Shikai Guo — accepted AI-conference papers

2025

LBMKGC: Large Model-Driven Balanced Multimodal Knowledge Graph Completion

Yuan Guo, Qian Ma, Hui Li, Qiao Ning, Furui Zhan, Yu Gu +2

NeurIPS 2025poster

Multi-modal Knowledge Graph Completion (MMKGC) aims to predict missing entities, relations, or attributes in knowledge graphs by collaboratively modeling the triple structure and multimodal information (e.g., text, images, videos) associated with entities. This approach facilitates the automatic dis…

Cited by 0 Source ↗code ↗Scholar ↗

2024

VF-Detector: Making Multi-Granularity Code Changes on Vulnerability Fix Detector Robust to Mislabeled Changes

Zhenkan Fu, Shikai Guo, Hui Li, Rong Chen, Xiaochen Li, He Jiang

IJCAI 2024poster

As software development projects increasingly rely on open-source software, users face the risk of security vulnerabilities from third-party libraries. To address label and character noise in code changes, we present VF-Detector to automatically identifying bug-fix commits in actual noise developmen…

Cited by 1 Source ↗PDF ↗code ↗Scholar ↗