Qingyu Yan
Orcid: 0000-0003-0317-3225
According to our database1,
Qingyu Yan authored at least 15 papers
between 2020 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
SFE-CA: omni feature aware modelling integrating coordinate attention and sequential feature enhancement for chinese herbal slices classification.
Multim. Syst., August, 2026
Knowledge-Aware Modeling With Frequency-Adaptive Learning for Battery Health Prognostics.
IEEE Internet Things J., 2026
Pace: Physics-Aware Attentive Temporal Convolutional Network for Battery Health Estimation.
Proceedings of the 41st ACM/SIGAPP Symposium on Applied Computing, 2026
Shift: Sodium-battery Health Prediction with Integrated Frequency-aware Transfer Learning.
Proceedings of the 41st ACM/SIGAPP Symposium on Applied Computing, 2026
EntroLnn: Entropy-Guided Liquid Neural Networks for Operando Refinement of Battery Capacity Fade Trajectories.
Proceedings of the 41st ACM/SIGAPP Symposium on Applied Computing, 2026
2025
Knowledge-Aware Modeling with Frequency Adaptive Learning for Battery Health Prognostics.
CoRR, October, 2025
GiNet: Integrating Sequential and Context-Aware Learning for Battery Capacity Prediction.
Proceedings of the 101st IEEE Vehicular Technology Conference, 2025
Optimal Signal Decomposition-based Multi-Stage Learning for Battery Health Estimation.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2025
Proceedings of the 2025 IEEE Global Communications Conference, 2025
2024
CoRR, 2024
Proceedings of the 100th IEEE Vehicular Technology Conference, 2024
Enhanced Battery Degradation-Aware Scheduling for Distribution Network with Electric Vehicle Load.
Proceedings of the IEEE Region 10 Conference, 2024
2023
Deep Domain Adaptation with Second-Order Moment Alignment for Hyperspectral Image Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2020
Predicting the state of charge and health of batteries using data-driven machine learning.
Nat. Mach. Intell., 2020
Spectral-Spatial Classification of Hyperspectral Image Using PCA and Gabor Filtering.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020