Zecheng Hao
13 papers · 2023–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (8) πΊοΈ Taxonomy Completionist (22) π Conference Polyglot (5) π Interdisciplinary Bridge π§ Keyword Pioneer
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Dynamic Duo
(12)
π
Triple Crown
π
Grand Slam
π
Century Club
(13)
β‘
Prolific Year
(7)
Conferences
ICLR (4)
CVPR (3)
ICML (3)
NIPS (2)
AAAI (1)
Top co-authors
Keywords
spiking neural network
(5)
membrane potential
(2)
neuromorphic computing
(2)
surrogate gradient
(2)
neural network training
(1)
self-attention mechanism
(1)
image reconstruction
(1)
gaussian splatting
(1)
energy efficiency
(1)
neuromorphic hardware
(1)
adversarial attack
(1)
3d gaussian splatting
(1)
neural radiance field
(1)
novel view synthesis
(1)
gradient vanishing
(1)
evolutionary training
(1)
adversarial example
(1)
artificial neural network
(1)
spike camera
(1)
camera pose estimation
(1)
Papers
Faster and Stronger: When ANN-SNN Conversion Meets Parallel Spiking Calculation
ICML 2025
Differential Coding for Training-Free ANN-to-SNN Conversion
ICML 2025
USP-Gaussian: Unifying Spike-based Image Reconstruction, Pose Correction and Gaussian Splatting
CVPR 2025
Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks
NIPS 2024
LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model
NIPS 2024
SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks
CVPR 2024
A Progressive Training Framework for Spiking Neural Networks with Learnable Multi-hierarchical Model
ICLR 2024
Threaten Spiking Neural Networks through Combining Rate and Temporal Information
ICLR 2024
Enhancing Adversarial Robustness in SNNs with Sparse Gradients
ICML 2024
Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework
ICLR 2024
Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes
ICLR 2023
Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks
CVPR 2023
Reducing ANN-SNN Conversion Error through Residual Membrane Potential
AAAI 2023