Adaptive course recommendation in MOOCs Y Lin, S Feng, F Lin, W Zeng, Y Liu, P Wu Knowledge-Based Systems 224, 107085, 2021 | 73 | 2021 |
Relation-aware dynamic attributed graph attention network for stocks recommendation S Feng, C Xu, Y Zuo, G Chen, F Lin, J XiaHou Pattern Recognition 121, 108119, 2022 | 58 | 2022 |
Multi-scale attention flow for probabilistic time series forecasting S Feng, C Miao, K Xu, J Wu, P Wu, Y Zhang, P Zhao IEEE Transactions on Knowledge and Data Engineering, 2023 | 17 | 2023 |
Latent diffusion transformer for probabilistic time series forecasting S Feng, C Miao, Z Zhang, P Zhao Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 11979 …, 2024 | 6 | 2024 |
Multi-scale reinforced profile for personalized recommendation with deep neural networks in MOOCs Y Lin, S Feng, F Lin, J Xiahou, W Zeng Applied Soft Computing 148, 110905, 2023 | 5 | 2023 |
Kernel-based hybrid interpretable transformer for high-frequency stock movement prediction F Lin, P Li, Y Lin, Z Chen, H You, S Feng 2022 IEEE International Conference on Data Mining (ICDM), 241-250, 2022 | 3 | 2022 |