| Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting T Zhou, Z Ma, Q Wen, X Wang, L Sun, R Jin International Conference on Machine Learning, 27268-27286, 2022 | 706 | 2022 |
| Transformers in Time Series: A Survey Q Wen, T Zhou, C Zhang, W Chen, Z Ma, J Yan, L Sun arXiv preprint arXiv:2202.07125, 2022 | 470 | 2022 |
| Film: Frequency improved legendre memory model for long-term time series forecasting T Zhou, Z Ma, Q Wen, L Sun, T Yao, W Yin, R Jin Advances in Neural Information Processing Systems 35, 12677-12690, 2022 | 82 | 2022 |
| Leakage Detection in Water Distribution Systems Based on Time–Frequency Convolutional Neural Network G Guo, X Yu, S Liu, Z Ma, Y Wu, X Xu, X Wang, K Smith, X Wu Journal of Water Resources Planning and Management 147 (2), 04020101, 2021 | 55 | 2021 |
| Novel leakage detection and localization method based on line spectrum pair and cubic interpolation search G Guo, X Yu, S Liu, X Xu, Z Ma, X Wang, Y Huang, K Smith Water Resources Management 34, 3895-3911, 2020 | 16 | 2020 |
| Water quality induced corrosion of stainless steel valves during long-term service in a reverse osmosis system X Xu, S Liu, Y Liu, K Smith, X Wang, J Li, Z Ma, Z Wang, Y Cui Journal of Environmental Sciences 89, 218-226, 2020 | 13 | 2020 |
| Multiple Leakage Detection and Isolation in District Metering Areas Using a Multistage Approach X Wang, J Li, S Liu, X Yu, Z Ma Journal of Water Resources Planning and Management 148 (6), 04022021, 2022 | 10 | 2022 |
| SADI: A Self-Adaptive Decomposed Interpretable Framework for Electric Load Forecasting Under Extreme Events H Liu, Z Ma, L Yang, T Zhou, R Xia, Y Wang, Q Wen, L Sun ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 8 | 2023 |
| GCformer: An Efficient Solution for Accurate and Scalable Long-Term Multivariate Time Series Forecasting Y Zhao, Z Ma, T Zhou, M Ye, L Sun, Y Qian Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 5* | 2023 |
| TreeDRNet: A Robust Deep Model for Long Term Time Series Forecasting T Zhou, J Zhu, X Wang, Z Ma, Q Wen, L Sun, R Jin arXiv preprint arXiv:2206.12106, 2022 | 3 | 2022 |
| Hybrid Attention Networks for Flow and Pressure Forecasting in Water Distribution Systems Z Ma, S Liu, G Guo, X Yu IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2020 | 3 | 2020 |
| eForecaster: Unifying Electricity Forecasting with Robust, Flexible, and Explainable Machine Learning Algorithms Z Zhu, W Chen, R Xia, T Zhou, P Niu, B Peng, W Wang, H Liu, Z Ma, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 15630 …, 2023 | 2 | 2023 |
Liang SunAlibaba GroupVerified email at asu.edu
