Qinxue Meng

According to our database, Qinxue Meng authored at least 18 papers between 2012 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2021

L-SHADE-E: Ensemble of two differential evolution algorithms originating from L-SHADE.

Xinxin Wang, Chengjun Li, Jiarui Zhu, Qinxue Meng

Inf. Sci., 2021

2018

Relational Autoencoder for Feature Extraction.

Qinxue Meng, Daniel R. Catchpoole, David B. Skillicorn, Paul J. Kennedy

CoRR, 2018

Dynamic Island Model based on Spectral Clustering in Genetic Algorithm.

Qinxue Meng, Jia Wu, John Ellisy, Paul J. Kennedy

CoRR, 2018

A Multiple Source based Transfer Learning Framework for Marketing Campaigns.

James Brownlow, Charles Chu, Guandong Xu, Ben Culbert, Bin Fu, Qinxue Meng

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Cost-Sensitive Churn Prediction in Fund Management Services.

James Brownlow, Charles Chu, Bin Fu, Guandong Xu, Ben Culbert, Qinxue Meng

Proceedings of the Database Systems for Advanced Applications, 2018

Customer Churn Prediction in Superannuation: A Sequential Pattern Mining Approach.

Ben Culbert, Bin Fu, James Brownlow, Charles Chu, Qinxue Meng, Guandong Xu

Proceedings of the Databases Theory and Applications, 2018

2017

DBNorm: normalizing high-density oligonucleotide microarray data based on distributions.

Qinxue Meng, Daniel R. Catchpoole, David B. Skillicorn, Paul J. Kennedy

BMC Bioinform., 2017

Dynamic island model based on spectral clustering in genetic algorithm.

Qinxue Meng, Jia Wu, John T. Ellis, Paul J. Kennedy

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Relational autoencoder for feature extraction.

Qinxue Meng, Daniel R. Catchpoole, David Skillicom, Paul J. Kennedy

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Combining heterogeneous features for time series prediction.

Charles Chu, James Brownlow, Qinxue Meng, Bin Fu, Ben Culbert, Min Zhu, Guandong Xu, Xuezhong He

Proceedings of the 2017 International Conference on Behavioral, 2017

2016

Training deep neural networks on imbalanced data sets.

Shoujin Wang, Wei Liu, Jia Wu, Longbing Cao, Qinxue Meng, Paul J. Kennedy

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Scholarly paper recommendation based on social awareness and folksonomy.

Nana Yaw Asabere, Feng Xia, Qinxue Meng, Fengqi Li, Haifeng Liu

Int. J. Parallel Emergent Distributed Syst., 2015

2014

Heterogeneous network analysis on academic collaboration networks

Qinxue Meng

PhD thesis, 2014

Community detection on heterogeneous networks by multiple semantic-path clustering.

Qinxue Meng, Siamak Tafavogh, Paul J. Kennedy

Proceedings of the 6th International Conference on Computational Aspects of Social Networks, 2014

2013

Discovering influential authors in heterogeneous academic networks by a co-ranking method.

Qinxue Meng, Paul J. Kennedy

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012

Determining the Number of Clusters in Co-authorship Networks Using Social Network Theory.

Qinxue Meng, Paul J. Kennedy

Proceedings of the 2012 Second International Conference on Cloud and Green Computing, 2012

Using network evolution theory and singular value decomposition method to improve accuracy of link prediction in social networks.

Qinxue Meng, Paul J. Kennedy

Proceedings of the Tenth Australasian Data Mining Conference, AusDM 2012, Sydney, 2012

Using Field of Research Codes to Discover Research Groups from Co-authorship Networks.

Qinxue Meng, Paul J. Kennedy

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012