Guo Ye
6 papers · 2020–2025 · 6 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (17) π£ Hot Topic Early Bird
π
Grand Slam
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Research topics
Machine Learning
(5)
Application Areas
(4)
Artificial Intelligence
(3)
Deep Learning
(2)
Reinforcement Learning
(2)
Applications
(2)
Core AI
(2)
Core Methods
(2)
Learning Types Β· Machine Learning
(2)
Architectures
(1)
Learning Paradigms
(1)
Learning Types Β· Deep Learning
(1)
Optimization & Theory
(1)
Techniques
(1)
Keywords
path planning
(2)
continual learning
(1)
sample efficiency
(1)
robot navigation
(1)
noisy label learning
(1)
knowledge transfer
(1)
unsupervised domain adaptation
(1)
neural architecture
(1)
label noise
(1)
exploration exploitation
(1)
outlier removal
(1)
label aggregation
(1)
collaborative learning
(1)
sample selection
(1)
node embedding
(1)
low-rank adaptation
(1)
noisy label
(1)
noise filtering
(1)
domain shift
(1)
graph domain adaptation
(1)
Papers
Fast and Low-Cost Genomic Foundation Models via Outlier Removal
ICML 2025
Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation
AAAI 2025
Collaborative Refining for Learning from Inaccurate Labels
NeurIPS 2024
POA: Pre-training Once for Models of All Sizes
ECCV 2024
RoboFlow: a Data-centric Workflow Management System for Developing AI-enhanced Robots
CoRL 2021
Learning to Plan in High Dimensions via Neural Exploration-Exploitation Trees
ICLR 2020