most citedLive or Lie: Action-Aware Capsule Multiple Instance Learning for Risk Assessment in Live Streaming Platforms

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Outsmarting the Chameleon: Counterfactual Decoupling for Tactical OOD Shifts in Live Streaming Risk Assessment

Yiran Qiao, Jing Chen, Jiaqi Xu +3

Live streaming has emerged as a primary medium for social interaction and digital commerce, yet it is increasingly plagued by sophisticated risks. A fundamental challenge in this d…

cs.AI2026

Deja Vu in Plots: Leveraging Cross-Session Evidence with Retrieval-Augmented LLMs for Live Streaming Risk Assessment

Yiran Qiao, Xiang Ao, Jing Chen +3

The rise of live streaming has transformed online interaction, enabling massive real-time engagement but also exposing platforms to complex risks such as scams and coordinated mali…

cs.LG20261 cited

Live or Lie: Action-Aware Capsule Multiple Instance Learning for Risk Assessment in Live Streaming Platforms

Yiran Qiao, Jing Chen, Xiang Ao +3

Live streaming has become a cornerstone of today's internet, enabling massive real-time social interactions. However, it faces severe risks arising from sparse, coordinated malicio…

cs.CY2024

Financial Risk Assessment via Long-term Payment Behavior Sequence Folding

Yiran Qiao, Yateng Tang, Xiang Ao +4

Online inclusive financial services encounter significant financial risks due to their expansive user base and low default costs. By real-world practice, we reveal that utilizing l…

cs.LG2024

LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework

Yiran Qiao, Xiang Ao, Yang Liu +3

Recent prevailing works on graph machine learning typically follow a similar methodology that involves designing advanced variants of graph neural networks (GNNs) to maintain the s…