| 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 (TPAMI), 2024 | 172 | 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, ... International Conference on Learning Representations (ICLR 2022), 2022 | 78 | 2022 |
| ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-supervised Continual Learning L Wang, K Yang, C Li, L Hong, Z Li, J Zhu IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021), 2021 | 63 | 2021 |
| AFEC: Active Forgetting of Negative Transfer in Continual Learning L Wang, M Zhang, Z Jia, Q Li, C Bao, K Ma, J Zhu, Y Zhong Advances in Neural Information Processing Systems (NeurIPS 2021), 2021 | 50 | 2021 |
| Triple-Memory Networks: A Brain-Inspired Method for Continual Learning L Wang, B Lei, Q Li, H Su, J Zhu, Y Zhong IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021 Sep …, 2021 | 36 | 2021 |
| SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model G Zhang, L Wang, G Kang, L Chen, Y Wei International Conference on Computer Vision (ICCV 2023), 2023 | 22 | 2023 |
| Disrupted-in-Schizophrenia-1 (DISC1) protein disturbs neural function in multiple disease-risk pathways L Shao, B Lu, Z Wen, S Teng, L Wang, Y Zhao, L Wang, K Ishizuka, X Xu, ... Human Molecular Genetics 26 (14), 2634-2648, 2017 | 20 | 2017 |
| 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 (ECCV 2022), 2022 | 16 | 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 (NeurIPS 2023), Spotlight, 2023 | 14 | 2023 |
| 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, Cover Article, 2023 | 12 | 2023 |
| Genetic dissection of mutual interference between two consecutive learning tasks in Drosophila J Zhao, X Zhang, B Zhao, W Hu, T Diao, L Wang, Y Zhong, Q Li Elife 12, e83516, 2023 | 4 | 2023 |
| Relaxed conditional image transfer for semi-supervised domain adaptation Q Luo, Z Liu, L Hong, C Li, K Yang, L Wang, F Zhou, G Li, Z Li, J Zhu arXiv preprint arXiv:2101.01400, 2021 | 4 | 2021 |
| Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation Y Lyu, L Wang, X Zhang, Z Sun, H Su, J Zhu, L Jing Advances in Neural Information Processing Systems (NeurIPS 2023), 2023 | 2 | 2023 |
| Few-shot Continual Learning: a Brain-inspired Approach L Wang, Q Li, Y Zhong, J Zhu arXiv preprint arXiv:2104.09034, 2021 | 2 | 2021 |
| Towards a General Framework for Continual Learning with Pre-training L Wang, J Xie, X Zhang, H Su, J Zhu arXiv preprint arXiv:2310.13888, 2023 | 1 | 2023 |
| Orchestrate Latent Expertise: Advancing Online Continual Learning with Multi-Level Supervision and Reverse Self-Distillation HW Yan, L Wang, K Ma, Y Zhong IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2024), 2024 | | 2024 |
| MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment K Zhou, L Wang, X Zhang, HPH Shum, FWB Li, J Li, X Liang arXiv preprint arXiv:2403.04398, 2024 | | 2024 |
| DualTeacher: Bridging Coexistence of Unlabelled Classes for Semi-supervised Incremental Object Detection Z Yuan, L Wang, W Ding, X Zhang, J Zhong, J Ai, J Li, J Zhu arXiv preprint arXiv:2401.05362, 2023 | | 2023 |
| Genetic Dissection of Mutual Interference between Two Consecutively Learned Tasks in Drosophila J Zhao, X Zhang, B Zhao, L Wang, W Hu, Y Zhong, Q Li bioRxiv, 2022.10. 18.512721, 2022 | | 2022 |
| The More, The Better? Active Silencing of Non-Positive Transfer for Efficient Multi-Domain Few-Shot Classification X Zhang, Z Liu, W Yang, L Wang, J Zhu ACM International Conference on Multimedia (MM 2022), 2022 | | 2022 |
Jun ZhuProfessor of Computer Science, Tsinghua UniversityZweryfikowany adres z mail.tsinghua.edu.cn
