| A Concise Yet Effective Model for Non-Aligned Incomplete Multi-View and Missing Multi-Label Learning X Li, S Chen IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (10), 5918 …, 2022 | 61 | 2022 |
| No Regularization is Needed: An Efficient and Effective Model for Incomplete Label Distribution Learning X Li, S Chen arXiv preprint arXiv:2308.07047, 2023 | 1 | 2023 |
| Pushing One Pair of Labels Apart Each Time in Multi-Label Learning: From Single Positive to Full Labels X Li, X Wang, S Chen SCIENCE CHINA Information Sciences 68 (6), 162102, 2025 | | 2025 |
| No Regularization Is Needed: Efficient and Effective Incomplete Label Distribution Learning X Li, S Chen Proceedings of the Thirty-Third International Joint Conference on Artificial …, 2024 | | 2024 |
| A Survey on Incomplete Multi-label Learning: Recent Advances and Future Trends X Li, J Liu, X Wang, S Chen arXiv preprint arXiv:2406.06119, 2024 | | 2024 |
