3 papers
cs.LG2026
Local Truncation Error-Guided Neural ODEs for Large Scale Traffic Forecasting
Xiao Zhang, Yafei Li, Ruixiang Wang +3
Spatiotemporal forecasting in physical systems, such as large-scale traffic networks, requires modeling a dual dynamic: continuous macroscopic rhythms and discrete, unpredictable m…
cs.CR2025
Semantic Encryption: Secure and Effective Interaction with Cloud-based Large Language Models via Semantic Transformation
Dong Chen, Tong Yang, Feipeng Zhai +5
The increasing adoption of Cloud-based Large Language Models (CLLMs) has raised significant concerns regarding data privacy during user interactions. While existing approaches prim…
cs.CV2025
KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models
Dong Chen, Zhengqing Hu, Peiguang Fan +5
Vision anomaly detection, particularly in unsupervised settings, often struggles to distinguish between normal samples and anomalies due to the wide variability in anomalies. Recen…