2 papers
cs.LG2024
Scalable and reliable deep transfer learning for intelligent fault detection via multi-scale neural processes embedded with knowledge
Zhongzhi Li, Jingqi Tu, Jiacheng Zhu +2
Deep transfer learning (DTL) is a fundamental method in the field of Intelligent Fault Detection (IFD). It aims to mitigate the degradation of method performance that arises from t…
cs.RO2023
Interactive Car-Following: Matters but NOT Always
Chengyuan Zhang, Rui Chen, Jiacheng Zhu +3
Following a leading vehicle is a daily but challenging task because it requires adapting to various traffic conditions and the leading vehicle's behaviors. However, the question `D…