| A comprehensive survey of continual learning: theory, method and application L Wang, X Zhang, H Su, J Zhu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 666 | 2024 |
| Memory replay with data compression for continual learning L Wang, X Zhang, K Yang, L Yu, C Li, L Hong, S Zhang, Z Li, Y Zhong, ... arXiv preprint arXiv:2202.06592, 2022 | 127 | 2022 |
| Hierarchical decomposition of prompt-based continual learning: Rethinking obscured sub-optimality L Wang, J Xie, X Zhang, M Huang, H Su, J Zhu Advances in Neural Information Processing Systems 36, 2024 | 64 | 2024 |
| Incorporating neuro-inspired adaptability for continual learning in artificial intelligence L Wang, X Zhang, Q Li, M Zhang, H Su, J Zhu, Y Zhong Nature Machine Intelligence 5 (12), 1356-1368, 2023 | 54 | 2023 |
| Distribution-induced bidirectional generative adversarial network for graph representation learning S Zheng, Z Zhu, X Zhang, Z Liu, J Cheng, Y Zhao Proceedings of the ieee/cvf conference on computer vision and pattern …, 2020 | 50 | 2020 |
| Coscl: Cooperation of small continual learners is stronger than a big one L Wang, X Zhang, Q Li, J Zhu, Y Zhong European Conference on Computer Vision, 254-271, 2022 | 42 | 2022 |
| Canonical Correlation Analysis With L2,1-Norm for Multiview Data Representation M Xu, Z Zhu, X Zhang, Y Zhao, X Li IEEE Transactions on Cybernetics, 2019 | 42 | 2019 |
| Double low-rank representation with projection distance penalty for clustering Z Fu, Y Zhao, D Chang, X Zhang, Y Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 32 | 2021 |
| Just noticeable difference for deep machine vision J Jin, X Zhang, X Fu, H Zhang, W Lin, J Lou, Y Zhao IEEE Transactions on Circuits and Systems for Video Technology 32 (6), 3452-3461, 2021 | 31 | 2021 |
| Hierarchical prototype learning for zero-shot recognition X Zhang, S Gui, Z Zhu, Y Zhao, J Liu IEEE Transactions on Multimedia 22 (7), 1692-1703, 2019 | 29 | 2019 |
| A novel generalized Arnold transform-based zero-watermarking scheme L Sun, JC Xu, XX Zhang, W Dong, Y Tian Appl. Math. Inf. Sci. 4, 2023-2035, 2015 | 29 | 2015 |
| Diagnosing ensemble few-shot classifiers W Yang, X Ye, X Zhang, L Xiao, J Xia, Z Wang, J Zhu, H Pfister, S Liu IEEE Transactions on Visualization and Computer Graphics 28 (9), 3292-3306, 2022 | 28 | 2022 |
| Convolutional prototype learning for zero-shot recognition Z Liu, X Zhang, Z Zhu, S Zheng, Y Zhao, J Cheng Image and vision computing 98, 103924, 2020 | 24 | 2020 |
| Automatic grammatical error correction for sequence-to-sequence text generation: An empirical study T Ge, X Zhang, F Wei, M Zhou Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 21 | 2019 |
| Seeing All From a Few: -Norm-Induced Discriminative Prototype Selection X Zhang, Z Zhu, Y Zhao, D Chang, J Liu IEEE transactions on neural networks and learning systems 30 (7), 1954-1966, 2018 | 17 | 2018 |
| To see in the dark: N2DGAN for background modeling in nighttime scene Z Zhu, Y Meng, D Kong, X Zhang, Y Guo, Y Zhao IEEE Transactions on Circuits and Systems for Video Technology 31 (2), 492-502, 2020 | 15 | 2020 |
| An image watermarking scheme using Arnold transform and fuzzy smooth support vector machine L Sun, J Xu, X Zhang, Y Tian Mathematical Problems in Engineering 2015 (1), 931672, 2015 | 15 | 2015 |
| Diffusion induced graph representation learning F Li, Z Zhu, X Zhang, J Cheng, Y Zhao Neurocomputing 360, 220-229, 2019 | 13 | 2019 |
| Self-Supervised Deep Low-Rank Assignment Model for Prototype Selection X Zhang, Z Zhu, Y Zhao, D Kong IJCAI, 3141-3147, 2018 | 13 | 2018 |
| Auto-weighted low-rank representation for clustering Z Fu, Y Zhao, D Chang, X Zhang, Y Wang Knowledge-Based Systems 251, 109063, 2022 | 11 | 2022 |
Liyuan WangTsinghua UniversityVerified email at mails.tsinghua.edu.cn