Yun Yue
7 papers · 2021–2025 · 5 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 · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(21)
🐣
Hot Topic Early Bird
🌈
Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Machine Learning
(7)
Deep Learning
(4)
Optimization & Theory · Machine Learning
(4)
Computer Vision
(2)
Application Areas
(2)
Architectures
(2)
Optimization & Theory · Deep Learning
(2)
Artificial Intelligence
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Security & Privacy
(1)
Analysis
(1)
Core AI
(1)
Core Methods
(1)
Learning Paradigms
(1)
Keywords
point cloud completion
(2)
chamfer distance
(2)
stochastic gradient descent
(2)
hyperparameter learning
(1)
adversarial attack
(1)
neural network optimization
(1)
vision transformer
(1)
gradient descent
(1)
bilevel optimization
(1)
outlier handling
(1)
gradient vanishing
(1)
hidden state
(1)
recurrent neural network
(1)
adam optimizer
(1)
asynchronous training
(1)
mutual information
(1)
vertical federated learning
(1)
privacy protection
(1)
privacy leakage
(1)
metric learning
(1)
Papers
EDiT: A Local-SGD-Based Efficient Distributed Training Method for Large Language Models
ICLR 2025
Integer Is Enough: When Vertical Federated Learning Meets Rounding
AAAI 2024
Understanding Hyperbolic Metric Learning Through Hard Negative Sampling
WACV 2024
AGD: an Auto-switchable Optimizer using Stepwise Gradient Difference for Preconditioning Matrix
NeurIPS 2023
Hyperbolic Chamfer Distance for Point Cloud Completion
ICCV 2023
InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion
NeurIPS 2023
SBO-RNN: Reformulating Recurrent Neural Networks via Stochastic Bilevel Optimization
NeurIPS 2021