3 papers
cs.LG2026
Learning universal approximations for partial differential equations with Physics-Informed Broad Learning System
Zhiwen Yu, Derong Yang, Liujian Zhang +5
Partial differential equations (PDEs) play a central role in modeling complex physical, biological, and engineering systems. While traditional numerical solvers are robust, they of…
cs.LG2026
Labels Matter More Than Models: Rethinking the Unsupervised Paradigm in Time Series Anomaly Detection
Zhijie Zhong, Zhiwen Yu, Kaixiang Yang +3
Time series anomaly detection (TSAD) is a critical data mining task often constrained by label scarcity. Consequently, current research predominantly focuses on Unsupervised Time-s…
cs.LG2024
A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System
Pengyu Li, Zhijie Zhong, Tong Zhang +3
Time series anomaly detection (TSAD) has been a research hotspot in both academia and industry in recent years. Deep learning methods have become the mainstream research direction…