Runda Jia

According to our database, Runda Jia authored at least 25 papers between 2012 and 2026.

Collaborative distances:

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

2026

Zero-Shot Capillary Segmentation in Dermoscopy Images via SAM2: A Case Study on Oral Mucosa.

Weilan Su, Youcheng Zong, Runda Jia, Jian Qin, Ming Li

IEEE J. Biomed. Health Informatics, May, 2026

LLM-driven human-AI collaborative decision support system for complex industrial processes: A case study in metallurgy.

Youcheng Zong, Runda Jia, Kang Li, Dazhan Xue, Liqiang Zhang, Dakuo He

Neural Networks, 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

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 Self-Healing Predictive Control Method for Discrete-Time Nonlinear Systems.

Shulei Zhang, Runda Jia

IEEE CAA J. Autom. Sinica, April, 2025

A Tube-NMPC Approach for Robust Control of Glucose in Type 1 Diabetes Mellitus.

Runda Jia, Xiaoyi Zhao, Shulei Zhang, Xia Yu

IEEE Trans Autom. Sci. Eng., 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

A meta-contrastive learning hybrid model for adaptive temperature trend prediction in variable ladle preheating.

Youcheng Zong, Runda Jia, Shuai Wu, Liqiang Zhang, Dakuo He

Eng. Appl. Artif. Intell., 2025

Structure identification of time delay polynomial Hammerstein models.

Feng Yu, Dakuo He, Runda Jia, Zhizhong Mao

Autom., 2025

Robust operating performance assessment of flotation processes using convolutional neural networks and feature learning.

Runda Jia, Mingxuan Ren, Jinglong Wang, Feng Yu, Dakuo He

Adv. Eng. Informatics, 2025

2024

Application of Robust Model Predictive Control Using Principal Component Analysis to an Industrial Thickener.

Runda Jia, Fengqi You

IEEE Trans. Control. Syst. Technol., May, 2024

Stable predictive control of continuous stirred-tank reactors using deep learning.

Shulei Zhang, Runda Jia, Yankai Cao, Dakuo He, Feng Yu

Inf. Sci., 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

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

Collaborative Optimization Framework for the Industrial Thickening-Dewatering Process Based on Mixed Integer Linear Programming.

Shulei Zhang, Runda Jia, Hengxin Pan, Dakuo He, Kang Li

IEEE Trans. Instrum. Meas., 2023

2022

A general data-driven nonlinear robust optimization framework based on statistic limit and principal component analysis.

Shulei Zhang, Runda Jia, Dakuo He, Fei Chu, Zhizhong Mao

Comput. Chem. Eng., 2022

2021

A process transfer model-based optimal compensation control strategy for batch process using just-in-time learning and trust region method.

Fei Chu, Xiang Cheng, Chuang Peng, Runda Jia, Tao Chen, Qinglai Wei

J. Frankl. Inst., 2021

2020

Transfer learning for end-product quality prediction of batch processes using domain-adaption joint-Y PLS.

Runda Jia, Shulei Zhang, Fengqi You

Comput. Chem. Eng., 2020

2019

Ensemble regularized local finite impulse response models and soft sensor application in nonlinear dynamic industrial processes.

Xiaolong Chen, Zhizhong Mao, Runda Jia, Shuning Zhang

Appl. Soft Comput., 2019

Gold Recovery Modeling Based on Interval Prediction for a Gold Cyanidation Leaching Plant.

Jun Zhang, Hua Yan, Hong-Xia Yu, Zhong-Da Tian, Runda Jia

IEEE Access, 2019

2017

Rapid Modeling Method for Performance Prediction of Centrifugal Compressor Based on Model Migration and SVM.

Fei Chu, Bangwu Dai, Wei Dai, Runda Jia, Xiaoping Ma, Fuli Wang

IEEE Access, 2017

2012

Real-time product quality control for batch processes based on stacked least-squares support vector regression models.

Shuning Zhang, Fuli Wang, Dakuo He, Runda Jia

Comput. Chem. Eng., 2012