Yijing Liu
4 papers · 2020–2024 · 3 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 · Silver
🗺️
Taxonomy Completionist
(15)
🐣
Hot Topic Early Bird
🌈
Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Deep Learning
(4)
Machine Learning
(4)
Application Areas
(2)
Architectures
(2)
Core Methods
(2)
Learning Types · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Models
(2)
Data Science & Analytics
(1)
Healthcare & Medicine
(1)
Reinforcement Learning
(1)
Security & Privacy
(1)
Bayesian & Probabilistic
(1)
Methods · Reinforcement Learning
(1)
Methods · Data Science & Analytics
(1)
Keywords
unsupervised learning
(1)
representation learning
(1)
reinforcement learning
(1)
approximate inference
(1)
policy optimization
(1)
variational inference
(1)
policy gradient
(1)
graph generation
(1)
gradient estimation
(1)
posterior distribution
(1)
time series forecasting
(1)
graph diffusion
(1)
multivariate time series
(1)
adversarial attack
(1)
generative model
(1)
diffusion model
(1)
variational autoencoder
(1)
drug design
(1)
model stealing
(1)
model extraction
(1)
Papers
Fully Exploiting Every Real Sample: SuperPixel Sample Gradient Model Stealing
CVPR 2024
Graph Diffusion Policy Optimization
NeurIPS 2024
Multivariate Time-Series Forecasting with Temporal Polynomial Graph Neural Networks
NeurIPS 2022
Towards Consistent Variational Auto-Encoding (Student Abstract)
AAAI 2020