Jiangning Zhu — accepted AI-conference papers

2026

InfoDet: A Dataset for Infographic Element Detection

Jiangning Zhu, Yuxing Zhou, Zheng Wang, Juntao Yao, Yima Gu, Yuhui Yuan +1

ICLR 2026poster

Given the central role of charts in scientific, business, and communication contexts, enhancing the chart understanding capabilities of vision-language models (VLMs) has become increasingly critical. A key limitation of existing VLMs lies in their inaccurate visual grounding of infographic elements,…

Cited by 0 Source ↗code ↗Scholar ↗

2025

Structural-Entropy-Based Sample Selection for Efficient and Effective Learning

Tianchi Xie, Jiangning Zhu, Guozu Ma, Minzhi Lin, Wei Chen, Weikai Yang +1

ICLR 2025poster

Sample selection improves the efficiency and effectiveness of machine learning models by providing informative and representative samples. Typically, samples can be modeled as a sample graph, where nodes are samples and edges represent their similarities. Most existing methods are based on local inf…

Cited by 1 Source ↗PDF ↗Scholar ↗