| Semantic knowledge guided class-incremental learning S Wang, W Shi, S Dong, X Gao, X Song, Y Gong IEEE Transactions on Circuits and Systems for Video Technology 33 (10), 5921 …, 2023 | 27 | 2023 |
| DKT: Diverse knowledge transfer transformer for class incremental learning X Gao, Y He, S Dong, J Cheng, X Wei, Y Gong Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 13 | 2023 |
| Beyond prompt learning: Continual adapter for efficient rehearsal-free continual learning X Gao, S Dong, Y He, Q Wang, Y Gong European Conference on Computer Vision, 89-106, 2024 | 5 | 2024 |
| CEAT: Continual Expansion and Absorption Transformer for Non-Exemplar Class-Incremental Learning S Dong, X Gao, Y He, Z Zhou, AC Kot, Y Gong IEEE Transactions on Circuits and Systems for Video Technology, 2024 | 1 | 2024 |
| Non-exemplar domain incremental learning via cross-domain concept integration Q Wang, Y He, S Dong, X Gao, S Wang, Y Gong European Conference on Computer Vision, 144-162, 2024 | 1 | 2024 |
| CEAT: Continual Expansion and Absorption Transformer for Non-Exemplar Class-Incremental Learnin X Gao, S Dong, Y He, X Wei, Y Gong arXiv preprint arXiv:2403.06670, 2024 | 1 | 2024 |
| LOBG: Less Overfitting for Better Generalization in Vision-Language Model C Ding, X Gao, S Dong, Y He, Q Wang, A Kot, Y Gong arXiv preprint arXiv:2410.10247, 2024 | | 2024 |
| Supplementary Materials for" Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free Continual Learning X Gao, S Dong, Y He, Q Wang, Y Gong | | |
| Non-Exemplar Domain Incremental Learning via Cross-Domain Concept Integration: Supplementary Materials Q Wang, Y He, S Dong, X Gao, S Wang, Y Gong | | |
