1 citations · 1 across the 3 of their papers we have counts for
4 papers
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…
FinLMM-R1: Enhancing Financial Reasoning in LMM through Scalable Data and Reward Design
Kai Lan, Jiayong Zhu, Jiangtong Li +3
Large Multimodal Models (LMMs) demonstrate significant cross-modal reasoning capabilities. However, financial applications face challenges due to the lack of high-quality multimoda…
CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model
Jiangtong Li, Yiyun Zhu, Dawei Cheng +2
Multimodal Large Language Models (MLLMs) have rapidly evolved with the growth of Large Language Models (LLMs) and are now applied in various fields. In finance, the integration of…
Graph Neural Networks for Financial Fraud Detection: A Review
Dawei Cheng, Yao Zou, Sheng Xiang +1
The landscape of financial transactions has grown increasingly complex due to the expansion of global economic integration and advancements in information technology. This complexi…