Rui Ye

Orcid: 0000-0002-9924-937X

Affiliations:
  • Nanjing University of Aeronautics and Astronautics, College of Computer Science and Technology, Nanjing, China


According to our database1, Rui Ye authored at least 14 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Hierarchical prediction of irregular multivariate time series from a multi-granularity perspective.
Inf. Process. Manag., 2026

A transformer-based transfer learning algorithm for time series imputation and forecasting with data scarcity.
Expert Syst. Appl., 2026

CloudMamba: Grouped Selective State Spaces for Point Cloud Analysis.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
iBACon: imBalance-Aware Contrastive Learning for Time Series Forecasting.
IEEE Trans. Knowl. Data Eng., October, 2025

A Data-Level Augmentation Framework for Time Series Forecasting With Ambiguously Related Source Data.
IEEE Trans. Knowl. Data Eng., July, 2025

2022
A relationship-aligned transfer learning algorithm for time series forecasting.
Inf. Sci., 2022

2021
Implementing transfer learning across different datasets for time series forecasting.
Pattern Recognit., 2021

Integrating Multi-Source Transfer Learning, Active Learning and Metric Learning paradigms for Time Series Prediction.
Appl. Soft Comput., 2021

2019
A hybrid transfer learning algorithm incorporating TrSVM with GASEN.
Pattern Recognit., 2019

A novel double incremental learning algorithm for time series prediction.
Neural Comput. Appl., 2019

MultiTL-KELM: A multi-task learning algorithm for multi-step-ahead time series prediction.
Appl. Soft Comput., 2019

2018
A Novel Greedy Randomized Dynamic Ensemble Selection Algorithm.
Neural Process. Lett., 2018

A novel transfer learning framework for time series forecasting.
Knowl. Based Syst., 2018

2017
Considering diversity and accuracy simultaneously for ensemble pruning.
Appl. Soft Comput., 2017


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