Cheng Cheng
Orcid: 0000-0002-9053-0237
According to our database1,
Cheng Cheng
authored at least 25 papers
between 2018 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Registration of Nonuniform LiDAR Scans With Large Pose Variations for Aircraft Assembly.
IEEE Trans. Instrum. Meas., 2025
A Quality Prediction Approach for Compressor Blade Manufacturing With Various Geometric Dimensions.
IEEE Trans Autom. Sci. Eng., 2025
AWARDistill: Adaptive and robust 3D object detection in adverse conditions through knowledge distillation.
Expert Syst. Appl., 2025
Multifunctional health status assessment based on decentralized federated temporal domain adaptation for rotating machinery.
Eng. Appl. Artif. Intell., 2025
MFMamba: A Hierarchical Weakly Causal Mamba with Multi-scale Feature Fusion for Vision Tasks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2025, 2025
2024
Fast High-Dimensional Parameter Optimization for Turbine Blade Manufacturing Using the Powerball L-BFGS Method Under Incomplete Measurements.
IEEE Trans. Instrum. Meas., 2024
GTINet: Global Topology-Aware Interactions for Unsupervised Point Cloud Registration.
IEEE Trans. Circuits Syst. Video Technol., 2024
2023
Intelligent Fault Diagnosis With Noisy Labels via Semisupervised Learning on Industrial Time Series.
IEEE Trans. Ind. Informatics, June, 2023
Diagnosis of arrhythmias with few abnormal ECG samples using metric-based meta learning.
Comput. Biol. Medicine, February, 2023
Knowl. Based Syst., 2023
2022
Homecare-Oriented ECG Diagnosis With Large-Scale Deep Neural Network for Continuous Monitoring on Embedded Devices.
IEEE Trans. Instrum. Meas., 2022
Neurocomputing, 2022
2021
2020
Nat. Mach. Intell., 2020
Remaining useful life prediction of lithium-ion batteries with adaptive unscented kalman filter and optimized support vector regression.
Neurocomputing, 2020
Wasserstein distance based deep adversarial transfer learning for intelligent fault diagnosis with unlabeled or insufficient labeled data.
Neurocomputing, 2020
A Koopman operator approach for machinery health monitoring and prediction with noisy and low-dimensional industrial time series.
Neurocomputing, 2020
Data Fusion Generative Adversarial Network for Multi-Class Imbalanced Fault Diagnosis of Rotating Machinery.
IEEE Access, 2020
State of health estimation for lithium-ion batteries with dynamic time warping and deep kernel learning model.
Proceedings of the 18th European Control Conference, 2020
2019
CoRR, 2019
Wasserstein Distance based Deep Adversarial Transfer Learning for Intelligent Fault Diagnosis.
CoRR, 2019
IEEE Access, 2019
2018
Online Bearing Remaining Useful Life Prediction Based on a Novel Degradation Indicator and Convolutional Neural Networks.
CoRR, 2018