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Kai Xie

3 accepted papers

2026

Safe and Efficient Control: A Subgraph-Augmented Hierarchical Reinforcement Learning Framework for Dynamically Reconfigurable Battery Systems

IJCAI 2026

Dynamically Reconfigurable Battery (DRB) systems employ power electronic switches to create dynamic topologies. They enable effective management of cell difference through real-time adjustment of cell connections. However, existing DRB control methods struggle to learn effective strategies due to sp

Cited by 0Scholar
2025

Optimize Battery Control: A Multi-Objective Evolutionary Ensemble Reinforcement Learning Approach

IJCAI 2025

The Dynamically Reconfigurable Battery (DRB) systems, which use high-speed power electronic switches to dynamically adjust battery interconnections in real-time, are critical to the performance of the battery pack. Traditional battery management strategies often fail to address multi-objective optim

Cited by 0SourcePDFScholar
2015

Small target detection using an optimization-based filter

ICASSP 2015accepted

Small target detection is a critical problem in the Infrared Search And Track (IRST) system. Although it has been studied for years, there are some challenges remained, e.g. cloud edges and horizontal lines are likely to cause false alarms. This paper proposes a novel method using an optimization-ba…

Cited by 0SourceScholar