| On the integration of self-attention and convolution X Pan, C Ge, R Lu, S Song, G Chen, Z Huang, G Huang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 411 | 2022 |
| Domain adaptation via prompt learning C Ge, R Huang, M Xie, Z Lai, S Song, S Li, G Huang IEEE Transactions on Neural Networks and Learning Systems, 2023 | 157 | 2023 |
| Llava-uhd: an lmm perceiving any aspect ratio and high-resolution images Z Guo, R Xu, Y Yao, J Cui, Z Ni, C Ge, TS Chua, Z Liu, G Huang European Conference on Computer Vision, 390-406, 2025 | 60 | 2025 |
| Cross-modal adapter for vision-language retrieval H Jiang, J Zhang, R Huang, C Ge, Z Ni, S Song, G Huang Pattern Recognition, 111144, 2024 | 39* | 2024 |
| Using human feedback to fine-tune diffusion models without any reward model K Yang, J Tao, J Lyu, C Ge, J Chen, W Shen, X Zhu, X Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 26 | 2024 |
| Demystify Mamba in Vision: A Linear Attention Perspective D Han, Z Wang, Z Xia, Y Han, Y Pu, C Ge, J Song, S Song, B Zheng, ... arXiv preprint arXiv:2405.16605, 2024 | 20 | 2024 |
| Large scale air pollution prediction with deep convolutional networks C Ge, G Huang, T Xiong, S Song, L Yang, B Liu, W Yin, C Wu Science China Information Sciences 64, 1-11, 2021 | 16 | 2021 |
| ConvLLaVA: Hierarchical Backbones as Visual Encoder for Large Multimodal Models C Ge, S Cheng, Z Wang, J Yuan, Y Gao, J Song, S Song, G Huang, ... arXiv preprint arXiv:2405.15738, 2024 | 10 | 2024 |
| Causal intervention for human trajectory prediction with cross attention mechanism C Ge, S Song, G Huang Proceedings of the AAAI Conference on Artificial Intelligence 37 (1), 658-666, 2023 | 9 | 2023 |
| Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment J Guo, J Zhao, C Ge, C Du, Z Ni, S Song, H Shi, G Huang arXiv preprint arXiv:2406.04295, 2024 | 2 | 2024 |
