Jun Zheng

According to our database, Jun Zheng authored at least 12 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Offline-to-online reinforcement learning with efficient unconstrained fine-tuning.

Jun Zheng, Runda Jia, Shaoning Liu, Ranmeng Lin, Dakuo He, Fuli Wang

Neural Networks, 2026

Efficient hybrid reinforcement learning: Boosting sample efficiency in online learning with offline data and dynamics representation learning.

Jun Zheng, Runda Jia, Shaoning Liu, Dakuo He

Expert Syst. Appl., 2026

DROP: Dynamics-aware representation learning for offline reinforcement learning.

Jun Zheng, Runda Jia, Shaoning Liu, Ranmeng Lin, Dakuo He, Fuli Wang

Appl. Soft Comput., 2026

Imperfect experience-guided reinforcement learning for coordinated optimization of the thickening-dewatering process.

Ranmeng Lin, Runda Jia, Jun Zheng, Dakuo He, Kang Li, Fuli Wang

Appl. Soft Comput., 2026

2025

A Coevolutionary Algorithm With Detection and Supervision Strategies for Constrained Multiobjective Optimization.

Shaoning Liu, Jian Feng, Shengxiang Yang, Jun Zheng, Qi Xiao

IEEE Trans. Evol. Comput., December, 2025

Feature Extraction for Mining Industry Image Based on SAM: A Case Study From Froth Flotation.

Runda Jia, Jinglong Wang, Jun Zheng, Jiahao Li, Dakuo He

IEEE Trans. Ind. Informatics, October, 2025

A knowledge transfer-based strategy for constrained multiobjective optimization.

Shaoning Liu, Jian Feng, Shengxiang Yang, Jun Zheng, Yu Yao

Swarm Evol. Comput., 2025

A population game-based knowledge transfer strategy for constrained multi-objective optimization.

Shaoning Liu, Jian Feng, Shengxiang Yang, Jun Zheng

Swarm Evol. Comput., 2025

Safe coordinated optimization of the thickening-dewatering process via reinforcement learning with real-time human guidance.

Ranmeng Lin, Runda Jia, Fengyang Jiang, Jun Zheng, Dakuo He, Kang Li, Fuli Wang

Neurocomputing, 2025

2024

Sample-efficient reinforcement learning with knowledge-embedded hybrid model for optimal control of mining industry.

Jun Zheng, Runda Jia, Shaoning Liu, Dakuo He, Kang Li, Fuli Wang

Expert Syst. Appl., 2024

2023

An adaptive tradeoff evolutionary algorithm with composite differential evolution for constrained multi-objective optimization.

Jian Feng, Shaoning Liu, Shengxiang Yang, Jun Zheng, Jinze Liu

Swarm Evol. Comput., December, 2023

Safe reinforcement learning for industrial optimal control: A case study from metallurgical industry.

Jun Zheng, Runda Jia, Shaoning Liu, Dakuo He, Kang Li, Fuli Wang

Inf. Sci., November, 2023