Projects 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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Projects
- 1 Active
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The development of training paradigms for large language models of text translation in low resource environments.
1/01/25 → 31/12/27
Project: Internal Research Project
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A novel multi-agent dynamic portfolio optimization learning system based on hierarchical deep reinforcement learning
Sun, R., Xi, Y., Stefanidis, A., Jiang, Z. & Su, J., Jul 2025, In: Complex and Intelligent Systems. 11, 7, 311.Research output: Contribution to journal › Article › peer-review
Open Access -
A novel multi-agent dynamic portfolio optimization learning system based on hierarchical deep reinforcement learning. Complex & intelligent system
Sun, R., Xi, Y., Stefanidis, A., Jiang, Z. & Su, J., 2025, (Accepted/In press) In: Complex and Intelligent Systems. 11, 311Research output: Contribution to journal › Article › peer-review
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Deep Multi-View Factor Entropy Pooling: A Novel Framework for Adaptive Portfolio Optimization
Christopher Tjahyadi, O., Su, J. & Jiang, Z., 2025, 2025 21st International Conference on Intelligent Computing.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Deep Reinforcement Learning-based Portfolio Optimization with Black-Litterman Model under Elliptical Distributions
Mikriukov, D., Sun, R. & Jiang, Z., 2025, (Accepted/In press) 2025 21st International Conference on Intelligent Computing.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Dual Core Portfolio Strategy: A Deep RL & Multi-Agent Portfolio Strategy
Cui, X., Sun, R., Zhou, M., Su, J., Wang, C. & Jiang, Z., 13 Jan 2025, Proceedings of 2024 International Conference on Mathematics and Machine Learning, ICMML 2024. Association for Computing Machinery, Inc, p. 147-153 7 p. (Proceedings of 2024 International Conference on Mathematics and Machine Learning, ICMML 2024).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review