| State of health estimation for lithium-ion batteries on few-shot learning S Zhang, Z Liu, H Su Energy 268, 126726, 2023 | 32 | 2023 |
| A Bayesian mixture neural network for remaining useful life prediction of lithium-ion batteries S Zhang, Z Liu, H Su IEEE Transactions on Transportation Electrification 8 (4), 4708-4721, 2022 | 30 | 2022 |
| Hot rolled prognostic approach based on hybrid Bayesian progressive layered extraction multi-task learning S Zhang, Z Liu, T An, X Cui, X Zeng, N Shi, H Su Expert Systems with Applications 249, 123763, 2024 | 2 | 2024 |
| A Physics-Informed Hybrid Data-Driven Approach with Generative Electrode-Level Features for Lithium-Ion Battery Health Prognostics S Zhang, Z Liu, Y Xu, J Guo, H Su IEEE Transactions on Transportation Electrification, 2024 | 1 | 2024 |
| A Physics-Informed Hybrid Multitask Learning for Lithium-Ion Battery Full-Life Aging Estimation at Early Lifetime S Zhang, Z Liu, Y Xu, H Su IEEE Transactions on Industrial Informatics, 2024 | | 2024 |
| Battery Early Prognostics Based on Pseudo Meta-Learning S Zhang, Z Liu, H Su IEEE Transactions on Industrial Informatics, 2024 | | 2024 |
| An Interpretable Semi-Supervised Learning Approach for Battery Lifespan Early Prognostic S Zhang, Z Liu, T An, J Guo, H Su 2024 36th Chinese Control and Decision Conference (CCDC), 7-14, 2024 | | 2024 |
Hongye SuZhejiang University在 iipc.zju.edu.cn 的电子邮件经过验证
