Multimodal Prototype-Enhanced Network for Few-Shot Action Recognition. - Xinzhe Ni; Hao Wen 005; Yong Liu 033; Yatai Ji; Yujiu Yang (CoRR, 2022)

Accurate Estimation of Single-Cell Differentiation Potency Based on Network Topology and Gene Ontology Information. - Xinzhe Ni; Bohao Geng; Haoyu Zheng; Jiawei Shi; Gang Hu; Jianzhao Gao (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

What Large Language Models Bring to Text-rich VQA? - Xuejing Liu; Wei Tang 011; Xinzhe Ni; Jinghui Lu; Rui Zhao; Zechao Li; Fei Tan (CoRR, 2023)

Incremental Residual Concept Bottleneck Models. - Chenming Shang; Shiji Zhou; Hengyuan Zhang; Xinzhe Ni; Yujiu Yang; Yuwang Wang (CVPR, 2024)

Hint-Enhanced In-Context Learning Wakes Large Language Models Up For Knowledge-Intensive Tasks. - Yifan Wang; Qingyan Guo; Xinzhe Ni; Chufan Shi; Lemao Liu; Haiyun Jiang; Yujiu Yang (ICASSP, 2024)

Multimodal Prototype-Enhanced Network for Few-Shot Action Recognition. - Xinzhe Ni; Yong Liu 033; Hao Wen 005; Yatai Ji; Jing Xiao 006; Yujiu Yang (ICMR, 2024)

Exploring the Mystery of Influential Data for Mathematical Reasoning. - Xinzhe Ni; Yeyun Gong; Zhibin Gou; Yelong Shen; Yujiu Yang; Nan Duan; Weizhu Chen (CoRR, 2024)

URSA: Understanding and Verifying Chain-of-thought Reasoning in Multimodal Mathematics. - Ruilin Luo; Zhuofan Zheng; Yifan Wang; Yiyao Yu; Xinzhe Ni; Zicheng Lin; Jin Zeng; Yujiu Yang (CoRR, 2025)