← Authors

Zhuoning Yuan

13 papers · 2019–2023 · 7 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (11) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) 🌍 Conference Polyglot (7) 🀝 Dynamic Duo (13) πŸ”₯ Unstoppable (5) πŸ’Ž Century Club (13)

Conferences

ICML (4) ICLR (3) JMLR (2) ECCV (1) ICCV (1) IJCAI (1) NIPS (1)

Top co-authors

Tianbao Yang (13) Zhishuai Guo (5) Yan Yan (3) Yiming Ying (3) Denny Zhou (2) Lijun Zhang (2) Zi-Hao Qiu (2) Rong Jin (2) Mingrui Liu (2) Yi Xu (2)

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