JIA WU
Title
Cited by
Cited by
Year
Tri-party deep network representation
S Pan, J Wu, X Zhu, C Zhang, Y Wang
Network 11 (9), 12, 2016
3582016
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
3172016
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
2852016
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
1172014
Infrared and visible image fusion via detail preserving adversarial learning
J Ma, P Liang, W Yu, C Chen, X Guo, J Wu, J Jiang
Information Fusion 54, 85-98, 2020
1122020
Boosting for multi-graph classification
J Wu, S Pan, X Zhu, Z Cai
IEEE transactions on cybernetics 45 (3), 416-429, 2014
1102014
A correlation-based feature weighting filter for Naive Bayes
L Jiang, L Zhang, C Li, J Wu
IEEE transactions on knowledge and data engineering 31 (2), 201-213, 2018
962018
Nonrigid point set registration with robust transformation learning under manifold regularization
J Ma, J Wu, J Zhao, J Jiang, H Zhou, QZ Sheng
IEEE transactions on neural networks and learning systems 30 (12), 3584-3597, 2018
862018
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
832015
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
812011
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
712014
Memetic extreme learning machine
Y Zhang, J Wu, Z Cai, P Zhang, L Chen
Pattern Recognition 58, 135-148, 2016
662016
Deep Learning for Community Detection: Progress, Challenges and Opportunities
PSY Fanzhen Liu, Shan Xue, Jia Wu, Chuan Zhou, Wenbin Hu, Cecile Paris ...
IJCAI, 4981-4987, 2020
63*2020
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
592017
Multi-instance learning with discriminative bag mapping
J Wu, S Pan, X Zhu, C Zhang, X Wu
IEEE Transactions on Knowledge and Data Engineering 30 (6), 1065-1080, 2018
522018
Neighborhood-Aware Attentional Representation for Multilingual Knowledge Graphs.
Q Zhu, X Zhou, J Wu, J Tan, L Guo
IJCAI, 1943-1949, 2019
512019
Time series feature learning with labeled and unlabeled data
H Wang, Q Zhang, J Wu, S Pan, Y Chen
Pattern Recognition 89, 55-66, 2019
502019
An unsupervised parameter learning model for RVFL neural network
Y Zhang, J Wu, Z Cai, B Du, SY Philip
Neural Networks 112, 85-97, 2019
502019
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
502016
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
502016
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