Jialun Zhang
5 papers · 2020–2024 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot Β· Bronze
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Interdisciplinary Bridge Β· Silver
πΊοΈ
Taxonomy Completionist
(15)
π£
Hot Topic Early Bird
β
The Questioner
Venues
Top co-authors
Research topics
Keywords
non-convex optimization
(3)
matrix completion
(2)
gradient descent
(2)
low-rank matrix recovery
(2)
sample complexity
(1)
image synthesis
(1)
image translation
(1)
image denoising
(1)
online optimization
(1)
low-rank matrix
(1)
optimization landscape
(1)
generative model
(1)
convergence rate
(1)
matrix sensing
(1)
virtual try-on
(1)
local minimum
(1)
restricted isometry constant
(1)
iterative convergence
(1)
stochastic gradient descent
(1)
regional mask
(1)
Papers
Fast and Accurate Estimation of Low-Rank Matrices from Noisy Measurements via Preconditioned Non-Convex Gradient Descent
AISTATS 2024
Accelerating SGD for Highly Ill-Conditioned Huge-Scale Online Matrix Completion
NeurIPS 2022
RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on
IJCAI 2022
Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization
NeurIPS 2021
How many samples is a good initial point worth in Low-rank Matrix Recovery?
NeurIPS 2020