Xiaorui Liu
19 papers · 2020–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (28) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Triple Crown
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Grand Slam
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Dynamic Duo
(10)
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Deep Specialist
(10)
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
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The Questioner
ποΈ
Keyword Collector
(78)
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Prolific Year Β· Productive
Top co-authors
Research topics
Machine Learning
(19)
Deep Learning
(13)
Application Areas
(12)
Architectures
(10)
Learning Types
(7)
Core Methods
(6)
Artificial Intelligence
(5)
Core AI
(5)
Optimization & Theory Β· Machine Learning
(5)
Computer Vision
(2)
Optimization & Theory Β· Deep Learning
(2)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Analysis
(1)
Applications
(1)
Keywords
graph neural network
(11)
adversarial robustness
(5)
representation learning
(4)
node classification
(3)
semi-supervised learning
(3)
graph representation learning
(2)
semi-supervised node classification
(2)
message passing
(2)
adversarial attack
(2)
robust optimization
(1)
attention mechanism
(1)
self-supervised learning
(1)
stochastic gradient descent
(1)
robust statistics
(1)
generative modeling
(1)
image generation
(1)
decentralized optimization
(1)
image classification
(1)
efficient inference
(1)
feature transformation
(1)
Papers
Harnessing Robust Statistics for Trustworthy AI
AAAI 2025
Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks
ICML 2025
Modulated Diffusion: Accelerating Generative Modeling with Modulated Quantization
ICML 2025
Rethinking Large Language Model Architectures for Sequential Recommendations
IJCNLP 2025
Robustness Reprogramming for Representation Learning
ICLR 2025
Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing
NeurIPS 2024
ProTransformer: Robustify Transformers via Plug-and-Play Paradigm
NeurIPS 2024
Robust Graph Neural Networks via Unbiased Aggregation
NeurIPS 2024
Structural Fairness-aware Active Learning for Graph Neural Networks
ICLR 2024
Alternately Optimized Graph Neural Networks
ICML 2023
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation
ICML 2023
Towards Label Position Bias in Graph Neural Networks
NeurIPS 2023
Automated Self-Supervised Learning for Graphs
ICLR 2022
Is Homophily a Necessity for Graph Neural Networks?
ICLR 2022
Elastic Graph Neural Networks
ICML 2021
Graph Neural Networks with Adaptive Residual
NeurIPS 2021
Linear Convergent Decentralized Optimization with Compression
ICLR 2021
To be Robust or to be Fair: Towards Fairness in Adversarial Training
ICML 2021
A Double Residual Compression Algorithm for Efficient Distributed Learning
AISTATS 2020