Zhuoning Yuan
13 papers · 2019–2023 · 7 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (25) 🤝 Dynamic Duo (13)
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Machine Learning
(12)
Optimization & Theory · Machine Learning
(11)
Deep Learning
(7)
Optimization & Theory · Deep Learning
(4)
Mathematics & Optimization
(3)
Core Methods
(3)
Optimization
(3)
Architectures
(2)
Learning Paradigms · Machine Learning
(2)
Learning Types · Machine Learning
(2)
Artificial Intelligence
(1)
Healthcare & Medicine
(1)
Clinical
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Types · Deep Learning
(1)
Keywords
stochastic optimization
(6)
non-convex optimization
(4)
imbalanced classification
(3)
convergence analysis
(3)
stochastic gradient descent
(3)
auc maximization
(3)
convergence rate
(2)
neural network
(2)
deep auc maximization
(2)
contrastive learning
(2)
min-max optimization
(2)
representation learning
(2)
deep neural network
(2)
self-supervised learning
(2)
medical image classification
(1)
distributed learning
(1)
communication complexity
(1)
continual learning
(1)
stagewise learning
(1)
medical imaging
(1)
Papers
Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition
JMLR 2023
Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning
JMLR 2023
Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization
ICML 2023
Compositional Training for End-to-End Deep AUC Maximization
ICLR 2022
Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance
ICML 2022
Federated Deep AUC Maximization for Hetergeneous Data with a Constant Communication Complexity
ICML 2021
Large-Scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification
ICCV 2021
Accelerating Deep Learning with Millions of Classes
ECCV 2020
Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks
ICML 2020
Stochastic AUC Maximization with Deep Neural Networks
ICLR 2020
On the Convergence of (Stochastic) Gradient Descent with Extrapolation for Non-Convex Minimization
IJCAI 2019
Stagewise Training Accelerates Convergence of Testing Error Over SGD
NeurIPS 2019
Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions
ICLR 2019