Na Qin
Orcid: 0000-0003-3227-974XAffiliations:
- Southwest Jiaotong University, Chengdu, Sichuan, China
According to our database1,
Na Qin authored at least 57 papers
between 2011 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
A segment anything model-driven framework for multimodal active learning in breast cancer segmentation.
Medical Biol. Eng. Comput., April, 2026
Balanced sampling-driven multi-modal active learning framework for breast cancer segmentation.
Mach. Vis. Appl., January, 2026
Dual Domain Fault Diagnosis of Wind Turbine Gearbox Based on Physical Information Neural Network.
IEEE Internet Things J., 2026
Comput. Chem. Eng., 2026
MAPI-GNN: Multi-Activation Plane Interaction Graph Neural Network for Multimodal Medical Diagnosis.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
Generalized Zero-Shot Learning for Fault Diagnosis in High-Speed Train Bogies Based on Enhanced Diffusion Generative Models.
IEEE Trans. Reliab., June, 2025
A Multi-Rank Federated Distillation Framework for Data-Imbalance Fault Diagnosis of Multi-Railway High-Speed Train Bogies.
IEEE Trans. Intell. Transp. Syst., April, 2025
A Stacked Generalized Zero-Shot Learning Framework for Fault Diagnosis of High-Speed Train Bogies With Data Imbalance.
IEEE Trans. Instrum. Meas., 2025
Heterogeneous Federated Large-Scale Model Architecture With Privacy Protection for Cross-Corporation Non-i.i.d. Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2025
Fixed-Time and Prescribed-Time Image-Based Visual Servoing with Asymmetric Time-Varying Output Constraint.
Robotics, 2025
Efficient segmentation of intraoperative anatomical landmarks in laparoscopic cholecystectomy based on deep learning.
Comput. Methods Programs Biomed., 2025
Image-Based Visual Servoing with Real-Time Depth Estimation for Bolt Alignment in Manipulator Control.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2025
2024
An Efficient Federated Learning Framework for Machinery Fault Diagnosis With Improved Model Aggregation and Local Model Training.
IEEE Trans. Neural Networks Learn. Syst., July, 2024
MFU-Net: a deep multimodal fusion network for breast cancer segmentation with dual-layer spectral detector CT.
Appl. Intell., March, 2024
SCA-MADRL: Multiagent deep reinforcement learning framework based on state classification and assignment for intelligent shield attitude control.
Expert Syst. Appl., January, 2024
Generalized Zero-Shot Approach Leveraging Attribute Space for High-Speed Train Bogie.
IEEE Trans. Instrum. Meas., 2024
GraphFL: Graph Federated Learning for Fault Localization of Multirailway High-Speed Train Suspension Systems.
IEEE Trans. Instrum. Meas., 2024
Lightweight FL: A Low-Cost Federated Learning Framework for Mechanical Fault Diagnosis With Training Optimization and Model Pruning.
IEEE Trans. Instrum. Meas., 2024
2023
Spatial Adaptive Iterative Learning Tracking Control for High-Speed Trains Considering Passing Through Neutral Sections.
IEEE Trans. Syst. Man Cybern. Syst., October, 2023
Adaptive Iterative Learning Control for a Class of Nonlinear Strict-Feedback Systems With Unknown State Delays.
IEEE Trans. Neural Networks Learn. Syst., September, 2023
Fault Diagnosis of Multi-Railway High-Speed Train Bogies by Improved Federated Learning.
IEEE Trans. Veh. Technol., June, 2023
Resilient Coordinated Data-Driven Control of Multiple High-Speed Trains Under Fading Measurements and Denial-of-Service Attacks.
IEEE Trans. Veh. Technol., May, 2023
Prediction of esophageal and gastric varices rebleeding for cirrhotic patients based on deep learning.
Biomed. Signal Process. Control., March, 2023
DenseNet Extension under the Generalized Zero-shot Learning Framework: A Novel strategy for Bogie Fault Diagnosis of High-speed Train.
Proceedings of the CAA Symposium on Fault Detection, 2023
Generalized Zero-Shot Learning Fault Diagnosis for Bogies of High-speed Trains based on Improved Generative Adversarial Networks.
Proceedings of the CAA Symposium on Fault Detection, 2023
Enhancing Robustness in Multi-modal CT Image Segmentation with a Clustering-based Deep Active Learning Approach.
Proceedings of the CAA Symposium on Fault Detection, 2023
An Extremely Lightweight Network with Blueprint Separable Convolution and Pruning for Diagnosing High-speed Train Bogie Faults.
Proceedings of the CAA Symposium on Fault Detection, 2023
Federated Transfer Learning for Fault Diagnosis of High-speed Train Bogie With Data Security and Training Optimization.
Proceedings of the CAA Symposium on Fault Detection, 2023
2022
High-Accuracy and Adaptive Fault Diagnosis of High-Speed Train Bogie Using Dense-Squeeze Network.
IEEE Trans. Veh. Technol., 2022
Modeling and Second-Order Sliding Mode Control for Lateral Vibration of High-Speed Train With MR Dampers.
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Trans. Instrum. Meas., 2022
Stepwise Adaptive Convolutional Network for Fault Diagnosis of High-Speed Train Bogie Under Variant Running Speeds.
IEEE Trans. Ind. Informatics, 2022
A clustered blueprint separable convolutional neural network with high precision for high-speed train bogie fault diagnosis.
Neurocomputing, 2022
Efficient Axillary Lymph Node Detection Via Two-stage Spatial-information-fusion-based CNN.
Comput. Methods Programs Biomed., 2022
2021
Erratum to "Fault Diagnosis of High-Speed Train Bogie Based on the Improved-CEEMDAN and 1-D CNN Algorithms".
IEEE Trans. Instrum. Meas., 2021
Fault Diagnosis of High-Speed Train Bogie Based on the Improved-CEEMDAN and 1-D CNN Algorithms.
IEEE Trans. Instrum. Meas., 2021
IEEE Trans. Control. Syst. Technol., 2021
LeanNet: An Efficient Convolutional Neural Network for Digital Number Recognition in Industrial Products.
Sensors, 2021
Sci. China Inf. Sci., 2021
Axillary lymph node metastasis prediction by contrast-enhanced computed tomography images for breast cancer patients based on deep learning.
Comput. Biol. Medicine, 2021
Multi-scale Convolutional Neural Network for Fault-locating of High-speed Train Bogie.
Proceedings of the CAA Symposium on Fault Detection, 2021
2020
Multiple Convolutional Recurrent Neural Networks for Fault Identification and Performance Degradation Evaluation of High-Speed Train Bogie.
IEEE Trans. Neural Networks Learn. Syst., 2020
Damage Localization of Stacker's Track Based on EEMD-EMD and DBSCAN Cluster Algorithms.
IEEE Trans. Instrum. Meas., 2020
IEEE Trans. Instrum. Meas., 2020
Neurocomputing, 2020
Iterative learning of human partner's desired trajectory for proactive human-robot collaboration.
Int. J. Intell. Robotics Appl., 2020
2019
IEEE Trans. Ind. Informatics, 2019
Output Feedback Repetitive Learning Control of an Electrohydraulic Actuator of a Lower Limb Rehabilitation Exoskeleton.
Comput. Sci. Eng., 2019
Tracking Control via Iterative Learning for High-Speed Trains With Distributed Input Constraints.
IEEE Access, 2019
Proceedings of the CAA Symposium on Fault Detection, 2019
Fault Diagnosis and Tolerant Control for Sensors of PWM Rectifier Under High Switching Frequency.
Proceedings of the CAA Symposium on Fault Detection, 2019
2018
Convolutional Recurrent Neural Network for Fault Diagnosis of High-Speed Train Bogie.
Complex., 2018
Adaptive Cooperative Tracking Control of Multi-Agent Systems With Unknown Actuators Hysteresis.
IEEE Access, 2018
Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018
2017
Proceedings of the Information Technology and Intelligent Transportation Systems, 2017
2016
Double-Trapezium Cylinder Codebook Model Based on YUV Color Model for Foreground Detection with Shadow and Highlight Suppression.
J. Signal Process. Syst., 2016
2011
Comput. Geosci., 2011