most citedGrad: Guided Relation Diffusion Generation for Graph Augmentation in Graph Fraud Detection

8 citations · 9 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2026

PowerBench: A Benchmark for Agentic Retrieval and Reasoning in Power Systems

Xijing Wang, Yinsheng Yao, Jinru Ding +5

Large language model (LLM) agents offer new opportunities for automated analysis in industry. However, rigorous evaluation of such agents-for example, within power system scenarios…

cs.CL2026

FinReasoning: A Hierarchical Benchmark for Reliable Financial Research Reporting

Yiyun Zhu, Yidong Jiang, Ziwen Xu +4

Large language models (LLMs) are increasingly deployed in financial research workflows, where their role is evolving from single-model assistance for human analysts toward autonomo…

cs.LG2025★ 8 cited

Grad: Guided Relation Diffusion Generation for Graph Augmentation in Graph Fraud Detection

Jie Yang, Rui Zhang, Ziyang Cheng +3

Nowadays, Graph Fraud Detection (GFD) in financial scenarios has become an urgent research topic to protect online payment security. However, as organized crime groups are becoming…

cs.CE2025

Beyond Knowledge to Agency: Evaluating Expertise, Autonomy, and Integrity in Finance with CNFinBench

Jinru Ding, Chao Ding, Yidong Jiang +9

As large language models (LLMs) become high-privilege agents in risk-sensitive settings, they introduce systemic threats beyond hallucination, where minor compliance errors can cau…

cs.LG2025★ 1 cited

Generative Dynamic Graph Representation Learning for Conspiracy Spoofing Detection

Sheng Xiang, Yidong Jiang, Yunting Chen +3

Spoofing detection in financial trading is crucial, especially for identifying complex behaviors such as conspiracy spoofing. Traditional machine-learning approaches primarily focu…