Jinxiang Xia — accepted AI-conference papers

2025

OAgents: An Empirical Study of Building Effective Agents

He Zhu, Tianrui Qin, King Zhu, Heyuan Huang, Yeyi Guan, Jinxiang Xia +17

EMNLP 2025

Recently, Agentic AI has become an increasingly popular field of research. However, we argue that current practices on agent research are far from standard, rigorous scientific research, which makes it hard to conduct apples-to-apples comparisons among and against existing methods. As a result, it i

Cited by 0 Source ↗PDF ↗code ↗Scholar ↗

2025

Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection

Yue Hou, He Zhu, Ruomei Liu, Yingke Su, Jinxiang Xia, Junran Wu +1

AAAI 2025technical

With the emerging of huge amount of unlabeled data, unsupervised out-of-distribution (OOD) detection is vital for ensuring the reliability of graph neural networks (GNNs) by identifying OOD samples from in-distribution (ID) ones during testing, where encountering novel or unknown data is inevitable.…

Cited by 0 Source ↗PDF ↗code ↗Scholar ↗