Xiaokui Xiao
16 papers · 2016–2025 · 8 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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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (32) π Academic Marathon Β· Sprint π£ Hot Topic Early Bird π Conference Polyglot Β· Silver
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Grand Slam
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Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
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Keyword Collector
(70)
Top co-authors
Research topics
Machine Learning
(15)
Learning Types Β· Machine Learning
(9)
Optimization & Theory
(9)
Mathematics & Optimization
(7)
Optimization
(7)
Artificial Intelligence
(5)
Deep Learning
(4)
Core Methods
(4)
Application Areas
(3)
Architectures
(3)
Bayesian & Probabilistic
(3)
Core AI
(3)
Learning Types Β· Deep Learning
(3)
Knowledge & Reasoning
(1)
Representation
(1)
Keywords
multi-armed bandit
(8)
regret bound
(5)
graph neural network
(3)
thompson sampling
(3)
long-range dependency
(3)
sample complexity
(2)
batch complexity
(2)
bayesian inference
(2)
image reconstruction
(2)
round complexity
(2)
best arm identification
(2)
minimax optimality
(2)
node classification
(2)
posterior distribution
(1)
regret minimization
(1)
social network analysis
(1)
adaptive sampling
(1)
data augmentation
(1)
robust optimization
(1)
posterior sampling
(1)
Papers
Hyperparametric Robust and Dynamic Influence Maximization
AAAI 2025
Optimal Batched Best Arm Identification
NeurIPS 2024
Scalable and Effective Implicit Graph Neural Networks on Large Graphs
ICLR 2024
Thompson Sampling with Less Exploration is Fast and Optimal
ICML 2023
A Fusion-Denoising Attack on InstaHide with Data Augmentation
AAAI 2022
Dangling-Aware Entity Alignment with Mixed High-Order Proximities
NAACL 2022
Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits
NeurIPS 2022
MGNNI: Multiscale Graph Neural Networks with Implicit Layers
NeurIPS 2022
Almost Optimal Anytime Algorithm for Batched Multi-Armed Bandits
ICML 2021
Double Explore-then-Commit: Asymptotic Optimality and Beyond
COLT 2021
EIGNN: Efficient Infinite-Depth Graph Neural Networks
NeurIPS 2021
Exploiting Explanations for Model Inversion Attacks
ICCV 2021
MOTS: Minimax Optimal Thompson Sampling
ICML 2021
Optimal Streaming Algorithms for Multi-Armed Bandits
ICML 2021
Efficient Pure Exploration in Adaptive Round model
NeurIPS 2019
Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis
EMNLP 2016