| Decorate the newcomers: Visual domain prompt for continual test time adaptation Y Gan, Y Bai, Y Lou, X Ma, R Zhang, N Shi, L Luo AAAI Best Student Paper, 2023 | 60 | 2023 |
| Exploring sparse visual prompt for cross-domain semantic segmentation S Yang, J Wu, J Liu, X Li, Q Zhang, M Pan, Y Gan, S Zhang arXiv preprint arXiv:2303.09792 1, 2023 | 24* | 2023 |
| Chain of thought prompt tuning in vision language models J Ge, H Luo, S Qian, Y Gan, J Fu, S Zhang arXiv preprint arXiv:2304.07919, 2023 | 18 | 2023 |
| Cloud-device collaborative adaptation to continual changing environments in the real-world Y Gan, M Pan, R Zhang, Z Ling, L Zhao, J Liu, S Zhang CVPR 2023, 2023 | 11 | 2023 |
| InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists Y Gan, S Park, A Schubert, A Philippakis, AM Alaa ICLR 2024, 2023 | 7 | 2023 |
| Assessing and enhancing robustness of deep learning models with corruption emulation in digital pathology P Huang, S Zhang, Y Gan, R Xu, R Zhu, W Qin, L Guo, S Jiang, L Luo 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023 | 3 | 2023 |
| Decouple Content and Motion for Conditional Image-to-Video Generation C Shen, Y Gan, C Chen, X Zhu, L Cheng, T Gao, J Wang Proceedings of the AAAI Conference on Artificial Intelligence 38 (5), 4757-4765, 2024 | 2 | 2024 |
| DiffuseIR: Diffusion Models for Isotropic Reconstruction of 3D Microscopic Images M Pan, Y Gan, F Zhou, J Liu, Y Zhang, A Wang, S Zhang, D Li MICCAI 2023, 2023 | 1 | 2023 |
| For HyperBFs AGOP is a greedy approximation to gradient descent Y Gan, T Poggio Center for Brains, Minds and Machines (CBMM), 2024 | | 2024 |
| Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting A Chen, H Yang, Y Gan, DA Gudovskiy, Z Dong, H Wang, T Okuno, ... ICML 2024, 2023 | | 2023 |
| A Homogeneous Transformer Architecture Y Gan, T Poggio Center for Brains, Minds and Machines (CBMM), 2023 | | 2023 |
Shanghang ZhangEECS, UC Berkeley在 eecs.berkeley.edu 的电子邮件经过验证
