Yifan Lu

PhD student, Institute of automation, Chinese academy of science, Chinese Academy of Sciences

1 paper at NeurIPS 2025

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Poster Session 2

Wednesday, December 3, 2025 · 4:30 PM → 7:30 PM

MI-TRQR: Mutual Information-Based Temporal Redundancy Quantification and Reduction for Energy-Efficient Spiking Neural Networks

#2012 · Dengfeng Xue, Wenjuan Li, Yifan Lu, Chunfeng Yuan, Yufan Liu, Wei Liu, Man Yao, Li Yang, Guoqi Li, Bing Li, Stephen Maybank, Weiming Hu, Zhetao Li

To mitigate temporal redundancy for SNNs, we propose a module named Mutual Information-based Temporal Redundancy Quantification and Reduction (MI-TRQR), constructing energy-efficient SNNs.