Qingyu Yan

According to our database, Qingyu Yan authored at least 8 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Optimal Signal Decomposition-based Multi-Stage Learning for Battery Health Estimation.

Vijay Babu Pamshetti, Wei Zhang, King-Jet Tseng, Bor Kiat Ng, Qingyu Yan

CoRR, January, 2025

GiNet: Integrating Sequential and Context-Aware Learning for Battery Capacity Prediction.

Sara Sameer, Wei Zhang, Xin Lou, Qingyu Yan, Terence Goh, Yulin Gao

Proceedings of the 101st IEEE Vehicular Technology Conference, 2025

2024

Practical Battery Health Monitoring using Uncertainty-Aware Bayesian Neural Network.

Yunyi Zhao, Zhang Wei, Qingyu Yan, Man-Fai Ng, B. Sivaneasan, Cheng Xiang

CoRR, 2024

Practical Battery Health Monitoring using Uncertainty-Aware Bayesian Neural Network.

Yunyi Zhao, Wei Zhang, Qingyu Yan, Man-Fai Ng, B. Sivaneasan, Cheng Xiang

Proceedings of the 100th IEEE Vehicular Technology Conference, 2024

Enhanced Battery Degradation-Aware Scheduling for Distribution Network with Electric Vehicle Load.

Vijay Babu Pamshetti, Wei Zhang, Andy Man-Fai Ng, Qingyu Yan, Kuan Tak Tan

Proceedings of the IEEE Region 10 Conference, 2024

2023

Deep Domain Adaptation with Second-Order Moment Alignment for Hyperspectral Image Classification.

Yunxiao Qi, Junping Zhang, Qingyu Yan, Dongyang Liu

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.

Man-Fai Ng, Jin Zhao, Qingyu Yan, Gareth John Conduit, Zhi Wei Seh

Nat. Mach. Intell., 2020

Spectral-Spatial Classification of Hyperspectral Image Using PCA and Gabor Filtering.

Qingyu Yan, Junping Zhang, Jia Feng

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020