Erhu He
7 papers · 2022–2025 · 2 venues · across top CS/AI venues
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
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Hot Topic Early Bird
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Research topics
Machine Learning
(7)
Application Areas
(7)
Deep Learning
(3)
Data Science & Analytics
(2)
Applications
(2)
Architectures
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Core Methods
(2)
Optimization & Theory
(2)
Artificial Intelligence
(1)
Core AI
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Learning Paradigms
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Learning Types · Machine Learning
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Learning Types · Deep Learning
(1)
Techniques
(1)
Keywords
spatial fairness
(3)
transfer learning
(2)
bilevel optimization
(2)
graph neural network
(2)
deep learning
(1)
machine learning fairness
(1)
distribution matching
(1)
bayesian network
(1)
recurrent neural network
(1)
spatial data
(1)
node classification
(1)
domain shift
(1)
fair machine learning
(1)
spatio-temporal prediction
(1)
survival model
(1)
crop yield prediction
(1)
spatial heterogeneity
(1)
water quality prediction
(1)
graph sampling
(1)
statistical robustness
(1)
Papers
Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks
AAAI 2025
Fair Graph Learning Using Constraint-Aware Priority Adjustment and Graph Masking in River Networks
AAAI 2024
Referee-Meta-Learning for Fast Adaptation of Locational Fairness
AAAI 2024
CGS: Coupled Growth and Survival Model with Cohort Fairness
IJCAI 2023
Physics Guided Neural Networks for Time-Aware Fairness: An Application in Crop Yield Prediction
AAAI 2023
Fairness by “Where”: A Statistically-Robust and Model-Agnostic Bi-level Learning Framework
AAAI 2022
Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract)
IJCAI 2022