HanQin Cai
6 papers · 2019–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(15)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(5)
Mathematics & Optimization
(5)
Optimization
(4)
Optimization & Theory · Machine Learning
(4)
Deep Learning
(3)
Core Methods
(2)
Learning Types · Deep Learning
(2)
Mathematics
(2)
Optimization & Theory · Deep Learning
(2)
Artificial Intelligence
(1)
Application Areas
(1)
Core AI
(1)
Learning Types · Machine Learning
(1)
Keywords
robust principal component analysis
(2)
black-box optimization
(1)
neural network optimization
(1)
out-of-distribution generalization
(1)
tensor decomposition
(1)
low-rank approximation
(1)
outlier detection
(1)
matrix approximation
(1)
low-rank matrix
(1)
low-rank matrix recovery
(1)
query complexity
(1)
block coordinate descent
(1)
cur decomposition
(1)
sparse matrix
(1)
matrix recovery
(1)
adversarial attack
(1)
optimization algorithm
(1)
zeroth-order optimization
(1)
update rule
(1)
adversarial example
(1)
Papers
Guarantees of a Preconditioned Subgradient Algorithm for Overparameterized Asymmetric Low-rank Matrix Recovery
ICML 2025
Towards Constituting Mathematical Structures for Learning to Optimize
ICML 2023
A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization
ICML 2021
Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection
NeurIPS 2021
Mode-wise Tensor Decompositions: Multi-dimensional Generalizations of CUR Decompositions
JMLR 2021
Accelerated Alternating Projections for Robust Principal Component Analysis
JMLR 2019