| A Stackelberg game-theoretic approach to optimal real-time pricing for the smart grid FL Meng, XJ Zeng Soft Computing 17 (12), 2365–2380, 2013 | 123 | 2013 |
| Uncertainty-resistant stochastic MPC approach for optimal operation of CHP microgrid Y Zhang, F Meng, R Wang, B Kazemtabrizi, J Shi Energy 179, 1265-1278, 2019 | 121 | 2019 |
| A stochastic MPC based approach to integrated energy management in microgrids Y Zhang, F Meng, R Wang, W Zhu, XJ Zeng Sustainable cities and society 41, 349-362, 2018 | 117 | 2018 |
| A Profit Maximization Approach to Demand Response Management with Customers Behavior Learning in Smart Grid FL Meng, XJ Zeng IEEE Transactions on Smart Grid 7 (3), 1516-1529, 2016 | 113 | 2016 |
| Dynamic decision making in lane change: Game theory with receding horizon F Meng, J Su, C Liu, WH Chen 2016 UKACC 11th International Conference on Control (CONTROL), 1-6, 2016 | 89 | 2016 |
| An optimal real-time pricing for demand-side management: A Stackelberg game and genetic algorithm approach FL Meng, XJ Zeng Neural Networks (IJCNN), 2014 International Joint Conference on, 1703 - 1710, 2014 | 68 | 2014 |
| Data Augmentation with norm-AE and Selective Pseudo-Labelling for Unsupervised Domain Adaptation Q Wang, F Meng, TP Breckon Neural Networks, 2023 | 55* | 2023 |
| Dynamic clustering analysis for driving styles identification MVN de Zepeda, F Meng, J Su, XJ Zeng, Q Wang Engineering Applications of Artificial Intelligence 97, 104096, 2021 | 54 | 2021 |
| Mutant reduction based on dominance relation for weak mutation testing D Gong, G Zhang, X Yao, F Meng Information and Software Technology 81, 82-96, 2017 | 43 | 2017 |
| Process knowledge-guided autonomous evolutionary optimization for constrained multiobjective problems M Zuo, D Gong, Y Wang, X Ye, B Zeng, F Meng IEEE Transactions on Evolutionary Computation 28 (1), 193-207, 2023 | 40 | 2023 |
| A bilevel game-theoretic decision-making framework for strategic retailers in both local and wholesale electricity markets Q Hong, F Meng, J Liu, R Bo Applied Energy 330, 120311, 2023 | 40 | 2023 |
| An integrated optimization + learning approach to optimal dynamic pricing for the retailer with multi-type customers in smart grids F Meng, XJ Zeng, Y Zhang, CJ Dent, D Gong Information Sciences 448, 215 - 232, 2018 | 37 | 2018 |
| Addressing modern and practical challenges in machine learning: a survey of online federated and transfer learning S Dai, F Meng Applied Intelligence 53 (9), 11045–11072, 2023 | 33 | 2023 |
| Gesture segmentation based on a two-phase estimation of distribution algorithm K Liu, D Gong, F Meng, H Chen, GG Wang Information Sciences, 88-105, 2017 | 33 | 2017 |
| A bilevel optimization approach to demand response management for the smart grid FL Meng, XJ Zeng Evolutionary Computation (CEC), 2016 IEEE Congress on, 287-294, 2016 | 30 | 2016 |
| Progressively select and reject pseudo-labelled samples for open-set domain adaptation Q Wang, F Meng, TP Breckon IEEE Transactions on Artificial Intelligence, 2024 | 29 | 2024 |
| Towards cyber security for low-carbon transportation: Overview, challenges and future directions Y Cao, S Li, C Lv, D Wang, H Sun, J Jiang, F Meng, L Xu, X Cheng Renewable and Sustainable Energy Reviews 183, 113401, 2023 | 27 | 2023 |
| Federatednilm: A distributed and privacy-preserving framework for non-intrusive load monitoring based on federated deep learning S Dai, F Meng, Q Wang, X Chen 2023 International Joint Conference on Neural Networks (IJCNN), 01-08, 2023 | 26 | 2023 |
| Snow coverage mapping by learning from sentinel-2 satellite multispectral images via machine learning algorithms Y Wang, J Su, X Zhai, F Meng, C Liu Remote Sensing 14 (3), 782, 2022 | 24 | 2022 |
| Physics-informed deep learning for modelling particle aggregation and breakage processes X Chen, LG Wang, F Meng, ZH Luo Chemical Engineering Journal 426, 131220, 2021 | 21 | 2021 |