Yingzhen Yang
25 papers · 2014–2026 · 11 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (55) π Conference Polyglot Β· Gold π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Keyword Champion
(2)
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Renaissance Researcher
(5)
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Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Keyword Collector
(124)
Venues
Top co-authors
Research topics
Machine Learning
(18)
Deep Learning
(13)
Core Methods
(11)
Learning Types Β· Deep Learning
(7)
Computer Vision
(6)
Mathematics & Optimization
(6)
Optimization & Theory
(6)
Architectures
(5)
Application Areas
(4)
Learning Types Β· Machine Learning
(4)
Optimization
(4)
Artificial Intelligence
(3)
Core AI
(3)
Analysis
(2)
Mathematics
(2)
Keywords
convolutional neural network
(3)
information bottleneck
(3)
proximal gradient descent
(3)
neural architecture search
(2)
graph neural network
(2)
neural network
(2)
diffusion model
(2)
generalization error
(2)
dimensionality reduction
(2)
sparse subspace clustering
(2)
data clustering
(2)
minimax optimal rate
(2)
non-convex optimization
(2)
thorax disease classification
(2)
transductive learning
(2)
weight sharing
(2)
channel attention
(2)
robust regression
(1)
feature learning
(1)
model quantization
(1)
Papers
Graph Contrastive Learning with Low-Rank Regularization and Low-Rank Attention for Noisy Node Classification
UAI 2026
Learning Informative Attention Weights for Person Re-Identification
UAI 2026
Shallow Neural Networks Learn Low-Degree Spherical Polynomials with Feature Learning by Learnable Channel Attention
ALT 2026
A New Concentration Inequality for Sampling Without Replacement and Its Application for Transductive Learning
ICML 2025
Deep Geometric Moments Promote Shape Consistency in Text-to-3D Generation
WACV 2025
Informative Synthetic Data Generation for Thorax Disease Classification
UAI 2025
Sharp Generalization for Nonparametric Regression by Over-Parameterized Neural Networks: A Distribution-Free Analysis in Spherical Covariate
ICML 2025
Sketching for Convex and Nonconvex Regularized Least Squares with Sharp Guarantees
ICLR 2025
Learning Low-Rank Feature for Thorax Disease Classification
NeurIPS 2024
Neural Architecture Search Finds Robust Models by Knowledge Distillation
UAI 2024
RecMind: Large Language Model Powered Agent For Recommendation
NAACL 2024
Visual Transformer with Differentiable Channel Selection: An Information Bottleneck Inspired Approach
ICML 2024
Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning
AAAI 2023
Locally Regularized Sparse Graph by Fast Proximal Gradient Descent
UAI 2023
Projective Proximal Gradient Descent for Nonconvex Nonsmooth Optimization: Fast Convergence Without Kurdyka-Lojasiewicz (KL) Property
ICLR 2023
Discriminative Similarity for Data Clustering
ICLR 2022
Noisy L0-sparse subspace clustering on dimensionality reduced data
UAI 2022
FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary
ICLR 2020
Fast Proximal Gradient Descent for A Class of Non-convex and Non-smooth Sparse Learning Problems
UAI 2019
Dimensionality Reduced β^0-Sparse Subspace Clustering
AISTATS 2018
WSNet: Compact and Efficient Networks Through Weight Sampling
ICML 2018
D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images
CVPR 2016
Studying Very Low Resolution Recognition Using Deep Networks
CVPR 2016
A Joint Optimization Framework of Sparse Coding and Discriminative Clustering
IJCAI 2015
On a Theory of Nonparametric Pairwise Similarity for Clustering: Connecting Clustering to Classification
NeurIPS 2014