Yufei Guo
21 papers · 2021–2026 · 7 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (8) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🏃 Academic Marathon (5)
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Interdisciplinary Bridge
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Conference Polyglot
(7)
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(10)
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Dynamic Duo
(16)
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Keyword Collector
(80)
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Conferences
AAAI (5)
NIPS (5)
CVPR (4)
ICCV (3)
ECCV (2)
ICLR (1)
ICML (1)
Top co-authors
Keywords
spiking neural network
(11)
surrogate gradient
(4)
transformer architecture
(3)
energy efficiency
(3)
binary spike
(2)
membrane potential
(2)
quantization error
(2)
neuromorphic computing
(2)
self-attention mechanism
(1)
batch normalization
(1)
neural network training
(1)
kl divergence
(1)
bipartite matching
(1)
prompt-based learning
(1)
representation learning
(1)
knowledge distillation
(1)
feature representation
(1)
geometric analysis
(1)
contrastive learning
(1)
efficient computing
(1)
Papers
Hilbert Curve-Encoded Rotation-Equivariant Oriented Object Detector with Locality-Preserving Spatial Mapping
AAAI 2026
Synergistic Prompting for Robust Visual Recognition with Missing Modalities
ICCV 2025
Spiking Transformer: Introducing Accurate Addition-Only Spiking Self-Attention for Transformer
CVPR 2025
Improving Transformer Based Line Segment Detection with Matched Predicting and Re-ranking
AAAI 2025
ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks
ICML 2025
Enhancing Representation of Spiking Neural Networks via Similarity-Sensitive Contrastive Learning
AAAI 2024
Towards Understanding Factual Knowledge of Large Language Models
ICLR 2024
Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks
NIPS 2024
EnOF-SNN: Training Accurate Spiking Neural Networks via Enhancing the Output Feature
NIPS 2024
End-to-End Real-Time Vanishing Point Detection with Transformer
AAAI 2024
Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks
AAAI 2024
Deep Dive Into Gradients: Better Optimization for 3D Object Detection With Gradient-Corrected IoU Supervision
CVPR 2023
Spiking PointNet: Spiking Neural Networks for Point Clouds
NIPS 2023
PeakConv: Learning Peak Receptive Field for Radar Semantic Segmentation
CVPR 2023
Membrane Potential Batch Normalization for Spiking Neural Networks
ICCV 2023
RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks
ICCV 2023
IM-Loss: Information Maximization Loss for Spiking Neural Networks
NIPS 2022
Reducing Information Loss for Spiking Neural Networks
ECCV 2022
Real Spike: Learning Real-Valued Spikes for Spiking Neural Networks
ECCV 2022
RecDis-SNN: Rectifying Membrane Potential Distribution for Directly Training Spiking Neural Networks
CVPR 2022
Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks
NIPS 2021