Honglin Yuan
7 papers · 2020–2026 · 6 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (14) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (5) π Academic Marathon (5)
π
Cross-Pollinator
(10)
π
Grand Slam
β
The Questioner
Conferences
ICML (2)
AAAI (1)
AISTATS (1)
COLT (1)
ICLR (1)
NIPS (1)
Top co-authors
Keywords
federated learning
(2)
stochastic gradient descent
(2)
semi-supervised learning
(1)
iterative optimization
(1)
convex optimization
(1)
accelerated optimization
(1)
prototype learning
(1)
convergence analysis
(1)
composite optimization
(1)
distributed optimization
(1)
primal-dual algorithm
(1)
dual averaging
(1)
communication efficiency
(1)
condition number
(1)
neural collapse
(1)
convergence speed
(1)
stochastic differential equation
(1)
evidential learning
(1)
federated averaging
(1)
local stochastic gradient descent
(1)
Papers
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
What Do We Mean by Generalization in Federated Learning?
ICLR 2022
Sharp Bounds for Federated Averaging (Local SGD) and Continuous Perspective
AISTATS 2022
Federated Composite Optimization
ICML 2021
Federated Accelerated Stochastic Gradient Descent
NIPS 2020