Zhuoning Yuan
13 papers · 2019–2023 · 7 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (11) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (11) π§ Keyword Pioneer π£ Hot Topic Early Bird
π
Renaissance Researcher
(5)
π
Conference Polyglot
(7)
π€
Dynamic Duo
(13)
π₯
Unstoppable
(5)
π
Century Club
(13)
Conferences
ICML (4)
ICLR (3)
JMLR (2)
ECCV (1)
ICCV (1)
IJCAI (1)
NIPS (1)
Top co-authors
Keywords
stochastic optimization
(4)
non-convex optimization
(3)
convergence analysis
(2)
self-supervised learning
(2)
representation learning
(2)
stochastic gradient descent
(2)
convergence rate
(2)
auc maximization
(2)
neural network
(2)
contrastive learning
(2)
min-max optimization
(2)
distributed learning
(1)
communication complexity
(1)
medical image classification
(1)
continual learning
(1)
medical imaging
(1)
distributionally robust optimization
(1)
learning rate decay
(1)
communication efficiency
(1)
empirical risk minimization
(1)
Papers
Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition
JMLR 2023
Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization
ICML 2023
Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning
JMLR 2023
Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance
ICML 2022
Compositional Training for End-to-End Deep AUC Maximization
ICLR 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
Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks
ICML 2020
Accelerating Deep Learning with Millions of Classes
ECCV 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
NIPS 2019
Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions
ICLR 2019