Huan Wang / 王欢
Huan Wang / 王欢
Department of Industrial Engineering, Tsinghua University
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Understanding and learning discriminant features based on multiattention 1DCNN for wheelset bearing fault diagnosis
H Wang, Z Liu, D Peng, Y Qin
IEEE Transactions on Industrial Informatics 16 (9), 5735-5745, 2019
A novel deeper one-dimensional CNN with residual learning for fault diagnosis of wheelset bearings in high-speed trains
D Peng, Z Liu, H Wang, Y Qin, L Jia
Ieee Access 7, 10278-10293, 2018
Deep learning in ECG diagnosis: A review
X Liu, H Wang, Z Li, L Qin
Knowledge-Based Systems 227, 107187, 2021
Multibranch and multiscale CNN for fault diagnosis of wheelset bearings under strong noise and variable load condition
D Peng, H Wang, Z Liu, W Zhang, MJ Zuo, J Chen
IEEE Transactions on Industrial Informatics 16 (7), 4949-4960, 2020
Attention-guided joint learning CNN with noise robustness for bearing fault diagnosis and vibration signal denoising
H Wang, Z Liu, D Peng, Z Cheng
ISA transactions 128, 470-484, 2022
Multitask learning based on lightweight 1DCNN for fault diagnosis of wheelset bearings
Z Liu, H Wang, J Liu, Y Qin, D Peng
IEEE Transactions on Instrumentation and Measurement 70, 1-11, 2020
Feature-level attention-guided multitask CNN for fault diagnosis and working conditions identification of rolling bearing
H Wang, Z Liu, D Peng, M Yang, Y Qin
IEEE transactions on neural networks and learning systems 33 (9), 4757-4769, 2021
Attention-based deep meta-transfer learning for few-shot fine-grained fault diagnosis
C Li, S Li, H Wang, F Gu, AD Ball
Knowledge-Based Systems 264, 110345, 2023
Self-supervised signal representation learning for machinery fault diagnosis under limited annotation data
H Wang, Z Liu, Y Ge, D Peng
Knowledge-Based Systems 239, 107978, 2022
Interpretable convolutional neural network with multilayer wavelet for Noise-Robust Machinery fault diagnosis
H Wang, Z Liu, D Peng, MJ Zuo
Mechanical Systems and Signal Processing 195, 110314, 2023
Intelligent vibration signal denoising method based on non-local fully convolutional neural network for rolling bearings
H Han, H Wang, Z Liu, J Wang
ISA transactions 122, 13-23, 2022
An end-to-end atrial fibrillation detection by a novel residual-based temporal attention convolutional neural network with exponential nonlinearity loss
Y Gao, H Wang, Z Liu
Knowledge-Based Systems 212, 106589, 2021
Long-range dependencies learning based on non-local 1D-convolutional neural network for rolling bearing fault diagnosis
H Wang, Z Liu, T Ai
Journal of Dynamics, Monitoring and Diagnostics 1 (3), 148-159, 2022
Automatic segmentation of organs-at-risk from head-and-neck CT using separable convolutional neural network with hard-region-weighted loss
W Lei, H Mei, Z Sun, S Ye, R Gu, H Wang, R Huang, S Zhang, S Zhang, ...
Neurocomputing 442, 184-199, 2021
An end-to-end 12-leading electrocardiogram diagnosis system based on deformable convolutional neural network with good antinoise ability
L Qin, Y Xie, X Liu, X Yuan, H Wang
IEEE Transactions on Instrumentation and Measurement 70, 1-13, 2021
Transformer for high-speed train wheel wear prediction with multiplex local–global temporal fusion
H Wang, T Men, YF Li
IEEE Transactions on Instrumentation and Measurement 71, 1-12, 2022
Automated segmentation of skin lesion based on pyramid attention network
H Wang, G Wang, Z Sheng, S Zhang
Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019
NAS-SCAM: Neural architecture search-based spatial and channel joint attention module for nuclei semantic segmentation and classification
Z Liu, H Wang, S Zhang, G Wang, J Qi
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
Lcov-net: A lightweight neural network for covid-19 pneumonia lesion segmentation from 3d ct images
Q Zhao, H Wang, G Wang
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 42-45, 2021
ChatGPT-like large-scale foundation models for prognostics and health management: a survey and roadmaps
YF Li, H Wang, M Sun
Reliability Engineering & System Safety, 109850, 2023
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