Jinhang Zuo
13 papers · 2020–2026 · 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
Jump to papers ↓+6 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (22) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π Grand Slam
π
Grand Slam
ποΈ
Keyword Collector
(51)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Renaissance Researcher
(5)
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(12)
Optimization & Theory
(10)
Mathematics & Optimization
(8)
Optimization
(8)
Learning Types
(6)
Artificial Intelligence
(5)
Core AI
(5)
Computer Science
(1)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Foundations
(1)
Learning Paradigms
(1)
Methods
(1)
Resources & Methods
(1)
Keywords
multi-armed bandit
(8)
regret bound
(8)
online learning
(3)
combinatorial multi-armed bandit
(3)
contextual bandit
(2)
combinatorial optimization
(2)
adversarial attack
(2)
stochastic optimization
(2)
stochastic bandit
(2)
online algorithm
(2)
influence maximization
(1)
approximation algorithm
(1)
sublinear regret
(1)
adversarial corruption
(1)
offline learning
(1)
reward feedback
(1)
cooperative learning
(1)
combinatorial bandit
(1)
combinatorial semi-bandit
(1)
multi-agent learning
(1)
Papers
Online Multi-LLM Selection via Contextual Bandits Under Unstructured Context Evolution
AAAI 2026
Fusing Reward and Dueling Feedback in Stochastic Bandits
ICML 2025
Heterogeneous Multi-Agent Bandits with Parsimonious Hints
AAAI 2025
Multi-agent Stochastic Bandits Robust to Adversarial Corruptions
L4DC 2025
Offline Learning for Combinatorial Multi-armed Bandits
ICML 2025
Stochastic Bandits Robust to Adversarial Attacks
ICLR 2025
Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond
ICML 2024
Adversarial Attacks on Online Learning to Rank with Click Feedback
NeurIPS 2023
Contextual Combinatorial Bandits with Probabilistically Triggered Arms
ICML 2023
Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms
NeurIPS 2022
Online Competitive Influence Maximization
AISTATS 2022
Multi-layered Network Exploration via Random Walks: From Offline Optimization to Online Learning
ICML 2021
Observe Before Play: Multi-Armed Bandit with Pre-Observations
AAAI 2020