| Deep uncertainty quantification: A machine learning approach for weather forecasting B Wang, J Lu, Z Yan, H Luo, T Li, Y Zheng, G Zhang Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 144 | 2019 |
| An incremental attribute reduction approach based on knowledge granularity with a multi-granulation view Y Jing, T Li, H Fujita, Z Yu, B Wang Information Sciences 411, 23-38, 2017 | 99 | 2017 |
| Improving aspect term extraction with bidirectional dependency tree representation H Luo, T Li, B Liu, B Wang, H Unger IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (7), 1201 …, 2019 | 90 | 2019 |
| Energy futures and spots prices forecasting by hybrid SW-GRU with EMD and error evaluation B Wang, J Wang Energy Economics 90, 104827, 2020 | 53 | 2020 |
| Energy futures price prediction and evaluation model with deep bidirectional gated recurrent unit neural network and RIF-based algorithm B Wang, J Wang Energy 216, 119299, 2021 | 30 | 2021 |
| Energy futures prices forecasting by novel DPFWR neural network and DS-CID evaluation B Wang, J Wang Neurocomputing 338, 1-15, 2019 | 29 | 2019 |
| Prediction model of energy market by long short term memory with random system and complexity evaluation Y Yang, J Wang, B Wang Applied Soft Computing 95, 106579, 2020 | 26 | 2020 |
| Deep multi-task learning for air quality prediction B Wang, Z Yan, J Lu, G Zhang, T Li Neural Information Processing: 25th International Conference, ICONIP 2018 …, 2018 | 26 | 2018 |
| DeepPIPE: A distribution-free uncertainty quantification approach for time series forecasting B Wang, T Li, Z Yan, G Zhang, J Lu Neurocomputing 397, 11-19, 2020 | 24 | 2020 |
| Deep multi-hybrid forecasting system with random EWT extraction and variational learning rate algorithm for crude oil futures B Wang, J Wang Expert Systems with Applications 161, 113686, 2020 | 23 | 2020 |
| Energy market prediction with novel long short-term memory network: Case study of energy futures index volatility L Zhang, J Wang, B Wang Energy 211, 118634, 2020 | 22 | 2020 |
| Real-time prediction system of train carriage load based on multi-stream fuzzy learning H Yu, J Lu, A Liu, B Wang, R Li, G Zhang IEEE Transactions on Intelligent Transportation Systems 23 (9), 15155-15165, 2022 | 21 | 2022 |
| Dynamic maintenance of rough approximations in multi-source hybrid information systems Y Huang, T Li, C Luo, H Fujita, S Horng, B Wang Information Sciences 530, 108-127, 2020 | 21 | 2020 |
| HiSTGNN: Hierarchical spatio-temporal graph neural network for weather forecasting M Ma, P Xie, F Teng, B Wang, S Ji, J Zhang, T Li Information Sciences 648, 119580, 2023 | 15 | 2023 |
| Robust anomaly detection for multivariate time series through temporal GCNs and attention-based VAE Y Shi, B Wang, Y Yu, X Tang, C Huang, J Dong Knowledge-Based Systems 275, 110725, 2023 | 11 | 2023 |
| Real-time decision making for train carriage load prediction via multi-stream learning H Yu, A Liu, B Wang, R Li, G Zhang, J Lu AI 2020: Advances in Artificial Intelligence: 33rd Australasian Joint …, 2020 | 8 | 2020 |
| Explore uncertainty in residual networks for crowds flow prediction B Wang, Z Yan, J Lu, G Zhang, T Li 2018 International Joint Conference on Neural Networks (IJCNN), 1-7, 2018 | 8 | 2018 |
| Diverse activation functions in deep learning B Wang, T Li, Y Huang, H Luo, D Guo, SJ Horng 2017 12th International Conference on Intelligent Systems and Knowledge …, 2017 | 6 | 2017 |
| Forecasting hybrid neural network with variational learning rate and q-DSCID synchronization evaluation for energy market B Wang, J Wang Soft Computing 24 (22), 16811-16828, 2020 | 3 | 2020 |
| Road traffic flow prediction using deep transfer learning B Wang, Z Yan, J Lu, G Zhang, T Li Data Science and Knowledge Engineering for Sensing Decision Support …, 2018 | 3 | 2018 |
