Shuhao Hu — accepted AI-conference papers

2026

SCOPE and SCION: Benchmark and Method for Ontology Induction and Fusion from Text

Miaobo Hu, Shuhao Hu, BoKun Wang, Rui Chen, Xiaobo Guo, Xin Wang +2

ICML 2026poster

Ontologies (schemas) are a key bottleneck for schema-grounded information extraction and knowledge graph construction, yet manual ontology engineering is expensive and schemas quickly fragment or drift across domains. We introduce SCOPE (Schema Construction and Ontology Induction Pipeline Evaluation…

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2025

Enhancing Mixture of Experts with Independent and Collaborative Learning for Long-Tail Visual Recognition

Yanhao Chen, Zhongquan Jian, Nianxin Ke, Shuhao Hu, Junjie Jiao, Qingqi Hong +1

IJCAI 2025

Deep neural networks (DNNs) face substantial challenges in Long-Tail Visual Recognition (LTVR) due to the inherent class imbalances in real-world data distributions. The Mixture of Experts (MoE) framework has emerged as a promising approach to addressing these issues. However, in MoE systems, expert

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