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Langechuan Liu

2 accepted papers

2025

TrajFlow: Multi-modal Motion Prediction via Flow Matching

IROS 2025

Efficient and accurate motion prediction is crucial for ensuring safety and informed decision-making in autonomous driving, particularly under dynamic real-world conditions that necessitate multi-modal forecasts. We introduce TrajFlow, a novel flow matching-based motion prediction framework that add

Cited by 5SourcecodeScholar
2024

Rank and Align: Towards Effective Source-free Graph Domain Adaptation

IJCAI 2024poster

Graph neural networks (GNNs) have achieved impressive performance in graph domain adaptation. However, extensive source graphs could be unavailable in real-world scenarios due to privacy and storage concerns. To this end, we investigate an underexplored yet practical problem of source-free graph dom…

Cited by 5SourcePDFScholar