5 papers
Spiking Graph Predictive Coding for Reliable OOD Generalization
Jing Ren, Jiapeng Du, Bowen Li +6
Graphs provide a powerful basis for modeling Web-based relational data, with expressive GNNs to support the effective learning in dynamic web environments. However, real-world depl…
LiteFat: Lightweight Spatio-Temporal Graph Learning for Real-Time Driver Fatigue Detection
Jing Ren, Suyu Ma, Hong Jia +5
Detecting driver fatigue is critical for road safety, as drowsy driving remains a leading cause of traffic accidents. Many existing solutions rely on computationally demanding deep…
Causal Prompting for Implicit Sentiment Analysis with Large Language Models
Jing Ren, Wenhao Zhou, Bowen Li +7
Implicit Sentiment Analysis (ISA) aims to infer sentiment that is implied rather than explicitly stated, requiring models to perform deeper reasoning over subtle contextual cues. W…
Foundation Models for Anomaly Detection: Vision and Challenges
Jing Ren, Tao Tang, Hong Jia +6
As data continues to grow in volume and complexity across domains such as finance, manufacturing, and healthcare, effective anomaly detection is essential for identifying irregular…
Context-Aware Unit Testing for Quantum Subroutines
Mykhailo Klymenko, Thong Hoang, Samuel A. Wilkinson +6
Software testing is a critical component of the classical software development lifecycle, and this principle is expected to hold true for quantum software as it evolves toward larg…