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
Research areas
- FinTech
- Deep Reinforcement Learning
- Natural Language Processing (NLP)
- Large Language Models
Person Types
- Staff
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):
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SDG 3 Good Health and Well-being -
SDG 7 Affordable and Clean Energy -
SDG 12 Responsible Consumption and Production
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Collaborations and top research areas from the last five years
Projects
- 4 Active
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Innovative Syntegrative Education: Emotions Understanding in Human–Robot Interaction through Industry-Engaged Project-Based Learning
Li, C. (PI), Su, J. (Team member), Zhou, M. (Team member), Dang, K. (Team member), Jiang, Z. (Team member), Bai, T. (Team member), Hasan, M. M. (Team member), Stefanidis, A. (Team member), Zhong, H. (Team member), Hu, B. (Team member), Dong, Y. (Team member), Chen, S.-H. (Team member), Zhang, J. (Team member) & Sun, H. (Team member)
1/01/26 → 31/12/28
Project: Internal Research Project
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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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DeepGB-TB: A Risk-Balanced Cross-Attention Gradient-Boosted Convolutional Network for Rapid, Interpretable Tuberculosis Screening: DeepGB-TB
Lu, Z., Li, Y., Tang, F., Jiang, Z., Li, C., Zhou, M., Li, T. & Su, J., 14 Mar 2026, Proceeding of the 40th Annual AAAI Conference on Artificial Intelligence: AAAI 2026. AAAI press, Vol. 40. p. 38989-38997 9 p. 46Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
Open AccessFile13 Downloads (Pure) -
HAA-Fin: A Hierarchical Agentic Architecture for Efficient Multimodal Financial Regulation Parsing: HAA-Fin
Lu, Z., Yan, Q., Deng, X. & Jiang, Z., 5 Jul 2026, The IEEE International Conference on Multimedia & Expo 2026: ICME 2026. IEEE Press, p. 1-6 6 p. 1Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
Open AccessFile34 Downloads (Pure) -
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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MTS: A deep reinforcement learning portfolio management framework with time-awareness and short-selling
Gu, F., Jiang, Z., García-Fernández, Á. F., Stefanidis, A., Su, J. & Li, H., 2026, (Accepted/In press) In: Intelligent Data Analysis.Research output: Contribution to journal › Article › peer-review
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SAGE: Sustainable Agent-Guided Expert-tuning for Culturally Attuned Translation in Low-Resource Southeast Asia: SAGE
Lu, Z., Zhang, C., Li, Y., Stefanidis, A., Nguyen, A., Razzak, I., Su, J. & Jiang, Z., 12 Apr 2026, The Web Conference 2026 : WWW 2026. Association for Computing Machinery (ACM), p. 9101 - 9112 12 p.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
Open AccessFile59 Downloads (Pure)