Safe reinforcement learning for industrial optimal control: A case study from metallurgical industry. - Jun Zheng 018; Runda Jia; Shaoning Liu; Dakuo He; Kang Li; Fuli Wang (Inf. Sci., 2023)

An adaptive tradeoff evolutionary algorithm with composite differential evolution for constrained multi-objective optimization. - Jian Feng 001; Shaoning Liu; Shengxiang Yang; Jun Zheng 018; Jinze Liu (Swarm Evol. Comput., 2023)

Sample-efficient reinforcement learning with knowledge-embedded hybrid model for optimal control of mining industry. - Jun Zheng 018; Runda Jia; Shaoning Liu; Dakuo He; Kang Li; Fuli Wang (Expert Syst. Appl., 2024)

Safe coordinated optimization of the thickening-dewatering process via reinforcement learning with real-time human guidance. - Ranmeng Lin; Runda Jia; Fengyang Jiang; Jun Zheng 018; Dakuo He; Kang Li; Fuli Wang (Neurocomputing, 2025)

A population game-based knowledge transfer strategy for constrained multi-objective optimization. - Shaoning Liu; Jian Feng 001; Shengxiang Yang; Jun Zheng 018 (Swarm Evol. Comput., 2025)

A knowledge transfer-based strategy for constrained multiobjective optimization. - Shaoning Liu; Jian Feng 001; Shengxiang Yang; Jun Zheng 018; Yu Yao 009 (Swarm Evol. Comput., 2025)

Feature Extraction for Mining Industry Image Based on SAM: A Case Study From Froth Flotation. - Runda Jia; Jinglong Wang; Jun Zheng 018; Jiahao Li; Dakuo He (IEEE Trans. Ind. Informatics, 2025)

A Coevolutionary Algorithm With Detection and Supervision Strategies for Constrained Multiobjective Optimization. - Shaoning Liu; Jian Feng 001; Shengxiang Yang; Jun Zheng 018; Qi Xiao (IEEE Trans. Evol. Comput., 2025)

Imperfect experience-guided reinforcement learning for coordinated optimization of the thickening-dewatering process. - Ranmeng Lin; Runda Jia; Jun Zheng 018; Dakuo He; Kang Li; Fuli Wang (Appl. Soft Comput., 2026)

DROP: Dynamics-aware representation learning for offline reinforcement learning. - Jun Zheng 018; Runda Jia; Shaoning Liu; Ranmeng Lin; Dakuo He; Fuli Wang (Appl. Soft Comput., 2026)

Efficient hybrid reinforcement learning: Boosting sample efficiency in online learning with offline data and dynamics representation learning. - Jun Zheng 018; Runda Jia; Shaoning Liu; Dakuo He (Expert Syst. Appl., 2026)

Offline-to-online reinforcement learning with efficient unconstrained fine-tuning. - Jun Zheng 018; Runda Jia; Shaoning Liu; Ranmeng Lin; Dakuo He; Fuli Wang (Neural Networks, 2026)