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Xinzhe Ni
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2020 – today
- 2024
- [c3]Chenming Shang, Shiji Zhou, Hengyuan Zhang, Xinzhe Ni, Yujiu Yang, Yuwang Wang:
Incremental Residual Concept Bottleneck Models. CVPR 2024: 11030-11040 - [c2]Yifan Wang, Qingyan Guo, Xinzhe Ni, Chufan Shi, Lemao Liu, Haiyun Jiang, Yujiu Yang:
Hint-Enhanced In-Context Learning Wakes Large Language Models Up For Knowledge-Intensive Tasks. ICASSP 2024: 10276-10280 - [c1]Xinzhe Ni
, Yong Liu
Multimodal Prototype-Enhanced Network for Few-Shot Action Recognition. ICMR 2024: 1-10 - [i5]Xinzhe Ni, Yeyun Gong, Zhibin Gou, Yelong Shen, Yujiu Yang, Nan Duan, Weizhu Chen:
Exploring the Mystery of Influential Data for Mathematical Reasoning. CoRR abs/2404.01067 (2024) - [i4]Chenming Shang, Shiji Zhou, Hengyuan Zhang, Xinzhe Ni, Yujiu Yang, Yuwang Wang:
Incremental Residual Concept Bottleneck Models. CoRR abs/2404.08978 (2024) - 2023
- [i3]Yifan Wang, Qingyan Guo, Xinzhe Ni, Chufan Shi, Lemao Liu, Haiyun Jiang, Yujiu Yang:
Hint-enhanced In-Context Learning wakes Large Language Models up for knowledge-intensive tasks. CoRR abs/2311.01949 (2023) - [i2]Xuejing Liu, Wei Tang, Xinzhe Ni, Jinghui Lu, Rui Zhao, Zechao Li, Fei Tan:
What Large Language Models Bring to Text-rich VQA? CoRR abs/2311.07306 (2023) - 2022
- [j1]Xinzhe Ni
Accurate Estimation of Single-Cell Differentiation Potency Based on Network Topology and Gene Ontology Information. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3255-3262 (2022) - [i1]Xinzhe Ni, Hao Wen
Multimodal Prototype-Enhanced Network for Few-Shot Action Recognition. CoRR abs/2212.04873 (2022)
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