YuJie Wu
8 papers · 2019–2025 · 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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🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (21)
👥
Mega-Team · Squad
🚀
Conference Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(6)
Artificial Intelligence
(5)
Deep Learning
(5)
Core AI · Artificial Intelligence
(5)
Architectures
(4)
Core Methods
(3)
Optimization & Theory
(3)
Computer Vision
(2)
Learning Types · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Computer Science
(1)
Analysis
(1)
Application Areas
(1)
Applications
(1)
Core AI · Computer Vision
(1)
Keywords
spiking neural network
(4)
neuromorphic hardware
(2)
direct training
(2)
neuromorphic computing
(2)
energy efficiency
(1)
prototype learning
(1)
graph learning
(1)
temporal information
(1)
similarity learning
(1)
deep learning
(1)
batch normalization
(1)
node classification
(1)
vector quantization
(1)
optimal transport
(1)
image retrieval
(1)
image-text retrieval
(1)
artificial neural network
(1)
graph convolution
(1)
unsupervised anomaly detection
(1)
metric learning
(1)
Papers
Cradle: Empowering Foundation Agents towards General Computer Control
ICML 2025
KoopSTD: Reliable Similarity Analysis between Dynamical Systems via Approximating Koopman Spectrum with Timescale Decoupling
ICML 2025
Neuromorphic Sequential Arena: A Benchmark for Neuromorphic Temporal Processing
IJCAI 2025
Noisy Correspondence Rectification via Asymmetric Similarity Learning
AAAI 2025
Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection
NeurIPS 2023
Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning
IJCAI 2021
Going Deeper With Directly-Trained Larger Spiking Neural Networks
AAAI 2021
Direct Training for Spiking Neural Networks: Faster, Larger, Better
AAAI 2019