4 papers
L2IR: Revealing Latent Intent in Graph Fraud Detection
Jinsheng Guo, Zhenhao Weng, Yibo Liu +2
Graph fraud detection has long depended on Graph Neural Networks (GNNs) to propagate and aggregate information across relational data. A critical obstacle in practice, however, is…
STaT: Resolving Shape Distortion in Non-Stationary Time Series via Tri-Modal Synergy
Hui Cheng, Jinsheng Guo, Zhenhao Weng +2
Recent research in time series forecasting frequently investigates the integration of textual and visual modalities with numerical models to better navigate non-stationary environm…
Learning-based Sketches for Frequency Estimation in Data Streams without Ground Truth
Xinyu Yuan, Yan Qiao, Meng Li +4
Estimating the frequency of items on the high-volume, fast data stream has been extensively studied in many areas, such as database and network measurement. Traditional sketches pr…
LMTE: Putting the "Reasoning" into WAN Traffic Engineering with Language Models
Xinyu Yuan, Yan Qiao, Zonghui Wang +2
The rapid expansion of modern wide-area networks (WANs) has made traffic engineering (TE) increasingly challenging, as traditional solvers struggle to keep pace. Although existing…