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Feifan Liu

2 accepted papers

2026

Exploring Accurate and Transparent Domain Adaptation in Predictive Healthcare via Concept-Grounded Orthogonal Inference

ICML 2026poster

Deep learning models for clinical event prediction on electronic health records (EHR) often suffer performance degradation when deployed under different data distributions. While domain adaptation (DA) methods can mitigate such shifts, its "black-box" nature prevents widespread adoption in clinical …

Cited by 0SourceScholar
2025

Safe Planner: Empowering Safety Awareness in Large Pre-Trained Models for Robot Task Planning

AAAI 2025technical

Robot task planning is an important problem for autonomous robots in long-horizon challenging tasks. As large pre-trained models have demonstrated superior planning ability, recent research investigates utilizing large models to achieve autonomous planning for robots in diverse tasks. However, sinc…

Cited by 3SourcePDFScholar