Yaoliang Yu
68 papers
· 2009–2026
· 13 conferences
· across top CS/AI conferences
Achievements
π§
Keyword Pioneer
π
Renaissance Researcher
(9)
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Cross-Pollinator
(6)
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Academic Marathon
(16)
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Conference Polyglot
(13)
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Interdisciplinary Bridge
π£
Hot Topic Early Bird
πΊοΈ
Taxonomy Completionist
(22)
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Keyword Trendsetter Combo
(7)
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Conference Loyalist
(22)
π¬
Deep Specialist
(10)
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Grand Slam
π±
Topic Pioneer
π
Triple Crown
π
Keyword Champion
(2)
π₯
Unstoppable
(14)
β‘
Prolific Year
(5)
π
Conference Pioneer
π
Trend Setter
π
Century Club
(67)
β
The Questioner
(3)
ποΈ
Keyword Collector
(107)
Conferences
NIPS (22)
ICML (15)
AISTATS (7)
ICLR (5)
ACL (4)
EMNLP (3)
JMLR (3)
AAAI (2)
CVPR (2)
IJCNLP (2)
EACL (1)
IJCAI (1)
NAACL (1)
Top co-authors
Keywords
convex optimization
(9)
model compression
(6)
gradient descent
(5)
density estimation
(4)
conditional gradient
(4)
proximal gradient
(4)
early exiting
(3)
semi-supervised learning
(3)
matrix completion
(3)
proximal maps
(3)
stochastic optimization
(2)
bregman divergence
(2)
image segmentation
(2)
metric learning
(2)
unsupervised learning
(2)
early exit
(2)
dimensionality reduction
(2)
adversarial robustness
(2)
neural network interpretability
(2)
robust regression
(2)
Papers
Diffusion Models under Group Transformations
AISTATS 2025
Tails of Lipschitz Triangular Flows
ICML 2020
Least Squares Estimation of Weakly Convex Functions
AISTATS 2019
Sum-of-Squares Polynomial Flow
ICML 2019
Scalable and Sound Low-Rank Tensor Learning
AISTATS 2016
Minimizing Nonconvex Non-Separable Functions
AISTATS 2015
On Decomposing the Proximal Map
NIPS 2013
Characterizing the Representer Theorem
ICML 2013
Convex Multi-view Subspace Learning
NIPS 2012