Research output per year
Research output per year
Personal profile
Personal profile
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 Xian 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.
Research interests
Electrocardiogram or Electroencephalogram Classification with Big Data and Deep Learning.
Application of machine learning methods in portfolio management
Education/Academic qualification
Ph.D., University of Liverpool -2022
Person Types
- Staff
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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CAD: Clustering And Deep Reinforcement Learning Based Multi-Period Portfolio Management Strategy
Jiang, Z., Su, J., Liang, J. & Thiayagalingam, J., Oct 2023, (In preparation) arXiv.org . Vol. 2310.01319.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding
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From deterministic to stochastic: an interpretable stochastic model-free reinforcement learning framework for portfolio optimization
Song, Z., Wang, Y., Qian, P., Song, S., Coenen, F., Jiang, Z. & Su, J., Jun 2023, In: Applied Intelligence. 53, 12, p. 15188-15203 16 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
Improving Biomedical Claim Detection using Prompt Learning Approaches
Chen, T., Stefanidis, A., Jiang, Z. & Su, J., 2023, 2023 IEEE 4th International Conference on Pattern Recognition and Machine Learning, PRML 2023. Institute of Electrical and Electronics Engineers Inc., p. 369-376 8 p. (2023 IEEE 4th International Conference on Pattern Recognition and Machine Learning, PRML 2023).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Improving Biomedical Claim Detection using Prompt Learning Approaches
Chen, T., Su, J., Stefanidis, A. & Jiang, Z., 5 Jun 2023, (Accepted/In press) 2023 Ieee THE 4TH International Conference on Pattern Recognition and Machine Learning.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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A Deep Deterministic Policy Gradient-based Strategy for Stocks Portfolio Management
Zhang, H., Jiang, Z. & Su, J., 5 Mar 2021, 2021 IEEE 6th International Conference on Big Data Analytics, ICBDA 2021. Institute of Electrical and Electronics Engineers Inc., p. 230-238 9 p. 9403049. (2021 IEEE 6th International Conference on Big Data Analytics, ICBDA 2021).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
Open Access5 Citations (Scopus)