JIA WU
TitleCited byYear
Tri-party deep network representation
S Pan, J Wu, X Zhu, C Zhang, Y Wang
Network 11 (9), 12, 2016
1862016
Stacked convolutional denoising auto-encoders for feature representation
B Du, W Xiong, J Wu, L Zhang, L Zhang, D Tao
IEEE transactions on cybernetics 47 (4), 1017-1027, 2016
1712016
Training deep neural networks on imbalanced data sets
S Wang, W Liu, J Wu, L Cao, Q Meng, PJ Kennedy
2016 international joint conference on neural networks (IJCNN), 4368-4374, 2016
922016
Boosting for multi-graph classification
J Wu, S Pan, X Zhu, Z Cai
IEEE transactions on cybernetics 45 (3), 416-429, 2014
712014
Bag constrained structure pattern mining for multi-graph classification
J Wu, X Zhu, C Zhang, SY Philip
Ieee transactions on knowledge and data engineering 26 (10), 2382-2396, 2014
712014
Attribute weighting via differential evolution algorithm for attribute weighted naive bayes (wnb)
J Wu, Z Cai
Journal of Computational Information Systems 7 (5), 1672-1679, 2011
622011
Graph ensemble boosting for imbalanced noisy graph stream classification
S Pan, J Wu, X Zhu, C Zhang
IEEE transactions on cybernetics 45 (5), 954-968, 2014
542014
Self-adaptive attribute weighting for Naive Bayes classification
J Wu, S Pan, X Zhu, Z Cai, P Zhang, C Zhang
Expert Systems with Applications 42 (3), 1487-1502, 2015
512015
Multiple structure-view learning for graph classification
J Wu, S Pan, X Zhu, C Zhang, SY Philip
IEEE transactions on neural networks and learning systems 29 (7), 3236-3251, 2017
462017
Positive and unlabeled multi-graph learning
J Wu, S Pan, X Zhu, C Zhang, X Wu
Ieee transactions on cybernetics 47 (4), 818-829, 2016
422016
CogBoost: Boosting for fast cost-sensitive graph classification
S Pan, J Wu, X Zhu
IEEE Transactions on Knowledge and Data Engineering 27 (11), 2933-2946, 2015
392015
Memetic extreme learning machine
Y Zhang, J Wu, Z Cai, P Zhang, L Chen
Pattern Recognition 58, 135-148, 2016
362016
A naive Bayes probability estimation model based on self-adaptive differential evolution
J Wu, Z Cai
Journal of Intelligent Information Systems 42 (3), 671-694, 2014
362014
Sode: Self-adaptive one-dependence estimators for classification
J Wu, S Pan, X Zhu, P Zhang, C Zhang
Pattern Recognition 51, 358-377, 2016
352016
Finding the best not the most: regularized loss minimization subgraph selection for graph classification
S Pan, J Wu, X Zhu, G Long, C Zhang
Pattern Recognition 48 (11), 3783-3796, 2015
332015
Multi-graph-view learning for graph classification
J Wu, Z Hong, S Pan, X Zhu, Z Cai, C Zhang
2014 IEEE International Conference on Data Mining, 590-599, 2014
332014
Self-adaptive probability estimation for naive bayes classification
J Wu, Z Cai, X Zhu
The 2013 International Joint Conference on Neural Networks (IJCNN), 1-8, 2013
322013
Hybrid dynamic k–nearest–neighbour and distance and attribute weighted method for classification
J Wu, Z Cai, S Ao
International Journal of Computer Applications in Technology 43 (4), 378-384, 2012
302012
Joint structure feature exploration and regularization for multi-task graph classification
S Pan, J Wu, X Zhu, C Zhang, SY Philip
IEEE Transactions on Knowledge and Data Engineering 28 (3), 715-728, 2015
292015
Task sensitive feature exploration and learning for multitask graph classification
S Pan, J Wu, X Zhu, G Long, C Zhang
IEEE transactions on cybernetics 47 (3), 744-758, 2016
272016
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