Yu-Feng Li

10 papers in the IJCAI proceedings

IJCAI 2025

Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models

with Xiao-Wen Yang, Jie-Jing Shao, Lan-Zhe Guo, Bo-Wen Zhang, Zhi Zhou, Lin-Han Jia, Wang-Zhou Dai

doi:10.24963/ijcai.2025/1195

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IJCAI 2024

LSPAN: Spectrally Localized Augmentation for Graph Consistency Learning

with Heng-Kai Zhang, Yi-Ge Zhang, Zhi Zhou

doi:10.24963/ijcai.2024/604

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IJCAI 2021

Abductive Learning with Ground Knowledge Base

with Le-Wen Cai, Wang-Zhou Dai, Yu-Xuan Huang, Stephen Muggleton, Yuan Jiang

doi:10.24963/ijcai.2021/250

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Safe Weakly Supervised Learning

doi:10.24963/ijcai.2021/701

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Towards Robust Model Reuse in the Presence of Latent Domains

with Jie-Jing Shao, Zhanzhan Cheng, Shiliang Pu

doi:10.24963/ijcai.2021/407

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IJCAI 2019

Learning for Tail Label Data: A Label-Specific Feature Approach

with Tong Wei, Wei-Wei Tu

doi:10.24963/ijcai.2019/533

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Partial Label Learning with Unlabeled Data

with Qian-Wei Wang, Zhi-Hua Zhou

doi:10.24963/ijcai.2019/521

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Rapid Performance Gain through Active Model Reuse

with Feng Shi

doi:10.24963/ijcai.2019/472

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IJCAI 2018

Does Tail Label Help for Large-Scale Multi-Label Learning

with Tong Wei

doi:10.24963/ijcai.2018/395

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Lightweight Label Propagation for Large-Scale Network Data

with De-Ming Liang

doi:10.24963/ijcai.2018/475

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Future Conferences

AI Journal Division

IJCAI Proceedings