activity
20202025
most citedA Semi-supervised Graph Attentive Network for Financial Fraud Detection

364 citations · 380 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2025

Every Activation Boosted: Scaling General Reasoner to 1 Trillion Open Language Foundation

Ling Team, Ang Li, Ben Liu +138

We introduce Ling 2.0, a series reasoning-oriented language foundation built upon the principle that every activation boosts reasoning capability. Designed to scale from tens of bi…

cs.IT2024★ 12 cited

Lossless data compression by large models

Ziguang Li, Chao Huang, Xuliang Wang +7

Modern data compression methods are slowly reaching their limits after 80 years of research, millions of papers, and wide range of applications. Yet, the extravagant 6G communicati…

cs.LG2020

Intelligent Credit Limit Management in Consumer Loans Based on Causal Inference

Hang Miao, Kui Zhao, Zhun Wang +4

Nowadays consumer loan plays an important role in promoting the economic growth, and credit cards are the most popular consumer loan. One of the most essential parts in credit card…

cs.LG2020★ 1 cited

Large-scale Uncertainty Estimation and Its Application in Revenue Forecast of SMEs

Zebang Zhang, Kui Zhao, Kai Huang +3

The economic and banking importance of the small and medium enterprise (SME) sector is well recognized in contemporary society. Business credit loans are very important for the ope…

cs.LG2020★ 3 cited

NetDP: An Industrial-Scale Distributed Network Representation Framework for Default Prediction in Ant Credit Pay

Jianbin Lin, Zhiqiang Zhang, Jun Zhou +5

Ant Credit Pay is a consumer credit service in Ant Financial Service Group. Similar to credit card, loan default is one of the major risks of this credit product. Hence, effective…

cs.SI2020★ 364 cited

A Semi-supervised Graph Attentive Network for Financial Fraud Detection

Daixin Wang, Jianbin Lin, Peng Cui +7

With the rapid growth of financial services, fraud detection has been a very important problem to guarantee a healthy environment for both users and providers. Conventional solutio…