| Exploring sparse visual prompt for cross-domain semantic segmentation S Yang, J Wu, J Liu, X Li, Q Zhang, M Pan, S Zhang arXiv preprint arXiv:2303.09792, 2023 | 15 | 2023 |
| Unsupervised spike depth estimation via cross-modality cross-domain knowledge transfer J Liu, Q Zhang, J Li, M Lu, T Huang, S Zhang arXiv preprint arXiv:2208.12527, 2022 | 7 | 2022 |
| Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation J Liu, R Xu, S Yang, R Zhang, Q Zhang, Z Chen, Y Guo, S Zhang arXiv preprint arXiv:2312.12480, 2023 | 1 | 2023 |
| Gradient-based Parameter Selection for Efficient Fine-Tuning Z Zhang, Q Zhang, Z Gao, R Zhang, E Shutova, S Zhou, S Zhang arXiv preprint arXiv:2312.10136, 2023 | 1 | 2023 |
| Split & Merge: Unlocking the Potential of Visual Adapters via Sparse Training Q Zhang, B Zou, R An, J Liu, S Zhang arXiv preprint arXiv:2312.02923, 2023 | | 2023 |
| MoSA: Mixture of Sparse Adapters for Visual Efficient Tuning Q Zhang, B Zou, R An, J Liu, S Zhang arXiv preprint arXiv:2312.02923, 2023 | | 2023 |
| Boosting Certified Robustness with EMA Method and Ensemble Model B Li, S Xin, Q Zhang arXiv preprint arXiv:2107.00230, 2021 | | 2021 |
Shanghang ZhangEECS, UC BerkeleyVerified email at eecs.berkeley.edu
