Jian Zhang's Research Papers

2008:

Han Liu and Jian Zhang. On the L1-Lq regularized regression. Technical Report 860, Department of Statistics, Carnegie Mellon University, 2008.
Jian Zhang, Zoubin Ghahramani and Yiming Yang. Flexible Latent Variable Models for Multi-Task Learning. Machine Learning, 2008.

Josh Dillon, Yi Mao, Guy Lebanon, and Jian Zhang . Statistical Translation, Heat Kernels, and Expected Distances. Proceedings of the 23rd Conference on Uncertainty in Artificial Intelligence (UAI), 2007.
Jian Zhang, and Rong Yan. On the Value of Pairwise Constraints in Classification and Consistency. ICML, 2007.
Yiming Yang, Abhimanyu Lad, Ni Lao, Abhay Harpale, Bryan Kisiel, Monica Rogati, Jian Zhang, Jaime Carbonell, Peter Brusilovsky, and Daqing He. Utility-based Information Distillation over Temporally Sequenced Documents. Proceedings of the 30th Annual International ACM SIGIR Conference (SIGIR), 2007.
Rong Jin, and Jian Zhang. Multi-Class Learning by Smoothed Boosting. Machine Learning 67:3, 2007.

Josh Dillon, Yi Mao, Guy Lebanon, and Jian Zhang. Statistical Translation, Heat Kernels, and Expected Distances. NIPS workshop on Learning to Compare Examples, 2006.
Rong Yan, Jian Zhang, Jie Yang, and Alexander G. Hauptmann. A Discriminative Learning Framework with Pairwise Constraints for Video Object Classification. IEEE Transaction on Pattern Analysis and Machine Intelligence (PAMI) 28, 2006.
Jian Zhang. A Probabilistic Framework for Multitask Learning. PhD Thesis, CMU Technical Report CMU-LTI-06-006, 2006.

Jian Zhang. Sparsity Models for Multi-task Learning. NIPS Workshop on Inductive Transfer, 2005.
Jian Zhang, Zoubin Ghahramani, and Yiming Yang. Learning Multiple Related Tasks using Latent Independent Component Analysis. Advances in Neural Information Processing Systems (NIPS), 2005.
Yiming Yang, Shinjae Yoo, Jian Zhang, and Bryan Kisiel. Robustness of Adaptive Filtering Methods in a Cross-benchmark Evaluation. Proceedings of the 28th Annual International ACM SIGIR Conference (SIGIR), 2005.
Rong Jin, and Jian Zhang. A Smoothed Boosting Algorithm Using Probabilistic Output Codes. The 22th International Conference on Machine Learning (ICML), 2005.

Jian Zhang, Zoubin Ghahramani, and Yiming Yang. A Probabilistic Model for Online Document Clustering with Application to Novelty Detection. Advances in Neural Information Processing Systems (NIPS), 2004.
Jian Zhang, and Yiming Yang. Probabilistic Score Estimation with Piecewise Logistic Regression. International Conference on Machine Learning (ICML), 2004.
Jian Zhang, Yiming Yang, and Jaime Carbonell. New Event Detection with Nearest Neighbor, Support Vector Machines, and Kernel Regression. CMU Technical Report CMU-CS-04-118 (CMU-LTI-04-180), 2004.
Rong Yan, Jian Zhang, Jie Yang, and Alex Hauptmann. A Discriminative Learning Framework with Pairwise Constraints for Video Object Classification. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2004.

Jian Zhang, Rong Jin, Yiming Yang, and Alex Hauptmann. Modified Logistic Regression: An Approximation to SVM and its Applications in Large-Scale Text Categorization. International Conference on Machine Learning (ICML), 2003.
Rong Jin, Rong Yan, Jian Zhang, and Alex Hauptmann. A Faster Iterative Scaling Algorithm for Conditional Exponential Model. International Conference on Machine Learning (ICML), 2003.
Jian Zhang, and Yiming Yang. Robustness of Regularized Linear Classification Methods in Text Categorization. Proceedings of the 26th Annual International ACM SIGIR Conference (SIGIR), 2003.
Yiming Yang, Jian Zhang, and Bryan Kisiel. A Scalability Analysis of Classifiers in Text Categorization. Proceedings of the 26th Annual International ACM SIGIR Conference (SIGIR), 2003.

Yiming Yang, Jian Zhang, Jaime Carbonell, and Chun Jin. Topic-conditioned Novelty Detection. The Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), 2002.
Sujian Li, Jian Zhang, Xiong Huang, and Shuo Bai. Semantic Computation in Chinese Question Answering System. Journal of Computer Science and Technology, 2002.
Jian Zhang. Generalized Example-Based Chinese-English Machine Translation. Master Thesis (in Chinese), Institute of Computing Technology, Chinese Academy of Science, 2001.

Sujian Li, Jian Zhang, Qun Liu, and Jiancheng Wang. Semantic Disambiguition of Chinese Homonyms in pinyin-hanzi Conversion. International Conference on Knowledge Based Computer Systems (KBCS 2000), 2000.
Jian Zhang, Sujian Li, and Qun Liu. N-gram Language Model and its Application in Machine Translation System. Computer Engineering and Applications (in Chinese), 2000.