| Randstainna: Learning stain-agnostic features from histology slides by bridging stain augmentation and normalization Y Shen, Y Luo, D Shen, J Ke International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 37 | 2022 |
| A federated learning system for histopathology image analysis with an orchestral stain-normalization GAN Y Shen, A Sowmya, Y Luo, X Liang, D Shen, J Ke IEEE Transactions on Medical Imaging 42 (7), 1969-1981, 2022 | 22 | 2022 |
| Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation R Zhang, Y Luo, J Liu, H Yang, Z Dong, D Gudovskiy, T Okuno, Y Nakata, ... Proceedings of the AAAI Conference on Artificial Intelligence 38 (15), 16812 …, 2024 | 11 | 2024 |
| WM-MoE: Weather-aware Multi-scale Mixture-of-Experts for Blind Adverse Weather Removal Y Luo, R Zhao, X Wei, J Chen, Y Lu, S Xie, T Wang, R Xiong, M Lu, ... arXiv preprint arXiv:2303.13739, 2023 | 6* | 2023 |
| Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Want W Lin, X Wei, R An, P Gao, B Zou, Y Luo, S Huang, S Zhang, H Li arXiv preprint arXiv:2403.20271, 2024 | 4 | 2024 |
| Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation R Zhang, A Cheng, Y Luo, G Dai, H Yang, J Liu, R Xu, L Du, Y Du, Y Jiang, ... arXiv preprint arXiv:2405.16486, 2024 | 3 | 2024 |
| LLM as Dataset Analyst: Subpopulation Structure Discovery with Large Language Model Y Luo, R An, B Zou, Y Tang, J Liu, S Zhang ECCV2024, 2024 | 1 | 2024 |
Shanghang ZhangEECS, UC Berkeley在 eecs.berkeley.edu 的电子邮件经过验证
