Wenhan Xian
9 papers · 2019–2025 · 6 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (15) 🧬 Topic Evolution
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory · Machine Learning
(7)
Mathematics & Optimization
(6)
Optimization
(6)
Deep Learning
(3)
Application Areas
(2)
Optimization & Theory · Deep Learning
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Core AI
(1)
Core Methods
(1)
Learning Paradigms
(1)
Learning Types
(1)
Keywords
non-convex optimization
(4)
variance reduction
(3)
stochastic gradient descent
(3)
decentralized optimization
(3)
minimax optimization
(3)
stochastic optimization
(2)
frank-wolfe algorithm
(2)
saddle point
(2)
communication efficiency
(1)
linear convergence
(1)
proximal gradient
(1)
bilevel optimization
(1)
convergence rate
(1)
gradient compression
(1)
generalized smoothness
(1)
deep metric learning
(1)
decentralized algorithm
(1)
asynchronous learning
(1)
gradient complexity
(1)
second-order stationary point
(1)
Papers
Escaping Saddle Point Efficiently in Minimax and Bilevel Optimizations
IJCAI 2025
Delving into the Convergence of Generalized Smooth Minimax Optimization
ICML 2024
Finding Local Minima Efficiently in Decentralized Optimization
NeurIPS 2023
Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization
IJCAI 2022
A Faster Decentralized Algorithm for Nonconvex Minimax Problems
NeurIPS 2021
Communication-Efficient Frank-Wolfe Algorithm for Nonconvex Decentralized Distributed Learning
AAAI 2021
Learning Better Visual Data Similarities via New Grouplet Non-Euclidean Embedding
ICCV 2021
A Unified q-Memorization Framework for Asynchronous Stochastic Optimization
JMLR 2020
Asynchronous Stochastic Frank-Wolfe Algorithms for Non-Convex Optimization
IJCAI 2019