Alternative configurations for cutting machines in a tube cutting mill. - Iman Hajizadeh; Chi-Guhn Lee (Eur. J. Oper. Res., 2007)

Evaluation of inventory policies with unidirectional substitutions. - Jun Liu 007; Chi-Guhn Lee (Eur. J. Oper. Res., 2007)

A generic approach to measuring the machine flexibility of manufacturing systems. - M. I. M. Wahab; Desheng Dash Wu; Chi-Guhn Lee (Eur. J. Oper. Res., 2008)

Justification for the next generation of maintenance modelling techniques. - E. K. Doyle; Chi-Guhn Lee; D. I. Cho (J. Oper. Res. Soc., 2009)

Stochastic DEA with ordinal data applied to a multi-attribute pricing problem. - Desheng Dash Wu; Chi-Guhn Lee (Eur. J. Oper. Res., 2010)

Acceleration Operators in the Value Iteration Algorithms for Markov Decision Processes. - Oleksandr Shlakhter; Chi-Guhn Lee; Dmitry Khmelev; Nasser Jaber (Oper. Res., 2010)

On the supplier diversification under binomial yield. - M. Mahdi Tajbakhsh; Chi-Guhn Lee; Saeed Zolfaghari (Oper. Res. Lett., 2010)

Pricing swing options with regime switching. - M. I. M. Wahab; Chi-Guhn Lee (Ann. Oper. Res., 2011)

Optimal Bayesian fault prediction scheme for a partially observable system subject to random failure. - Michael Jong Kim; Rui Jiang; Viliam Makis; Chi-Guhn Lee (Eur. J. Oper. Res., 2011)

Model and algorithm of fuzzy joint replenishment problem under credibility measure on fuzzy goal. - Lin Wang 001; Qing-Liang Fu; Chi-Guhn Lee; Yurong Zeng (Knowl. Based Syst., 2013)

Accelerated modified policy iteration algorithms for Markov decision processes. - Oleksandr Shlakhter; Chi-Guhn Lee (Math. Methods Oper. Res., 2013)

Socially responsible service operations management: an overview. - Hosang Jung; Chi-Guhn Lee; Chelsea C. White III (Ann. Oper. Res., 2015)

Multistate Bayesian Control Chart Over a Finite Horizon. - Jue Wang 014; Chi-Guhn Lee (Oper. Res., 2015)

Bounds for portfolio weights in decentralized asset allocation. - Minho Lee; Roy H. Kwon; Chi-Guhn Lee (INFOR Inf. Syst. Oper. Res., 2016)

Reinforcement Learning with Multiple Experts: A Bayesian Model Combination Approach. - Michael Gimelfarb; Scott Sanner; Chi-Guhn Lee (NeurIPS, 2018)

Epsilon-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning. - Michael Gimelfarb; Scott Sanner; Chi-Guhn Lee (UAI, 2019)

A two-phase preventive maintenance policy considering imperfect repair and postponed replacement. - Li Yang 004; Zhi-Sheng Ye 001; Chi-Guhn Lee; Su-Fen Yang; Rui Peng 001 (Eur. J. Oper. Res., 2019)

Contextual Policy Reuse using Deep Mixture Models. - Michael Gimelfarb; Scott Sanner; Chi-Guhn Lee (CoRR, 2020)

ε-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning. - Michael Gimelfarb; Scott Sanner; Chi-Guhn Lee (CoRR, 2020)

Continuous control with Stacked Deep Dynamic Recurrent Reinforcement Learning for portfolio optimization. - Amine Mohamed Aboussalah; Chi-Guhn Lee (Expert Syst. Appl., 2020)

Incremental few-shot learning via vector quantization in deep embedded space. - Kuilin Chen; Chi-Guhn Lee (ICLR, 2021)

Bayesian Experience Reuse for Learning from Multiple Demonstrators. - Mike Gimelfarb; Scott Sanner; Chi-Guhn Lee (IJCAI, 2021)

A Marginal Log-Likelihood Approach for the Estimation of Discount Factors of Multiple Experts in Inverse Reinforcement Learning. - Babatunde H. Giwa; Chi-Guhn Lee (IROS, 2021)

Risk-Aware Transfer in Reinforcement Learning using Successor Features. - Michael Gimelfarb; André Barreto 001; Scott Sanner; Chi-Guhn Lee (NeurIPS, 2021)

Contextual policy transfer in reinforcement learning domains via deep mixtures-of-experts. - Michael Gimelfarb; Scott Sanner; Chi-Guhn Lee (UAI, 2021)

Attentive Gaussian processes for probabilistic time-series generation. - Kuilin Chen; Chi-Guhn Lee (CoRR, 2021)

An optimal opportunistic maintenance policy for a two-unit series system with general repair using proportional hazards models. - Seyedvahid Najafi; Rui Zheng; Chi-Guhn Lee (Reliab. Eng. Syst. Saf., 2021)

A Bayesian Deep Learning RUL Framework Integrating Epistemic and Aleatoric Uncertainties. - Gaoyang Li; Li Yang 004; Chi-Guhn Lee; Xiaohua Wang 001; Mingzhe Rong (IEEE Trans. Ind. Electron., 2021)

Multi-policy Grounding and Ensemble Policy Learning for Transfer Learning with Dynamics Mismatch. - Hyun-Rok Lee; Ram Ananth Sreenivasan; Yeonjeong Jeong; Jongseong Jang; Dongsub Shim; Chi-Guhn Lee (IJCAI, 2022)

Meta-free few-shot learning via representation learning with weight averaging. - Kuilin Chen; Chi-Guhn Lee (IJCNN, 2022)

Meta-free representation learning for few-shot learning via stochastic weight averaging. - Kuilin Chen; Chi-Guhn Lee (CoRR, 2022)

Don't overfit the history - Recursive time series data augmentation. - Amine Mohamed Aboussalah; Min-Jae Kwon; Raj G. Patel; Cheng Chi; Chi-Guhn Lee (CoRR, 2022)

Quantum-Inspired Tensor Neural Networks for Partial Differential Equations. - Raj G. Patel; Chia-Wei Hsing; Serkan Sahin; Saeed S. Jahromi; Samuel Palmer; Shivam Sharma; Christophe Michel; Vincent Porte; Mustafa Abid; Stephane Aubert; Pierre Castellani; Chi-Guhn Lee; et al. (CoRR, 2022)

Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps. - Kuilin Chen; Chi-Guhn Lee (CoRR, 2022)

An Optimal Transport-Embedded Similarity Measure for Diagnostic Knowledge Transferability Analytics Across Machines. - Bin Yang 014; Yaguo Lei; Songci Xu; Chi-Guhn Lee (IEEE Trans. Ind. Electron., 2022)

A Pattern-Driven Stochastic Degradation Model for the Prediction of Remaining Useful Life of Rechargeable Batteries. - Zihan Zhang; Yeonjeong Jeong; Jongseong Jang; Chi-Guhn Lee (IEEE Trans. Ind. Informatics, 2022)

Multiobjective Evolution Enhanced Collaborative Health Monitoring and Prognostics: A Case Study of Bearing Life Test With Three-Axis Acceleration Signals. - Peng Ding 002; Minping Jia; Jichao Zhuang; Yifei Ding; Yudong Cao; Xiaoli Zhao; Chi-Guhn Lee (IEEE Trans. Instrum. Meas., 2022)

Recursive Time Series Data Augmentation. - Amine Mohamed Aboussalah; Min-Jae Kwon; Raj G. Patel; Cheng Chi; Chi-Guhn Lee (ICLR, 2023)

Domain generalization via adversarial out-domain augmentation for remaining useful life prediction of bearings under unseen conditions. - Yifei Ding; Minping Jia; Yudong Cao; Peng Ding 002; Xiaoli Zhao; Chi-Guhn Lee (Knowl. Based Syst., 2023)

Deep imbalanced domain adaptation for transfer learning fault diagnosis of bearings under multiple working conditions. - Yifei Ding; Minping Jia; Jichao Zhuang; Yudong Cao; Xiaoli Zhao; Chi-Guhn Lee (Reliab. Eng. Syst. Saf., 2023)

Gravity algorithm for the community detection of large-scale network. - Majid Arasteh; Somayeh Alizadeh; Chi-Guhn Lee (J. Ambient Intell. Humaniz. Comput., 2023)

Self-Supervised Metalearning Generative Adversarial Network for Few-Shot Fault Diagnosis of Hoisting System With Limited Data. - Yang Li 109; Feiyun Xu; Chi-Guhn Lee (IEEE Trans. Ind. Informatics, 2023)

A deep reinforcement learning approach for repair-based maintenance of multi-unit systems using proportional hazards model. - Seyedvahid Najafi; Chi-Guhn Lee (Reliab. Eng. Syst. Saf., 2023)

Optimal distribution of perishable foods with storage temperature control and quality requirements: An integrated vehicle routing problem. - Amir Ahmadi-Javid; Moeinoddin Mansourfar; Chi-Guhn Lee; Li Liu (Comput. Ind. Eng., 2023)

ΔV-learning: An adaptive reinforcement learning algorithm for the optimal stopping problem. - Xiying Li; Chi-Guhn Lee (Expert Syst. Appl., 2023)

Time series classification, augmentation and artificial-intelligence-enabled software for emergency response in freight transportation fires. - Sijie Tian; Yaoyu Zhang; Yuchun Feng; Nour Elsagan; Yoon Ko; Mohammad Hamed Mozaffari; Dexen D. Z. Xi; Chi-Guhn Lee (Expert Syst. Appl., 2023)

Algorithmic Contract Design with Reinforcement Learning Agents. - David Molina Concha; Kyeong-Hyeon Park; Hyun-Rok Lee; Taesik Lee; Chi-Guhn Lee (CoRR, 2024)

Bayesian Optimization Framework for Efficient Fleet Design in Autonomous Multi-Robot Exploration. - David Molina Concha; Jiping Li; Haoran Yin; Kyeonghyeon Park; Hyun-Rok Lee; Taesik Lee; Dhruv Sirohi; Chi-Guhn Lee (CoRR, 2024)

Burning RED: Unlocking Subtask-Driven Reinforcement Learning and Risk-Awareness in Average-Reward Markov Decision Processes. - Juan Sebastian Rojas; Chi-Guhn Lee (CoRR, 2024)

Alleviating confirmation bias in perpetually dynamic environments: Continuous unsupervised domain adaptation-based condition monitoring (CUDACoM). - Mohamed Abubakr Hassan; Chi-Guhn Lee (Eng. Appl. Artif. Intell., 2024)

Deep temporal-spectral domain adaptation for bearing fault diagnosis. - Yifei Ding; Yudong Cao; Minping Jia; Peng Ding 002; Xiaoli Zhao; Chi-Guhn Lee (Knowl. Based Syst., 2024)

Approximate and Memorize (A&M) : Settling opposing views in replay-based continuous unsupervised domain adaptation. - Mohamed Abubakr Hassan; Ramy Elmallah; Chi-Guhn Lee (Knowl. Based Syst., 2024)

A general inspection and replacement policy for protection systems subject to shocks with state dependent effect. - Augusto José da Silva Rodrigues; Cristiano A. V. Cavalcante; Chi-Guhn Lee (Reliab. Eng. Syst. Saf., 2024)

Unsupervised Fault Detection With Deep One-Class Classification and Manifold Distribution Alignment. - Yifei Ding; Minping Jia; Yudong Cao; Xiaoan Yan; Xiaoli Zhao; Chi-Guhn Lee (IEEE Trans. Ind. Informatics, 2024)

An unsupervised spatiotemporal fusion network augmented with random mask and time-relative information modulation for anomaly detection of machines with multiple measuring points. - Kaiyu Zhang; Jinglong Chen; Chi-Guhn Lee; Shuilong He (Expert Syst. Appl., 2024)

A distributed training method with intergenerational accumulation and cross-node random drop for mechanical fault diagnosis. - Zongliang Xie; Kaiyu Zhang; Jinglong Chen; Chi-Guhn Lee; Shuilong He (Appl. Soft Comput., 2025)

Improved dynamic time warping for fire safety emergency response: A robust and interpretable extension. - Yaoyu Zhang; Huilei Wang; Fuyu Wang; Mohammad Hamed Mozaffari; Yoon Ko; Nour Elsagan; Chi-Guhn Lee (Knowl. Based Syst., 2025)

Forget to Learn (F2L): Circumventing plasticity-stability trade-off in continuous unsupervised domain adaptation. - Mohamed Abubakr Hassan; Chi-Guhn Lee (Pattern Recognit., 2025)

Hypernetwork-based approach for optimal composition design in partially controlled multi-agent systems. - Kyeonghyeon Park; David Molina Concha; Hyun-Rok Lee; Chi-Guhn Lee; Taesik Lee (CoRR, 2025)

A Differential Perspective on Distributional Reinforcement Learning. - Juan Sebastian Rojas; Chi-Guhn Lee (CoRR, 2025)

Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning. - Koorosh Moslemi; Chi-Guhn Lee (CoRR, 2025)

A Contrastive Diffusion-based Network (CDNet) for Time Series Classification. - Yaoyu Zhang; Chi-Guhn Lee (CoRR, 2025)