| 2025 | Reinforcement Learning for Process Control: Review and Benchmark Problems 화학공정 › 공정시스템기술 International Journal of Control Automation and Systems | 이종민 | 22 |
| 2023 | Classification of battery slurry by flow signal processing via echo state network model 화학공정 › 기초유기소재 공정기술 Rheologica Acta | 남재욱, 안경현 | 15 |
| 2022 | Compact neural network modeling of nonlinear dynamical systems via the standard nonlinear operator form 화학공정 › 분리/정제기술 Computers & Chemical Engineering | 홍무선 | 14 |
| 2025 | Real-world implementation of offline reinforcement learning for process control in industrial dividing wall column 화학공정 › 공정시스템기술 Computers & Chemical Engineering | 이종민 | 6 |
| 2022 | Sparse Bayesian long short-term memory networks for computationally efficient stochastic modeling of plasma etch processes Computers & Chemical Engineering | 이종민 | 4 |
| 2018 | Reinforced Genetic Algorithm using Clustering based on Statistical Estimation IFAC-PapersOnLine | 이종민 | 3 |
| 2024 | Variational quantum eigensolver for closed-shell molecules with non-bosonic corrections 물리화학 › 양자화학/전산화학 Physical Chemistry Chemical Physics | 정유성 | 3 |
| 2026 | TalkToAgent: A multi-agent LLM Framework for natural language explanation of reinforcement learning policies 화학공정 › 공정시스템기술 Computers & Chemical Engineering | 이종민 | 2 |
| 2025 | ChemDT: A stochastic decision transformer for chemical process control 화학공정 › 공정시스템기술 Computers & Chemical Engineering | 이종민 | 1 |
| 2025 | Decoding industrial-scale battery manufacturing process through integration of causal graphs into explainable artificial intelligence Engineering Applications of Artificial Intelligence | 이종민 | 1 |
| 2026 | An analysis of the impact of dataset distribution on offline reinforcement learning in process control 화학공정 › 공정시스템기술 Computers & Chemical Engineering | 이종민 | 1 |