4 papers
Search for Long-lived Particles at Future Lepton Colliders Using Deep Learning Techniques
Yulei Zhang, Cen Mo, Xiang Chen +4
Long-lived particles (LLPs) provide an unambiguous signal for physics beyond the Standard Model (BSM). They have a distinct detector signature, with decay lengths corresponding to…
TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly Detection
Mengxuan Li, Ke Liu, Hongyang Chen +3
Time series anomaly detection aims to identify unusual patterns in data or deviations from systems' expected behavior. The reconstruction-based methods are the mainstream in this t…
Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights
Jiajia Xie, Sheng Zhang, Beihao Xia +5
Pedestrian trajectory prediction is a critical technology in the evolution of self-driving cars toward complete artificial intelligence. Over recent years, focusing on the trajecto…
Residual Channel Boosts Contrastive Learning for Radio Frequency Fingerprint Identification
Rui Pan, Hui Chen, Guanxiong Shen +1
In order to address the issue of limited data samples for the deployment of pre-trained models in unseen environments, this paper proposes a residual channel-based data augmentatio…