Huan Wang
Orcid: 0000-0002-1403-5314Affiliations:
- Tsinghua University, Department of Industrial Engineerin, Beijing, China
- University of Electronic Science and Technology of China, School of Mechanical and Electrical Engineering, Chengdu, China (former)
According to our database1,
Huan Wang
authored at least 44 papers
between 2018 and 2024.
Collaborative distances:
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Bibliography
2024
A brain-inspired energy-efficient Wide Spiking Residual Attention Framework for intelligent fault diagnosis.
Reliab. Eng. Syst. Saf., March, 2024
ChatGPT-like large-scale foundation models for prognostics and health management: A survey and roadmaps.
Reliab. Eng. Syst. Saf., March, 2024
A Brain-Inspired Spiking Network Framework Based on Multi-Time-Step Self-Attention for Lithium-Ion Batteries Capacity Prediction.
IEEE Trans. Consumer Electron., February, 2024
A Few-Shot Machinery Fault Diagnosis Framework Based on Self-Supervised Signal Representation Learning.
IEEE Trans. Instrum. Meas., 2024
FFT-Trans: Enhancing Robustness in Mechanical Fault Diagnosis With Fourier Transform-Based Transformer Under Noisy Conditions.
IEEE Trans. Instrum. Meas., 2024
2023
Robust Mechanical Fault Diagnosis With Noisy Label Based on Multistage True Label Distribution Learning.
IEEE Trans. Reliab., September, 2023
Bioinspired membrane learnable spiking neural network for autonomous vehicle sensors fault diagnosis under open environments.
Reliab. Eng. Syst. Saf., May, 2023
Wavelet integrated attention network with multi-resolution frequency learning for mixed-type wafer defect recognition.
Eng. Appl. Artif. Intell., May, 2023
Attention-based deep meta-transfer learning for few-shot fine-grained fault diagnosis.
Knowl. Based Syst., March, 2023
Time-Efficient Neural Architecture Search for Autonomous Underwater Vehicle Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2023
Composite Wafer Defect Recognition Framework Based on Multiview Dynamic Feature Enhancement With Class-Specific Classifier.
IEEE Trans. Instrum. Meas., 2023
Convolutional Transformer-Based Multiview Information Perception Framework for Lithium-Ion Battery State-of-Health Estimation.
IEEE Trans. Instrum. Meas., 2023
2022
Feature-Level Attention-Guided Multitask CNN for Fault Diagnosis and Working Conditions Identification of Rolling Bearing.
IEEE Trans. Neural Networks Learn. Syst., 2022
Mixed-Type Wafer Defect Pattern Recognition Framework Based on Multifaceted Dynamic Convolution.
IEEE Trans. Instrum. Meas., 2022
Transformer for High-Speed Train Wheel Wear Prediction With Multiplex Local-Global Temporal Fusion.
IEEE Trans. Instrum. Meas., 2022
Iterative Error Self-Correction for Robust Fault Diagnosis of Mechanical Equipment With Noisy Label.
IEEE Trans. Instrum. Meas., 2022
Self-supervised signal representation learning for machinery fault diagnosis under limited annotation data.
Knowl. Based Syst., 2022
Proceedings of the IEEE International Symposium on Software Reliability Engineering Workshops, 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
2021
An End-to-End 12-Leading Electrocardiogram Diagnosis System Based on Deformable Convolutional Neural Network With Good Antinoise Ability.
IEEE Trans. Instrum. Meas., 2021
Multitask Learning Based on Lightweight 1DCNN for Fault Diagnosis of Wheelset Bearings.
IEEE Trans. Instrum. Meas., 2021
Automatic Attention Learning Using Neural Architecture Search for Detection of Cardiac Abnormality in 12-Lead ECG.
IEEE Trans. Instrum. Meas., 2021
An end-to-end atrial fibrillation detection by a novel residual-based temporal attention convolutional neural network with exponential nonlinearity loss.
Knowl. Based Syst., 2021
Automatic segmentation of organs-at-risk from head-and-neck CT using separable convolutional neural network with hard-region-weighted loss.
Neurocomputing, 2021
Proceedings of the 21st IEEE International Conference on Software Quality, 2021
LCOV-NET: A Lightweight Neural Network For COVID-19 Pneumonia Lesion Segmentation From 3D CT Images.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
A Novel Weakly Supervised Framework Based On Noisy-Label Learning For Medical Image Segmentation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Automatic 12-Leading Electrocardiogram Classification Network with Deformable Convolution.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
An Approach for Deep Learning in ECG Classification Tasks in the Presence of Noisy Labels.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
A One-Dimensional Siamese Few-Shot Learning Approach for ECG Classification under Limited Data.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Dual Attention Convolutional Neural Network Based on Adaptive Parametric ReLU for Denoising ECG Signals with Strong Noise.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
A Denoising Self-supervised Approach for COVID-19 Pneumonia Lesion Segmentation with Limited Annotated CT Images.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diagnosis.
IEEE Trans. Ind. Informatics, 2020
Multibranch and Multiscale CNN for Fault Diagnosis of Wheelset Bearings Under Strong Noise and Variable Load Condition.
IEEE Trans. Ind. Informatics, 2020
NAS-SCAM: Neural Architecture Search-Based Spatial and Channel Joint Attention Module for Nuclei Semantic Segmentation and Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
CSAF-CNN: Cross-Layer Spatial Attention Map Fusion Network for Organ-at-Risk Segmentation in Head and Neck CT Images.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
A Novel Approach for Atrial Fibrillation Signal Identification Based on Temporal Attention Mechanism.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
A Novel Deeper One-Dimensional CNN With Residual Learning for Fault Diagnosis of Wheelset Bearings in High-Speed Trains.
IEEE Access, 2019
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
DeepIGeoS-V2: Deep Interactive Segmentation of Multiple Organs from Head and Neck Images with Lightweight CNNs.
Proceedings of the Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, 2019
Global and Local Multi-scale Feature Fusion Enhancement for Brain Tumor Segmentation and Pancreas Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019
2018
Automated Segmentation of Intervertebral Disc Using Fully Dilated Separable Deep Neural Networks.
Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2018