Applying An Adaptive Multi-Population Optimization Algorithm to Enhance Machine Learning Models for Computational Finance. - Zhixi Li; Vincent W. L. Tam; Lawrence K. Yeung; Zhenglong Li 003 (HPCC/DSS/SmartCity, 2020)

Barrier Certified Safety Learning Control: When Sum-of-Square Programming Meets Reinforcement Learning. - Hejun Huang; Zhenglong Li 003; Dongkun Han (CCTA, 2022)

Enhancing a Multi-population Optimisation Approach with a Dynamic Transformation Scheme. - Shengqi Dai; Vincent W. L. Tam; Zhenglong Li 003; Lawrence K. Yeung (IEA/AIE, 2022)

A Hybrid Optimization Framework with Dynamic Transition Scheme for Large-Scale Portfolio Management. - Zhenglong Li 003; Vincent W. L. Tam (Algorithms, 2022)

Combining Reinforcement Learning and Barrier Functions for Adaptive Risk Management in Portfolio Optimization. - Zhenglong Li 003; Hejun Huang; Vincent W. L. Tam (CoRR, 2023)

Developing a Multi-agent and Self-adaptive Framework with Deep Reinforcement Learning for Dynamic Portfolio Risk Management. - Zhenglong Li 003; Vincent W. L. Tam; Kwan L. Yeung (AAMAS, 2024)

Developing An Attention-Based Ensemble Learning Framework for Financial Portfolio Optimisation. - Zhenglong Li 003; Vincent W. L. Tam (IJCNN, 2024)

AdaGuiDE: An adaptive and guided differential evolution for continuous optimization problems. - Zhenglong Li 003; Vincent W. L. Tam (Appl. Intell., 2024)

Investor Preference-Aware Portfolio Optimization with Deep Reinforcement Learning. - Zhenglong Li 003; Vincent W. L. Tam; Kwan L. Yeung (ICCE, 2025)

A Multimodal and Sentiment-Based Trading System for Financial Portfolio Optimisation. - Zhenglong Li 003; Vincent W. L. Tam; Kwan L. Yeung (ICCE, 2025)

Oracle: QoS-Aware Online Service Provisioning in Non-Terrestrial Networks with Safe Transfer Learning. - Shengyu Zhang; Songshi Dou; Zhenglong Li 003; Kwan L. Yeung; Tony Q. S. Quek (INFOCOM, 2025)