Zhixuan Fang
11 papers · 2019–2025 · 5 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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๐ Academic Marathon ยท Sprint ๐ Interdisciplinary Bridge ยท Bronze ๐บ๏ธ Taxonomy Completionist (28) ๐ Conference Polyglot ยท Silver ๐๏ธ Keyword Collector (70)
โก
Prolific Year ยท Productive
๐
Conference Pioneer
๐
Century Club ยท Bronze
Venues
Top co-authors
Research topics
Machine Learning
(8)
Mathematics & Optimization
(6)
Optimization
(6)
Learning Types
(5)
Optimization & Theory
(5)
Artificial Intelligence
(3)
Core AI
(3)
Reinforcement Learning
(2)
Applications
(2)
Deep Learning
(1)
Natural Language Processing
(1)
Application Areas
(1)
Core Methods
(1)
Methods
(1)
Models
(1)
Keywords
multi-armed bandit
(6)
regret bound
(5)
large language model
(2)
deep reinforcement learning
(1)
risk-aware learning
(1)
online decision making
(1)
factual knowledge
(1)
markov decision process
(1)
regret minimization
(1)
counterfactual regret minimization
(1)
covariance modeling
(1)
single-pass algorithm
(1)
best arm identification
(1)
upper confidence bound
(1)
hierarchical reinforcement learning
(1)
reinforcement learning
(1)
online algorithm
(1)
streaming algorithm
(1)
linear constraint
(1)
stochastic optimization
(1)
Papers
Linear Streaming Bandit: Regret Minimization and Fixed-Budget Epsilon-Best Arm Identification
AAAI 2025
User-side Model Consistency Monitoring for Open Source Large Language Models Inference Services
ACL 2025
Decentralized Scheduling with QoS Constraints: Achieving O(1) QoS Regret of Multi-Player Bandits
AAAI 2024
Decentralized Two-Sided Bandit Learning in Matching Market
UAI 2024
On Multi-Armed Bandit with Impatient Arms
ICML 2024
RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning
ICML 2024
The Earth is Flat because...: Investigating LLMsโ Belief towards Misinformation via Persuasive Conversation
ACL 2024
Combinatorial Bandits with Linear Constraints: Beyond Knapsacks and Fairness
NeurIPS 2022
Matching in Multi-arm Bandit with Collision
NeurIPS 2022
Continuous Mean-Covariance Bandits
NeurIPS 2021
A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems
AAAI 2019