3 papers
cs.LG2025
Universal Battery Degradation Forecasting Driven by Foundation Model Across Diverse Chemistries and Conditions
Joey Chan, Huan Wang, Haoyu Pan +6
Accurate forecasting of battery capacity fade is essential for the safety, reliability, and long-term efficiency of energy storage systems. However, the strong heterogeneity across…
cs.CV2025
DialBench: Towards Accurate Reading Recognition of Pointer Meter using Large Foundation Models
Futian Wang, Chaoliu Weng, Xiao Wang +3
The precise reading recognition of pointer meters plays a key role in smart power systems, but existing approaches remain fragile due to challenges like reflections, occlusions, dy…
cs.AI2025
Foundation Models Knowledge Distillation For Battery Capacity Degradation Forecast
Joey Chan, Zhen Chen, Ershun Pan
Accurate forecasting of lithium-ion battery capacity degradation is critical for reliable and safe operation, yet remains challenging under distribution shifts across scales and op…