Xiaokui Xiao
16 papers · 2016–2025 · 8 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (13) 🏃 Academic Marathon (9) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (8) 🌈 Renaissance Researcher (5)
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Academic Marathon
(9)
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Interdisciplinary Bridge
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Cross-Pollinator
(13)
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(5)
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(16)
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(6)
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Keyword Collector
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Conferences
NIPS (5)
ICML (4)
AAAI (2)
COLT (1)
EMNLP (1)
ICCV (1)
ICLR (1)
NAACL (1)
Top co-authors
Keywords
multi-armed bandit
(8)
regret bound
(5)
thompson sampling
(3)
best arm identification
(2)
graph neural network
(2)
sample complexity
(2)
bayesian inference
(2)
minimax optimality
(2)
long-range dependency
(2)
batch complexity
(2)
node classification
(2)
image reconstruction
(2)
regret minimization
(1)
multiscale modeling
(1)
social network analysis
(1)
adaptive sampling
(1)
data augmentation
(1)
robust optimization
(1)
posterior sampling
(1)
closed-form solution
(1)
Papers
Hyperparametric Robust and Dynamic Influence Maximization
AAAI 2025
Scalable and Effective Implicit Graph Neural Networks on Large Graphs
ICLR 2024
Optimal Batched Best Arm Identification
NIPS 2024
Thompson Sampling with Less Exploration is Fast and Optimal
ICML 2023
MGNNI: Multiscale Graph Neural Networks with Implicit Layers
NIPS 2022
Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits
NIPS 2022
A Fusion-Denoising Attack on InstaHide with Data Augmentation
AAAI 2022
Dangling-Aware Entity Alignment with Mixed High-Order Proximities
NAACL 2022
MOTS: Minimax Optimal Thompson Sampling
ICML 2021
EIGNN: Efficient Infinite-Depth Graph Neural Networks
NIPS 2021
Double Explore-then-Commit: Asymptotic Optimality and Beyond
COLT 2021
Exploiting Explanations for Model Inversion Attacks
ICCV 2021
Optimal Streaming Algorithms for Multi-Armed Bandits
ICML 2021
Almost Optimal Anytime Algorithm for Batched Multi-Armed Bandits
ICML 2021
Efficient Pure Exploration in Adaptive Round model
NIPS 2019
Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis
EMNLP 2016