All Outputs (3)

An empirical study of the relationship between risk management capabilities and the use of financial derivatives: UK case studies (2020)
Thesis
Zhang, S. An empirical study of the relationship between risk management capabilities and the use of financial derivatives: UK case studies. (Thesis). Edinburgh Napier University. Retrieved from http://researchrepository.napier.ac.uk/Output/2704237

The main aim of this research is to propose a new perspective to explain the usage of financial derivatives by establishing the connection between a firm’s risk management capability (i.e., a combined power behind a variety of corporate attributes to... Read More about An empirical study of the relationship between risk management capabilities and the use of financial derivatives: UK case studies.

Learning from Few Samples with Memory Network (2017)
Journal Article
Zhang, S., Huang, K., Zhang, R., & Hussain, A. (2018). Learning from Few Samples with Memory Network. Cognitive Computation, 10(1), 15-22. https://doi.org/10.1007/s12559-017-9507-z

Neural networks (NN) have achieved great successes in pattern recognition and machine learning. However, the success of a NN usually relies on the provision of a sufficiently large number of data samples as training data. When fed with a limited data... Read More about Learning from Few Samples with Memory Network.

Improve deep learning with unsupervised objective (2017)
Conference Proceeding
Zhang, S., Huang, K., Zhang, R., & Hussain, A. (2017). Improve deep learning with unsupervised objective. . https://doi.org/10.1007/978-3-319-70087-8_74

We propose a novel approach capable of embedding the unsupervised objective into hidden layers of the deep neural network (DNN) for preserving important unsupervised information. To this end, we exploit a very simple yet effective unsupervised method... Read More about Improve deep learning with unsupervised objective.