Hongxing Liu — accepted AI-conference papers

2025

LaneDiffusion: Improving Centerline Graph Learning via Prior Injected BEV Feature Generation

Zijie Wang, Weiming Zhang, Wei Zhang, Xiao Tan, Hongxing Liu, Yaowei Wang +1

ICCV 2025poster

Centerline graphs, crucial for path planning in autonomous driving, are traditionally learned using deterministic methods. However, these methods often lack spatial reasoning and struggle with occluded or invisible centerlines. Generative approaches, despite their potential, remain underexplored in…

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2022

Motif-Topology and Reward-Learning Improved Spiking Neural Network for Efficient Multi-Sensory Integration

Shuncheng Jia, Ruichen Zuo, Tielin Zhang, Hongxing Liu, Bo Xu

ICASSP 2022accepted

Network architectures and learning principles are key in forming complex functions in artificial neural networks (ANNs) and spiking neural networks (SNNs). SNNs are considered the new-generation artificial networks by incorporating more biological features than ANNs, including dynamic spiking neuron…

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