Rui Ye - Concepedia

Author

Rui Ye

Shanghai Jiao Tong University ORCID

Also Known As

Liu, Guangyi, Rui Ye, Ye Rui, Ye, Rui

Publications

909

Citations

H-Index

Concepts

All Affiliations

Shanghai Jiao Tong University Nanjing University of Aeronautics and Astronautics Zhejiang University Harbin Institute of Technology Shandong Normal University

About

Rui Ye is an author at Shanghai Jiao Tong University specializing in engineering, machine learning, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	14	14	672
2	Applied Physics	2	2	39
3	Medicine	1	1	19
4	Biomedical Engineering	1	1	19
5	Biomolecular Engineering	1	1	19

Rui Ye

Publications

836

Citations

H-Index

Page 1

	Year	Citations
A novel transfer learning framework for time series forecasting Rui Ye, Qun Dai Knowledge-Based Systems Forecasting MethodologyEngineeringMachine LearningData SciencePredictive Analytics	2018	131
Implementing transfer learning across different datasets for time series forecasting Rui Ye, Qun Dai Pattern Recognition Forecasting MethodologyEngineeringMachine LearningData ScienceData Mining	2020	115
Considering diversity and accuracy simultaneously for ensemble pruning Qun Dai, Rui Ye, Zhuan Liu Applied Soft Computing EngineeringMachine LearningData MiningPattern RecognitionComputer Science	2017	80
GPA-Net:No-Reference Point Cloud Quality Assessment With Multi-Task Graph Convolutional Network Ziyu Shan, Qi Yang, Rui Ye, IEEE Transactions on Visualization and Computer Graphics	2023	72
OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning Rui Ye, Wenhao Wang, Jingyi Chai, Artificial IntelligenceEngineeringMachine LearningFederated StructureDecentralized Private Data	2024	72
Direct extraction of topological Zak phase with the synthetic dimension Guangzhen Li, Luojia Wang, Rui Ye, Light Science & Applications	2023	53
A novel double incremental learning algorithm for time series prediction Jinhua Li, Qun Dai, Rui Ye Neural Computing and Applications Intelligent ForecastingForecasting MethodologyIncremental LearningEngineeringMachine Learning	2018	44
MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning Baoquan Zhang, Xutao Li, Shanshan Feng, Proceedings of the AAAI Conference on Artificial Intelligence Artificial IntelligenceFew-shot LearningEngineeringMachine LearningModel Tuning	2022	39
Integrating Multi-Source Transfer Learning, Active Learning and Metric Learning paradigms for Time Series Prediction Qitao Gu, Qun Dai, Huihui Yu, Applied Soft Computing EngineeringMachine LearningData ScienceData MiningPrediction Modelling	2021	33
A relationship-aligned transfer learning algorithm for time series forecasting Rui Ye, Qun Dai Information Sciences Forecasting MethodologyEngineeringMachine LearningData SciencePredictive Analytics	2022	33

Page 1