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
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Ph.D., University of Liverpool -2022
Research areas
- FinTech
- Deep Reinforcement Learning
- Natural Language Processing (NLP)
- Large Language Models
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
Projects
- 3 Active
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XJTLU-Deepleaper Instant Knowledge Engine Joint Laboratory
Zhou, M. (PI), Chen, B. (Team member), Su, J. (Team member), Jiang, Z. (Team member), Li, C. (Team member), Wang, R. (Team member), Zhang, X. (Team member), Nan, J. (Team member) & Yan, J. (Team member)
1/06/25 → 31/05/30
Project: Collaborative Research Project
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The development of training paradigms for large language models of text translation in low resource environments.
Jiang, Z. (PI)
1/01/25 → 31/12/27
Project: Internal Research Project
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Innovative Syntegrative Education initiative: BEng AI- AIAI XEC Pathway
Zhou, M. (PI), Stefanidis, A. (Team member), Su, J. (Team member), Hasan, M. M. (Team member), Chen, Q. (Team member), Li, C. (Team member), Dang, K. (Team member), Jiang, Z. (Team member), Lo, J. (Team member), Xiang, M. (Team member), Cao, N. (Team member), Huang, Y. (Team member), Kim, J. Y. (Team member), Zhang, J. (Team member), Zou, C. (Team member) & Sun, H. (Team member)
1/01/25 → 31/12/27
Project: Internal Research Project
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MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset
Wu, Z., Zhao, Q., Hu, M., Li, Y., Xue, H., Jiang, Z., Stefanidis, A., Wang, Q., Razzak, I., Ge, Z., He, J., Qiao, Y., Zheng, Z., Tang, F., Dang, K. & Su, J., 2026, Medical Image Computing and Computer Assisted Intervention, MICCAI 2025 - 28th International Conference, 2025, Proceedings. Gee, J. C., Hong, J., Sudre, C. H., Golland, P., Alexander, D. C., Iglesias, J. E., Venkataraman, A. & Kim, J. H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 378-388 11 p. (Lecture Notes in Computer Science; vol. 15961 LNCS).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Advancing Low-Resource Machine Translation: A Unified Data Selection and Scoring Optimization Framework
Lu, Z., Ji, P., Li, Y., Sun, D., Xue, C., Xue, H., Zhou, M., Stefanidis, A., Su, J. & Jiang, Z., 2025, Advanced Intelligent Computing Technology and Applications - 21st International Conference, ICIC 2025, Proceedings. Huang, D.-S., Zhang, Q., Zhang, C. & Chen, W. (eds.). Springer Science and Business Media Deutschland GmbH, p. 482-493 12 p. (Lecture Notes in Computer Science; vol. 15865 LNAI).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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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 Access4 Citations (Scopus) -
APMPO: A Portfolio Management Policy Optimization Framework with Adaptive Reinforcement Learning Algorithm
Gu, F., Jiang, Z., García-Fernández, Á. F., Stefanidis, A., Su, J. & Li, H., 2025, International Conference on Neural Information Processing.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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