| Making the best of both worlds: A domain-oriented transformer for unsupervised domain adaptation W Ma, J Zhang, S Li, CH Liu, Y Wang, W Li Proceedings of the 30th ACM International Conference on Multimedia, 5620-5629, 2022 | 24* | 2022 |
| Dynamic domain adaptation for efficient inference S Li, J Zhang, W Ma, CH Liu, W Li Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 15 | 2021 |
| Meta-reweighted regularization for unsupervised domain adaptation S Li, W Ma, J Zhang, CH Liu, J Liang, G Wang IEEE Transactions on Knowledge and Data Engineering 35 (3), 2781-2795, 2021 | 11 | 2021 |
| Borrowing Knowledge From Pre-trained Language Model: A New Data-efficient Visual Learning Paradigm W Ma, S Li, JM Zhang, CH Liu, J Kang, Y Wang, G Huang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 2 | 2023 |
| Language Semantic Graph Guided Data-Efficient Learning W Ma, S Li, L Cai, J Kang Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| Source-Free Active Domain Adaptation via Augmentation-Based Sample Query and Progressive Model Adaptation S Li, R Zhang, K Gong, M Xie, W Ma, G Gao IEEE Transactions on Neural Networks and Learning Systems, 2023 | | 2023 |
| Resource Efficient Test-Time Training with Slimmable Network L Cai, S Li, W Ma, L Liu | | 2023 |
| Supplementary Material for Language Semantic Graph Guided Data-Efficient Learning W Ma, S Li, L Cai, J Kang | | |
jinming zhangBeijing Institute of TechnologyVerified email at bit.edu.cn
