赵晓丽｜上海工程技术大学｜学者主页

2026

融合负载模式识别与深度学习的电力负载预测方法

辛保江，赵晓丽

《微型电脑应用》

2026

A Physics-Informed Constrained Gated Low-Rank Adaptation Framework for Remaining Useful Life Prediction of Aeroengines

Ji-Chao Zhuang, Si-Rui Huang, Xiaoli Zhao, Linshan Ding, Zhong-Wei Liang, Ke Feng

Aerospace Science and Technology

DOI

2026

ScaleFusionNet: Adaptive dynamic fusion for blind AIGC image quality assessment

Mengyao Wang, Xiwu Shang, Wei Zhang, Xiaoli Zhao, Guoping Li, Guozhong Wang

Digital Signal Processing

DOI

2026

From closed sets to dynamic worlds: A comprehensive survey of open world object detection

Yunong Gan, Xiaoli Zhao, Xiaogang Lin, H Pan, Kangwei Wang, Zilong Yin

Neurocomputing

DOI

2025

基于关联规则数据挖掘的台区线损异常检测方法

辛保江，赵晓丽

《信息技术》

2025

基于改进迁移学习的电力过电压数据自动辨识研究

辛保江，赵晓丽

《信息技术》

DOI

2025

A novel attention-free FCformer network with dynamic subdomain adaptation for open-set fault diagnosis of motor bearing

Chao-Yang Weng, Bao-Chun Lu, Longmiao Chen, Xiaoli Zhao, Wenbo Huang

Computers in industry (Print)

DOI

2025

A novel progressive domain separation network with multi-metric ensemble quantification for open set fault diagnosis of motor bearings

Chao-Yang Weng, Bao-Chun Lu, Longmiao Chen, Xiaoli Zhao, Wenbo Huang

Advanced Engineering Informatics

DOI

2025

Collaborative human-computer fault diagnosis via calibrated confidence estimation

Hai-Dong Shao, Yiming Xiao, Jiewu Leng, Xiaoli Zhao, Bin Liu

Advanced Engineering Informatics

DOI

2025

Personalized Federated Meta-Learning Based on Gradient Clustering and Aggregation

Jiale Chen, Xiaoli Zhao, Hao Pan

Communications in computer and information science

DOI

2025

Dynamic weight federated client selection using adaptive genetic algorithm

Yangzhi Lin, Xiaoli Zhao, Zilong Yin

Cluster Computing

DOI

2025

FedVLP: Visual-aware latent prompt generation for Multimodal Federated Learning

Hao Pan, Xiaoli Zhao, Yuchen Jiang, Lipeng He, Bingquan Wang, Yincan Shu

Computer Vision and Image Understanding

DOI

2024

Unsupervised Fault Detection With Deep One-Class Classification and Manifold Distribution Alignment

Yifei Ding, M. Jia, Yudong Cao, Xiao'an Yan, Xiaoli Zhao, Chi-Guhn Lee

IEEE Transactions on Industrial Informatics

DOI

2024

A Novel Unsupervised Domain Adaptation Transformation Reconstructed Gru Framework Considering Prediction Uncertainty for Machinery Prognostics Under Variable Lubrication Conditions

Xintian Shen, Zi Wang, Peng Ding, Xiaoli Zhao, Minping Jia

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering

DOI

2024

Machinery Probabilistic Few-Shot Prognostics Considering Prediction Uncertainty

Peng Ding, M. Jia, Yifei Ding, Yudong Cao, Ji-Chao Zhuang, Xiaoli Zhao

IEEE/ASME transactions on mechatronics

DOI

2024

A Graph-Embedded Subdomain Adaptation Approach for Remaining Useful Life Prediction of Industrial IoT Systems

Ji-Chao Zhuang, Yue-Jian Chen, Xiaoli Zhao, Minping Jia, Ke Feng

IEEE Internet of Things Journal

DOI

2024

Deep temporal-spectral domain adaptation for bearing fault diagnosis

Yifei Ding, Yudong Cao, Minping Jia, Peng Ding, Xiaoli Zhao, Chi-Guhn Lee

Knowledge-Based Systems

DOI

2024

A novel graph structure data-driven crack damage identification for compressor blade based on vibro-acoustic signal

Peng Ding, Di Song, Junxian Shen, Xiaoli Zhao, Minping Jia

Structural Health Monitoring

DOI

2024

Graph structure few-shot prognostics for machinery remaining useful life prediction under variable operating conditions

Peng Ding, J. Xia, Xiaoli Zhao, Minping Jia

Advanced Engineering Informatics

DOI

2024

Online Knowledge Distillation for Machine Health Prognosis Considering Edge Deployment

Yudong Cao, Qing Ni, Minping Jia, Xiaoli Zhao, Xiaoan Yan

IEEE Internet of Things Journal

DOI

2023

Remaining useful life prediction of bearings using multi-source adversarial online regression under online unknown conditions

Jichao Zhuang, Yudong Cao, Minping Jia, Xiaoli Zhao, Qingjin Peng

Expert Systems With Applications，Vol. 227

DOI

2023

Multiscale Deep Graph Convolutional Networks for Intelligent Fault Diagnosis of Rotor-Bearing System Under Fluctuating Working Conditions

Xiaoli Zhao, Jianyong Yao, Wen-Xiang Deng, Peng Ding, Ji-Chao Zhuang, Zheng Liu

IEEE Transactions on Industrial Informatics

DOI

2023

Picture-in-Picture Strategy-Based Complex Graph Neural Network for Remaining Useful Life Prediction of Rotating Machinery

Yudong Cao, Ji-Chao Zhuang, M. Jia, Xiaoli Zhao, Xiao'an Yan, Zheng Liu

IEEE Transactions on Instrumentation and Measurement

DOI

2023

Diversity maximization-based transfer diagnosis approach of rotating machinery

Dao-Ming She, Jin Chen, Xiao'an Yan, Xiaoli Zhao, Michael G. Pecht

Structural Health Monitoring

DOI

2023

Incremental Learning for Remaining Useful Life Prediction via Temporal Cascade Broad Learning System With Newly Acquired Data

Yudong Cao, M. Jia, Peng Ding, Xiaoli Zhao, Yifei Ding

IEEE Transactions on Industrial Informatics

DOI

2023

Intelligent Health Assessment of Aviation Bearing Based on Deep Transfer Graph Convolutional Networks under Large Speed Fluctuations

Xiaoli Zhao, Xing-Jun Zhu, Jianyong Yao, Wen-Xiang Deng, Yudong Cao, Peng Ding, M. Jia, Hai-Dong Shao

Italian National Conference on Sensors

DOI

2023

Complex domain extension network with multi-channels information fusion for remaining useful life prediction of rotating machinery

Yudong Cao, M. Jia, Yifei Ding, Xiaoli Zhao, Peng Ding, Liudong Gu

Mechanical systems and signal processing

DOI

2023

A Novel Multisensor Fusion Transformer and Its Application Into Rotating Machinery Fault Diagnosis

Chao-Yang Weng, Bao-Chun Lu, Qian Gu, Xiaoli Zhao

IEEE Transactions on Instrumentation and Measurement

DOI

2023

Semi-supervised machinery health assessment framework via temporal broad learning system embedding manifold regularization with unlabeled data

Yudong Cao, M. Jia, Xiaoli Zhao, Xiao'an Yan, Zheng Liu

Expert systems with applications

DOI

2023

Joint optimization of degradation assessment and remaining useful life prediction for bearings with temporal convolutional auto-encoder.

Yifei Ding, Minping Jia, Xiaoli Zhao, Xiao'an Yan, Chi-Guhn Lee

ISA transactions

DOI

2022

基于深度学习的中文字体风格转换研究综述

程若然，赵晓丽，周浩军，叶翰辰

《浙江大学学报(工学版)》

2022

基于图像处理的透明液体厚度均匀性测量

赵晓丽

《现代盐化工》

2022

Multiobjective Evolution Enhanced Collaborative Health Monitoring and Prognostics: A Case Study of Bearing Life Test With Three-Axis Acceleration Signals

Peng Ding, M. Jia, Ji-Chao Zhuang, Yifei Ding, Yudong Cao, Xiaoli Zhao, Chi-Guhn Lee

IEEE Transactions on Instrumentation and Measurement

DOI

2022

Research on sparsity measures for rotating machinery health monitoring

Yudong Cao, Minping Jia, Ji-Chao Zhuang, Xiaoli Zhao

Journal of Mechanical Science and Technology

DOI

2022

Intelligent machinery health prognostics under variable operation conditions with limited and variable-length data

Peng Ding, M. Jia, Yifei Ding, Yudong Cao, Xiaoli Zhao

Advanced Engineering Informatics

DOI

2022

Intelligent Fault Diagnosis of Gearbox Under Variable Working Conditions With Adaptive Intraclass and Interclass Convolutional Neural Network

Xiaoli Zhao, Jianyong Yao, Wen-Xiang Deng, Peng Ding, Yifei Ding, M. Jia, Zheng Liu

IEEE Transactions on Neural Networks and Learning Systems

DOI

2022

Remaining useful life estimation based on a nonlinear Wiener process model with CSN random effects

De-Zhong Wu, M. Jia, Yudong Cao, Peng Ding, Xiaoli Zhao

Measurement

DOI

2022

Health Assessment of Rotating Equipment With Unseen Conditions Using Adversarial Domain Generalization Toward Self-Supervised Regularization Learning

Ji-Chao Zhuang, M. Jia, Yifei Ding, Xiaoli Zhao

IEEE/ASME transactions on mechatronics

DOI

2022

Domain generalization via adversarial out-domain augmentation for remaining useful life prediction of bearings under unseen conditions

Yifei Ding, M. Jia, Yudong Cao, Peng Ding, Xiaoli Zhao, Chi-Guhn Lee

Knowledge-Based Systems

DOI

2022

Transfer Learning for Remaining Useful Life Prediction Across Operating Conditions Based on Multisource Domain Adaptation

Yifei Ding, Peng Ding, Xiaoli Zhao, Yudong Cao, M. Jia

IEEE/ASME transactions on mechatronics

DOI

2022

A 2 -LSTM for predictive maintenance of industrial equipment based on machine learning

Yuchen Jiang, Pengwen Dai, Pengcheng Fang, Ray Y. Zhong, Xiaoli Zhao, Xiaochun Cao

Computers & Industrial Engineering

DOI

2021

Imbalanced Fault Diagnosis of Bearing-Rotor System via Normalized Conditional Variational Auto-Encoder with Adaptive Focal Loss

Xiaoli Zhao, Jianyong Yao, Wen-Xiang Deng, M. Jia

2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing)

DOI

2021

Meta deep learning based rotating machinery health prognostics toward few-shot prognostics

Peng Ding, M. Jia, Xiaoli Zhao

Applied Soft Computing

DOI

2021

Semisupervised Graph Convolution Deep Belief Network for Fault Diagnosis of Electormechanical System With Limited Labeled Data

Xiaoli Zhao, M. Jia, Zheng Liu

IEEE Transactions on Industrial Informatics

DOI

2021

Semisupervised Deep Sparse Auto-Encoder With Local and Nonlocal Information for Intelligent Fault Diagnosis of Rotating Machinery

Xiaoli Zhao, M. Jia, Zheng Liu

IEEE Transactions on Instrumentation and Measurement

DOI

2021

Multiple-Order Graphical Deep Extreme Learning Machine for Unsupervised Fault Diagnosis of Rolling Bearing

Xiaoli Zhao, M. Jia, Junchi Bin, Teng Wang, Zheng Liu

IEEE Transactions on Instrumentation and Measurement

DOI

2021

Statistical Alignment-Based Metagated Recurrent Unit for Cross-Domain Machinery Degradation Trend Prognostics Using Limited Data

Peng Ding, M. Jia, Yifei Ding, Xiaoli Zhao

IEEE Transactions on Instrumentation and Measurement

DOI

2020

基于深度学习的点云语义分割综述

张佳颖，赵晓丽，陈正

《激光与光电子学进展》

2020

Unsupervised Fault Diagnosis of Machine via Multiple-Order Graphical Deep Extreme Learning Machine

Xiaoli Zhao, Zheng Liu, Teng Wang, Junchi Bin, M. Jia

2020 Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling (APARM)

DOI

2020

Intelligent Fault Diagnosis of Multichannel Motor–Rotor System Based on Multimanifold Deep Extreme Learning Machine

Xiaoli Zhao, M. Jia, Peng Ding, Chen Yang, Dao-Ming She, Zheng Liu

IEEE/ASME transactions on mechatronics

DOI

2020

Fault Diagnosis Framework of Rolling Bearing Using Adaptive Sparse Contrative Auto-Encoder With Optimized Unsupervised Extreme Learning Machine

Xiaoli Zhao, M. Jia, Zheng Liu

IEEE Access

DOI

2020

A novel unsupervised deep learning network for intelligent fault diagnosis of rotating machinery

Xiaoli Zhao, M. Jia

Structural Health Monitoring

DOI

2020

Deep Laplacian Auto-encoder and its application into imbalanced fault diagnosis of rotating machinery

Xiaoli Zhao, M. Jia, Mingyao Lin

DOI

2020

A New Intelligent Weak Fault Recognition Framework for Rotating Machinery

Xiaoli Zhao, M. Jia, Peng Ding, Cheng Yang, Dao-Ming She, Lin Zhu, Zheng Liu

DOI

2019

汽车变速箱在线故障诊断技术研究

赵晓丽

《内燃机与配件》

DOI

2019

A new Local-Global Deep Neural Network and its application in rotating machinery fault diagnosis

Xiaoli Zhao, M. Jia

Neurocomputing

DOI

2018

面向图像分割的智能算法研究

赵晓丽

《上海大学》

2018

Fault diagnosis of rolling bearing based on feature reduction with global-local margin Fisher analysis

Xiaoli Zhao, M. Jia

Neurocomputing

DOI

2018

A novel deep fuzzy clustering neural network model and its application in rolling bearing fault recognition

Xiaoli Zhao, M. Jia

Measurement science and technology

DOI

2017

基于深度学习的人体图像分割算法

王鹏，方志军，赵晓丽，黄勃，Hwang Jenq-Neng

《武汉大学学报(理学版)》

2012

基于高斯小波的多尺度积图像边缘检测算法

赵晓丽，孔勇

《数据采集与处理》

2008

基于动态序列图像的汽车碰撞分析系统的实现

刘翔，赵晓丽，张辉

《计算机应用与软件》

精选作品

期刊论文

融合负载模式识别与深度学习的电力负载预测方法

A Physics-Informed Constrained Gated Low-Rank Adaptation Framework for Remaining Useful Life Prediction of Aeroengines

ScaleFusionNet: Adaptive dynamic fusion for blind AIGC image quality assessment

From closed sets to dynamic worlds: A comprehensive survey of open world object detection

基于关联规则数据挖掘的台区线损异常检测方法

基于改进迁移学习的电力过电压数据自动辨识研究

A novel attention-free FCformer network with dynamic subdomain adaptation for open-set fault diagnosis of motor bearing

A novel progressive domain separation network with multi-metric ensemble quantification for open set fault diagnosis of motor bearings

Collaborative human-computer fault diagnosis via calibrated confidence estimation

Personalized Federated Meta-Learning Based on Gradient Clustering and Aggregation

Dynamic weight federated client selection using adaptive genetic algorithm

FedVLP: Visual-aware latent prompt generation for Multimodal Federated Learning

Unsupervised Fault Detection With Deep One-Class Classification and Manifold Distribution Alignment

A Novel Unsupervised Domain Adaptation Transformation Reconstructed Gru Framework Considering Prediction Uncertainty for Machinery Prognostics Under Variable Lubrication Conditions

Machinery Probabilistic Few-Shot Prognostics Considering Prediction Uncertainty

A Graph-Embedded Subdomain Adaptation Approach for Remaining Useful Life Prediction of Industrial IoT Systems

Deep temporal-spectral domain adaptation for bearing fault diagnosis

A novel graph structure data-driven crack damage identification for compressor blade based on vibro-acoustic signal

Graph structure few-shot prognostics for machinery remaining useful life prediction under variable operating conditions

Online Knowledge Distillation for Machine Health Prognosis Considering Edge Deployment

Remaining useful life prediction of bearings using multi-source adversarial online regression under online unknown conditions

Multiscale Deep Graph Convolutional Networks for Intelligent Fault Diagnosis of Rotor-Bearing System Under Fluctuating Working Conditions

Picture-in-Picture Strategy-Based Complex Graph Neural Network for Remaining Useful Life Prediction of Rotating Machinery

Diversity maximization-based transfer diagnosis approach of rotating machinery

Incremental Learning for Remaining Useful Life Prediction via Temporal Cascade Broad Learning System With Newly Acquired Data

Intelligent Health Assessment of Aviation Bearing Based on Deep Transfer Graph Convolutional Networks under Large Speed Fluctuations

Complex domain extension network with multi-channels information fusion for remaining useful life prediction of rotating machinery

A Novel Multisensor Fusion Transformer and Its Application Into Rotating Machinery Fault Diagnosis

Semi-supervised machinery health assessment framework via temporal broad learning system embedding manifold regularization with unlabeled data

Joint optimization of degradation assessment and remaining useful life prediction for bearings with temporal convolutional auto-encoder.

基于深度学习的中文字体风格转换研究综述

基于图像处理的透明液体厚度均匀性测量

Multiobjective Evolution Enhanced Collaborative Health Monitoring and Prognostics: A Case Study of Bearing Life Test With Three-Axis Acceleration Signals

Research on sparsity measures for rotating machinery health monitoring

Intelligent machinery health prognostics under variable operation conditions with limited and variable-length data

Intelligent Fault Diagnosis of Gearbox Under Variable Working Conditions With Adaptive Intraclass and Interclass Convolutional Neural Network

Remaining useful life estimation based on a nonlinear Wiener process model with CSN random effects

Health Assessment of Rotating Equipment With Unseen Conditions Using Adversarial Domain Generalization Toward Self-Supervised Regularization Learning

Domain generalization via adversarial out-domain augmentation for remaining useful life prediction of bearings under unseen conditions

Transfer Learning for Remaining Useful Life Prediction Across Operating Conditions Based on Multisource Domain Adaptation

A 2 -LSTM for predictive maintenance of industrial equipment based on machine learning

Imbalanced Fault Diagnosis of Bearing-Rotor System via Normalized Conditional Variational Auto-Encoder with Adaptive Focal Loss

Meta deep learning based rotating machinery health prognostics toward few-shot prognostics

Semisupervised Graph Convolution Deep Belief Network for Fault Diagnosis of Electormechanical System With Limited Labeled Data

Semisupervised Deep Sparse Auto-Encoder With Local and Nonlocal Information for Intelligent Fault Diagnosis of Rotating Machinery

Multiple-Order Graphical Deep Extreme Learning Machine for Unsupervised Fault Diagnosis of Rolling Bearing

Statistical Alignment-Based Metagated Recurrent Unit for Cross-Domain Machinery Degradation Trend Prognostics Using Limited Data

基于深度学习的点云语义分割综述

Unsupervised Fault Diagnosis of Machine via Multiple-Order Graphical Deep Extreme Learning Machine

Intelligent Fault Diagnosis of Multichannel Motor–Rotor System Based on Multimanifold Deep Extreme Learning Machine

Fault Diagnosis Framework of Rolling Bearing Using Adaptive Sparse Contrative Auto-Encoder With Optimized Unsupervised Extreme Learning Machine

A novel unsupervised deep learning network for intelligent fault diagnosis of rotating machinery

Deep Laplacian Auto-encoder and its application into imbalanced fault diagnosis of rotating machinery

A New Intelligent Weak Fault Recognition Framework for Rotating Machinery

汽车变速箱在线故障诊断技术研究

A new Local-Global Deep Neural Network and its application in rotating machinery fault diagnosis

面向图像分割的智能算法研究

Fault diagnosis of rolling bearing based on feature reduction with global-local margin Fisher analysis

A novel deep fuzzy clustering neural network model and its application in rolling bearing fault recognition

基于深度学习的人体图像分割算法

基于高斯小波的多尺度积图像边缘检测算法

基于动态序列图像的汽车碰撞分析系统的实现

预印本

Cross-Domain Federated Knowledge Transfer Utilizing Cross-Platform Generative Adversarial Networks

研究方向