Two-stage energy management for office buildings with workplace EV charging and renewable energy D Wu, H Zeng, C Lu, B Boulet IEEE Transactions on Transportation Electrification 3 (1), 225-237, 2017 | 241 | 2017 |
Multiple kernel learning-based transfer regression for electric load forecasting D Wu, B Wang, D Precup, B Boulet IEEE Transactions on Smart Grid 11 (2), 1183-1192, 2019 | 138 | 2019 |
Spatial-temporal residential short-term load forecasting via graph neural networks W Lin, D Wu, B Boulet IEEE Transactions on Smart Grid 12 (6), 5373-5384, 2021 | 130 | 2021 |
Automix: Unveiling the power of mixup for stronger classifiers Z Liu, S Li, D Wu, Z Liu, Z Chen, L Wu, SZ Li European Conference on Computer Vision, 441-458, 2022 | 92 | 2022 |
Fidora: Robust WiFi-based indoor localization via unsupervised domain adaptation X Chen, H Li, C Zhou, X Liu, D Wu, G Dudek IEEE Internet of Things Journal 9 (12), 9872-9888, 2022 | 73 | 2022 |
A q-learning based charging scheduling scheme for electric vehicles Q Dang, D Wu, B Boulet 2019 IEEE Transportation Electrification Conference and Expo (ITEC), 1-5, 2019 | 72 | 2019 |
Fido: Ubiquitous fine-grained wifi-based localization for unlabelled users via domain adaptation X Chen, H Li, C Zhou, X Liu, D Wu, G Dudek Proceedings of The Web Conference 2020, 23-33, 2020 | 66 | 2020 |
Low power adiabatic logic based on FinFETs N Liao, XX Cui, K Liao, KS Ma, D Wu, W Wei, R Li, DS Yu Science China information sciences 57, 1-13, 2014 | 63 | 2014 |
Time series anomaly detection for smart grids: A survey JE Zhang, D Wu, B Boulet 2021 IEEE electrical power and energy conference (EPEC), 125-130, 2021 | 61 | 2021 |
Building energy management with reinforcement learning and model predictive control: A survey H Zhang, S Seal, D Wu, F Bouffard, B Boulet IEEE Access 10, 27853-27862, 2022 | 55 | 2022 |
Ensemble learning for charging load forecasting of electric vehicle charging stations X Huang, D Wu, B Boulet 2020 IEEE Electric Power and Energy Conference (EPEC), 1-5, 2020 | 54 | 2020 |
Efficient residential electric load forecasting via transfer learning and graph neural networks D Wu, W Lin IEEE Transactions on Smart Grid 14 (3), 2423-2431, 2022 | 47 | 2022 |
Efficient multi-order gated aggregation network S Li, Z Wang, Z Liu, C Tan, H Lin, D Wu, Z Chen, J Zheng, SZ Li arXiv preprint arXiv:2211.03295 1, 2022 | 46 | 2022 |
Reinforcement learning based dynamic model combination for time series forecasting Y Fu, D Wu, B Boulet Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6639-6647, 2022 | 45 | 2022 |
Boosting based multiple kernel learning and transfer regression for electricity load forecasting D Wu, B Wang, D Precup, B Boulet Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017 | 43 | 2017 |
Architecture-Agnostic Masked Image Modeling--From ViT back to CNN S Li, D Wu, F Wu, Z Zang, S Li arXiv preprint arXiv:2205.13943, 2022 | 40 | 2022 |
Ev charging management with ann-based electricity price forecasting Q Dang, D Wu, B Boulet 2020 IEEE Transportation Electrification Conference & Expo (ITEC), 626-630, 2020 | 38 | 2020 |
DAFI: WiFi-based device-free indoor localization via domain adaptation H Li, X Chen, J Wang, D Wu, X Liu Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2021 | 33 | 2021 |
Large language model (llm) for telecommunications: A comprehensive survey on principles, key techniques, and opportunities H Zhou, C Hu, Y Yuan, Y Cui, Y Jin, C Chen, H Wu, D Yuan, L Jiang, ... arXiv preprint arXiv:2405.10825, 2024 | 32 | 2024 |
Optimizing home energy management and electric vehicle charging with reinforcement learning D Wu, G Rabusseau, V François-lavet, D Precup, B Boulet Proceedings of the 16th Adaptive Learning Agents, 2018 | 32 | 2018 |