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Publication History 2016

Year : [2019][2018][2017] [2016] [2015] [2014] [2013] [2012] [2011] [2010] [2009] [2008] [2007] [2006] [2005] [2004] [2003]

[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

Top

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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