Fuzzy hypergraph network for recommending top-K profitable stocks X Ma, T Zhao, Q Guo, X Li, C Zhang Information Sciences 613, 239-255, 2022 | 44 | 2022 |
COVID19-MLSF: A multi-task learning-based stock market forecasting framework during the COVID-19 pandemic C Yuan, X Ma, H Wang, C Zhang, X Li Expert Systems with Applications 217, 119549, 2023 | 28 | 2023 |
A hierarchical attention network for stock prediction based on attentive multi-view news learning X Chen, X Ma, H Wang, X Li, C Zhang Neurocomputing 504, 1-15, 2022 | 28 | 2022 |
Asset correlation based deep reinforcement learning for the portfolio selection T Zhao, X Ma, X Li, C Zhang Expert Systems with Applications 221, 119707, 2023 | 23 | 2023 |
Image smoothing based on global sparsity decomposition and a variable parameter X Ma, X Li, Y Zhou, C Zhang Computational Visual Media 7, 483-497, 2021 | 16 | 2021 |
U-mixer: An unet-mixer architecture with stationarity correction for time series forecasting X Ma, X Li, L Fang, T Zhao, C Zhang Proceedings of the AAAI conference on artificial intelligence 38 (13), 14255 …, 2024 | 11 | 2024 |
A representation learning framework for stock movement prediction W Feng, X Ma, X Li, C Zhang Applied Soft Computing 144, 110409, 2023 | 11 | 2023 |
Two‐stage image smoothing based on edge‐patch histogram equalisation and patch decomposition Y Liu, X Ma, X Li, C Zhang IET image processing 14 (6), 1132-1140, 2020 | 11 | 2020 |
Dynamic graph construction via motif detection for stock prediction X Ma, X Li, W Feng, L Fang, C Zhang Information Processing & Management 60 (6), 103480, 2023 | 10 | 2023 |
TFformer: A time–frequency domain bidirectional sequence-level attention based transformer for interpretable long-term sequence forecasting T Zhao, L Fang, X Ma, X Li, C Zhang Pattern Recognition 158, 110994, 2025 | 3 | 2025 |
MPR-Net: multi-scale pattern reproduction guided universality time series interpretable forecasting T Zhao, X Ma, X Li, C Zhang arXiv preprint arXiv:2307.06736, 2023 | 3 | 2023 |
MDWConv: CNN based on multi-scale atrous pyramid and depthwise separable convolution for long time series forecasting G Tian, Y Xu, X Ma, X Li, C Zhang Neural Networks 185, 107139, 2025 | | 2025 |
Reinforcement learning-based portfolio optimization with deterministic state transition G Song, T Zhao, X Ma, P Lin, C Cui Information Sciences 690, 121538, 2025 | | 2025 |
Bridging the Modality Gap: Dimension Information Alignment and Sparse Spatial Constraint for Image-Text Matching X Ma, X Li, L Fang, C Zhang Proceedings of the 32nd ACM International Conference on Multimedia, 5074-5082, 2024 | | 2024 |
A Parameter Adaptive Method for Image Smoothing S Wang, X Ma, X Li Tsinghua Science and Technology 29 (4), 1138-1151, 2024 | | 2024 |
Td-Hcn: A Trend-Driven Hypergraph Convolutional Network for Stock Recommendation L Fang, C Zhang, X Ma, T Zhao, Q Guo, X Li Available at SSRN 4806890, 0 | | |