Considering diversity and accuracy simultaneously for ensemble pruning. - Qun Dai; Rui Ye 003; Zhuan Liu (Appl. Soft Comput., 2017)

A novel transfer learning framework for time series forecasting. - Rui Ye 003; Qun Dai (Knowl. Based Syst., 2018)

A Novel Greedy Randomized Dynamic Ensemble Selection Algorithm. - Rui Ye 003; Qun Dai (Neural Process. Lett., 2018)

MultiTL-KELM: A multi-task learning algorithm for multi-step-ahead time series prediction. - Rui Ye 003; Qun Dai (Appl. Soft Comput., 2019)

A novel double incremental learning algorithm for time series prediction. - Jinhua Li; Qun Dai; Rui Ye 003 (Neural Comput. Appl., 2019)

A hybrid transfer learning algorithm incorporating TrSVM with GASEN. - Rui Ye 003; Qun Dai; Meiling Li (Pattern Recognit., 2019)

Integrating Multi-Source Transfer Learning, Active Learning and Metric Learning paradigms for Time Series Prediction. - Qitao Gu; Qun Dai; HuiHui Yu; Rui Ye 003 (Appl. Soft Comput., 2021)

Implementing transfer learning across different datasets for time series forecasting. - Rui Ye 003; Qun Dai (Pattern Recognit., 2021)

A relationship-aligned transfer learning algorithm for time series forecasting. - Rui Ye 003; Qun Dai (Inf. Sci., 2022)

A Data-Level Augmentation Framework for Time Series Forecasting With Ambiguously Related Source Data. - Rui Ye 003; Qun Dai (IEEE Trans. Knowl. Data Eng., 2025)