| Classification with Label Distribution Learning. J Wang, X Geng Proceedings of International Joint Conference on Artificial Intelligence …, 2019 | 45 | 2019 |
| Label Distribution Learning by Exploiting Label Distribution Manifold J Wang, X Geng IEEE Transactions on Neural Networks and Learning Systems, 2021 | 36 | 2021 |
| Theoretical analysis of label distribution learning J Wang, X Geng Proceedings of the AAAI Conference on Artificial Intelligence (AAAI'19 …, 2019 | 32 | 2019 |
| Label Distribution Learning Machine J Wang, X Geng International Conference on Machine Learning (ICML'21), 10749-10759, 2021 | 20 | 2021 |
| Re-weighting large margin label distribution learning for classification J Wang, X Geng, H Xue IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (9), 5445-5459, 2021 | 20 | 2021 |
| Learn the Highest Label and Rest Label Description Degrees. J Wang, X Geng International Joint Conference on Artificial Intelligence (IJCAI'21), 3097-3103, 2021 | 12 | 2021 |
| From instance to metric calibration: A unified framework for open-world few-shot learning Y An, H Xue, X Zhao, J Wang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 7 | 2023 |
| Imbalanced label distribution learning X Zhao, Y An, N Xu, J Wang, X Geng Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 11336 …, 2023 | 5 | 2023 |
| Large Margin Weighted -Nearest Neighbors Label Distribution Learning for Classification J Wang, X Geng IEEE Transactions on Neural Networks and Learning Systems, 2023 | 3 | 2023 |
| Genes in Intelligent Agents F Feng, J Wang, C Zhang, W Li, X Yang, X Geng arXiv preprint arXiv:2306.10225, 2023 | 2 | 2023 |
| Transferring Core Knowledge via Learngenes F Feng, J Wang, X Geng arXiv preprint arXiv:2401.08139, 2024 | 1 | 2024 |
| Exploiting Multi-Label Correlation in Label Distribution Learning Z Kou, J Wang, Y Jia, X Geng | 1 | 2024 |
| Manipulating the Label Space for In-Context Classification H Chen, X Yang, Y Huang, Z Wu, J Wang, X Geng arXiv preprint arXiv:2312.00351, 2023 | 1 | 2023 |
| Inaccurate Label Distribution Learning Z Kou, Y Jia, J Wang, X Geng arXiv preprint arXiv:2302.13000, 2023 | 1 | 2023 |
| Driver distraction detection using semi-supervised lightweight vision transformer AAQ Mohammed, X Geng, J Wang, Z Ali Engineering Applications of Artificial Intelligence 129, 107618, 2024 | | 2024 |
| Label Distribution Learning by Utilizing Common and Label-Specific Feature Fusion Space Z Zhang, J Wang, X Geng | | 2024 |
| Label Distribution Learning by Partitioning Label Distribution Manifold J Wang, J Lv, X Geng IEEE Transactions on Neural Networks and Learning Systems, 2023 | | 2023 |
| RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Inter-label Correlations KY Xie, J Wang, Y Jia, B Shi, X Geng arXiv preprint arXiv:2312.06343, 2023 | | 2023 |
| Instance-Dependent Inaccurate Label Distribution Learning. Z Kou, J Wang, Y Jia, B Liu, X Geng IEEE Transactions on Neural Networks and Learning Systems, 2023 | | 2023 |
| Residual K-Nearest Neighbors Label Distribution Learning J Wang, X Geng Available at SSRN 4332113, 0 | | |
Xin GengSchool of Computer Science and Engineering, Southeast UniversityVerified email at seu.edu.cn
