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ORCIDZhenglong Li 0003
Person information
- affiliation: University of Hong Kong, Department of Electrical and Electronic Engineering, Pokfulam, Hong Kong
Other persons with the same name
- Zhenglong Li (aka: Zheng-Long Li) — disambiguation page
- Zhenglong Li 0001 — Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China
- Zhenglong Li 0002 — Pennsylvania State University, Geoinformation and Big Data Research Laboratory, University Park, PA, USA (and 1 more)
- Zhenglong Li 0004
![[0000-0003-1737-735X]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-1737-735X")
— University of Wisconsin-Madison, Space Science and Engineering Center, Madison, WI, USA
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2020 – today
- 2025
[c8]Zhenglong Li, Vincent W. L. Tam, Kwan L. Yeung:
Investor Preference-Aware Portfolio Optimization with Deep Reinforcement Learning. ICCE 2025: 1-4- [c7]Zhenglong Li, Vincent W. L. Tam, Kwan L. Yeung:
A Multimodal and Sentiment-Based Trading System for Financial Portfolio Optimisation. ICCE 2025: 1-6 - [c6]Shengyu Zhang, Songshi Dou, Zhenglong Li, Kwan L. Yeung, Tony Q. S. Quek:
Oracle: QoS-Aware Online Service Provisioning in Non-Terrestrial Networks with Safe Transfer Learning. INFOCOM 2025: 1-10 - 2024
- [j2]Zhenglong Li, Vincent W. L. Tam:
AdaGuiDE: An adaptive and guided differential evolution for continuous optimization problems. Appl. Intell. 54(21): 10833-10911 (2024) - [c5]Zhenglong Li, Vincent W. L. Tam, Kwan L. Yeung:
Developing a Multi-agent and Self-adaptive Framework with Deep Reinforcement Learning for Dynamic Portfolio Risk Management. AAMAS 2024: 1174-1182 - [c4]Zhenglong Li, Vincent W. L. Tam:
Developing An Attention-Based Ensemble Learning Framework for Financial Portfolio Optimisation. IJCNN 2024: 1-8 - [i4]Zhenglong Li, Vincent W. L. Tam, Kwan L. Yeung:
Developing A Multi-Agent and Self-Adaptive Framework with Deep Reinforcement Learning for Dynamic Portfolio Risk Management. CoRR abs/2402.00515 (2024) - [i3]Zhenglong Li, Vincent W. L. Tam:
Developing An Attention-Based Ensemble Learning Framework for Financial Portfolio Optimisation. CoRR abs/2404.08935 (2024) - 2023
- [i2]Zhenglong Li, Hejun Huang, Vincent W. L. Tam:
Combining Reinforcement Learning and Barrier Functions for Adaptive Risk Management in Portfolio Optimization. CoRR abs/2306.07013 (2023) - 2022
- [j1]Zhenglong Li, Vincent W. L. Tam:
A Hybrid Optimization Framework with Dynamic Transition Scheme for Large-Scale Portfolio Management. Algorithms 15(11): 404 (2022) - [c3]Hejun Huang, Zhenglong Li, Dongkun Han:
Barrier Certified Safety Learning Control: When Sum-of-Square Programming Meets Reinforcement Learning. CCTA 2022: 1190-1195 - [c2]Shengqi Dai, Vincent W. L. Tam, Zhenglong Li, Lawrence K. Yeung:
Enhancing a Multi-population Optimisation Approach with a Dynamic Transformation Scheme. IEA/AIE 2022: 199-210 - [i1]Hejun Huang, Zhenglong Li, Dongkun Han:
Barrier Certified Safety Learning Control: When Sum-of-Square Programming Meets Reinforcement Learning. CoRR abs/2206.07915 (2022) - 2020
- [c1]Zhixi Li, Vincent W. L. Tam, Lawrence K. Yeung, Zhenglong Li:
Applying An Adaptive Multi-Population Optimization Algorithm to Enhance Machine Learning Models for Computational Finance. HPCC/DSS/SmartCity 2020: 1322-1329
Coauthor Index
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