Jun Zheng

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
DROP: Dynamics-aware representation learning for offline reinforcement learning.
Appl. Soft Comput.
Jun Zheng, Runda Jia, Shaoning Liu, Ranmeng Lin, Dakuo He, Fuli Wang
2026 J jnl
Efficient hybrid reinforcement learning: Boosting sample efficiency in online learning with offline data and dynamics representation learning.
Expert Syst. Appl.
Jun Zheng, Runda Jia, Shaoning Liu, Dakuo He
2026 J jnl
Offline-to-online reinforcement learning with efficient unconstrained fine-tuning.
Neural Networks
Jun Zheng, Runda Jia, Shaoning Liu, Ranmeng Lin, Dakuo He, Fuli Wang
2025 J jnl
A Coevolutionary Algorithm With Detection and Supervision Strategies for Constrained Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Shaoning Liu, Jian Feng, Shengxiang Yang, Jun Zheng, Qi Xiao
2025 J jnl
A knowledge transfer-based strategy for constrained multiobjective optimization.
Swarm Evol. Comput.
Shaoning Liu, Jian Feng, Shengxiang Yang, Jun Zheng, Yu Yao
2025 J jnl
A population game-based knowledge transfer strategy for constrained multi-objective optimization.
Swarm Evol. Comput.
Shaoning Liu, Jian Feng, Shengxiang Yang, Jun Zheng
2025 J jnl
Feature Extraction for Mining Industry Image Based on SAM: A Case Study From Froth Flotation.
IEEE Trans. Ind. Informatics
Runda Jia, Jinglong Wang, Jun Zheng, Jiahao Li, Dakuo He
2025 J jnl
Safe coordinated optimization of the thickening-dewatering process via reinforcement learning with real-time human guidance.
Neurocomputing
Ranmeng Lin, Runda Jia, Fengyang Jiang, Jun Zheng, Dakuo He, Kang Li, Fuli Wang
2024 J jnl
Sample-efficient reinforcement learning with knowledge-embedded hybrid model for optimal control of mining industry.
Expert Syst. Appl.
Jun Zheng, Runda Jia, Shaoning Liu, Dakuo He, Kang Li, Fuli Wang
2023 J jnl
An adaptive tradeoff evolutionary algorithm with composite differential evolution for constrained multi-objective optimization.
Swarm Evol. Comput.
Jian Feng, Shaoning Liu, Shengxiang Yang, Jun Zheng, Jinze Liu
2023 J jnl
Safe reinforcement learning for industrial optimal control: A case study from metallurgical industry.
Inf. Sci.
Jun Zheng, Runda Jia, Shaoning Liu, Dakuo He, Kang Li, Fuli Wang