Qizhuo Xie — accepted AI-conference papers

2026

On Modality Weighting and Specificity for Multi-Modal Entity Alignment

Yu Xing, Qizhuo Xie, Yunhui Liu, Qing Gu, Tao Zheng, Bin Chong +1

AAAI 2026technical

Multi-modal entity alignment aims to identify equivalent entities across different multi-modal knowledge graphs (MMKGs). While prior work has achieved notable progress through improved multi-modal encoding and cross-modal fusion techniques, two critical challenges remain unresolved. First, due to

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2026

Towards Anomaly-Aware Pre-Training and Fine-Tuning for Graph Anomaly Detection

Yunhui Liu, Jiashun Cheng, Yiqing Lin, Qizhuo Xie, Jia Li, Fugee Tsung +4

ICLR 2026poster

Graph anomaly detection (GAD) has garnered increasing attention in recent years, yet remains challenging due to two key factors: (1) label scarcity stemming from the high cost of annotations and (2) homophily disparity at node and class levels. In this paper, we introduce Anomaly-Aware Pre-Training…

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