Zhengyu Ma
10 papers · 2022–2026 · 5 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (19) π Grand Slam π Keyword Champion (2)
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Deep Learning
(10)
Architectures
(9)
Machine Learning
(6)
Artificial Intelligence
(5)
Core AI Β· Artificial Intelligence
(5)
Application Areas
(3)
Optimization & Theory
(3)
Computer Vision
(2)
Core Methods
(2)
Healthcare & Medicine
(1)
Interdisciplinary
(1)
Analysis
(1)
Cognitive Science
(1)
Core AI Β· Computer Vision
(1)
Learning Types
(1)
Keywords
spiking neural network
(7)
neuromorphic hardware
(2)
spiking transformer
(2)
energy efficiency
(2)
self-attention mechanism
(1)
computational neuroscience
(1)
sparse recovery
(1)
network pruning
(1)
vision transformer
(1)
temporal information
(1)
brain-computer interface
(1)
natural language generation
(1)
gradient computation
(1)
l1 regularization
(1)
multi-view learning
(1)
visual cortex
(1)
visual pathway
(1)
neural representation
(1)
hierarchical structure
(1)
contrastive learning
(1)
Papers
Parallel Training Time-to-First-Spike Spiking Neural Networks
AAAI 2026
SpikCommander: A High-performance Spiking Transformer with Multi-view Learning for Efficient Speech Command Recognition
AAAI 2026
Spikingformer: A Key Foundation Model for Spiking Neural Networks
AAAI 2026
Enhancing EEG-to-Text Decoding through Transferable Representations from Pre-trained Contrastive EEG-Text Masked Autoencoder
ACL 2024
Long-Range Feedback Spiking Network Captures Dynamic and Static Representations of the Visual Cortex under Movie Stimuli
NeurIPS 2024
QKFormer: Hierarchical Spiking Transformer using Q-K Attention
NeurIPS 2024
A Unified Framework for Soft Threshold Pruning
ICLR 2023
Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse
AAAI 2023
Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies
NeurIPS 2023
State Transition of Dendritic Spines Improves Learning of Sparse Spiking Neural Networks
ICML 2022