Yiliang Zhang
6 papers · 2020–2024 · 5 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(17)
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Machine Learning
(5)
Artificial Intelligence
(3)
Core AI
(3)
Mathematics & Optimization
(2)
Application Areas
(2)
Core Methods
(2)
Learning Types · Machine Learning
(2)
Deep Learning
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Mathematics
(1)
Optimization
(1)
Optimization & Theory
(1)
Keywords
label noise
(2)
federated learning
(1)
algorithmic fairness
(1)
noisy label learning
(1)
knowledge distillation
(1)
class imbalance
(1)
hypothesis testing
(1)
coordinate descent
(1)
linear regression
(1)
projected gradient descent
(1)
graphical model
(1)
sample selection
(1)
neural collapse
(1)
gradient flow
(1)
noisy label
(1)
long-tailed distribution
(1)
noisy label detection
(1)
missing data
(1)
client aggregation
(1)
label noise learning
(1)
Papers
Federated Learning with Extremely Noisy Clients via Negative Distillation
AAAI 2024
Label-Noise Learning with Intrinsically Long-Tailed Data
ICCV 2023
An Unconstrained Layer-Peeled Perspective on Neural Collapse
ICLR 2022
Assessing Fairness in the Presence of Missing Data
NeurIPS 2021
Efficient Designs Of SLOPE Penalty Sequences In Finite Dimension
AISTATS 2021
Inference of Dynamic Graph Changes for Functional Connectome
AISTATS 2020