| Data multi-scale decomposition strategies for air pollution forecasting: a comprehensive review H Liu, S Yin, C Chen, Z Duan Journal of Cleaner Production 277, 124023, 2020 | 63 | 2020 |
| Wind power prediction based on outlier correction, ensemble reinforcement learning, and residual correction S Yin, H Liu Energy 250, 123857, 2022 | 36 | 2022 |
| A new ensemble spatio-temporal PM2. 5 prediction method based on graph attention recursive networks and reinforcement learning J Tan, H Liu, Y Li, S Yin, C Yu Chaos, Solitons & Fractals 162, 112405, 2022 | 26 | 2022 |
| Hourly PM2. 5 concentration multi-step forecasting method based on extreme learning machine, boosting algorithm and error correction model S Yin, H Liu, Z Duan Digital Signal Processing 118, 103221, 2021 | 23 | 2021 |
| Short-Term Load Forecasting Based on Outlier Correction, Decomposition, and Ensemble Reinforcement Learning J Wang, H Liu, G Zheng, Y Li, S Yin Energies 16 (11), 4401, 2023 | 2 | 2023 |
| Multi-step traffic flow prediction using stacking ensemble learning model S Yin, H Liu, Y Li, J Tan, J Wang Fifth International Conference on Traffic Engineering and Transportation …, 2021 | 2 | 2021 |
| Forecasting wind speed using a reinforcement learning hybrid ensemble model: a high-speed railways strong wind signal prediction study in Xinjiang, China B Liu, X Pan, R Yang, Z Duan, Y Li, S Yin, N Nikitas, H Liu Transportation Safety and Environment 5 (4), tdac064, 2023 | 1 | 2023 |
| Train compartment vibration monitoring method and vibration signal feature library establishment and application methods H Liu, YU Chengming, Y Li, QIN Jin, L Zhang, S Yin, D Zhu US Patent 11,988,547, 2024 | | 2024 |
| Training method and system for passenger distribution prediction model, and passenger guiding method and system H Liu, D Zhu, QIN Jin, H Wu, S Yin, C Chen US Patent App. 17/776,585, 2022 | | 2022 |
