Author

Xiubo Liang

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Preprint Aug 2026

Spike-HTR: Spiking Neural Transformer for Handwritten Text Recognition

This work proposes Spike-HTR, a hybrid spiking recognizer that controls both the number of spiking steps and the number of width positions processed by the deep sequence mixer, and proposes a CTC-guided length reducer to reduce sequence computation.

Xiubo Liang, Jinxing Han, Yuke Li et al. · 0 citations

Preprint Aug 2026

SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks

Spiking Neural Networks (SNNs) enable event-driven computation with sparse activations, but building multimodal Transformers on SNNs is hindered by unstable training in deep spiking stacks and the mismatch between dense softmax attention and spike-based communication. We propose SMM Transformer, an SNN-based multimodal...

Xiubo Liang, Jinxing Han, Yuke Li et al. · 0 citations