Hong Xie
15 papers · 2018–2026 · 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 (29) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§¬
Topic Evolution
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Renaissance Researcher
(6)
π₯
Unstoppable Β· Bronze
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Conference Pioneer
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Century Club Β· Bronze
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Keyword Collector
(74)
Top co-authors
Research topics
Machine Learning
(11)
Artificial Intelligence
(8)
Core AI
(7)
Mathematics & Optimization
(6)
Optimization
(6)
Optimization & Theory
(5)
Learning Types
(4)
Data Science & Analytics
(3)
Reinforcement Learning
(3)
Applications
(3)
Core Methods
(3)
Methods
(3)
Natural Language Processing
(2)
Deep Learning
(1)
Interdisciplinary
(1)
Keywords
regret bound
(5)
multi-armed bandit
(4)
resource allocation
(3)
upper confidence bound
(2)
stochastic bandit
(2)
sample complexity
(2)
recommender system
(2)
combinatorial optimization
(2)
online learning
(2)
product quality
(2)
contextual bandit
(2)
markov chain
(1)
maximum likelihood
(1)
off-policy learning
(1)
function approximation
(1)
deep reinforcement learning
(1)
matrix perturbation
(1)
hierarchical reinforcement learning
(1)
intrinsic motivation
(1)
ucb algorithm
(1)
Papers
Multiple-play Stochastic Bandits with Prioritized Arm Capacity Sharing
AAAI 2026
Revisiting Fairness-aware Interactive Recommendation: Item Lifecycle as a Control Knob
AAAI 2026
Exploring the Choice Behavior of Large Language Models
ACL 2025
Multi-play Multi-armed Bandits with Shareable Arm Capacities Revisited: Settling Scarce Capacity
ACML 2025
Adaptive Order Q-learning
IJCAI 2024
Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users
AAAI 2024
Understanding and Patching Compositional Reasoning in LLMs
ACL 2024
Uncertainty-Aware Instance Reweighting for Off-Policy Learning
NeurIPS 2023
An Online Learning Approach to Sequential User-Centric Selection Problems
AAAI 2022
Multi-Player Multi-Armed Bandits with Finite Shareable Resources Arms: Learning Algorithms & Applications
IJCAI 2022
Multiple-Play Stochastic Bandits with Shareable Finite-Capacity Arms
ICML 2022
Robust Contextual Bandits via Bootstrapping
AAAI 2021
Optimizing Discount and Reputation Trade-Offs in E-Commerce Systems: Characterization and Online Learning
AAAI 2019
Understanding Persuasion Cascades in Online Product Rating Systems
AAAI 2019
Modeling the Assimilation-Contrast Effects in Online Product Rating Systems: Debiasing and Recommendations
IJCAI 2018