| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Learning safe multi-label prediction for weakly labeled data | Machine Learning |
| 10 | 2018 |
| 10.1109/TKDE.2018.2810872 | 2018 | |||
| Instance selection method for improving graph-based semi-supervised learning | Frontiers of Computer Science |
| 4 | 2018 |
| Towards Safe Semi-supervised Classification: Adjusted Cluster Assumption via Clustering | Neural Processing Letters |
| 8 | 2017 |
| A brief introduction to weakly supervised learning | National Science Review |
| 701 | 2017 |
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Domain Adaptation in Reinforcement Learning: Approaches, Limitations, and Future Directions | Journal of The Institution of Engineers (India): Series B | 2024 | ||
| Partial multi-label learning via semi-supervised subspace collaboration | Knowledge-Based Systems |
| 2024 | |
| SAFER-STUDENT for Safe Deep Semi-Supervised Learning With Unseen-Class Unlabeled Data | IEEE Transactions on Knowledge and Data Engineering |
| 2024 | |
| Robust pseudo-label selection for holistic semi-supervised learning | SCIENTIA SINICA Informationis | 2024 | ||
| A systematic review for class-imbalance in semi-supervised learning | Artificial Intelligence Review |
| 1 | 2023 |