Yi Ouyang
12 papers · 2017–2026 · 4 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (33)
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Century Club Β· Bronze
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Renaissance Researcher
(6)
ποΈ
Keyword Collector
(61)
Venues
Top co-authors
Research topics
Machine Learning
(8)
Artificial Intelligence
(7)
Core AI
(6)
Learning Types
(6)
Reinforcement Learning
(3)
Methods
(3)
Optimization & Theory
(3)
Deep Learning
(2)
Healthcare & Medicine
(2)
Natural Language Processing
(2)
Application Areas
(2)
Clinical
(2)
Core Methods
(2)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Keywords
fraud detection
(4)
multi-agent system
(3)
reinforcement learning
(3)
graph neural network
(3)
multimodal learning
(2)
regret bound
(2)
video recommendation
(2)
large language model
(2)
data poisoning
(1)
online learning
(1)
contrastive learning
(1)
non-convex optimization
(1)
regret analysis
(1)
transfer learning
(1)
risk management
(1)
semi-supervised learning
(1)
multi-agent reinforcement learning
(1)
chain-of-thought reasoning
(1)
incremental learning
(1)
adversarial learning
(1)
Papers
VRAgent-R1: Boosting Video Recommendation with MLLM-based Agents via Reinforcement Learning
AAAI 2026
When Top-ranked Recommendations Fail: Modeling Multi-Granular Negative Feedback for Explainable and Robust Video Recommendation
AAAI 2026
Cooper: Coordinating Specialized Agents towards a Complex Dialogue Goal
AAAI 2024
MedJourney: Benchmark and Evaluation of Large Language Models over Patient Clinical Journey
NeurIPS 2024
Pre-trained Online Contrastive Learning for Insurance Fraud Detection
AAAI 2024
Safeguarding Fraud Detection from Attacks: A Robust Graph Learning Approach
IJCAI 2024
Fighting against Organized Fraudsters Using Risk Diffusion-based Parallel Graph Neural Network
IJCAI 2023
Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation
AAAI 2023
Training a Resilient Q-network against Observational Interference
AAAI 2022
Regret Bounds for Decentralized Learning in Cooperative Multi-Agent Dynamical Systems
UAI 2020
A theory on the absence of spurious solutions for nonconvex and nonsmooth optimization
NeurIPS 2018
Learning Unknown Markov Decision Processes: A Thompson Sampling Approach
NeurIPS 2017