| BrainCLIP: Bridging brain and visual-linguistic representation via CLIP for generic natural visual stimulus decoding Y Liu, Y Ma, W Zhou, G Zhu, N Zheng arXiv preprint arXiv:2302.12971, 2023 | 29 | 2023 |
| Taisu: A 166m large-scale high-quality dataset for chinese vision-language pre-training Y Liu, G Zhu, B Zhu, Q Song, G Ge, H Chen, GH Qiao, R Peng, L Wu, ... Advances in Neural Information Processing Systems 35, 16705-16717, 2022 | 20 | 2022 |
| From summary to action: Enhancing large language models for complex tasks with open world apis Y Liu, Y Yuan, C Wang, J Han, Y Ma, L Zhang, N Zheng, H Xu arXiv preprint arXiv:2402.18157, 2024 | 4 | 2024 |
| Hires-llava: Restoring fragmentation input in high-resolution large vision-language models R Huang, X Ding, C Wang, J Han, Y Liu, H Zhao, H Xu, L Hou, W Zhang, ... arXiv preprint arXiv:2407.08706, 2024 | 2 | 2024 |
| A causality guided loss for imbalanced learning in scene graph generation R Peng, C Zhao, X Chen, Z Wang, Y Liu, Y Liu, X Lan Neurocomputing, 128042, 2024 | 2 | 2024 |
| See Through Their Minds: Learning Transferable Neural Representation from Cross-Subject fMRI Y Liu, Y Ma, G Zhu, H Jing, N Zheng arXiv preprint arXiv:2403.06361, 2024 | | 2024 |
| Hidden States in LLMs Improve EEG Representation Learning and Visual Decoding A Liua, H Jinga, Y Liua, Y Maa, N Zhenga | | 2024 |
