百晓学者学者目录

高艺平

助理研究员,华中科技大学

精选作品

期刊论文

2026

Unseen class feature regeneration adversarial learning method for time-varying cross-domain fault diagnosis

Li Wang, Yiping Gao, Liang Gao, Xinyu Li

Expert Systems With Applications,Vol. 298

2026

Elastic net-based cost-sensitive broad learning system with F-measure maximization and density harmonization

Yan-Ting Li, Yuan Zhang, Yiping Gao, Yu-Sha Wang, Jun-Wei Jin, Xiaoyun Sun, C. L. Philip Chen

Pattern Recognition

2026

An Evolutionary One-Shot Neural Architecture Search Method Based on Single-Path Cells Toward Physics-Informed Fault Diagnosis

Yiping Gao, Liang Gao, Xinyu Li, Demin Yang

Journal of Computing and Information Science in Engineering

2025

A frequency mask and decoupling max-logit based XAI method to explain DNN for fault diagnosis

Junfei Du, Yiping Gao, Liang Gao, Xiuyu Li

Journal Of Manufacturing Systems,Vol. 820

2025

DZAD: Diffusion-based Zero-shot Anomaly Detection

Tian-ai Zhang, Liang Gao, Xinyu Li, Yiping Gao

Proceedings of the AAAI Conference on Artificial Intelligence

2025

Physics-Guided Spatio-Temporal Graph Multi-Task Learning for Aircraft Engine Prognostics and Health Management

Le Tian, Yiping Gao, Zerui Xi, Liang Gao, Xinyu Li

Global Reliability and Prognostics and Health Management Conference (PHM)

2024

A Multi-level spatial feature fusion-based transformer for intelligent defect recognition with small samples toward smart manufacturing system

Yiping Gao, Xinyu Li, Liang Gao

International Journal Of Computer Integrated Manufacturing,Vol. 370, No. 12

2024

基于深度智能视觉的表面缺陷检测研究进展

高艺平,王浩,李新宇,高亮

《工业工程》

2024

Adaptive weights-based relaxed broad learning system for imbalanced classification

Yan-Ting Li, Yiping Gao, Jun-Wei Jin, Jiao-Fen Nan, Yinghui Meng, Meng-Jie Wang, C. L. Philip Chen

Digit. Signal Process.

2024

Adaptive weighted broad learning system for imbalanced classification

Yan-Ting Li, Yiping Gao, Jun-Wei Jin, C. L. Philip Chen

IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference

2024

A lightweight transformer with linear self‐attention for defect recognition

Yusen Zhai, Xinyu Li, Liang Gao, Yiping Gao

Electronics Letters

2024

Open-Set Fault Diagnosis based on Prototype Learning with Dual Category-Classifier

Sixiong Ke, Liang Gao, Xinyu Li, Yiping Gao

2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)

2024

Self-Supervised-Enabled Open-Set Cross-Domain Fault Diagnosis Method for Rotating Machinery

Li Wang, Yiping Gao, Xinyu Li, Liang Gao

IEEE Transactions on Industrial Informatics

2024

Deep Feature Contrasting for Industrial Image Anomaly Segmentation

Qian Wan, Yunkang Cao, Liang Gao, Xinyu Li, Yiping Gao

IEEE Transactions on Instrumentation and Measurement

2024

Desirable Properties Based Neural Network Explanations Evaluation Method for Fault Diagnosis

Junfei Du, Xinyu Li, Liang Gao, Yiping Gao

Lecture notes in computer science

2023

A Two-Stage Focal Transformer for Human–Robot Collaboration-Based Surface Defect Inspection

Yiping Gao, Liang S. Gao, Xinyu Li

Journal of Manufacturing Science and Engineering

2023

An Incremental Knowledge Learning Framework for Continuous Defect Detection

Chen Sun, Liang Gao, Xinyu Li, Pai Zheng, Yiping Gao

IEEE Transactions on Instrumentation and Measurement

2022

[Review] A Review on Recent Advances in Vision-based Defect Recognition towards Industrial Intelligence

Yiping Gao, Xinyu Li, Xi Vincent Wang, Lihui Wang, Liang Gao

Journal Of Manufacturing Systems,Vol. 620

2022

Integrated Gradient-Based Continuous Wavelet Transform for Bearing Fault Diagnosis

Junfei Du, Xinyu Li, Yiping Gao, Liang Gao

Sensors

2022

Semi-Supervised Defect Detection Method with Data-Expanding Strategy for PCB Quality Inspection

Yusen Wan, Liang Gao, Xinyu Li, Yiping Gao

Sensors

2022

Anchor-based Detection and Height Estimation Framework for Particle Defects on Cathodic Copper Plate Surface

Chen Sun, Qian Wan, Zhaofu Li, Liang Gao, Xinyu Li, Yiping Gao

2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)

2022

A Hierarchical Training-Convolutional Neural Network for Imbalanced Fault Diagnosis in Complex Equipment

Yiping Gao, Liang Gao, Xinyu Li, Siyu Cao

IEEE Transactions on Industrial Informatics

2022

A Graph Guided Convolutional Neural Network for Surface Defect Recognition

Yucheng Wang, Liang Gao, Yiping Gao, Xinyu Li

IEEE Transactions on Automation Science and Engineering

2021

基于卷积收缩自编码器的半监督缺陷识别方法

高艺平,李新宇,高亮

《华中科技大学学报(自然科学版)》

2021

基于特征聚类卷积神经网络的表面缺陷识别方法

高艺平

《华中科技大学》

2021

A New Graph-Based Method for Class Imbalance in Surface Defect Recognition

Yucheng Wang, Liang Gao, Xinyu Li, Yiping Gao, Xiaotong Xie

IEEE Transactions on Instrumentation and Measurement

2020

A new graph-based semi-supervised method for surface defect classification

Yucheng Wang, Liang Gao, Yiping Gao, Xinyu Li

Robotics and Computer-Integrated Manufacturing

2020

Knowledge Graph-guided Convolutional Neural Network for Surface Defect Recognition

Yucheng Wang, Liang Gao, Yiping Gao, Xinyu Li, Lili Gao

2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)

2020

A Generative Adversarial Network Based Deep Learning Method for Low-Quality Defect Image Reconstruction and Recognition

Yiping Gao, Liang Gao, Xinyu Li

IEEE Transactions on Industrial Informatics

2019

A Hierarchical Feature Fusion-based Method for Defect Recognition with a Small Sample

Yiping Gao, Liang Gao, Xinyu Li

2019

A Multilevel Information Fusion-Based Deep Learning Method for Vision-Based Defect Recognition

Yiping Gao, Liang Gao, Xinyu Li, Xi Vincent Wang

IEEE Transactions on Instrumentation and Measurement

2019

Fault Diagnosis Using Unsupervised Transfer Learning Based on Adversarial Network

Zhao Zhang, Xinyu Li, Long Wen, Liang Gao, Yiping Gao

2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)

预印本

2022

A New Knowledge Distillation Network for Incremental Few-Shot Surface Defect Detection

Sun, Chen, Liang Gao, Xinyu Li, Yiping Gao

arXiv (Cornell University)

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