Xingrui Yu
8 papers · 2018–2026 · 5 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (23)
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Grand Slam
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The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(5)
Learning Types · Machine Learning
(5)
Reinforcement Learning
(4)
Methods
(4)
Artificial Intelligence
(3)
Deep Learning
(3)
Core AI
(3)
Applications · Reinforcement Learning
(2)
Learning Types · Deep Learning
(2)
Data Science & Analytics
(1)
Robotics
(1)
Application Areas
(1)
Applications · Data Science & Analytics
(1)
Architectures
(1)
Capabilities
(1)
Keywords
imitation learning
(3)
noisy label
(2)
deep neural network
(2)
sample efficiency
(1)
self-supervised learning
(1)
inverse reinforcement learning
(1)
policy optimization
(1)
gradient descent
(1)
robust learning
(1)
multi-objective optimization
(1)
generative model
(1)
proximal policy optimization
(1)
atari game
(1)
generative adversarial network
(1)
expert demonstration
(1)
label noise
(1)
exploration strategy
(1)
exploration bonus
(1)
intrinsic reward
(1)
reinforcement learning
(1)
Papers
From Language to Driving: A Dual-Loop SLM-Enhanced Framework for Multi-Planner Scheduling via a Domain-Specific Language
ACL 2026
Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration
ICLR 2025
Diversifying Policy Behaviors with Extrinsic Behavioral Curiosity
ICML 2025
POI Recommendation via Multi-Objective Adversarial Imitation Learning
AAAI 2025
Intrinsic Reward Driven Imitation Learning via Generative Model
ICML 2020
SIGUA: Forgetting May Make Learning with Noisy Labels More Robust
ICML 2020
How does Disagreement Help Generalization against Label Corruption?
ICML 2019
Co-teaching: Robust training of deep neural networks with extremely noisy labels
NeurIPS 2018