Full Professor, College of Information Science and Technology, Jinan University
1 paper at NeurIPS 2025
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.
