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Meng Qinxue
Meng Qinxue
Verified email at uts.edu.au
Title
Cited by
Cited by
Year
Training deep neural networks on imbalanced data sets
S Wang, W Liu, J Wu, L Cao, Q Meng, PJ Kennedy
Neural Networks (IJCNN), 2016 International Joint Conference on, 4368-4374, 2016
5152016
Relational autoencoder for feature extraction
Q Meng, D Catchpoole, D Skillicom, PJ Kennedy
2017 International Joint Conference on Neural Networks (IJCNN), 364-371, 2017
2422017
Scholarly paper recommendation based on social awareness and folksonomy
NY Asabere, F Xia, Q Meng, F Li, H Liu
International Journal of Parallel, Emergent and Distributed Systems 30 (3 …, 2015
392015
L-SHADE-E: Ensemble of two differential evolution algorithms originating from L-SHADE
X Wang, C Li, J Zhu, Q Meng
Information Sciences 552, 201-219, 2021
312021
Discovering influential authors in heterogeneous academic networks by a co-ranking method
Q Meng, PJ Kennedy
Proceedings of the 22nd ACM international conference on Conference on …, 2013
182013
Dynamic island model based on spectral clustering in genetic algorithm
Q Meng, J Wu, J Ellis, PJ Kennedy
2017 International Joint Conference on Neural Networks (IJCNN), 1724-1731, 2017
162017
Community detection on heterogeneous networks by multiple semantic-path clustering
Q Meng, S Tafavogh, PJ Kennedy
Computational Aspects of Social Networks (CASoN), 2014 6th International …, 2014
162014
DBNorm: normalizing high-density oligonucleotide microarray data based on distributions
Q Meng, D Catchpoole, D Skillicorn, PJ Kennedy
BMC bioinformatics 18 (1), 527, 2017
152017
Using field of research codes to discover research groups from co-authorship networks
Q Meng, PJ Kennedy
Proceedings of the 2012 International Conference on Advances in Social …, 2012
82012
Customer Churn Prediction in Superannuation: A Sequential Pattern Mining Approach
B Culbert, B Fu, J Brownlow, C Chu, Q Meng, G Xu
Australasian Database Conference, 123-134, 2018
62018
Determining the number of clusters in co-authorship networks using social network theory
Q Meng, PJ Kennedy
Cloud and Green Computing (CGC), 2012 Second International Conference on …, 2012
52012
Cost-Sensitive Churn Prediction in Fund Management Services
J Brownlow, C Chu, B Fu, G Xu, B Culbert, Q Meng
International Conference on Database Systems for Advanced Applications, 776-788, 2018
42018
Automated quantitative and qualitative analysis of the whole slide images of neuroblastoma tumour for making a prognosis decision
S Tafavogh, Q Meng, D Catchpoole, P Kennedy
Proceedings of the IASTED 11th International Conference on Biomedical …, 2014
42014
Survey on spectral clustering and its applications in social networks
Q Meng, PJ Kennedy
Jisuanji Gongcheng yu Yingyong(Computer Engineering and Applications) 49 (3 …, 2013
32013
A Multiple Source based Transfer Learning Framework for Marketing Campaigns
J Brownlow, C Chu, G Xu, B Culbert, B Fu, Q Meng
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
22018
Using network evolution theory and singular value decomposition method to improve accuracy of link prediction in social networks
Q Meng, PJ Kennedy
Proceedings of the Tenth Australasian Data Mining Conference-Volume 134, 175-181, 2012
22012
Combining heterogeneous features for time series prediction
C Chu, J Brownlow, Q Meng, B Fu, B Culbert, M Zhu, G Xu, X He
Behavioral, Economic, Socio-cultural Computing (BESC), 2017 International …, 2017
12017
Insights from using a subject specific Facebook group for student engagement and learning
K Willey, Q Meng, AP Gardner
Research in Engineering Education Symposium 2015, 2015
2015
Heterogeneous network analysis on academic collaboration networks
Q Meng
2014
Master Assessment
Q Meng
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Articles 1–20