2 citations · 3 across the 7 of their papers we have counts for
5 papers · 1 filter
Probing then Editing: A Push-Pull Framework for Retain-Free Machine Unlearning in Industrial IoT
Jiao Chen, Weihua Li, Jianhua Tang
In dynamic Industrial Internet of Things (IIoT) environments, models need the ability to selectively forget outdated or erroneous knowledge. However, existing methods typically rel…
Forward-Only Continual Learning
Jiao Chen, Jiayi He, Fangfang Chen +2
Catastrophic forgetting remains a central challenge in continual learning (CL) with pre-trained models. While existing approaches typically freeze the backbone and fine-tune a smal…
Towards General Industrial Intelligence: A Survey of Continual Large Models in Industrial IoT
Jiao Chen, Jiayi He, Fangfang Chen +6
Industrial AI is transitioning from traditional deep learning models to large-scale transformer-based architectures, with the Industrial Internet of Things (IIoT) playing a pivotal…
Continual Learning with Diffusion-based Generative Replay for Industrial Streaming Data
Jiayi He, Jiao Chen, Qianmiao Liu +3
The Industrial Internet of Things (IIoT) integrates interconnected sensors and devices to support industrial applications, but its dynamic environments pose challenges related to d…
EdgeFD: An Edge-Friendly Drift-Aware Fault Diagnosis System for Industrial IoT
Chen Jiao, Mao Fengjian, Lv Zuohong +1
Recent transfer learning (TL) approaches in industrial intelligent fault diagnosis (FD) mostly follow the "pre-train and fine-tuning" paradigm to address data drift, which emerges…