Xigang Bao — accepted AI-conference papers

2024

M3TQA: Multi-View, Multi-Hop and Multi-Stage Reasoning for Temporal Question Answering

Zhiyuan Zha, Pengnian Qi, Xigang Bao, Mengyuan Tian, Biao Qin

ICASSP 2024accepted

Knowledge Graph (KG) have attained notable triumph over Question Answering (QA) tasks. However, the presence of temporal constraints on numerous facts within the real world has sparked heightened interest towards Temporal KGQA (TKGQA). Although previous methods have achieved great progress, they sti…

Cited by 0 Source ↗Scholar ↗

2024

Pseudo-Label Calibration Semi-supervised Multi-Modal Entity Alignment

Luyao Wang, Pengnian Qi, Xigang Bao, Chunlai Zhou, Biao Qin

AAAI 2024technical

Multi-modal entity alignment (MMEA) aims to identify equivalent entities between two multi-modal knowledge graphs for integration. Unfortunately, prior arts have attempted to improve the interaction and fusion of multi-modal information, which have overlooked the influence of modal-specific noise an…

Cited by 10 Source ↗PDF ↗Scholar ↗