Tong Bu
13 papers · 2022–2026 · 5 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver πΊοΈ Taxonomy Completionist (20) π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird π¬ Deep Specialist (12)
π
Grand Slam
π€
Dynamic Duo
(12)
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(53)
π₯
Unstoppable Β· Bronze
Venues
Top co-authors
Research topics
Deep Learning
(12)
Architectures
(12)
Machine Learning
(11)
Artificial Intelligence
(7)
Core AI Β· Artificial Intelligence
(6)
Optimization & Theory Β· Machine Learning
(6)
Application Areas
(4)
Learning Types Β· Machine Learning
(3)
Learning Types Β· Deep Learning
(3)
Optimization & Theory Β· Deep Learning
(3)
Techniques
(2)
Computer Vision
(1)
Core AI Β· Computer Vision
(1)
Learning Paradigms
(1)
Models
(1)
Keywords
spiking neural network
(11)
membrane potential
(4)
ann-to-snn conversion
(3)
temporal information
(3)
ann-snn conversion
(3)
neuromorphic computing
(3)
adversarial attack
(3)
adversarial robustness
(2)
neuromorphic hardware
(2)
low power consumption
(2)
rate coding
(2)
residual membrane potential
(2)
surrogate gradient
(2)
adversarial perturbation
(1)
spike counts
(1)
adversarial training
(1)
artificial neural network
(1)
object detection
(1)
adversarial example
(1)
model debugging
(1)
Papers
Generalized Threshold Optimization with Harmony Multi-Threshold Neurons for Accurate ANN-to-SNN Conversion
AAAI 2026
Differential Coding for Training-Free ANN-to-SNN Conversion
ICML 2025
Inference-Scale Complexity in ANN-SNN Conversion for High-Performance and Low-Power Applications
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
Threaten Spiking Neural Networks through Combining Rate and Temporal Information
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
Red Teaming Deep Neural Networks with Feature Synthesis Tools
NeurIPS 2023
Reducing ANN-SNN Conversion Error through Residual Membrane Potential
AAAI 2023
Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks
ICLR 2022
Optimized Potential Initialization for Low-Latency Spiking Neural Networks
AAAI 2022
SNN-RAT: Robustness-enhanced Spiking Neural Network through Regularized Adversarial Training
NeurIPS 2022