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Publication History 2016
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Conference Paper
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Journal Article
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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
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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
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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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