| Incremental residual concept bottleneck models C Shang, S Zhou, H Zhang, X Ni, Y Yang, Y Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 15 | 2024 |
| Multimodal prototype-enhanced network for few-shot action recognition X Ni, Y Liu, H Wen, Y Ji, J Xiao, Y Yang Proceedings of the 2024 International Conference on Multimedia Retrieval, 1-10, 2024 | 14 | 2024 |
| What Large Language Models Bring to Text-rich VQA? X Liu, W Tang, X Ni, J Lu, R Zhao, Z Li, F Tan arXiv preprint arXiv:2311.07306, 2023 | 9 | 2023 |
| Hint-enhanced in-context learning wakes large language models up for knowledge-intensive tasks Y Wang, Q Guo, X Ni, C Shi, L Liu, H Jiang, Y Yang ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 5 | 2024 |
| Exploring the mystery of influential data for mathematical reasoning X Ni, Y Gong, Z Gou, Y Shen, Y Yang, N Duan, W Chen arXiv preprint arXiv:2404.01067, 2024 | 3 | 2024 |
| Accurate estimation of single-cell differentiation potency based on network topology and gene ontology information X Ni, B Geng, H Zheng, J Shi, G Hu, J Gao IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (6 …, 2021 | 3 | 2021 |
| URSA: Understanding and Verifying Chain-of-thought Reasoning in Multimodal Mathematics R Luo, Z Zheng, Y Wang, Y Yu, X Ni, Z Lin, J Zeng, Y Yang arXiv preprint arXiv:2501.04686, 2025 | | 2025 |