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Chengting Yu

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 15, 2026, 4:50 AM AMS

4

papers

19

total citations

papers (4)

Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks

Efficient ANN-Guided Distillation: Aligning Rate-based Features of Spiking Neural Networks through Hybrid Block-wise Replacement

Efficient Logit-based Knowledge Distillation of Deep Spiking Neural Networks for Full-Range Timestep Deployment

Enhanced Self-Distillation Framework for Efficient Spiking Neural Network Training

NEURIPS 2025arXiv