Zhenyong Jiang received his B.S. degree in financial mathematics from the School of Science, Xi’an Jiaotong-Liverpool University, China, in 2017. He received his Ph.D. degree in Electrical and Electronic Engineering in the school of Electrical Engineering, Electronics and Computer Science, University of Liverpool based in Xi'an Jiaotong-Liverpool University, China in July 2022. His research interests include the application of machine learning methods in portfolio management, medical image Classification with Big Data and Deep Learning and distributed computing technology.
Ph.D., University of Liverpool -2022
Electrocardiogram or Electroencephalogram Classification with Big Data and Deep Learning.
Application of machine learning methods in portfolio management
Liu, S., Wen, Z., Su, J., Chong, A., Kong, S., Jiang, Z. (2020). Social Trust, Trust Differential, and Radius of Trust on Volunteering: Evidence from the Hong Kong Chinese. Journal of Social Service Research, 276-291.
Song, Z., Wang, Y., Qian, P., Song, S., Su, J., Coenen, F., Jiang, Z. (2022). From Deterministic to Stochastic: An Interpretable Stochastic Model-free Reinforcement Learning Framework for Portfolio Optimization. Applied Intelligence.
Gao, Y., Gao, Z., Hu, Y., Song, S., Jiang, Z., Su, J. (2021). A Framework of Hierarchical Deep Q-Network for Portfolio Management. International Conference on Agents and Artificial Intelligence, 132-140.
Sun, R., Jiang, Z., Su, J. (2021). A Deep Residual Shrinkage Neural Network-based Deep Reinforcement Learning Strategy in Financial Portfolio Management. IEEE International Conference on Big Data Analytics (ICBDA), 76-86.
Jiang, Z., Coenen, F. (2018). Long short-term memory-based multi-period price prediction for portfolio management. International Conference on Machine Learning and Data Mining, 187-200.