zhang
Statistical Translation, Heat Kernels and Expected Distances. UAI (2007)
Rong Jin, Jian Zhang
Multi-Class Learning by Smoothed Boosting. Mach. Learn. 67 (3) (2007)
Rong Yan, Jian Zhang, Jie Yang, Alexander G. Hauptmann
A Discriminative Learning Framework with Pairwise Constraints for Video Object Classification. IEEE Trans. Pattern Anal. Mach. Intell. 28 (4) (2006)
Yiming Yang, Shinjae Yoo, Jian Zhang, Bryan Kisiel
Robustness of adaptive filtering methods in a cross-benchmark evaluation. SIGIR (2005)
Jian Zhang, Zoubin Ghahramani, Yiming Yang
Learning Multiple Related Tasks using Latent Independent Component Analysis. NIPS (2005)
Rong Jin, Jian Zhang
A smoothed boosting algorithm using probabilistic output codes. ICML (2005)
Jian Zhang, Yiming Yang
Probabilistic score estimation with piecewise logistic regression. ICML (2004)
Rong Yan, Jian Zhang, Jie Yang, Alexander G. Hauptmann
A Discriminative Learning Framework with Pairwise Constraints for Video Object Classification. CVPR (2) (2004)
Jian Zhang, Zoubin Ghahramani, Yiming Yang
A Probabilistic Model for Online Document Clustering with Application to Novelty Detection. NIPS (2004)
Yiming Yang, Jian Zhang, Bryan Kisiel
A scalability analysis of classifiers in text categorization. SIGIR (2003)
Jian Zhang, Yiming Yang
Robustness of regularized linear classification methods in text categorization. SIGIR (2003)
Rong Jin, Rong Yan, Jian Zhang, Alexander G. Hauptmann
A Faster Iterative Scaling Algorithm for Conditional Exponential Model. ICML (2003)
Jian Zhang, Rong Jin, Yiming Yang, Alexander G. Hauptmann
Modified Logistic Regression: An Approximation to SVM and Its Applications in Large-Scale Text Categorization. ICML (2003)
Sujian Li, Jian Zhang, Huang Xiong, Shuo Bai, Qun Liu
Semantic Computation in a Chinese Question-Answering System. J. Comput. Sci. Technol. 17 (6) (2002)
Yiming Yang, Jian Zhang, Jaime G. Carbonell, Chun Jin
Topic-conditioned novelty detection. KDD (2002)