Wenjing Liao
9 papers · 2019–2025 · 3 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (3) π Academic Marathon (6) π Cross-Pollinator (10)
πΊοΈ
Taxonomy Completionist
(14)
π
Interdisciplinary Bridge
π
Keyword Champion
(2)
π§¬
Topic Evolution
π₯
Unstoppable
(5)
Conferences
ICML (3)
JMLR (3)
NIPS (3)
Top co-authors
Keywords
function approximation
(5)
deep neural network
(3)
manifold learning
(3)
approximation theory
(3)
nonparametric estimation
(2)
convolutional residual network
(2)
manifold hypothesis
(2)
generalization error
(2)
relu network
(2)
sample complexity
(2)
geometric analysis
(1)
intrinsic dimension
(1)
nonparametric regression
(1)
neural network theory
(1)
adversarial robustness
(1)
neural network optimization
(1)
distribution learning
(1)
wavelet transform
(1)
approximation error
(1)
curse of dimensionality
(1)
Papers
Deep Neural Networks are Adaptive to Function Regularity and Data Distribution in Approximation and Estimation
JMLR 2025
Deep Nonparametric Estimation of Operators between Infinite Dimensional Spaces
JMLR 2024
Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional Data
NIPS 2024
Effective Minkowski Dimension of Deep Nonparametric Regression: Function Approximation and Statistical Theories
ICML 2023
Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint
ICML 2022
On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds
NIPS 2022
Besov Function Approximation and Binary Classification on Low-Dimensional Manifolds Using Convolutional Residual Networks
ICML 2021
Adaptive Geometric Multiscale Approximations for Intrinsically Low-dimensional Data
JMLR 2019
Efficient Approximation of Deep ReLU Networks for Functions on Low Dimensional Manifolds
NIPS 2019