Hailin Wang
5 papers · 2023–2026 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(10)
Venues
Top co-authors
Research topics
Machine Learning
(4)
Mathematics & Optimization
(3)
Optimization
(3)
Optimization & Theory · Machine Learning
(3)
Artificial Intelligence
(1)
Computer Vision
(1)
Deep Learning
(1)
Core AI
(1)
Core Methods
(1)
Learning Types
(1)
Mathematics
(1)
Optimization & Theory · Deep Learning
(1)
Processing
(1)
Keywords
low-rank recovery
(2)
non-convex optimization
(1)
matrix factorization
(1)
multi-label learning
(1)
global convergence
(1)
video restoration
(1)
low-rank decomposition
(1)
spatial smoothness
(1)
robust principal component analysis
(1)
local smoothness
(1)
label distribution learning
(1)
noisy label
(1)
admm algorithm
(1)
scaled gradient descent
(1)
tensor nuclear norm
(1)
hyperspectral image
(1)
total variation regularization
(1)
subspace method
(1)
tensor recovery
(1)
biased annotation
(1)
Papers
Fast Guaranteed Robust Local-Smooth Principal Component Separation
AAAI 2026
Fast Guaranteed Tensor Recovery with Adaptive Tensor Nuclear Norm
IJCAI 2025
Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning
IJCAI 2025
Preconditioning Matters: Fast Global Convergence of Non-convex Matrix Factorization via Scaled Gradient Descent
NeurIPS 2023
Tensor Compressive Sensing Fused Low-Rankness and Local-Smoothness
AAAI 2023