Junwei Chen

Power Information System Alarm Noise Reduction Technology Based on Graph Theory and Information Entropy

2023

In order to deal with the redundancy, irrelevance and repetition of massive alarm information in power information system, this paper proposes an alarm noise reduction technology based on graph theory clustering and information entropy. Based …

Harnessing Neural Unit Dynamics for Effective and Scalable Class-Incremental Learning

2024 · arXiv (Cornell University)

Class-incremental learning (CIL) aims to train a model to learn new classes from non-stationary data streams without forgetting old ones. In this paper, we propose a new kind of connectionist model by tailoring neural unit …