Honglin Yuan
8 papers · 2020–2026 · 7 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (21)
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Grand Slam
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The Questioner
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory · Machine Learning
(5)
Mathematics & Optimization
(3)
Learning Paradigms · Machine Learning
(3)
Optimization
(3)
Artificial Intelligence
(2)
Deep Learning
(2)
Core Methods
(2)
Learning Paradigms · Artificial Intelligence
(2)
Data Science & Analytics
(1)
Application Areas
(1)
Applications
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
federated learning
(3)
stochastic gradient descent
(2)
concept drift
(1)
prototype learning
(1)
semi-supervised learning
(1)
iterative optimization
(1)
accelerated optimization
(1)
primal-dual algorithm
(1)
clustering performance
(1)
knowledge distillation
(1)
convergence analysis
(1)
composite optimization
(1)
distributed optimization
(1)
knowledge base
(1)
distribution shift
(1)
convex optimization
(1)
dual averaging
(1)
communication efficiency
(1)
catastrophic forgetting
(1)
multi-view clustering
(1)
Papers
Anti-Degradation Lifelong Multi-View Clustering
CVPR 2026
Neural Collapse Priors Driven Trust Semi-Supervised Multi-View Classification
AAAI 2026
Deep Streaming View Clustering
ICML 2025
Big-Step-Little-Step: Efficient Gradient Methods for Objectives with Multiple Scales
COLT 2022
Sharp Bounds for Federated Averaging (Local SGD) and Continuous Perspective
AISTATS 2022
What Do We Mean by Generalization in Federated Learning?
ICLR 2022
Federated Composite Optimization
ICML 2021
Federated Accelerated Stochastic Gradient Descent
NeurIPS 2020