Zecheng Hao
14 papers · 2023–2026 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (26) π Triple Crown
π
Grand Slam
π€
Dynamic Duo
(13)
π
Triple Crown
π
Keyword Champion
(2)
β‘
Prolific Year Β· Productive
ποΈ
Keyword Collector
(60)
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Deep Learning
(13)
Architectures
(11)
Machine Learning
(10)
Artificial Intelligence
(9)
Core AI
(8)
Application Areas
(4)
Optimization & Theory Β· Machine Learning
(4)
Learning Types Β· Machine Learning
(3)
Learning Types Β· Deep Learning
(2)
Optimization & Theory Β· Deep Learning
(2)
Computer Vision
(1)
Interdisciplinary
(1)
Analysis
(1)
Generation
(1)
Learning Paradigms
(1)
Keywords
spiking neural network
(12)
membrane potential
(4)
surrogate gradient
(4)
neuromorphic computing
(3)
temporal information
(3)
adversarial attack
(2)
ann-snn conversion
(2)
low power consumption
(2)
adversarial robustness
(2)
energy efficiency
(2)
rate coding
(2)
spike counts
(1)
neuromorphic hardware
(1)
self-attention mechanism
(1)
vision transformer
(1)
gaussian splatting
(1)
neural network training
(1)
neural radiance field
(1)
novel view synthesis
(1)
3d gaussian splatting
(1)
Papers
Rethinking SNN Online Training and Deployment: Gradient-Coherent Learning via Hybrid-Driven LIF Model
CVPR 2026
Differential Coding for Training-Free ANN-to-SNN Conversion
ICML 2025
Faster and Stronger: When ANN-SNN Conversion Meets Parallel Spiking Calculation
ICML 2025
USP-Gaussian: Unifying Spike-based Image Reconstruction, Pose Correction and Gaussian Splatting
CVPR 2025
A Progressive Training Framework for Spiking Neural Networks with Learnable Multi-hierarchical Model
ICLR 2024
Enhancing Adversarial Robustness in SNNs with Sparse Gradients
ICML 2024
LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model
NeurIPS 2024
SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks
CVPR 2024
Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks
NeurIPS 2024
Threaten Spiking Neural Networks through Combining Rate and Temporal Information
ICLR 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