Hong Qu
7 papers · 2021–2025 · 4 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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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(21)
🐣
Hot Topic Early Bird
Top co-authors
Research topics
Deep Learning
(7)
Machine Learning
(6)
Architectures
(6)
Learning Types · Deep Learning
(4)
Optimization & Theory · Machine Learning
(3)
Core Methods
(2)
Techniques
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Natural Language Processing
(1)
Analysis
(1)
Applications
(1)
Core AI
(1)
Learning Types · Machine Learning
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
spiking neural network
(4)
neuromorphic computing
(2)
self-attention mechanism
(1)
temporal encoding
(1)
point cloud registration
(1)
motion estimation
(1)
3d vision
(1)
early stopping
(1)
uncertainty estimation
(1)
graph representation
(1)
neuromorphic hardware
(1)
random walk
(1)
spike timing
(1)
label noise
(1)
noisy label learning
(1)
text classification
(1)
pre-trained model
(1)
graph isomorphism
(1)
feature learning
(1)
representation learning
(1)
Papers
HybridReg: Robust 3D Point Cloud Registration with Hybrid Motions
AAAI 2025
Adaptive Textual Label Noise Learning based on Pre-trained Models
EMNLP 2023
Spatial-Temporal Self-Attention for Asynchronous Spiking Neural Networks
IJCAI 2023
Substructure Aware Graph Neural Networks
AAAI 2023
Temporal-Coded Spiking Neural Networks with Dynamic Firing Threshold: Learning with Event-Driven Backpropagation
ICCV 2023
Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion
IJCAI 2022
Deep Spiking Neural Network with Neural Oscillation and Spike-Phase Information
AAAI 2021