Fengrui Hua — accepted AI-conference papers

2026

BAG: Benchmarking Anomaly Detection on Dynamic Graphs

Fengrui Hua, Yiyan Qi, Zikai Wei, Yuxing Tian, Chengjin Xu, Xiaojun Wu +2

AAAI 2026technical

Anomaly detection in dynamic graphs is a critical area of research that focuses on identifying abnormal components within evolving graph structures that deviate significantly from typical patterns. Despite advancements in traditional temporal pattern mining and deep learning techniques, a comprehens

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2025

Golden Touchstone: A Comprehensive Bilingual Benchmark for Evaluating Financial Large Language Models

Xiaojun Wu, Junxi Liu, Huan-Yi Su, Zhouchi Lin, Yiyan Qi, Chengjin Xu +7

EMNLP 2025

As large language models (LLMs) increasingly permeate the financial sector, there is a pressing need for a standardized method to comprehensively assess their performance. Existing financial benchmarks often suffer from limited language and task coverage, low-quality datasets, and inadequate adaptab

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