GUOJUN XIONG
16 papers · 2022–2026 · 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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(10)
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Renaissance Researcher
(6)
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(73)
Venues
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Research topics
Machine Learning
(12)
Learning Types
(8)
Artificial Intelligence
(7)
Optimization & Theory
(7)
Reinforcement Learning
(5)
Core AI
(5)
Mathematics & Optimization
(4)
Methods
(4)
Optimization
(4)
Deep Learning
(2)
Application Areas
(2)
Applications
(2)
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(2)
Learning Paradigms Β· Artificial Intelligence
(2)
Data Science & Analytics
(1)
Keywords
restless multi-armed bandit
(6)
regret bound
(5)
large language model
(4)
reinforcement learning
(4)
markov decision process
(3)
online learning
(2)
index policy
(2)
restless bandit
(2)
stock trading
(2)
linear convergence speedup
(2)
decentralized learning
(2)
shared representation
(2)
risk management
(2)
multimodal learning
(1)
text generation
(1)
question answering
(1)
information extraction
(1)
policy optimization
(1)
preference learning
(1)
resource allocation
(1)
Papers
MultiFinBen: Benchmarking Large Language Models for Multilingual and Multimodal Financial Application
ACL 2026
VORTEX: Aligning Task Utility and Human Preferences Through LLM-Guided Reward Shaping
AAAI 2026
Decentralized Federated Learning with Model Caching on Mobile Agents
AAAI 2025
DOPL: Direct Online Preference Learning for Restless Bandits with Preference Feedback
ICLR 2025
FLAG-TRADER: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading
ACL 2025
On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations
ICLR 2025
Optimizing Vital Sign Monitoring in Resource-Constrained Maternal Care: An RL-Based Restless Bandit Approach
AAAI 2025
DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations
AAAI 2024
FinBen: A Holistic Financial Benchmark for Large Language Models
NeurIPS 2024
FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making
NeurIPS 2024
Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints
AAAI 2024
Provably Efficient Reinforcement Learning for Adversarial Restless Multi-Armed Bandits with Unknown Transitions and Bandit Feedback
ICML 2024
Decentralized Stochastic Multi-Player Multi-Armed Walking Bandits
AAAI 2023
Finite-Time Analysis of Whittle Index based Q-Learning for Restless Multi-Armed Bandits with Neural Network Function Approximation
NeurIPS 2023
Learning Infinite-Horizon Average-Reward Restless Multi-Action Bandits via Index Awareness
NeurIPS 2022
Reinforcement Learning Augmented Asymptotically Optimal Index Policy for Finite-Horizon Restless Bandits
AAAI 2022