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
2512016
Relational autoencoder for feature extraction
Q Meng, D Catchpoole, D Skillicom, PJ Kennedy
2017 International Joint Conference on Neural Networks (IJCNN), 364-371, 2017
832017
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
252015
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
172013
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
122014
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
92017
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
92012
DBNorm: normalizing high-density oligonucleotide microarray data based on distributions
Q Meng, D Catchpoole, D Skillicorn, PJ Kennedy
BMC bioinformatics 18 (1), 527, 2017
72017
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
62012
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
52014
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
32018
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
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
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
12018
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
12018
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
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
2021
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