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Tianyuan Jia

2 accepted papers

2025

Learning to Plan Like the Human Brain via Visuospatial Perception and Semantic-Episodic Synergistic Decision-Making

NeurIPS 2025poster

Motion planning in high-dimensional continuous spaces remains challenging due to complex environments and computational constraints. Although learning-based planners, especially graph neural network (GNN)-based, have significantly improved planning performance, they still struggle with inaccurate gr…

Cited by 0SourceScholar
2024

ND-MRM: Neuronal Diversity Inspired Multisensory Recognition Model

AAAI 2024technical

Cross-sensory interaction is a key aspect for multisensory recognition. Without cross-sensory interaction, artificial neural networks show inferior performance in multisensory recognition. On the contrary, the human brain has an inherently remarkable ability in multisensory recognition, which stems…

Cited by 2SourcePDFScholar