Rendering Optimization for Mobile Web 3D Based on Animation Data Separation and On-Demand Loading. - Liang Li; Xiuquan Qiao; Qiong Lu; Pei Ren; Ruibin Lin (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)

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)

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)

Risk-Aware SDN Defense Framework Against Anti-Honeypot Attacks Using Safe Reinforcement Learning. - Dongying Gao; Caiwei Guo; Yi Zhang; Wen Ji; Zhilei Lv; Zheng Li; Kunsan Zhang; Ruibin Lin (Int. J. Netw. Manag., 2024)

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 text-based framework for carbon price forecasting via multivariate temporal graph neural network. - Dabin Zhang; Zehui Yu; Zhimei Zeng; Boting Zhang; Ruibin Lin; Huanling Hu (J. Supercomput., 2025)