Jia Wu
Jia Wu
Associate Professor, School of Computing, Macquarie University, Sydney, Australia
Verified email at - Homepage
Cited by
Cited by
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
Tri-party deep network representation
S Pan, J Wu, X Zhu, C Zhang, Y Wang
International Joint Conference on Artificial Intelligence 2016, 1895-1901, 2016
A comprehensive survey on graph anomaly detection with deep learning
X Ma, J Wu, S Xue, J Yang, C Zhou, QZ Sheng, H Xiong, L Akoglu
IEEE Transactions on Knowledge and Data Engineering 35 (12), 12012-12038, 2021
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
A comprehensive survey on pretrained foundation models: A history from bert to chatgpt
C Zhou, Q Li, C Li, J Yu, Y Liu, G Wang, K Zhang, C Ji, Q Yan, L He, ...
arXiv preprint arXiv:2302.09419, 2023
A comprehensive survey on community detection with deep learning
X Su, S Xue, F Liu, J Wu, J Yang, C Zhou, W Hu, C Paris, S Nepal, D Jin, ...
IEEE Transactions on Neural Networks and Learning Systems, 2022
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
A survey of community detection approaches: From statistical modeling to deep learning
D Jin, Z Yu, P Jiao, S Pan, D He, J Wu, SY Philip, W Zhang
IEEE Transactions on Knowledge and Data Engineering 35 (2), 1149-1170, 2021
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
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
Sugar: Subgraph neural network with reinforcement pooling and self-supervised mutual information mechanism
Q Sun, J Li, H Peng, J Wu, Y Ning, PS Yu, L He
Proceedings of the web conference 2021, 2081-2091, 2021
Neighborhood-Aware Attentional Representation for Multilingual Knowledge Graphs.
Q Zhu, X Zhou, J Wu, J Tan, L Guo
ijcai, 1943-1949, 2019
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
A deep framework for cross-domain and cross-system recommendations
F Zhu, Y Wang, C Chen, G Liu, M Orgun, J Wu
arXiv preprint arXiv:2009.06215, 2020
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
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
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
Graph structure learning with variational information bottleneck
Q Sun, J Li, H Peng, J Wu, X Fu, C Ji, SY Philip
Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 4165-4174, 2022
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
Boosting for multi-graph classification
J Wu, S Pan, X Zhu, Z Cai
IEEE transactions on cybernetics 45 (3), 416-429, 2014
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