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Xuhui Huang

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, 9:33 AM AMS

13

papers

247

total citations

papers (13)

Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks

ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-Shot Learning

Membrane Potential Batch Normalization for Spiking Neural Networks

Real Spike: Learning Real-Valued Spikes for Spiking Neural Networks

RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks

Reducing Information Loss for Spiking Neural Networks

Improving Transformer Based Line Segment Detection with Matched Predicting and Re-ranking

IM-Loss: Information Maximization Loss for Spiking Neural Networks

End-to-End Real-Time Vanishing Point Detection with Transformer

Deep Dive Into Gradients: Better Optimization for 3D Object Detection With Gradient-Corrected IoU Supervision

PeakConv: Learning Peak Receptive Field for Radar Semantic Segmentation

Alleviating Catastrophic Forgetting of Incremental Object Detection via Within-Class and Between-Class Knowledge Distillation

RecDis-SNN: Rectifying Membrane Potential Distribution for Directly Training Spiking Neural Networks