Papers by Shijie Mei

2 papers
Seeing the wood for the trees: a contrastive regularization method for the low-resource Knowledge Base Question Answering (2022.findings-naacl)

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Challenge: Existing methods for Knowledge Base Question Answering rely on semantic parsing and information retrieval.
Approach: They propose a contrastive regularization based method to extract correct answer entities from a context knowledge base and a corresponding question.
Outcome: The proposed method achieves state-of-the-art performance on the WebQuestionsSP dataset and the effectiveness of proposed modules is also evaluated.
MMDEND: Dendrite-Inspired Multi-Branch Multi-Compartment Parallel Spiking Neuron for Sequence Modeling (2025.acl-long)

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Challenge: Vanilla spiking neurons are simplified from complex biological neurons with dendrites, soma, and synapses into single somatic compartments.
Approach: They propose a multi-branch, multi-compartment parallel spiking dendritic neuron with a proportion-adjustable multi-branched structure that enables long-term temporal dependencies.
Outcome: The proposed model achieves better long-sequence modeling capability with fewer parameters and lower energy consumption.

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