A News-Driven Recurrent Neural Network for Market Volatility Prediction. - Peikang Lin; Xianjie Mo; Guidong Lin; Liwen Ling; Tingting Wei; Wei Luo 006 (ACPR, 2017)

Forecasting Agricultural Commodity Prices Using Model Selection Framework With Time Series Features and Forecast Horizons. - Dabin Zhang; Shanying Chen; Ling Liwen; Qiang Xia 001 (IEEE Access, 2020)

Transfer Learning Based Long Short-Term Memory Network for Financial Time Series Forecasting. - Ruibin Lin; Dabin Zhang; Liwen Ling; Junjie Huang; Guotao Cai (ICONIP (6), 2022)

Time Series Classification Based on Image Transformation Using Feature Fusion Strategy. - Wentao Jiang; Dabin Zhang; Liwen Ling; Ruibin Lin (Neural Process. Lett., 2022)

Optimal forecast combination based on PSO-CS approach for daily agricultural future prices forecasting. - Liling Zeng; Liwen Ling; Dabin Zhang; Wentao Jiang (Appl. Soft Comput., 2023)

A Time Series Forecasting Model Selection Framework using CNN and Data Augmentation for Small Sample Data. - Wentao Jiang; Liwen Ling; Dabin Zhang; Ruibin Lin; Liling Zeng (Neural Process. Lett., 2023)

Time series to imaging-based deep learning model for detecting abnormal fluctuation in agriculture product price. - Wentao Jiang; Dabin Zhang; Liwen Ling; Guotao Cai; Liling Zeng (Soft Comput., 2023)

A novel deep transfer learning framework with adversarial domain adaptation: application to financial time-series forecasting. - Dabin Zhang; Ruibin Lin; Tingting Wei; Liwen Ling; Junjie Huang (Neural Comput. Appl., 2023)

A combined framework for carbon emissions prediction integrating online search attention. - Dabin Zhang; Zehui Yu; Liwen Ling; Huanling Hu; Ruibin Lin (J. Intell. Fuzzy Syst., 2024)

A hybrid model for point and interval forecasting of agricultural price based on the decomposition-ensemble and KDE. - Dabin Zhang; Xuejing Zhang; Huanling Hu; Boting Zhang; Liwen Ling (Soft Comput., 2024)