Zixin Lin — accepted AI-conference papers

2026

LiBrain: LLM-Powered Li-ion Battery Diagnostics with Time-Series-Aware Retrieval-Augmented Framework for E-bikes

Zhao Li, Zixin Lin, Donghui Ding, Yichen Zhong, Biao Wang, Haitao Xu +1

AAAI 2026technical

The rapid proliferation of smart-city ecosystems has significantly amplified the demand for Li-ion batteries, which now serve as the primary energy source for sustainable transportation systems such as e-bikes. Ensuring battery safety and optimal performance is crucial, yet challenging due to comple

Cited by 0 Source ↗PDF ↗Scholar ↗

2025

NeRF-Based Transparent Object Grasping Enhanced by Shape Priors

Yi Han, Zixin Lin, Dongjie Li, Lvping Chen, Yongliang Shi, Gan Ma

ICRA 2025

Transparent object grasping remains a persistent challenge in robotics, largely due to the difficulty of acquiring precise 3D information. Conventional optical 3D sensors struggle to capture transparent objects, and machine learning methods are often hindered by their reliance on high-quality datase

Cited by 1 Source ↗Scholar ↗