Zhi-Hua Zhou's Publications

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Zhi-Hua Zhou's Publications

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[Book] [Conference Paper] [Journal Article]

Book

Z.-H. Zhou. Ensemble Methods: Foundations and Algorithms, Boca Raton, FL: Chapman & Hall/CRC, 2012. (ISBN 978-1-439-830031) [TOC; Sample chapters: Chapter 2, Chaper 6]

Conference Paper

S.-J. Huang, Y. Yu, and Z.-H. Zhou. Multi-label hypothesis reuse. In: Proceedings of the 18th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'12), Beijing, China, 2012.
S.-J. Huang and Z.-H. Zhou. Multi-label learning by exploiting label correlations locally. In: Proceedings of the 26th AAAI Conference on Artificial Intelligence (AAAI'12), Toronto, Canada, 2012.
Y.-F. Li, J.-H. Hu, Y. Jiang, and Z.-H. Zhou. Towards discovering what patterns trigger what labels. In: Proceedings of the 26th AAAI Conference on Artificial Intelligence (AAAI'12), Toronto, Canada, 2012. [code]
B. Wang, J. Jiang, W. Wang, Z.-H. Zhou, and Z. Tu. Unsupervised metric fusion by cross diffusion. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'12), Providence, RI, 2012.
S.-W. Wang, Z.-H. Zhou, M. Ge, and C. Wang. Resource allocation for heterogeneous multiuser OFDM-based cognitive radio networks with imperfect spectrum sensing. In: Proceedings of the 31st IEEE International Conference on Computer Communications (INFOCOM'12), Orlando, FL, 2012, pp.2264-2272.
Y. Ge, H. Xiong, C. Liu, and Z.-H. Zhou. A taxi driving fraud detection system. In: Proceedings of the 11th IEEE International Conference on Data Mining (ICDM'11), Vancouver, Canada, 2011, pp.181-190.
X.-S. Xu, X. Xue, and Z.-H. Zhou. Ensemble multi-instance multi-label learning approach for video annotation task. In: Proceedings of the 19th ACM International Conference on Multimedia (MM'11), Scottsdale, AZ, 2011, pp.1153-1156. (short paper)
X.-S. Xu, Y. Jiang, P. Liang, X. Xue, and Z.-H. Zhou. Ensemble approach based on conditional random field for multi-label image and video annotation. In: Proceedings of the 19th ACM International Conference on Multimedia (MM'11), Scottsdale, AZ, 2011, pp.1377-1380. (short paper)
D. Zhang, N. Li, Z.-H. Zhou, C. Chen, L. Sun, and S. Li. iBAT: Detecting anomalous taxi trajectories from GPS traces. In: Proceedings of the 13th ACM International Conference on Ubiquitous Computing (UbiComp'11), Beijing, China, 2011, pp.99-108.
W. Gao and Z.-H. Zhou. On the consistency of multi-label learning. In: Proceedings of the 24th Annual Conference on Learning Theory (COLT'11), Budapest, Hungary, 2011, JMLR: W&CP 19, pp.341-358.
Y.-F. Li and Z.-H. Zhou. Towards making unlabeled data never hurt. In: Proceedings of the 28th International Conference on Machine Learning (ICML'11), Bellevue, WA, 2011, pp.1081-1088. [code]
Y.-F. Li and Z.-H. Zhou. Improving semi-supervised support vector machines through unlabeled instances selection. In: Proceedings of the 25th AAAI Conference on Artificial Intelligence (AAAI'11), San Francisco, CA, 2011, pp.386-391. (CORR abs/1005.1545)
Y. Wang, Y. Jiang, Y. Wu, and Z.-H. Zhou. Localized K-flats. In: Proceedings of the 25th AAAI Conference on Artificial Intelligence (AAAI'11), San Francisco, CA, 2011, pp.523-530.
Y. Wang, Y. Jiang, Y. Wu, and Z.-H. Zhou. Local and structural consistency for multi-manifold clustering. In: Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI'11), Barcelona, Spain, 2011, pp.1559-1564.
Y. Yu, Y.-F. Li, and Z.-H. Zhou. Diversity regularized machine. In: Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI'11), Barcelona, Spain, 2011, pp.1603-1608.
Q. Guo, T. Chen, Y. Chen, Z.-H. Zhou, W. Hu, and Z. Xu. Effective and efficient microprocessor design space exploration using unlabeled design configurations. In: Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI'11), Barcelona, Spain, 2011, pp.1671-1677.
L. Wu, X. Ying, X. Wu, and Z.-H. Zhou. Line orthogonality in adjacency eigenspace with application to community partition. In: Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI'11), Barcelona, Spain, 2011, pp.2349-2354.
C. Qian, Y. Yu, and Z.-H. Zhou. An analysis on recombination in multi-objective evolutionary optimization. In: Proceedings of the 13th ACM Genetic and Evolutionary Computation Conference (GECCO'11), Dublin, Ireland, 2011, pp.2051-2058. This paper won the Theory Best Paper Award at GECCO'11
M.-L. Zhang and Z.-H. Zhou. Exploiting unlabeled data to enhance ensemble diversity. In: Proceedings of the 10th IEEE International Conference on Data Mining (ICDM'10), Sydney, Australia, 2010, pp.609-618. (CORR abs/0909.3593) [code]
W. Wang and Z.-H. Zhou. Multi-view active learning in the non-realizable case. In: Advances in Neural Information Processing Systems 23 (NIPS'10) (Vancouver, Canada), J. Lafferty, C. K. I. Williams, J. Shawe-Taylor, R. S. Zemel, A. Culotta, eds. Cambridge, MA: MIT Press, 2010, pp.2388-2396. (CORR abs/1005.5581) [supplement]
S.-J. Huang, R. Jin, and Z.-H. Zhou. Active learning by querying informative and representative examples. In: Advances in Neural Information Processing Systems 23 (NIPS'10) (Vancouver, Canada), J. Lafferty, C. K. I. Williams, J. Shawe-Taylor, R. S. Zemel, A. Culotta, eds. Cambridge, MA: MIT Press, 2010, 892-900. [supplement] [code]
Y. Ge, H. Xiong, Z.-H. Zhou, H. Ozdemir, J. Yu, and K. C. Lee. TOP-EYE: Top-k evolving trajectory outlier detection. In: Proceedings of the 19th ACM International Conference on Information and Knowledge Management (CIKM'10), Toronto, Canada, 2010, pp.1733-1736. (short paper)
T. F. Liu, K. M. Ting, and Z.-H. Zhou. On detecting clustered anomalies using SCiForest. In: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD'10), Barcelona, Spain, LNAI 6322, 2010, pp.274-290.
W. Gao and Z.-H. Zhou. Approximation stability and boosting. In: Proceedings of the 21st International Conference on Algorithmic Learning Theory (ALT'10), LNCS 6331, Canberra, Australia, 2010, pp.59-73.
Y. Yu, C. Qian, and Z.-H. Zhou. Towards analyzing recombination operators in evolutionary search. In: Proceedings of the 11th International Conference on Parallel Problem Solving from Nature (PPSN'10), LNCS 6238, Krakow, Poland, 2010, pp.144-153.
Y. Wang, Y. Jiang, Y. Wu, and Z.-H. Zhou. Multi-manifold clustering. In: Proceedings of the 11th Pacific Rim International Conference on Artificial Intelligence (PRICAI'10), LNAI 6230, Daegu, Korea, 2010, pp.280-291. [slides] This paper won the Best Paper Award at PRICAI'10
X.-Y. Liu and Z.-H. Zhou. Learning with cost intervals. In: Proceedings of the 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'10), Washington, DC, 2010, pp.403-412. [code]
W. Wang and Z.-H. Zhou. A new analysis of co-training. In: Proceedings of the 27th International Conference on Machine Learning (ICML'10), Haifa, Israel, 2010, pp.1135-1142.
Y.-Y. Sun, Y. Zhang, and Z.-H. Zhou. Multi-label learning with weak label. In: Proceedings of the 24th AAAI Conference on Artificial Intelligence (AAAI'10), Atlanta, GA, 2010, pp.593-598. [code]
Y.-Y. Sun, M. Ng, and Z.-H. Zhou. Multi-instance dimensionality reduction. In: Proceedings of the 24th AAAI Conference on Artificial Intelligence (AAAI'10), Atlanta, GA, 2010, pp.587-592.
Y.-F. Li, J. Kwok, and Z.-H. Zhou. Cost-sensitive semi-supervised support vector machine. In: Proceedings of the 24th AAAI Conference on Artificial Intelligence (AAAI'10), Atlanta, GA, 2010, pp.500-505. [code]
X. Geng, K. Smith-Miles, and Z.-H. Zhou. Facial age estimation by learning from label distribution. In: Proceedings of the 24th AAAI Conference on Artificial Intelligence (AAAI'10), Atlanta, GA, 2010, pp.451-456.
Z.-H. Zhou and N. Li. Multi-information ensemble diversity. In: Proceedings of the 9th International Workshop on Multiple Classifier Systems (MCS'10), LNCS 5997, Cairo, Egypt, 2010, pp.134-144. [code]
N. Li, Y. Yu, and Z.-H. Zhou. Semi-naive exploitation of one-dependence estimators. In: Proceedings of the 9th IEEE International Conference on Data Mining (ICDM'09), Miami, FL, 2009, pp.278-287.
L.-P. Liu, Y. Jiang, and Z.-H. Zhou. Least square incremental linear discriminant analysis. In: Proceedings of the 9th IEEE International Conference on Data Mining (ICDM'09), Miami, FL, 2009, pp.298-306. [code]
X. Geng, K. Smith-Miles, Z.-H. Zhou, and L. Wang. Face image modeling by multilinear subspace analysis with missing values. In: Proceedings of the 17th ACM International Conference on Multimedia (MM'09), Beijing, China, 2009, pp.629-632. (short paper)
Y.-F. Li, J. T. Kwok, I. W. Tsang, and Z.-H. Zhou. A convex method for locating regions of interest with multi-instance learning. In: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD'09), Bled, Slovenia, Part II, LNAI 5782, 2009, pp.15-30. [code]
J.-M. Xu, G. Fumera, F. Roli, and Z.-H. Zhou. Training SpamAssassin with active semi-supervised learning. In: Proceedings of the 6th Conference on Email and Anti-Spam (CEAS'09), Mountain View, CA, 2009.
Z.-H. Zhou, Y.-Y. Sun, and Y.-F. Li. Multi-instance learning by treating instances as non-i.i.d. samples. In: Proceedings of the 26th International Conference on Machine Learning (ICML'09), Montreal, Canada, 2009, pp.1249-1256. (CORR abs/0807.1997) [code][data]
Y.-F. Li, J. T. Kwok, and Z.-H. Zhou. Semi-supervised learning using label mean. In: Proceedings of the 26th International Conference on Machine Learning (ICML'09), Montreal, Canada, 2009, pp.633-640. [code]
D.-C. Zhan, M. Li, Y.-F. Li, and Z.-H. Zhou. Learning instance specific distances using metric propagation. In: Proceedings of the 26th International Conference on Machine Learning (ICML'09), Montreal, Canada, 2009, pp.1225-1232. [code]
S. Ji, L. Yuan, Y.-X. Li, Z.-H. Zhou, S. Kumar, and J. Ye. Drosophila gene expression pattern annotation using sparse features and term-term interactions. In: Proceedings of the 15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'09), Paris, France, 2009, pp.407-416.
Y. Zhang and Z.-H. Zhou. Non-metric label propagation. In: Proceedings of the 21st International Joint Conference on Artificial Intelligence (IJCAI'09), Pasadena, CA, 2009, pp.1357-1362. [code]
M. Li, X.-B. Xue, and Z.-H. Zhou. Exploiting multi-modal interactions: A unified framework. In: Proceedings of the 21st International Joint Conference on Artificial Intelligence (IJCAI'09), Pasadena, CA, 2009, pp.1120-1125.
Y.-X. Li, S. Ji, J. Ye, S. Kumar, and Z.-H. Zhou. Drosophila gene expression pattern annotation through multi-instance multi-label learning. In: Proceedings of the 21st International Joint Conference on Artificial Intelligence (IJCAI'09), Pasadena, CA, 2009, pp.1445-1450. [code]
Z.-H. Zhou. When semi-supervised learning meets ensemble learning. In: Proceedings of the 8th International Workshop on Multiple Classifier Systems (MCS'09), Reykjavik, Iceland, LNCS 5519, 2009, pp.529-538. [slides] Invited plenary talk at MCS'09
N. Li and Z.-H. Zhou. Selective ensemble under regularization framework. In: Proceedings of the 8th International Workshop on Multiple Classifier Systems (MCS'09), Reykjavik, Iceland, LNCS 5519, 2009, pp.293-303. [code]
R. Jin, S. Wang, and Z.-H. Zhou. Learning a distance metric from multi-instance multi-label data. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'09), Miami, FL, 2009, pp.896-902.
X. Tan, F. Song, Z.-H. Zhou, and S. Chen. Enhanced pictorial structures for precise eye localization under uncontrolled conditions. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'09), Miami, FL, 2009, pp.1621-1628.
Y.-F. Li, I. W. Tsang, J. Kwok, and Z.-H. Zhou. Tighter and convex maximum margin clustering. In: Proceedings of the 12th International Conference on Artificial Intelligence and Statistics (AISTATS'09), Clearwater Beach, FL, 2009, pp.328-335. [code]
M.-L. Zhang and Z.-H. Zhou. M ³ MIML: A maximum margin method for multi-instance multi-label learning. In: Proceedings of the 8th IEEE International Conference on Data Mining (ICDM'08), Pisa, Italy, 2008, pp.688-697. [code][data]
F. T. Liu, K. M. Ting, and Z.-H. Zhou. Isolation forest. In: Proceedings of the 8th IEEE International Conference on Data Mining (ICDM'08), Pisa, Italy, 2008, pp.413-422. [code] This paper won the Theoretical/Algorithms Runner-Up Best Paper Award at IEEE ICDM'08
L.-P. Liu, Y. Yu, Y. Jiang, and Z.-H. Zhou. TEFE: A time-efficient approach to feature extraction. In: Proceedings of the 8th IEEE International Conference on Data Mining (ICDM'08), Pisa, Italy, 2008, pp.423-432.
X. Geng, K. Smith-Miles, and Z.-H. Zhou. Facial age estimation by nonlinear aging pattern subspace. In: Proceedings of the 16th ACM International Conference on Multimedia (MM'08), Vancouver, Canada, 2008, pp.721-724. (short paper)
D. Zhang, S. Chen, Z.-H. Zhou, and Q. Yang. Constraint projections for ensemble learning. In: Proceedings of the 23rd AAAI Conference on Artificial Intelligence (AAAI'08), Chicago, IL, 2008, pp.758-763.
Y. Zhang and Z.-H. Zhou. Multi-label dimensionality reduction via dependency maximization. In: Proceedings of the 23rd AAAI Conference on Artificial Intelligence (AAAI'08), Chicago, IL, 2008, pp.1503-1505. (short paper) [code & data]
L. Wang, M. Sugiyama, C. Yang, Z.-H. Zhou, and J. Feng. On the margin explanation of boosting algorithm. In: Proceedings of the 21st Annual Conference on Learning Theory (COLT'08), Helsinki, Finland, 2008, pp.479-490.
W. Wang and Z.-H. Zhou. On multi-view active learning and the combination with semi-supervised learning. In: Proceedings of the 25th International Conference on Machine Learning (ICML'08), Helsinki, Finland, 2008, pp.1152-1159.
Y. Zhang and Z.-H. Zhou. Cost-sensitive face recognition. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'08), Anchorage, AK, 2008. [code]
Y. Yu and Z.-H. Zhou. A framework for modeling positive class expansion with single snapshot. In: Proceedings of the 12th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'08), Osaka, Japan, LNAI 5012, 2008, pp.429-440. [slides][code&data] This paper won the Best Paper Award at PAKDD'08
Z.-H. Zhou and H.-B. Dai. Exploiting image contents in web search. In: Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI'07), Hyderabad, India, 2007, pp.2928-2933.
Z.-H. Zhou, D.-C. Zhan, and Q. Yang. Semi-supervised learning with very few labeled training examples. In: Proceedings of the 22nd AAAI Conference on Artificial Intelligence (AAAI'07), Vancouver, Canada, 2007, pp.675-680. [code]
M.-L. Zhang and Z.-H. Zhou. Multi-label learning by instance differentiation. In: Proceedings of the 22nd AAAI Conference on Artificial Intelligence (AAAI'07), Vancouver, Canada, 2007, pp.669-674. [code]
Z.-H. Zhou and J.-M. Xu. On the relation between multi-instance learning and semi-supervised learning. In: Proceedings of the 24th International Conference on Machine Learning (ICML'07), Corvallis, OR, 2007, pp.1167-1174. [slides][code]
X.-L. Li and Z.-H. Zhou. Structure learning of probabilistic relational models from incomplete relational data. In: Proceedings of the 18th European Conference on Machine Learning (ECML'07), Warsaw, Poland, LNAI 4701, 2007, pp.214-225.
W. Wang and Z.-H. Zhou. Analyzing co-training style algorithms. In: Proceedings of the 18th European Conference on Machine Learning (ECML'07), Warsaw, Poland, LNAI 4701, 2007, pp.454-465.
Y. Yu, Z.-H. Zhou, and K. M. Ting. Cocktail ensemble for regression. In: Proceedings of the 7th IEEE International Conference on Data Mining (ICDM'07), Omeha, NE, 2007, pp.721-726.
D. Zhang, Z.-H. Zhou, and S. Chen. Semi-supervised dimensionality reduction. In: Proceedings of the 7th SIAM International Conference on Data Mining (SDM'07), Minneapolis, MN, 2007, pp.629-634. [code]
Z.-H. Zhou and M.-L. Zhang. Multi-instance multi-label learning with application to scene classification. In: Advances in Neural Information Processing Systems 19 (NIPS'06) (Vancouver, Canada), B. Schölkopf, J. Platt, and T. Hofmann, eds. Cambridge, MA: MIT Press, 2007, pp.1609-1616. [code][data]
Z.-H. Zhou and X.-Y. Liu. On multi-class cost-sensitive learning. In: Proceedings of the 21st National Conference on Artificial Intelligence (AAAI'06), Boston, MA, 2006, pp.567-572. [code]
Y. Yu and Z.-H. Zhou. A new approach to estimating the expected first hitting time of evolutionary algorithms. In: Proceedings of the 21st National Conference on Artificial Intelligence (AAAI'06), Boston, MA, 2006, pp.555-560.
X.-B. Xue, Z.-H. Zhou, and Z. Zhang. Improve web search using image snippets. In: Proceedings of the 21st National Conference on Artificial Intelligence (AAAI'06), Boston, MA, 2006, pp.1431-1436. [illustration]
X.-B. Xue and Z.-H. Zhou. Distributional features for text categorization. In: Proceedings of the 17th European Conference on Machine Learning (ECML'06), Berlin, Germany, LNAI 4212, 2006, pp.497-508.
Z.-H. Zhou and H.-B. Dai. Query-sensitive similarity measure for content-based image retrieval. In: Proceedings of the 6th IEEE International Conference on Data Mining (ICDM'06), Hong Kong, China, 2006, pp.1211-1215.
X.-Y. Liu and Z.-H. Zhou. The influence of class imbalance on cost-sensitive learning: An empirical study. In: Proceedings of the 6th IEEE International Conference on Data Mining (ICDM'06), Hong Kong, China, 2006, pp.970-974.
X.-Y. Liu, J. Wu, and Z.-H. Zhou. Exploratory under-sampling for class-imbalance learning. In: Proceedings of the 6th IEEE International Conference on Data Mining (ICDM'06), Hong Kong, China, 2006, pp.965-969. [code]
X. Tan, S. Chen, Z.-H. Zhou, and J. Liu. Learning non-metric partial similarity based on maximal margin criterion. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06), New York, NY, 2006, pp.138-145. [code]
X. Geng, Z.-H. Zhou, Y. Zhang, G. Li, and H. Dai. Learning from facial aging patterns for automatic age estimation. In: Proceedings of the 14th ACM International Conference on Multimedia (MM'06), Santa Barbara, CA, 2006, pp.307-316.
D. Zhang, Z.-H. Zhou, and S. Chen. Non-negative matrix factorization on kernels. In: Proceedings of the 9th Pacific Rim International Conference on Artificial Intelligence (PRICAI'06), Guilin, China, LNAI 4099, 2006, pp.404-412. [data] This paper won the Best Paper Award at PRICAI'06
Z.-H. Zhou and M. Li. Semi-supervised regression with co-training. In: Proceedings of the 19th International Joint Conference on Artificial Intelligence (IJCAI'05), Edinburgh, Scotland, 2005, pp.908-913.
M.-L. Zhang and Z.-H. Zhou. A k -nearest neighbor based algorithm for multi-label classification. In: Proceedings of the 1st IEEE International Conference on Granular Computing (GrC'05), Beijing, China, 2005, pp.718-721.
Z.-H. Zhou, K.-J. Chen, and Y. Jiang. Exploiting unlabeled data in content-based image retrieval. In: Proceedings of the 15th European Conference on Machine Learning (ECML'04), Pisa, Italy, LNAI 3201, 2004, pp.525-536.
Z.-H. Zhou and M.-L. Zhang. Ensembles of multi-instance learners. In: Proceedings of the 14th European Conference on Machine Learning (ECML'03), Cavtat-Dubrovnik, Croatia, LNAI 2837, 2003, pp.492-502. [code]
Z.-H. Zhou, J.-X. Wu, Y. Jiang, and S.-F. Chen. Genetic algorithm based selective neural network ensemble. In: Proceedings of the 17th International Joint Conference on Artificial Intelligence (IJCAI'01), Seattle, WA, 2001, vol.2, pp.797-802. This paper was nominated along with other four papers for the Distinguished Paper Award at IJCAI'01
F. J. Huang, Z.-H. Zhou, H.-J. Zhang, and T. Chen. Pose invariant face recognition. In: Proceedings of the 4th IEEE International Conference on Automatic Face and Gesture Recognition (FG'00), Grenoble, France, 2000, pp.245-250.

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Journal Article

L. Yuan, A. Woodard, S. Ji, Y. Jiang, Z.-H. Zhou, S. Kumar, and J. Ye. Learning sparse representation for fruit-fly gene expression pattern image annotation and retrieval. BMC Bioinformatics, in press.
T. Chen, Y. Chen, Q. Guo, Z.-H. Zhou, L. Li, and Z. Xu. Effective and efficient microprocessor design space exploration using unlabeled design configurations. ACM Transactions on Intelligent Systems and Technology, in press.
M.-L. Zhang, Z.-H. Zhou. Exploiting unlabeled data to enhance ensemble diversity. Data Mining and Knowledge Discovery, in press. (CORR abs/0909.3593) [code]
X. Kong, M. K. Ng, and Z.-H. Zhou. Transductive multi-label learning via label set propagation. IEEE Transactions on Knowledge and Data Engineering, in press. [code]
W. Wang and Z.-H. Zhou. Learnability of multi-instance multi-label learning. Chinese Science Bulletin, in press.
Z.-H. Zhou, M.-L. Zhang, S.-J. Huang, and Y.-F. Li. Multi-instance multi-label learning. Artificial Intelligence, 2012, 176(1): 2291-2320. (CORR abs/1005.1545) [supplement] [code]
Y. Yu, X. Yao, and Z.-H. Zhou. On the approximation ability of evolutionary optimization with application to minimum set cover. Artificial Intelligence, 2012, 180-181: 20-33. (CORR abs/1011.4028)
F. T. Liu, K. M. Ting, and Z.-H. Zhou. Isolation-based anomaly detection. ACM Transactions on Knowledge Discovery from Data, 2012, 6(1): Article 3. [code]
Y.-X. Li, S. Ji, S. Kumar, J. Ye, and Z.-H. Zhou. Drosophila gene expression pattern annotation through multi-instance multi-label learning. ACM/IEEE Transactions on Computational Biology and Bioinformatics, 2012, 9(1): 98-112. [code]
Y. Wang, S. Chen, and Z.-H. Zhou. A new semi-supervised classification method based on modified cluster assumption. IEEE Transactions on Neural Networks, 2012, 23(5): 689-702.
L. Wang, M. Sugiyama, Z. Jing, C. Yang, Z.-H. Zhou, and J. Feng. A refined margin analysis for boosting algorithms via equilibrium margin. Journal of Machine Learning Research, 2011, 12: 1835-1863.
J. Du, C. X. Ling, and Z.-H. Zhou. When does co-training work in real data? IEEE Transactions on Knowledge and Data Engineering, 2011, 23(5): 788-799.
Y. Wang, Y. Jiang, Y. Wu, and Z.-H. Zhou. Spectral clustering on multiple manifolds. IEEE Transactions on Neural Networks, 2011, 22(7): 1149-1161. [code]
J. Zhang, Q. Wang, L. He, and Z.-H. Zhou. Quantitative analysis of nonlinear embedding. IEEE Transactions on Neural Networks, 2011, 22(12): 1987-1998. [code]
X. Geng, K. Smith-Miles, Z.-H. Zhou, and L. Wang. Face image modeling by multilinear subspace analysis with missing values. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 2011, 41(3): 881-892.
M.-L. Zhang and Z.-H. Zhou. CoTrade: Confident co-training with data editing. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 2011, 41(6): 1612-1626. [code]
S. Wang, F. Huang, and Z.-H. Zhou. Fast power allocation algorithm for cognitive radio networks. IEEE Communications Letters, 2011, 15(8): 845-847.
Z.-H. Zhou. When semi-supervised learning meets ensemble learning. Frontiers of Electrical and Electronic Engineering in China, 2011, 6(1): 6-16.
Y. Zhang and Z.-H. Zhou. Multi-label dimensionality reduction via dependence maximization. ACM Transactions on Knowledge Discovery from Data, 2010, 4(3): Article 14. [code & data]
Y. Zhang and Z.-H. Zhou. Cost-sensitive face recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010, 32(10): 1758-1769. [code]
J. Liu, S. Chen, Z.-H. Zhou, and X. Tan. Generalized low rank approximations of matrices revisited. IEEE Transactions on Neural Networks, 2010, 21(4): 621-632.
Y. Fu, Y. Guo, Y. Zhu, F. Liu, C. Song, and Z.-H. Zhou. Multi-view video summarization. IEEE Transactions on Multimedia, 2010, 12(7): 717-729. [demo]
Z.-H. Zhou and X.-Y. Liu. On multi-class cost-sensitive learning. Computational Intelligence, 2010, 26(3): 232-257. [code]
Z.-H. Zhou and M. Li. Semi-supervised learning by disagreement. Knowledge and Information Systems, 2010, 24(3): 415-439.
Y. Yu and Z.-H. Zhou. A framework for modeling positive class expansion with single snapshot. Knowledge and Information Systems, 2010, 25(2): 211-227. [slides][code&data] Invited paper for the PAKDD'08 Best Paper Award
X.-B. Xue and Z.-H. Zhou. Distributional features for text categorization. IEEE Transactions on Knowledge and Data Engineering, 2009, 21(3): 428-442.
Y. Guo, F. Liu, J. Shi, Z.-H. Zhou, and M. Gleicher. Image retargeting using mesh parametrization. IEEE Transactions on Multimedia, 2009, 11(5): 856-867.
X. Tan, S. Chen, Z.-H. Zhou, and J. Liu. Face recognition under occlusions and variant expressions with partial similarity. IEEE Transactions on Information Forensics & Security, 2009, 4(2): 217-230.
X.-Y. Liu, J. Wu, and Z.-H. Zhou. Exploratory undersampling for class-imbalance learning. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 2009, 39(2): 539-550. [code]
Y. Yu and Z.-H. Zhou. A new approach to estimating the expected first hitting time of evolutionary algorithms. Artificial Intelligence, 2008, 172(15): 1809-1832.
F. T. Liu, K. M. Ting, Y. Yu, and Z.-H. Zhou. Spectrum of variable-random trees. Journal of Artificial Intelligence Research, 2008, 32: 355-384.
X.-B. Xue, Z.-H. Zhou, and Z. Zhang. Improving web search using image snippets. ACM Transactions on Internet Technology, 2008, 8(4): Article 21. [illustration]
X. Geng, Z.-H. Zhou, and K. Smith-Miles. Individual stable space: An approach to face recognition under uncontrolled conditions. IEEE Transactions on Neural Networks, 2008, 19(8): 1354-1368.
D. Zhang, S. Chen, and Z.-H. Zhou. Constraint score: A new filter method for feature selection with pairwise constraints. Pattern Recognition, 2008, 41(5): 1440-1451.
X. Wu, V. Kumar, J. R. Quinlan, J. Ghosh, Q. Yang, H. Motoda, G. J. McLachlan, A. Ng, B. Liu, P. S. Yu, Z.-H. Zhou, M. Steinbach, D. J. Hand, and D. Steinberg. Top 10 algorithms in data mining. Knowledge and Information Systems, 2008, 14(1): 1-37. This is a summarization article of the ICDM'06 Panel on "Top 10 Algorithms in Data Mining"
X. Geng, Z.-H. Zhou, and K. Smith-Miles. Automatic age estimation based on facial aging patterns. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007, 29(12): 2234-2240. This paper was listed as the "Featured article" of the vol.29 no.12 issue of TPAMI
Z.-H. Zhou and M. Li. Semisupervised regression with co-training style algorithms. IEEE Transactions on Knowledge and Data Engineering, 2007, 19(11): 1479-1493. [code]
M. Li and Z.-H. Zhou. Improve computer-aided diagnosis with machine learning techniques using undiagnosed samples. IEEE Transactions on Systems, Man and Cybernetics - Part A: Systems and Humans, 2007, 37(6): 1088-1098. [code]
M.-L. Zhang and Z.-H. Zhou. ML-kNN: A lazy learning approach to multi-label learning. Pattern Recognition, 2007, 40(7): 2038-2048. [code]
Z.-H. Zhou, K.-J. Chen, and H.-B. Dai. Enhancing relevance feedback in image retrieval using unlabeled data. ACM Transactions on Information Systems, 2006, 24(2): 219-244.
Z.-H. Zhou and X.-Y. Liu. Training cost-sensitive neural networks with methods addressing the class imbalance problem. IEEE Transactions on Knowledge and Data Engineering, 2006, 18(1): 63-77. [code]
M.-L. Zhang and Z.-H. Zhou. Multilabel neural networks with applications to functional genomics and text categorization. IEEE Transactions on Knowledge and Data Engineering, 2006, 18(10): 1338-1351. [code]
X. Tan, S. Chen, Z.-H. Zhou, and F. Zhang. Face recognition from a single image per person: A survey. Pattern Recognition, 2006, 39(9): 1725-1745. This paper won the Pattern Recognition Journal 2006 Best Paper Award Honorable Mention
Z.-H. Zhou and M. Li. Tri-training: Exploiting unlabeled data using three classifiers. IEEE Transactions on Knowledge and Data Engineering, 2005, 17(11): 1529-1541. [code]
X. Tan, S. Chen, Z.-H. Zhou, and F. Zhang. Recognizing partially occluded, expression variant faces from single training image per person with SOM and soft kNN ensemble. IEEE Transactions on Neural Networks, 2005, 16(4): 875-886. [code][data]
Z.-H. Zhou and Y. Yu. Ensembling local learners through multimodal perturbation. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 2005, 35(4): 725-735. [code]
X. Geng, D.-C. Zhan, and Z.-H. Zhou. Supervised nonlinear dimensionality reduction for visualization and classification. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 2005, 35(6): 1098-1107. [code]
D. Zhang and Z.-H. Zhou. (2D)² PCA: 2-directional 2-dimensional PCA for efficient face representation and recognition. Neurocomputing, 2005, 69(1-3): 224-231. [data]
Z.-H. Zhou and Y. Jiang. NeC4.5: Neural ensemble based C4.5. IEEE Transactions on Knowledge and Data Engineering, 2004, 16(6): 770-773. [code]
Z.-H. Zhou and X. Geng. Projection functions for eye detection. Pattern Recognition, 2004, 37(5): 1049-1056.
S. Chen, D. Zhang, and Z.-H. Zhou. Enhanced (PC)² A for face recognition with one training image per person. Pattern Recognition Letters, 2004, 25(10): 1173-1181. [data]
Z.-H. Zhou. Rule extraction: Using neural networks or for neural networks? Journal of Computer Science and Technology, 2004, 19(2): 249-253.
Z.-H. Zhou. Three perspectives of data mining. Artificial Intelligence, 2003, 143(1): 139-146.
Z.-H. Zhou and Y. Jiang. Medical diagnosis with C4.5 rule preceded by artificial neural network ensemble. IEEE Transactions on Information Technology in Biomedicine, 2003, 7(1): 37-42. [code]
Z.-H. Zhou, Y. Jiang, and S.-F. Chen. Extracting symbolic rules from trained neural network ensembles. AI Communications, 2003, 16(1): 3-15.
J. Wu and Z.-H. Zhou. Efficient face candidates selector for face detection. Pattern Recognition, 2003, 36(5): 1175-1186. [demo]
Z.-H. Zhou, J. Wu, and W. Tang. Ensembling neural networks: Many could be better than all. Artificial Intelligence, 2002, 137(1-2): 239-263. [code]
Z.-H. Zhou, Y. Jiang, Y.-B. Yang, and S.-F. Chen. Lung cancer cell identification based on artificial neural network ensembles. Artificial Intelligence in Medicine, 2002, 24(1): 25-36.
Z.-H. Zhou and Z.-Q. Chen. Hybrid decision tree. Knowledge-Based Systems, 2002, 15(8): 515-528.
J. Wu and Z.-H. Zhou. Face recognition with one training image per person. Pattern Recognition Letters, 2002, 23(14): 1711-1719. [data]

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