Zhi-Hua Zhou's Publications

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Zhi-Hua Zhou's Publications

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Conference Paper

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.xxx-xxx.
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.xxx-xxx.
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.xxx-xxx.
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.xxx-xxx. (short paper)
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, pp.xxx-xxx.
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] 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.
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.
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.
D. Zhang, Z.-H. Zhou, and S. Chen. Adaptive kernel principal component analysis with unsupervised learning of kernels. In: Proceedings of the 6th IEEE International Conference on Data Mining (ICDM'06), Hong Kong, China, 2006, pp.1178-1182.
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.
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.
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 (ACM Multimedia'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.
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. [20+ citations at GoogleScholar]
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] [20+ citations at GoogleScholar]
Z.-H. Zhou and M.-L. Zhang. Neural networks for multi-instance learning. In: Proceedings of the International Conference on Intelligent Information Technology (ICIIT'02), Beijing, China, 2002, pp.455-459. (See: Z.-H. Zhou and M.-L. Zhang. Neural networks for multi-instance learning. Technical Report, AI Lab, Department of Computer Science & Technology, Nanjing University, Nanjing, China, Aug. 2002.) [code] [20+ citations at GoogleScholar]
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 [40+ citations at GoogleScholar]
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. [50+ citations at GoogleScholar]

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Journal Article

Y. Yu and Z.-H. Zhou. A new approach to estimating the expected first hitting time of evolutionary algorithms. Artificial Intelligence, in press.
X.-B. Xue and Z.-H. Zhou. Distributional features for text categorization. IEEE Transactions on Knowledge and Data Engineering, in press.
X.-B. Xue, Z.-H. Zhou, and Z. Zhang. Improving web search using image snippets. ACM Transactions on Internet Technology, in press. [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, in press.
M.-L. Zhang and Z.-H. Zhou. Multi-instance clustering with applications to multi-instance prediction. Applied Intelligence, in press. [code]
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.
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. 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. Semi-supervised 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] [30+ citations at GoogleScholar]
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. [20+ citations at GoogleScholar]
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] [20+ citations at GoogleScholar]
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] [30+ citations at GoogleScholar]
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] [20+ citations at GoogleScholar]
Z.-H. Zhou, K. Jiang, and M. Li. Multi-instance learning based web mining. Applied Intelligence, 2005, 22(2): 135-147. [data] [20+ citations at GoogleScholar]
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] [20+ citations at GoogleScholar]
D. Zhang, S. Chen, and Z.-H. Zhou. A new face recognition method based on SVD perturbation for single example image per person. Applied Mathematics and Computation, 2005, 163(2): 895-907. [data] [20+ citations at GoogleScholar]
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] [20+ citations at GoogleScholar]
Z.-H. Zhou and X. Geng. Projection functions for eye detection. Pattern Recognition, 2004, 37(5): 1049-1056. [60+ citations at GoogleScholar]
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] [30+ citations at GoogleScholar]
Z.-H. Zhou. Three perspectives of data mining. Artificial Intelligence, 2003, 143(1): 139-146. [30+ citations at GoogleScholar]
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] [30+ citations at GoogleScholar]
Z.-H. Zhou, Y. Jiang, and S.-F. Chen. Extracting symbolic rules from trained neural network ensembles. AI Communications, 2003, 16(1): 3-15. [30+ citations at GoogleScholar]
J. Wu and Z.-H. Zhou. Efficient face candidates selector for face detection. Pattern Recognition, 2003, 36(5): 1175-1186. [demo] [40+ citations at GoogleScholar]
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] [240+ citations at GoogleScholar]
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. [60+ citations at GoogleScholar]
Z.-H. Zhou and Z.-Q. Chen. Hybrid decision tree. Knowledge-Based Systems, 2002, 15(8): 515-528. [30+ citations at GoogleScholar]
J. Wu and Z.-H. Zhou. Face recognition with one training image per person. Pattern Recognition Letters, 2002, 23(14): 1711-1719. [data] [50+ citations at GoogleScholar]
Z.-H. Zhou, S. Chen, and Z. Chen. FANNC: A fast adaptive neural network classifier. Knowledge and Information Systems, 2000, 2(1): 115-129. [demo] [20+ citations at GoogleScholar]

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