Runda Jia

22 papers Journal 22
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 Self-Healing Predictive Control Method for Discrete-Time Nonlinear Systems.
IEEE CAA J. Autom. Sinica
Shulei Zhang, Runda Jia
2025 J jnl
A Tube-NMPC Approach for Robust Control of Glucose in Type 1 Diabetes Mellitus.
IEEE Trans Autom. Sci. Eng.
Runda Jia, Xiaoyi Zhao, Shulei Zhang, Xia Yu
2025 J jnl
A meta-contrastive learning hybrid model for adaptive temperature trend prediction in variable ladle preheating.
Eng. Appl. Artif. Intell.
Youcheng Zong, Runda Jia, Shuai Wu, Liqiang Zhang, Dakuo He
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
Robust operating performance assessment of flotation processes using convolutional neural networks and feature learning.
Adv. Eng. Informatics
Runda Jia, Mingxuan Ren, Jinglong Wang, Feng Yu, 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
2025 J jnl
Structure identification of time delay polynomial Hammerstein models.
Autom.
Feng Yu, Dakuo He, Runda Jia, Zhizhong Mao
2024 J jnl
Application of Robust Model Predictive Control Using Principal Component Analysis to an Industrial Thickener.
IEEE Trans. Control. Syst. Technol.
Runda Jia, Fengqi You
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
2024 J jnl
Stable predictive control of continuous stirred-tank reactors using deep learning.
Inf. Sci.
Shulei Zhang, Runda Jia, Yankai Cao, Dakuo He, Feng Yu
2023 J jnl
Collaborative Optimization Framework for the Industrial Thickening-Dewatering Process Based on Mixed Integer Linear Programming.
IEEE Trans. Instrum. Meas.
Shulei Zhang, Runda Jia, Hengxin Pan, Dakuo He, Kang Li
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
2022 J jnl
A general data-driven nonlinear robust optimization framework based on statistic limit and principal component analysis.
Comput. Chem. Eng.
Shulei Zhang, Runda Jia, Dakuo He, Fei Chu, Zhizhong Mao
2021 J jnl
A process transfer model-based optimal compensation control strategy for batch process using just-in-time learning and trust region method.
J. Frankl. Inst.
Fei Chu, Xiang Cheng, Chuang Peng, Runda Jia, Tao Chen, Qinglai Wei
2020 J jnl
Transfer learning for end-product quality prediction of batch processes using domain-adaption joint-Y PLS.
Comput. Chem. Eng.
Runda Jia, Shulei Zhang, Fengqi You
2019 J jnl
Ensemble regularized local finite impulse response models and soft sensor application in nonlinear dynamic industrial processes.
Appl. Soft Comput.
Xiaolong Chen, Zhizhong Mao, Runda Jia, Shuning Zhang
2019 J jnl
Gold Recovery Modeling Based on Interval Prediction for a Gold Cyanidation Leaching Plant.
IEEE Access
Jun Zhang, Hua Yan, Hong-Xia Yu, Zhong-da Tian, Runda Jia
2017 J jnl
Rapid Modeling Method for Performance Prediction of Centrifugal Compressor Based on Model Migration and SVM.
IEEE Access
Fei Chu, Bangwu Dai, Wei Dai, Runda Jia, Xiaoping Ma, Fuli Wang
2012 J jnl
Real-time product quality control for batch processes based on stacked least-squares support vector regression models.
Comput. Chem. Eng.
Shuning Zhang, Fuli Wang, Dakuo He, Runda Jia