1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Learning to better see the unseen: Broad-Deep Mixed Anti-Forgetting Framework for Incremental Zero-Shot Fault Diagnosis
Jiancheng Zhao, Jiaqi Yue, Chunhui Zhao
Zero-shot fault diagnosis (ZSFD) is capable of identifying unseen faults via predicting fault attributes labeled by human experts. We first recognize the demand of ZSFD to deal wit…
cs.CV2024★ 1 cited
Enabling Generalized Zero-shot Learning Towards Unseen Domains by Intrinsic Learning from Redundant LLM Semantics
Jiaqi Yue, Chunhui Zhao, Jiancheng Zhao +1
Generalized zero-shot learning (GZSL) focuses on recognizing seen and unseen classes against domain shift problem where data of unseen classes may be misclassified as seen classes.…
cs.AI2023★ 1 cited
Addressing Domain Shift via Knowledge Space Sharing for Generalized Zero-Shot Industrial Fault Diagnosis
Jiancheng Zhao, Jiaqi Yue, Liangjun Feng +2
Fault diagnosis is a critical aspect of industrial safety, and supervised industrial fault diagnosis has been extensively researched. However, obtaining fault samples of all catego…