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Jianxiong Tang

2 accepted papers

2026

MAR: EFFICIENT LARGE LANGUAGE MODELS VIA MODULE-AWARE ARCHITECTURE REFINEMENT

ICASSP 2026poster

Large Language Models (LLMs) excel across diverse domains but suffer from high energy costs due to quadratic attention and dense Feed-Forward Network (FFN) operations. To address these issues, we propose Module-aware Architecture Refinement (MAR), a two-stage framework that integrates State Space Mo…

Cited by 0SourcePDFScholar
2023

Spike Count Maximization for Neuromorphic Vision Recognition

IJCAI 2023poster

Spiking Neural Networks (SNNs) are the promising models of neuromorphic vision recognition. The mean square error (MSE) and cross-entropy (CE) losses are widely applied to supervise the training of SNNs on neuromorphic datasets. However, the relevance between the output spike counts and predictions…