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Jia Wu
Jia Wu
Associate Professor, School of Computing, Macquarie University, Sydney, Australia
Verified email at mq.edu.au - Homepage
Title
Cited by
Cited by
Year
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, 2021
6112021
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
5112016
Tri-party deep network representation
S Pan, J Wu, X Zhu, C Zhang, Y Wang
Network 11 (9), 12, 2016
5032016
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
4192016
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
3022020
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
2632023
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
2522021
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
242*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
2172018
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
1412018
Neighborhood-Aware Attentional Representation for Multilingual Knowledge Graphs.
Q Zhu, X Zhou, J Wu, J Tan, L Guo
IJCAI, 1943-1949, 2019
1402019
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
1292021
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
1292014
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
1222020
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
1192015
Boosting for multi-graph classification
J Wu, S Pan, X Zhu, Z Cai
IEEE transactions on cybernetics 45 (3), 416-429, 2014
1192014
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
1182019
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
1122019
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
1032011
A novel consistent random forest framework: Bernoulli random forests
Y Wang, ST Xia, Q Tang, J Wu, X Zhu
IEEE transactions on neural networks and learning systems 29 (8), 3510-3523, 2017
922017
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