Mengna Liu
Orcid: 0009-0000-4729-0592
According to our database1,
Mengna Liu authored at least 24 papers
between 2022 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2026
Interpretable Chinese Metaphor Identification via LLM-Assisted MIPVU Rule Script Generation: A Comparative Protocol Study.
CoRR, March, 2026
Learning Domain-Generalizable Discriminative Representations by Mixing Euclidean Dynamics and Hilbert Statistics for Wind Turbine Blade Icing Detection.
IEEE Trans. Ind. Informatics, February, 2026
Time-Frequency Collaborative Learning for Imbalanced Ship Motion Data With Missing Labels in Sea State Estimation.
IEEE Trans. Cybern., February, 2026
A<sup>2</sup>P-Net: Asymmetric Domain-Adaptive Prototype Network for Cross-Domain Multimodal Sensor Retrieval.
Proceedings of the 2026 International Conference on Multimedia Retrieval, 2026
Beyond Missing Data Imputation: Information-Theoretic Coupling of Missingness and Class Imbalance for Optimal Irregular Time Series Classification.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
Optimization of Meta-Learning Algorithms Based on Adversarial Training in Vehicular and Mobile Communications.
IEEE Trans. Veh. Technol., October, 2025
One Stone, Three Birds: Prototype-Enhanced Federated Learning for Mitigating Data Scarcity, Imbalance, and Heterogeneity in Blade Icing Detection Across Distributed Wind Farms.
IEEE Internet Things J., October, 2025
Leveragable Adaptive Multi-Scale Features and Learnable Prototypes for Imbalanced Sea State Estimation Based on Ship Motion Data.
IEEE Trans. Intell. Transp. Syst., August, 2025
Dynamic Graph-Like Learning with Contrastive Clustering on Temporally-Factored Ship Motion Data for Imbalanced Sea State Estimation in Autonomous Vessel.
CoRR, April, 2025
Prototype-based Heterogeneous Federated Learning for Blade Icing Detection in Wind Turbines with Class Imbalanced Data.
CoRR, March, 2025
Topology identification and synchronization of neural networks based on privacy protection.
J. Frankl. Inst., 2025
An end-to-end model for time series classification in the presence of missing values.
Expert Syst. Appl., 2025
Multi-Scale Convolutional Networks with Class-Normalized Logit Clipping for Robust Sea State Estimation from Noisy Ship Motion Data.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025
Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025
2024
A Prototype-Empowered Kernel-Varying Convolutional Model for Imbalanced Sea State Estimation in IoT-Enabled Autonomous Ship.
IEEE Trans. Sustain. Comput., 2024
Multilevel Signal Decomposition Layer-Specific Residual Network for Blade Icing Prediction.
IEEE Signal Process. Lett., 2024
An End-to-End Model for Time Series Classification In the Presence of Missing Values.
CoRR, 2024
Disentangling Imperfect: A Wavelet-Infused Multilevel Heterogeneous Network for Human Activity Recognition in Flawed Wearable Sensor Data.
CoRR, 2024
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024
Proceedings of the 2024 3rd International Conference on Frontiers of Artificial Intelligence and Machine Learning, 2024
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024
2023
Learning-Based Model Predictive Control with Application in Robotic Trajectory Tracking.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
2022
Kernelised correlation filters target tracking fused multi-feature based on the unmanned aerial vehicle platform.
IET Wirel. Sens. Syst., 2022
Research on Risk Contagion among Financial Submarkets in China Based on Complex Networks.
Entropy, 2022