| Towards effective visual representations for partial-label learning S Xia, J Lv, N Xu, G Niu, X Geng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 22 | 2023 |
| Learngene: From open-world to your learning task QF Wang, X Geng, SX Lin, SY Xia, L Qi, N Xu Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8557-8565, 2022 | 22 | 2022 |
| Ambiguity-Induced Contrastive Learning for Instance-Dependent Partial Label Learning SY Xia, J Lv, N Xu, X Geng Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022 | 14 | 2022 |
| Transformer as Linear Expansion of Learngene S Xia, M Zhang, X Yang, R Chen, H Chen, X Geng Proceedings of the AAAI Conference on Artificial Intelligence 38 (14), 16014 …, 2024 | 5 | 2024 |
| Reliable sensing data fusion through robust multiview prototype learning Q Tian, S Xia, M Cao, K Cheng IEEE Transactions on Industrial Informatics 18 (4), 2665-2673, 2021 | 4 | 2021 |
| Exploring Learngene via Stage-wise Weight Sharing for Initializing Variable-sized Models SY Xia, W Zhu, X Yang, X Geng arXiv preprint arXiv:2404.16897, 2024 | 3 | 2024 |
| Building Variable-Sized Models via Learngene Pool B Shi, S Xia, X Yang, H Chen, Z Kou, X Geng Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 14946 …, 2024 | 3 | 2024 |
| Initializing Variable-sized Vision Transformers from Learngene with Learnable Transformation S Xia, Y Zu, X Yang, X Geng The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0 | | |
| What Makes Partial-Label Learning Algorithms Effective? J Lv, Y Liu, S Xia, N Xu, M Xu, G Niu, ML Zhang, M Sugiyama, X Geng The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0 | | |