Chi-Guhn Lee
Orcid: 0000-0002-0916-0241
According to our database1,
Chi-Guhn Lee
authored at least 48 papers
between 2007 and 2024.
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Bibliography
2024
An unsupervised spatiotemporal fusion network augmented with random mask and time-relative information modulation for anomaly detection of machines with multiple measuring points.
Expert Syst. Appl., March, 2024
Unsupervised Fault Detection With Deep One-Class Classification and Manifold Distribution Alignment.
IEEE Trans. Ind. Informatics, February, 2024
2023
Time series classification, augmentation and artificial-intelligence-enabled software for emergency response in freight transportation fires.
Expert Syst. Appl., December, 2023
ΔV-learning: An adaptive reinforcement learning algorithm for the optimal stopping problem.
Expert Syst. Appl., November, 2023
Optimal distribution of perishable foods with storage temperature control and quality requirements: An integrated vehicle routing problem.
Comput. Ind. Eng., August, 2023
A deep reinforcement learning approach for repair-based maintenance of multi-unit systems using proportional hazards model.
Reliab. Eng. Syst. Saf., June, 2023
Self-Supervised Metalearning Generative Adversarial Network for Few-Shot Fault Diagnosis of Hoisting System With Limited Data.
IEEE Trans. Ind. Informatics, March, 2023
J. Ambient Intell. Humaniz. Comput., February, 2023
Deep imbalanced domain adaptation for transfer learning fault diagnosis of bearings under multiple working conditions.
Reliab. Eng. Syst. Saf., 2023
Domain generalization via adversarial out-domain augmentation for remaining useful life prediction of bearings under unseen conditions.
Knowl. Based Syst., 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Multiobjective Evolution Enhanced Collaborative Health Monitoring and Prognostics: A Case Study of Bearing Life Test With Three-Axis Acceleration Signals.
IEEE Trans. Instrum. Meas., 2022
A Pattern-Driven Stochastic Degradation Model for the Prediction of Remaining Useful Life of Rechargeable Batteries.
IEEE Trans. Ind. Informatics, 2022
An Optimal Transport-Embedded Similarity Measure for Diagnostic Knowledge Transferability Analytics Across Machines.
IEEE Trans. Ind. Electron., 2022
CoRR, 2022
Meta-free representation learning for few-shot learning via stochastic weight averaging.
CoRR, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Multi-policy Grounding and Ensemble Policy Learning for Transfer Learning with Dynamics Mismatch.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
2021
A Bayesian Deep Learning RUL Framework Integrating Epistemic and Aleatoric Uncertainties.
IEEE Trans. Ind. Electron., 2021
An optimal opportunistic maintenance policy for a two-unit series system with general repair using proportional hazards models.
Reliab. Eng. Syst. Saf., 2021
Contextual policy transfer in reinforcement learning domains via deep mixtures-of-experts.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
A Marginal Log-Likelihood Approach for the Estimation of Discount Factors of Multiple Experts in Inverse Reinforcement Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
2020
Continuous control with Stacked Deep Dynamic Recurrent Reinforcement Learning for portfolio optimization.
Expert Syst. Appl., 2020
ε-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning.
CoRR, 2020
2019
A two-phase preventive maintenance policy considering imperfect repair and postponed replacement.
Eur. J. Oper. Res., 2019
Epsilon-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019
2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
2016
INFOR Inf. Syst. Oper. Res., 2016
2015
Ann. Oper. Res., 2015
2013
Math. Methods Oper. Res., 2013
Model and algorithm of fuzzy joint replenishment problem under credibility measure on fuzzy goal.
Knowl. Based Syst., 2013
2011
Optimal Bayesian fault prediction scheme for a partially observable system subject to random failure.
Eur. J. Oper. Res., 2011
2010
Acceleration Operators in the Value Iteration Algorithms for Markov Decision Processes.
Oper. Res., 2010
Eur. J. Oper. Res., 2010
2009
J. Oper. Res. Soc., 2009
2008
Eur. J. Oper. Res., 2008
2007
Eur. J. Oper. Res., 2007
Eur. J. Oper. Res., 2007