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论著

年份: [2016] { 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005 | 2004 | 2003 }

2016

[Conference Paper][Journal Article]

Conference Paper

  • H.-J. Ye, D.-C. Zhan, X.-M. Si, Y. Jiang and Z.-H. Zhou. What makes objects similar: a unified multi-metric learning approach. In: Proceedings of 30th Advances in Neural Information Processing Systems 29 (NIPS'16). P1235-1243

  • H.-J. Ye, D.-C. Zhan, X.-L. Li, Z.-C. Huang and Y. Jiang. College student scholarships and subsidies granting: a multi-modal multi-label approach. In: Proceedings of the 16th IEEE International Conference on Data Mining (ICDM'16).

  • Y. Zhu, K. M. Ting and Z.-H. Zhou. Multi-label learning with emerging new labels. In: Proceedings of the 16th IEEE International Conference on Data Mining (ICDM'16).

  • W. Gao, X.-Y. Niu and Z.-H. Zhou. Learnability of Non-I.I.D.. In: Proceedings of the 8th Asian Conference on Machine Learning (ACML'16). P158-173

  • H.-J. Ye, D.-C. Zhan, X.-M. Si and Y. Jiang. Learning feature aware metric. In: Proceedings of the 8th Asian Conference on Machine Learning (ACML'16). P286-301

  • L.-J. Zhang, T. Yang, R. Jin and Z.-H. Zhou. Sparse Learning for Large-scale and High-dimensional Data: A Randomized Convex-concave Optimization Approach. In: Proceedings of the 27th International Conference on Algorithmic Learning theory (ALT'16). P83-97

  • C. Qian, Y. Yu and Z.-H. Zhou. A lower bound analysis of population-based evolutionary algorithms for pseudo-Boolean functions. In: Proceedings of the 17th International Conference on Intelligent Data Enginering and Automated Learning (IDEAL'16). P457-467

  • C. Qian, K. Tang and Z.-H. Zhou. Selection hyper-heuristics can provably be helpful in evolutionary multi-objective optimization. In: Proceedings of the 14th International Conference on Parallel Problem Solving from Nature (PPSN'16). P835-846

  • X. Mu, F. Zhu, E. Lim, J. Xiao, J. Wang and Z.-H. Zhou. User identity linkage by latent user space modelling. In: Proceedings of the 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'16). P1775-1784

  • K. Ting, Y. Zhu, M. Carman, Y. Zhu and Z.-H. Zhou. Overcoming key weaknesses of distance-based neighbourhood methods using a data dependent dissimilarity measure. In: Proceedings of the 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'16). P1205-1214

  • H. Wang, S.-B. Wang and Y.-F. Li. Instance selection Method for Improving Graph-Based Semi-supervised Learning. In: Proceedings of the 14th Pacific Rim International Conference on Artificial Intelligence (PRICAI'16). P565-573

  • X.-D. Wang and Z.-H. Zhou. Facial age estimation by total order preserving projections. In: Proceedings of the 14th Pacific Rim International Conference on Artificial Intelligence (PRICAI'16). P603-615

  • H. Wang and Y. Yu. Exploring multi-action relationship in reinforcement learning. In: Proceedings of the 14th Pacific Rim International Conference on Artificial Intelligence (PRICAI'16). P574–587

  • H. Qian and Y. Yu. On sampling and classification optimization in discrete domains. In: Proceedings of the 2016 IEEE Congress on Evolutionary Computation (CEC'16). P4374-4381

  • J. Chen, T. Yang, Q. Lin, L.-J. Zhang and Y. Chang. Optimal stochastic strongly convex optimization with a logarithmic number of projections. In: Proceedings of the 32nd Conference on Uncertainty in Artificial Intelligence (UAI'16). P122-131

  • H. Yang, T. Zhou, Y. Zhang, B. Gao, J. Wu and J. Cai. Exploit bounding box annotations for multi-label object recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR'16). P280-288

  • L.-J. Zhang, T. Yang, R. Jin, Y. Xiao and Z.-H. Zhou. Online stochastic linear optimization under one-bit feedback. In: Proceedings of the 33rd International Conference on Machine Learning (ICML'16). P392- 401

  • T. Yang, L.-J. Zhang, R. Jin and J. Yi. Tracking slowly moving clairvoyant: optimal dynamic regret of online learning with true and noisy gradient. In: Proceedings of the 33rd International Conference on Machine Learning (ICML'16). P449– 457

  • L. Wang and Z.-H. Zhou. Cost-Saving effect of crowdsourcing learning. In: Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI'16). P2111- 2117

  • X. Huo, M. Li and Z.-H. Zhou. Learning unified features from natural and programming languages for locating buggy source codes. In: Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI'16). P1606-1612

  • Y. Yang, D.-C. Zhan and Y. Jiang. Learning by actively querying strong modal features. In: Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI'16). P2280-2286

  • H. Qian, Y.-Q. Hu and Y. Yu. Derivative-Free optimization of high-dimensional non-convex Functions by sequential random embeddings. In: Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI'16). P1946-1952

  • W.-J. Li, S. Wang and W.-C. Kang. Feature learning based deep supervised hashing with pairwise labels. In: Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI'16). P1711-1717

  • Y.-F. Li, S.-B. Wang and Z.-H. Zhou. Graph quality judgement: a Large margin expedition. In: Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI'16). P1725-1731

  • L. Liu, T. Dietterich, N. Li and Z.-H. Zhou. Transductive optimization of top k precision. In: Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI'16). P1781-1787

  • C. Qian, J. Shi, Y. Yu, K. Tang and Z.-H. Zhou. Parallel pareto optimization for subset selection. In: Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI'16). P1939-1945

  • Y. Yu, P.-F. Hou, Q. Da and Y. Qian. Boosting nonparametric policies. In: Proceedings of the 2016 International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS'16). P477- 484

  • X. Liu, C. Aggarwal, Y.-F. Li, X. Kong, X. Sun and S. Sathe. Kernelized matrix factorization for collaborative filtering. In: Proceedings of SIAM International Conference on Data Mining (SDM'16). P399-416

  • H.-P. Lu, J.-X. Wu and Y. Zhang. Learning Compact Binary Codes from Higher-Order Tensors via Free-Form Reshaping and Binarized Multilinear PCA. In: Proceedings of the Annual International Joint Conference on Neural Networks (IJCNN'16). P3008-3015

  • Z.-C. Huang and D.-C. Zhan. Positive Instance Detection based Multi-Instance Learning via Linearly Localized Interpolation. In: Proceedings of the 2016 International Conference on Intelligence Science and Big Data Engineering (ISCIDE'16).

  • W.-H. Zheng and M. Li. Exploiting heterogeneous data on software development Q&A forum for best answer prediction. In: Proceedings of the 2016 International Conference on Intelligence Science and Big Data Engineering (ISCIDE'16).

  • W. Gao, L. Wang, Y.-F. Li and Z.-H. Zhou. Risk minimization in the presence of label noise. In: Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI'16). P1575-1581

  • D.-C. Zhan, P. Hu, Z. Chu and Z.-H. Zhou. Learning expected hitting time distance. In: Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI'16). P2309-2314

  • W.-C. Kang, W.-J. Li and Z.-H. Zhou. Column sampling based discrete supervised hashing. In: Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI'16). P1230-1236

  • H.-J. Ye, D.-C. Zhan, and Y. Jiang. Instance specific metric subspace learning: A bayesian approach. In: Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI'16). P2272-2278

  • Y. Yu, H. Qian and Y.-Q. Hu. Derivative-free optimization via classification. In: Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI'16). P2286-2292

  • H. Qian and Y. Yu. Scaling simultaneous optimistic optimization for high-dimensional non-convex functions with low effective dimensions. In: Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI'16). P2000-2006

  • S.-Y. Zhao and W.-J. Li. Fast asynchronous parallel stochastic gradient descent: A lock-free approach with convergence guarantee. In: Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI'16). P2379-2385

  • Y.-F. Li, J. Kwok, and Z.-H. Zhou. Towards safe semi-supervised learning for multivariate performance measures. In: Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI'16). P1816-1822

  • L.-J. Zhang, T. Yang, J. Yi, R. Jin and Z.-H. Zhou. Stochastic optimization for kernel PCA. In: Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI'16). P2315-2322

  • J.-X. Wu, B.-B. Gao and G. Liu. Representing sets of instances for visual recognition. In: Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI'16). P2237-2243

  • Z. Li, T. Yang, L.-J. Zhang, and R. Jin. Fast and accurate refined nystrom based kernel SVM. In: Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI'16). P1830-1836

  • Y.-T. Qiang, Y. Fu, Y. Guo, Z.-H. Zhou and L. Sigal. Learning to generate posters of scientic papers. In: Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI'16). P51-57

  • W. Zhang, L.-J. Zhang, R. Jin, D. Cai and X. He. Accelerated sparse linear regression via random projection. In: Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI'16). P2337-2343

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Journal Article and Book

  • 周志华*《机器学习》.清华大学出版.中文专著 ISBN: 978-7 -302-42328-7

  • Y.-H. Zhou and Z.-H. Zhou. Large margin distirbution learning with cost interval and unlabeled data. IEEE Transactions on Knowledge and Data Engineering. Vol. 28 No.7 P1749-1763

  • W. Gao, L. Wang, R. Jin. S. Zhu and Z.-H. Zhou. One-Pass AUC optimization. Artificial Intelligence. Vol. 236 P1-29

  • X. He, C. Zhang, L.-J. Zhang, and X. Li. A-Optimal Projection for Image Representation. IEEE Transactions on Pattern Analysis & Machine Intelligence. Vol.38 No.5 P1009-1015

  • Y. Zhang, L. Cheng, J. Wu, J. Cai, M. Do and J. Lu. Action recognition in still images with minimum annotation efforts. IEEE Transactions on Image Processing. Vol. 25 No. 11 P5479-5490

  • Y. Zhang, J. Wu and J. Cai. Compact representation of high-dimensional feature vectors for large-scale image recognition and retrieval. IEEE Transactions on Image Processing. Vol. 25 No. 5 P2407-2419.

  • W. Lin, Y. Mi, W. Wang, J. Wu, J. Wang and T. Mei. A diffusion and clustering-based approach for finding coherent motions and understanding crowd scenes. IEEE Transactions on Image Processing. Vol. 25 No. 4 P1674-1687

  • Y. Zhang, X. Wei, J. Wu, J. Cai, J. Lu, V. Nguyen and M. Do. Weakly Supervised Fine-Grained Categorization with Part-Based Image Representation. IEEE Transactions on Image Processing. Vol. 25 No.4 P1713-1725.

  • X. Wei and Z.-H. Zhou. An empirical study on image bag generators for multi-instance learning. Machine Learning. Vol. 105 No. 2 P155-198

  • W. Gao and Z.-H. Zhou. Dropout radermacher complexity of deep neural networks. Science China: Information Sciences. Vol. 59 Article 12

  • J. Wu, Y. Zhang and W. Lin. Good practices for learning to recognize actions using FV and VLAD. IEEE Transactions on Cybernetics. Vol. 46 No. 12 P2978-2990.

  • Y. Fu, H. Xiong, Y. Ge, Y. Zheng, Z. Yao, and Z.-H. Zhou. Modeling of geographical dependencies for real estate appraisal. ACM Transactions on Knowledge Discovery from Data. Vol. 11 No. 1 Article 11

  • Z.-H. Zhou. Learnware: On the future of machine learning. Frontiers of Computer Science. Vol. 10 No. 4 P589-590

  • G. Zhou, J. Wu, C. Zhang and Z.-H. Zhou. Minimal gated unit for recurrent neural networks. International Journal of Automation and Computing. Vol. 13 No. 3 P226-234.

  • C. Qian, Y. Yu, and Z.-H. Zhou. Analyzing evolutionary optimization in noisy environments. Evolutionary Computation, in press. (CORR abs/1311.4987)

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