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Selected Publications

See Google Scholar profile for a full list of publications.

1. M Zhou, J Lu, Y. Song, G. Zhang.
   Multi-Stream Concept Drift Self-Adaptation Using Graph Neural Network.
   IEEE Transactions on Knowledge & Data Engineering, 2023.
   

2. Y. Song, T. Cui, F, Liu.
   Designing fair AI systems: how explanation specificity influences users’ perceived fairness and trusting intentions.
   The 31st European Conference on Information Systems, 2023.
   

3. A. Liu, J. Lu, Y. Song, X. Xuan, G. Zhang.
   Concept Drift Detection Delay Index.
   IEEE Transactions on Knowledge and Data Engineering, 2022.
   

4. Y. Song, J. Lu, A. Liu, H. Lu, G. Zhang.
   Learning data streams with changing distributions and temporal dependency.
   IEEE Transactions on Neural Networks and Learning Systems, 2021.
   

5. Y. Song, J. Lu, A. Liu, H. Lu, G. Zhang.
   A Segment-based Drift Adaptation Method for Data Streams.
   IEEE Transactions on Neural Networks and Learning Systems, 2021.
   

6. F. Dong, J. Lu, Y. Song, F. Liu, G. Zhang.
   A Drift Region-Based Data Sample Filtering Method.
   IEEE Transactions on Cybernetics, 2021.
   

7. J. Liao, J. Zhou, Y. Song, B. Liu, Y. Chen, F. Wang, C. Chen, J. Lin, X. Chen, J. Lu,and D, Jin.
   Preselectable Optical Fingerprints of Heterogeneous Upconversion Nanoparticles.
   Nano Letters, 2021.
   

8. Y. Song, J. Lu, H. Lu, G. Zhang.
   Fuzzy Clustering-based Adaptive Regression for Drifting Data Streams.
   IEEE Transactions on Fuzzy Systemss, 2019.
   

9. A. Liu, Y. Song, G. Zhang, J. Lu.
   Regional Concept Drift Detection and Density Synchronized Drift Adaptation.
   International Joint Conference on Artificial Intelligence, 2017.
   

10. J. Wang, Y. Song, F. Liu, R. Hou.
    Analysis and Application of Forecasting Models in Wind Power Integration: A Review of Multi-step-ahead Wind Speed Forecasting Models.
    Renewable and Sustainable Energy Reviews, 2016.