1 citations · 1 across the 4 of their papers we have counts for
5 papers
HAD: Heterogeneity-Aware Distillation for Lifelong Heterogeneous Learning
Xuerui Zhang, Xuehao Wang, Zhan Zhuang +5
Lifelong learning aims to preserve knowledge acquired from previous tasks while incorporating knowledge from a sequence of new tasks. However, most prior work explores only streams…
Causality-driven Sequence Segmentation for Enhancing Multiphase Industrial Process Data Analysis and Soft Sensing
Yimeng He, Le Yao, Xinmin Zhang +2
The dynamic characteristics of multiphase industrial processes present significant challenges in the field of industrial big data modeling. Traditional soft sensing models frequent…
Rethinking the Diffusion Models for Numerical Tabular Data Imputation from the Perspective of Wasserstein Gradient Flow
Zhichao Chen, Haoxuan Li, Fangyikang Wang +5
Diffusion models (DMs) have gained attention in Missing Data Imputation (MDI), but there remain two long-neglected issues to be addressed: (1). Inaccurate Imputation, which arises…
Root-KGD: A Novel Framework for Root Cause Diagnosis Based on Knowledge Graph and Industrial Data
Jiyu Chen, Jinchuan Qian, Xinmin Zhang +1
With the development of intelligent manufacturing and the increasing complexity of industrial production, root cause diagnosis has gradually become an important research direction…
ABIGX: A Unified Framework for eXplainable Fault Detection and Classification
Yue Zhuo, Jinchuan Qian, Zhihuan Song +1
For explainable fault detection and classification (FDC), this paper proposes a unified framework, ABIGX (Adversarial fault reconstruction-Based Integrated Gradient eXplanation). A…