From the 2 of 112 papers with an AI index.
113 citations
- Fudan UniversityCN10 papers
- Shanghai Jiao Tong UniversityCN6 papers
- The University of TokyoJP6 papers
- Chinese University of Hong KongHK5 papers
- Georgia Institute of TechnologyUS5 papers
- Kavli Institute for the Physics and Mathematics of the UniverseJP5 papers
- Leibniz University HannoverDE5 papers
- National University of SingaporeSG5 papers
- Peking UniversityCN5 papers
- University of Hong KongHK5 papers
- Astronomical ObservatoryRS4 papers
- Hong Kong University of Science and TechnologyHK4 papers
12 papers · 1 filter
When Can Fraud Operations Authorize Automation? A Decision-Support Framework for Fresh Audit Evidence and Review Workload
Jie Deng
Fraud operations must allocate events among automatic approval, analyst review, and automatic blocking even though the labels needed to evaluate these actions are selective and del…
Empowering Credit Risk Detection in Weixin Pay with Billion-Scale Deep Graph Learning
Xin Liu, Xiyuan Chen, Chenglong Wu +3
Credit risk detection, particularly mitigating individual fraud, is crucial for maintaining the stability of digital financial ecosystems. Accurately identifying credit fraud among…
DiffoR: A Unified Continuous Generative Framework for Universal Ordinal Regression
Hongxu Ma, Lin Wang, Chenghou Jin +6
Ordinal Regression (OR) aims to predict target values with inherent order, underpinning critical applications across diverse domains, from recommender systems to computer vision. T…
Visual Analysis of Multi-outcome Causal Graphs
Mengjie Fan, Jinlu Yu, Daniel Weiskopf +3
We introduce a visual analysis method for multiple causal graphs with different outcome variables, namely, multi-outcome causal graphs. Multi-outcome causal graphs are important in…
Aligning Few-Step Diffusion Models with Dense Reward Difference Learning
Ziyi Zhang, Li Shen, Sen Zhang +6
Few-step diffusion models enable efficient high-resolution image synthesis but struggle to align with specific downstream objectives due to limitations of existing reinforcement le…
CONTINA: Confidence Interval for Traffic Demand Prediction with Coverage Guarantee
Chao Yang, Xiannan Huang, Shuhan Qiu +1
Accurate short-term traffic demand prediction is critical for the operation of traffic systems. Besides point estimation, the confidence interval of the prediction is also of great…