Jong Min Lee - RankMe

41 papers Journal 40

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Generative transformer-based deep hierarchical VAE model for the automated generation of chemical process topologies. Comput. Chem. Eng. Yeong Woo Son, Ji Hun Pak, Chan Kim, Jong Min Lee
2026	J	`jnl`	Real-world implementation of offline reinforcement learning for process control in industrial dividing wall column. Comput. Chem. Eng. Joonsoo Park, Wonhyeok Choi, Dong Il Kim, Ha El Park, Jong Min Lee
2025	J	`jnl`	A diffusion-attention-based algorithm for optimal spatio-temporal sensor placement in distributed parameter systems. Comput. Chem. Eng. Yeong Woo Son, Jong Min Lee
2025	J	`jnl`	ChemDT: A stochastic decision transformer for chemical process control. Comput. Chem. Eng. Junseop Shin, Joonsoo Park, Jaehyun Shim, Jong Min Lee
2025	J	`jnl`	Decoding industrial-scale battery manufacturing process through integration of causal graphs into explainable artificial intelligence. Eng. Appl. Artif. Intell. Haechang Kim, Ji Young Yun, Eunjoo Jung, Bora Lee, Hyeongseok Kim, Jong Min Lee
2025	J	`jnl`	Multimodal learning with missing modality for chemical process system. Comput. Chem. Eng. Suk Hoon Choi, Jong Min Lee
2025	J	`jnl`	Self-Explanatory Fault Diagnosis Framework for Industrial Processes Using Graph Attention. IEEE Trans. Ind. Informatics Chae Sun Kim, Han Bit Kim, Jong Min Lee
2025	J	`jnl`	Two-stage dynamic real-time optimization framework using parameter-dependent differential dynamic programming. Comput. Chem. Eng. Hyein Jung, Jong Woo Kim, Jong Min Lee
2024	J	`jnl`	Machine learning for industrial sensing and control: A survey and practical perspective. CoRR Nathan P. Lawrence, Seshu Kumar Damarla, Jong Woo Kim, Aditya Tulsyan, Faraz Amjad, Kai Wang, Benoît Chachuat, Jong Min Lee, Biao Huang, R. Bhushan Gopaluni
2024	J	`jnl`	Optimization of Fischer-Tropsch microchannel reactor using computational fluid dynamics and enveloped Bayesian optimization. Comput. Chem. Eng. Kyoungmin Lee, Jong Min Lee
2023	J	`jnl`	Techno-economic analysis and process optimization of a PET chemical recycling process based on Bayesian optimization. Comput. Chem. Eng. Jae Jung Urm, Jae Hwan Choi, Chan Kim, Jong Min Lee
2022	J	`jnl`	Modern Machine Learning Tools for Monitoring and Control of Industrial Processes: A Survey. CoRR R. Bhushan Gopaluni, Aditya Tulsyan, Benoît Chachuat, Biao Huang, Jong Min Lee, Faraz Amjad, Seshu Kumar Damarla, Jong Woo Kim, Nathan P. Lawrence
2022	J	`jnl`	Primal-dual differential dynamic programming: A model-based reinforcement learning for constrained dynamic optimization. Comput. Chem. Eng. Jong Woo Kim, Tae Hoon Oh, Sang Hwan Son, Jong Min Lee
2022	J	`jnl`	Sparse Bayesian long short-term memory networks for computationally efficient stochastic modeling of plasma etch processes. Comput. Chem. Eng. Damdae Park, Sangwon Ryu, Gon-Ho Kim, Jong Min Lee
2021	J	`jnl`	Design of switching multilinear model predictive control using gap metric. Comput. Chem. Eng. Byung Jun Park, Yeonsoo Kim, Jong Min Lee
2021	J	`jnl`	Model-based reinforcement learning and predictive control for two-stage optimal control of fed-batch bioreactor. Comput. Chem. Eng. Jong Woo Kim, Byung Jun Park, Tae Hoon Oh, Jong Min Lee
2021	J	`jnl`	Move blocked model predictive control with guaranteed stability and improved optimality using linear interpolation of base sequences. Int. J. Control Sang Hwan Son, Byung Jun Park, Tae Hoon Oh, Jong Woo Kim, Jong Min Lee
2021	J	`jnl`	Multirate moving horizon estimation combined with parameter subset selection. Comput. Chem. Eng. Jaehan Bae, Yeonsoo Kim, Jong Min Lee
2021	J	`jnl`	Real-time synchronization with expected distribution of synchronized index for on-line monitoring of uneven multiphase batch process. Comput. Chem. Eng. Hye Ji Lee, Jaehan Bae, Dong Hwi Jeong, Jong Min Lee
2020	J	`jnl`	Convergence analysis of the deep neural networks based globalized dual heuristic programming. Autom. Jong Woo Kim, Tae Hoon Oh, Sang Hwan Son, Dong Hwi Jeong, Jong Min Lee
2020	J	`jnl`	Data-driven fault diagnosis for chemical processes using transfer entropy and graphical lasso. Comput. Chem. Eng. Hodong Lee, Changsoo Kim, Sanha Lim, Jong Min Lee
2020	J	`jnl`	Ensemble learning based latent variable model predictive control for batch trajectory tracking under concept drift. Comput. Chem. Eng. Dong Hwi Jeong, Jong Min Lee
2020	J	`jnl`	Idle speed control with low-complexity offset-free explicit model predictive control in presence of system delay. CoRR Sang Hwan Son, Se-Kyu Oh, Byung Jun Park, Min Jun Song, Jong Min Lee
2020	J	`jnl`	Model-plant mismatch learning offset-free model predictive control. CoRR Sang Hwan Son, Jong Woo Kim, Tae Hoon Oh, Jong Min Lee
2019	J	`jnl`	Efficient online model-based design of experiments via parameter subset selection for batch dynamical systems. Comput. Chem. Eng. Jung Hun Kim, Jong Min Lee
2019	J	`jnl`	Hybrid Nonlinear Model Predictive Control of LNT and Urealess SCR Aftertreatment System. IEEE Trans. Control. Syst. Technol. Yeonsoo Kim, Taekyoon Park, Changho Jung, ChangHwan Kim, Yong Wha Kim, Jong Min Lee
2018	J	`jnl`	A POMDP framework for integrated scheduling of infrastructure maintenance and inspection. Comput. Chem. Eng. Jong Woo Kim, Go Bong Choi, Jong Min Lee
2018	J	`jnl`	Enhancement of modifier adaptation scheme via feedforward decision maker using historical disturbance data and deep machine learning. Comput. Chem. Eng. Dong Hwi Jeong, Jong Min Lee
2018	J	`jnl`	Multi-objective Bayesian optimization of chemical reactor design using computational fluid dynamics. Comput. Chem. Eng. Seongeon Park, Jonggeol Na, Minjun Kim, Jong Min Lee
2018	J	`jnl`	NARX modeling for real-time optimization of air and gas compression systems in chemical processes. Comput. Chem. Eng. Won Je Lee, Jonggeol Na, Kyeongsu Kim, Chul-Jin Lee, Young-Geun Lee, Jong Min Lee
2018	J	`jnl`	Point-to-point iterative learning model predictive control. Autom. Se-Kyu Oh, Byung Jun Park, Jong Min Lee
2016	J	`jnl`	Iterative learning model predictive control for constrained multivariable control of batch processes. Comput. Chem. Eng. Se-Kyu Oh, Jong Min Lee
2016	J	`jnl`	Robust leak detection and its localization using interval estimation for water distribution network. Comput. Chem. Eng. Yeonsoo Kim, Shin Je Lee, Taekyoon Park, Gibaek Lee, Jung Chul Suh, Jong Min Lee
2012	J	`jnl`	A tighter cut generation strategy for acceleration of Benders decomposition. Comput. Chem. Eng. Yu Yang, Jong Min Lee
2010	J	`jnl`	Probabilistic modeling and dynamic optimization for performance improvement and risk management of plant-wide operation. Comput. Chem. Eng. Yu Yang, Jong Min Lee
2008	J	`jnl`	Dynamic Analysis of Integrated Signaling, Metabolic, and Regulatory Networks. PLoS Comput. Biol. Jong Min Lee, Erwin P. Gianchandani, James A. Eddy, Jason A. Papin
2006	J	`jnl`	Approximate dynamic programming based approach to process control and scheduling. Comput. Chem. Eng. Jay H. Lee, Jong Min Lee
2006	J	`jnl`	Flux balance analysis in the era of metabolomics. Briefings Bioinform. Jong Min Lee, Erwin P. Gianchandani, Jason A. Papin
2005	J	`jnl`	Approximate dynamic programming-based approaches for input-output data-driven control of nonlinear processes. Autom. Jong Min Lee, Jay H. Lee
2004	—	`—`	A Study on Architecture, Algorithms, and Applications of Approximate Dynamic Programming Based Approach to Optimal Control. Jong Min Lee
2004	J	`jnl`	An introduction to a dynamic plant-wide optimization strategy for an integrated plant. Comput. Chem. Eng. Thidarat Tosukhowong, Jong Min Lee, Jay H. Lee, Joseph Lu