| Distributed framework for detecting PMU data manipulation attacks with deep autoencoders J Wang, D Shi, Y Li, J Chen, H Ding, X Duan IEEE Transactions on smart grid 10 (4), 4401-4410, 2018 | 118 | 2018 |
| Cyber-attacks related to intelligent electronic devices and their countermeasures: A review J Wang, D Shi 2018 53rd International Universities Power Engineering Conference (UPEC), 1-6, 2018 | 35 | 2018 |
| Privacy-preserving hierarchical state estimation in untrustworthy cloud environments J Wang, D Shi, J Chen, CC Liu IEEE Transactions on Smart Grid 12 (2), 1541-1551, 2020 | 14 | 2020 |
| Malicious synchrophasor detection based on highly imbalanced historical operational data J Wang, Z Sun, B Bao, D Shi CSEE Journal of Power and Energy Systems 5 (1), 11-20, 2019 | 9 | 2019 |
| Realistic measurement protection schemes against false data injection attacks on state estimators J Wang, D Shi, Y Li, J Chen, X Duan 2017 IEEE Power & Energy Society General Meeting, 1-5, 2017 | 8 | 2017 |
| Precise recovery of corrupted synchrophasors based on autoregressive Bayesian low-rank factorization and adaptive K-medoids clustering J Pei, J Wang, Z Wang, D Shi IEEE Transactions on Power Systems 38 (6), 5834-5848, 2022 | 7 | 2022 |
| Intelligent digitization of substation one-line diagrams based on computer vision C Yang, J Wang, L Yang, D Shi, X Duan IEEE Transactions on Power Delivery, 2023 | 5 | 2023 |
| Critical values of cyber parameters in a dynamic microgrid system LA Lee, CC Liu, J Wang, J Appiah‐Kubi, KP Schneider, FK Tuffner, ... IET Generation, Transmission & Distribution 16 (1), 99-109, 2022 | 5 | 2022 |
| A data preparation method for machine-learning-based power system cyber-attack detection H Chen, J Wang, D Shi 2018 International Conference on Power System Technology (POWERCON), 3003-3009, 2018 | 5 | 2018 |
| Unveiling bidding uncertainties in electricity markets: A Bayesian deep learning framework based on accurate variational inference S Wu, Z Ding, J Wang, D Shi Energy 276, 127286, 2023 | 3 | 2023 |
| An efficient cryptographic scheme for securing time-sensitive microgrid communications under key leakage and dishonest insiders J Wang, J Appiah-Kubi, LA Lee, D Shi, D Zou, CC Liu IEEE Transactions on Smart Grid 14 (2), 1210-1222, 2022 | 3 | 2022 |
| Robust fast PMU measurement recovery enhanced by randomized singular value and sequential Tucker decomposition J Pei, Z Wang, J Wang, D Shi IET Generation, Transmission & Distribution 16 (16), 3267-3281, 2022 | 3 | 2022 |
| Desaturated probability integral transform for normalizing power system measurements in data-driven manipulation detection J Wang, S Su, Y Li, J Chen, D Shi 2019 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2019 | 3 | 2019 |
| Learning from time-synchronized power system measurements with rare anomalous event records to detect PMU data manipulation attacks J Wang, D Shi 2017 IEEE Conference on Energy Internet and Energy System Integration (EI2), 1-6, 2017 | 3 | 2017 |
| Training A Dynamic Neural Network to Detect False Data Injection Attacks Under Multiple Unforeseen Operating Conditions D Hu, S Wu, J Wang, D Shi IEEE Transactions on Smart Grid, 2023 | 2 | 2023 |
| Automatic generation of topology diagrams for strongly-meshed power transmission systems J Wang, J Chen, D Shi, X Duan IEEE Transactions on Power Systems 39 (1), 1918-1931, 2023 | 2 | 2023 |
| Impact identification and assessment of cyber contingencies on measurement availability of power systems Z Wang, J Wang, D Shi, X Duan IET Generation, Transmission & Distribution 16 (12), 2513-2530, 2022 | 2 | 2022 |
| Co-Optimal Placement of PMUs and Associated Edge Access Networks in Wide-Area Measurement System Considering Cyber Contingencies Z Wang, J Wang, D Shi 2021 10th Renewable Power Generation Conference (RPG), 953-959, 2021 | 2 | 2021 |
| Data-driven measurement tampering detection considering spatial-temporal correlations J Pei, J Wang, D Shi 2019 IEEE 3rd Conference on Energy Internet and Energy System Integration …, 2019 | 2 | 2019 |
| A comprehensive end-to-end computer vision framework for restoration and recognition of low-quality engineering drawings L Yang, J Zhang, H Li, L Ren, C Yang, J Wang, D Shi Engineering Applications of Artificial Intelligence 133, 108524, 2024 | 1 | 2024 |
Dongyuan ShiHuazhong University of Science and Technology在 hust.edu.cn 的电子邮件经过验证
