| EEDTO: An energy-efficient dynamic task offloading algorithm for blockchain-enabled IoT-edge-cloud orchestrated computing H Wu, K Wolter, P Jiao, Y Deng, Y Zhao, M Xu IEEE Internet of Things Journal 8 (4), 2163-2176, 2020 | 206 | 2020 |
| Degradation Modeling Based on a Time-Dependent Ornstein-Uhlenbeck Process and Residual Useful Lifetime Estimation Y Deng, A Barros, A Grall IEEE Transactions on Reliability 65 (1), 126--140, 2016 | 50 | 2016 |
| Deep learning-driven wireless communication for edge-cloud computing: opportunities and challenges H Wu, X Li, Y Deng Journal of Cloud Computing 9 (1), 21, 2020 | 49 | 2020 |
| Controlling the accuracy and uncertainty trade-off in RUL prediction with a surrogate Wiener propagation model Y Deng, A Di Bucchianico, M Pechenizkiy Reliability Engineering & System Safety 196, 106727, 2020 | 45 | 2020 |
| Condition-based maintenance for a multi-component system in a dynamic operating environment N Zhang, Y Deng, B Liu, J Zhang Reliability Engineering & System Safety 231, 108988, 2023 | 23 | 2023 |
| Residual useful life estimation based on a time-dependent Ornstein-Uhlenbeck process Y Deng, A Barros, A Grall Chemical engineering transactions 33, 325-330, 2013 | 14 | 2013 |
| Calculation of failure level based on inverse first passage problem Y Deng, A Barros, A Grall 2014 Reliability and Maintainability Symposium, 1-6, 2014 | 10 | 2014 |
| Optimal production lot-sizing and condition-based maintenance policy considering imperfect manufacturing process and inspection errors N Zhang, S Tian, J Xu, Y Deng, K Cai Computers & Industrial Engineering 177, 108929, 2023 | 9 | 2023 |
| Uncertainty-controlled remaining useful life prediction of bearings with a new data-augmentation strategy R Wang, F Yan, R Shi, L Yu, Y Deng Applied Sciences 12 (21), 11086, 2022 | 6 | 2022 |
| Degradation modeling based on a time-dependent Ornstein-Uhlenbeck process and prognosis of system failures Y Deng Université de Technologie de Troyes, 2015 | 5 | 2015 |
| Joint optimization of condition-based maintenance and condition-based production of a single equipment considering random yield and maintenance delay N Zhang, K Cai, Y Deng, J Zhang Reliability Engineering & System Safety 241, 109694, 2024 | 4 | 2024 |
| Determining the optimal production–maintenance policy of a parallel production system with stochastically interacted yield and deterioration N Zhang, K Cai, Y Deng, J Zhang Reliability Engineering & System Safety 237, 109342, 2023 | 4 | 2023 |
| The influence of initial uncertainties in stochastic degradation modeling Y Deng, A Barros, A Grall Proc. e Eur. Safety and Reliability Conf., ESREL 2013, 2013 | 3 | 2013 |
| Exploring the learning difficulty of data: Theory and measure W Zhu, O Wu, F Su, Y Deng ACM Transactions on Knowledge Discovery from Data 18 (4), 1-37, 2024 | 1 | 2024 |
| A Latent Logistic Regression Model with Graph Data H Zhang, Y Deng, AJX Guo, QH Hou, O Wu arXiv preprint arXiv:2210.05218, 2022 | 1 | 2022 |
| Submodular Meta Data Compiling for Meta Optimization F Su, Y Zhu, O Wu, Y Deng Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | 1 | 2022 |
| Time-Gated Remaining Useful Life Prediction with Non-Periodical Inspection Data Y Deng, M Zhang, T Wang, H Wu 2021 IEEE 17th International Conference on Automation Science and …, 2021 | 1 | 2021 |
| On newton’s method for an inverse first passage problem Y DENG, A BARROS, A GRALL CSC14: The Sixth SIAM Workshop on Combinatorial Scientific Computing, 77, 2014 | 1 | 2014 |
| Remaining Useful Life Prediction via Bayesian Temporal Convolutional Networks S Hong, Y He, J Zhang, C Jiang, Y Deng 2021 International Conference on Advanced Computing and Endogenous Security, 1-8, 2022 | | 2022 |
| A Mathematical Foundation for Robust Machine Learning based on Bias-Variance Trade-off O Wu, W Zhu, Y Deng, H Zhang, Q Hou arXiv preprint arXiv:2106.05522, 2021 | | 2021 |
Antoine GrallFull Professor, Université de Technologie de Troyes (France), LIST3NEmail verificata su utt.fr
