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2020 – today
- 2024
[j35]Mohamed Abubakr Hassan
, Chi-Guhn Lee:
Alleviating confirmation bias in perpetually dynamic environments: Continuous unsupervised domain adaptation-based condition monitoring (CUDACoM). Eng. Appl. Artif. Intell. 137: 109057 (2024)- [j34]Kaiyu Zhang, Jinglong Chen, Chi-Guhn Lee, Shuilong He:
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. 237(Part B): 121506 (2024) - [j33]Mohamed Abubakr Hassan, Ramy Elmallah, Chi-Guhn Lee:
Approximate and Memorize (A&M) : Settling opposing views in replay-based continuous unsupervised domain adaptation. Knowl. Based Syst. 293: 111653 (2024) - [j32]Yifei Ding, Yudong Cao, Minping Jia, Peng Ding, Xiaoli Zhao, Chi-Guhn Lee:
Deep temporal-spectral domain adaptation for bearing fault diagnosis. Knowl. Based Syst. 299: 111999 (2024) - [j31]Augusto José da Silva Rodrigues, Cristiano A. V. Cavalcante, Chi-Guhn Lee:
A general inspection and replacement policy for protection systems subject to shocks with state dependent effect. Reliab. Eng. Syst. Saf. 251: 110397 (2024) - [j30]Yifei Ding, Minping Jia, Yudong Cao, Xiaoan Yan, Xiaoli Zhao, Chi-Guhn Lee:
Unsupervised Fault Detection With Deep One-Class Classification and Manifold Distribution Alignment. IEEE Trans. Ind. Informatics 20(2): 1313-1323 (2024) - [i11]David Molina Concha, Kyeong-Hyeon Park, Hyun-Rok Lee, Taesik Lee, Chi-Guhn Lee:
Algorithmic Contract Design with Reinforcement Learning Agents. CoRR abs/2408.09686 (2024) - [i10]David Molina Concha, Jiping Li, Haoran Yin, Kyeonghyeon Park, Hyun-Rok Lee, Taesik Lee, Dhruv Sirohi, Chi-Guhn Lee:
Bayesian Optimization Framework for Efficient Fleet Design in Autonomous Multi-Robot Exploration. CoRR abs/2408.11751 (2024) - 2023
- [j29]Amir Ahmadi-Javid, Moeinoddin Mansourfar, Chi-Guhn Lee, Li Liu:
Optimal distribution of perishable foods with storage temperature control and quality requirements: An integrated vehicle routing problem. Comput. Ind. Eng. 182: 109215 (2023) - [j28]Xiying Li, Chi-Guhn Lee:
ΔV-learning: An adaptive reinforcement learning algorithm for the optimal stopping problem. Expert Syst. Appl. 231: 120702 (2023) - [j27]Sijie Tian, Yaoyu Zhang, Yuchun Feng, Nour Elsagan, Yoon Ko, Mohammad Hamed Mozaffari, Dexen D. Z. Xi, Chi-Guhn Lee:
Time series classification, augmentation and artificial-intelligence-enabled software for emergency response in freight transportation fires. Expert Syst. Appl. 233: 120914 (2023) - [j26]Majid Arasteh, Somayeh Alizadeh, Chi-Guhn Lee:
Gravity algorithm for the community detection of large-scale network. J. Ambient Intell. Humaniz. Comput. 14(2): 1217-1228 (2023) - [j25]Yifei Ding, Minping Jia, Yudong Cao, Peng Ding, Xiaoli Zhao, Chi-Guhn Lee:
Domain generalization via adversarial out-domain augmentation for remaining useful life prediction of bearings under unseen conditions. Knowl. Based Syst. 261: 110199 (2023) - [j24]Yifei Ding, Minping Jia, Jichao Zhuang, Yudong Cao, Xiaoli Zhao, Chi-Guhn Lee:
Deep imbalanced domain adaptation for transfer learning fault diagnosis of bearings under multiple working conditions. Reliab. Eng. Syst. Saf. 230: 108890 (2023) - [j23]Seyedvahid Najafi, Chi-Guhn Lee:
A deep reinforcement learning approach for repair-based maintenance of multi-unit systems using proportional hazards model. Reliab. Eng. Syst. Saf. 234: 109179 (2023) - [j22]Yang Li, Feiyun Xu, Chi-Guhn Lee:
Self-Supervised Metalearning Generative Adversarial Network for Few-Shot Fault Diagnosis of Hoisting System With Limited Data. IEEE Trans. Ind. Informatics 19(3): 2474-2484 (2023) - [c10]Amine Mohamed Aboussalah, Min-Jae Kwon, Raj G. Patel, Cheng Chi, Chi-Guhn Lee:
Recursive Time Series Data Augmentation. ICLR 2023 - 2022
- [j21]Bin Yang, Yaguo Lei, Songci Xu, Chi-Guhn Lee:
An Optimal Transport-Embedded Similarity Measure for Diagnostic Knowledge Transferability Analytics Across Machines. IEEE Trans. Ind. Electron. 69(7): 7372-7382 (2022) - [j20]Zihan Zhang, Yeonjeong Jeong, Jongseong Jang, Chi-Guhn Lee:
A Pattern-Driven Stochastic Degradation Model for the Prediction of Remaining Useful Life of Rechargeable Batteries. IEEE Trans. Ind. Informatics 18(12): 8586-8594 (2022) - [j19]Peng Ding, Minping Jia, Jichao Zhuang, Yifei Ding, Yudong Cao, Xiaoli Zhao, Chi-Guhn Lee:
Multiobjective Evolution Enhanced Collaborative Health Monitoring and Prognostics: A Case Study of Bearing Life Test With Three-Axis Acceleration Signals. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - [c9]Hyun-Rok Lee, Ram Ananth Sreenivasan, Yeonjeong Jeong, Jongseong Jang, Dongsub Shim, Chi-Guhn Lee:
Multi-policy Grounding and Ensemble Policy Learning for Transfer Learning with Dynamics Mismatch. IJCAI 2022: 3171-3177 - [c8]Kuilin Chen, Chi-Guhn Lee:
Meta-free few-shot learning via representation learning with weight averaging. IJCNN 2022: 1-8 - [i9]Kuilin Chen, Chi-Guhn Lee:
Meta-free representation learning for few-shot learning via stochastic weight averaging. CoRR abs/2204.12466 (2022) - [i8]Amine Mohamed Aboussalah, Min-Jae Kwon, Raj G. Patel, Cheng Chi, Chi-Guhn Lee:
Don't overfit the history - Recursive time series data augmentation. CoRR abs/2207.02891 (2022) - [i7]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, Samuel Mugel, Roman Orus:
Quantum-Inspired Tensor Neural Networks for Partial Differential Equations. CoRR abs/2208.02235 (2022) - [i6]Kuilin Chen, Chi-Guhn Lee:
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps. CoRR abs/2210.03595 (2022) - 2021
- [j18]Seyedvahid Najafi, Rui Zheng, Chi-Guhn Lee:
An optimal opportunistic maintenance policy for a two-unit series system with general repair using proportional hazards models. Reliab. Eng. Syst. Saf. 215: 107830 (2021) - [j17]Gaoyang Li, Li Yang, Chi-Guhn Lee, Xiaohua Wang, Mingzhe Rong:
A Bayesian Deep Learning RUL Framework Integrating Epistemic and Aleatoric Uncertainties. IEEE Trans. Ind. Electron. 68(9): 8829-8841 (2021) - [c7]Kuilin Chen, Chi-Guhn Lee:
Incremental few-shot learning via vector quantization in deep embedded space. ICLR 2021 - [c6]Mike Gimelfarb, Scott Sanner, Chi-Guhn Lee:
Bayesian Experience Reuse for Learning from Multiple Demonstrators. IJCAI 2021: 2425-2431 - [c5]Babatunde H. Giwa, Chi-Guhn Lee:
A Marginal Log-Likelihood Approach for the Estimation of Discount Factors of Multiple Experts in Inverse Reinforcement Learning. IROS 2021: 7786-7791 - [c4]Michael Gimelfarb, André Barreto, Scott Sanner, Chi-Guhn Lee:
Risk-Aware Transfer in Reinforcement Learning using Successor Features. NeurIPS 2021: 17298-17310 - [c3]Michael Gimelfarb, Scott Sanner, Chi-Guhn Lee:
Contextual policy transfer in reinforcement learning domains via deep mixtures-of-experts. UAI 2021: 1787-1797 - [i5]Kuilin Chen, Chi-Guhn Lee:
Attentive Gaussian processes for probabilistic time-series generation. CoRR abs/2102.05208 (2021) - [i4]Michael Gimelfarb, André Barreto, Scott Sanner, Chi-Guhn Lee:
Risk-Aware Transfer in Reinforcement Learning using Successor Features. CoRR abs/2105.14127 (2021) - 2020
- [j16]Amine Mohamed Aboussalah, Chi-Guhn Lee:
Continuous control with Stacked Deep Dynamic Recurrent Reinforcement Learning for portfolio optimization. Expert Syst. Appl. 140 (2020) - [i3]Michael Gimelfarb, Scott Sanner, Chi-Guhn Lee:
Contextual Policy Reuse using Deep Mixture Models. CoRR abs/2003.00203 (2020) - [i2]Michael Gimelfarb, Scott Sanner, Chi-Guhn Lee:
Bayesian Experience Reuse for Learning from Multiple Demonstrators. CoRR abs/2006.05725 (2020) - [i1]Michael Gimelfarb, Scott Sanner, Chi-Guhn Lee:
ε-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning. CoRR abs/2007.00869 (2020)
2010 – 2019
- 2019
- [j15]Li Yang, Zhi-Sheng Ye, Chi-Guhn Lee, Su-Fen Yang, Rui Peng:
A two-phase preventive maintenance policy considering imperfect repair and postponed replacement. Eur. J. Oper. Res. 274(3): 966-977 (2019) - [c2]Michael Gimelfarb, Scott Sanner, Chi-Guhn Lee:
Epsilon-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning. UAI 2019: 476-485 - 2018
- [c1]Michael Gimelfarb, Scott Sanner, Chi-Guhn Lee:
Reinforcement Learning with Multiple Experts: A Bayesian Model Combination Approach. NeurIPS 2018: 9549-9559 - 2016
- [j14]Minho Lee, Roy H. Kwon, Chi-Guhn Lee:
Bounds for portfolio weights in decentralized asset allocation. INFOR Inf. Syst. Oper. Res. 54(4): 344-354 (2016) - 2015
- [j13]Hosang Jung, Chi-Guhn Lee, Chelsea C. White III:
Socially responsible service operations management: an overview. Ann. Oper. Res. 230(1): 1-16 (2015) - [j12]Jue Wang, Chi-Guhn Lee:
Multistate Bayesian Control Chart Over a Finite Horizon. Oper. Res. 63(4): 949-964 (2015) - 2013
- [j11]Lin Wang, Qing-Liang Fu, Chi-Guhn Lee, Yurong Zeng:
Model and algorithm of fuzzy joint replenishment problem under credibility measure on fuzzy goal. Knowl. Based Syst. 39: 57-66 (2013) - [j10]Oleksandr Shlakhter, Chi-Guhn Lee:
Accelerated modified policy iteration algorithms for Markov decision processes. Math. Methods Oper. Res. 78(1): 61-76 (2013) - 2011
- [j9]M. I. M. Wahab, Chi-Guhn Lee:
Pricing swing options with regime switching. Ann. Oper. Res. 185(1): 139-160 (2011) - [j8]Michael Jong Kim, Rui Jiang, Viliam Makis, Chi-Guhn Lee:
Optimal Bayesian fault prediction scheme for a partially observable system subject to random failure. Eur. J. Oper. Res. 214(2): 331-339 (2011) - 2010
- [j7]Desheng Dash Wu, Chi-Guhn Lee:
Stochastic DEA with ordinal data applied to a multi-attribute pricing problem. Eur. J. Oper. Res. 207(3): 1679-1688 (2010) - [j6]Oleksandr Shlakhter, Chi-Guhn Lee, Dmitry Khmelev, Nasser Jaber:
Acceleration Operators in the Value Iteration Algorithms for Markov Decision Processes. Oper. Res. 58(1): 193-202 (2010) - [j5]M. Mahdi Tajbakhsh, Chi-Guhn Lee, Saeed Zolfaghari:
On the supplier diversification under binomial yield. Oper. Res. Lett. 38(6): 505-509 (2010)
2000 – 2009
- 2009
- [j4]E. K. Doyle, Chi-Guhn Lee, D. I. Cho:
Justification for the next generation of maintenance modelling techniques. J. Oper. Res. Soc. 60(4): 461-470 (2009) - 2008
- [j3]M. I. M. Wahab, Desheng Dash Wu, Chi-Guhn Lee:
A generic approach to measuring the machine flexibility of manufacturing systems. Eur. J. Oper. Res. 186(1): 137-149 (2008) - 2007
- [j2]Jun Liu, Chi-Guhn Lee:
Evaluation of inventory policies with unidirectional substitutions. Eur. J. Oper. Res. 182(1): 145-163 (2007) - [j1]Iman Hajizadeh, Chi-Guhn Lee:
Alternative configurations for cutting machines in a tube cutting mill. Eur. J. Oper. Res. 183(3): 1385-1396 (2007)
Coauthor Index
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last updated on 2024-10-07 21:22 CEST by the dblp team
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