Yufei Guo

16

Papers

77

Total Citations

Papers (16)

Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks

Towards Understanding Factual Knowledge of Large Language Models

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

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

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

PeakConv: Learning Peak Receptive Field for Radar Semantic Segmentation

Membrane Potential Batch Normalization for Spiking Neural Networks

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

Reducing Information Loss for Spiking Neural Networks

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

Spiking Transformer: Introducing Accurate Addition-Only Spiking Self-Attention for Transformer

Synergistic Prompting for Robust Visual Recognition with Missing Modalities

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

Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks

IM-Loss: Information Maximization Loss for Spiking Neural Networks

Spiking PointNet: Spiking Neural Networks for Point Clouds