Xiaode Liu
13 papers · 2022–2025 · 6 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (23) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (6) π Cross-Pollinator (8)
π€
Dynamic Duo
(13)
π
Century Club
(13)
Conferences
NIPS (4)
AAAI (2)
CVPR (2)
ECCV (2)
ICCV (2)
ICML (1)
Top co-authors
Keywords
spiking neural network
(10)
surrogate gradient
(3)
energy efficiency
(3)
membrane potential
(2)
binary spike
(2)
quantization error
(2)
self-attention mechanism
(1)
neural network training
(1)
representation learning
(1)
batch normalization
(1)
kl divergence
(1)
point cloud
(1)
3d vision
(1)
efficient computing
(1)
knowledge distillation
(1)
contrastive learning
(1)
mutual information
(1)
neuromorphic computing
(1)
information maximization
(1)
feature representation
(1)
Papers
ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks
ICML 2025
Spiking Transformer: Introducing Accurate Addition-Only Spiking Self-Attention for Transformer
CVPR 2025
Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks
NIPS 2024
Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks
AAAI 2024
Enhancing Representation of Spiking Neural Networks via Similarity-Sensitive Contrastive Learning
AAAI 2024
EnOF-SNN: Training Accurate Spiking Neural Networks via Enhancing the Output Feature
NIPS 2024
RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks
ICCV 2023
Spiking PointNet: Spiking Neural Networks for Point Clouds
NIPS 2023
Membrane Potential Batch Normalization for Spiking Neural Networks
ICCV 2023
RecDis-SNN: Rectifying Membrane Potential Distribution for Directly Training Spiking Neural Networks
CVPR 2022
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