Rundong He
8 papers · 2022–2025 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Taxonomy Completionist
(27)
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Hot Topic Early Bird
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Trend Setter
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Research topics
Machine Learning
(8)
Learning Types · Machine Learning
(7)
Deep Learning
(6)
Core Methods
(4)
Learning Types · Deep Learning
(4)
Artificial Intelligence
(3)
Application Areas
(3)
Optimization & Theory · Machine Learning
(3)
Core AI
(2)
Architectures
(1)
Bayesian & Probabilistic
(1)
Learning Paradigms
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
semi-supervised learning
(3)
source-free domain adaptation
(2)
energy score
(2)
neural network
(2)
transfer learning
(2)
unlabeled data
(2)
unseen class
(2)
out-of-distribution detection
(2)
domain adaptation
(1)
pseudo labeling
(1)
adversarial learning
(1)
model robustness
(1)
class imbalance
(1)
discriminative learning
(1)
feature selection
(1)
feature learning
(1)
bias-variance tradeoff
(1)
bilevel optimization
(1)
bayesian inference
(1)
multi-source domain adaptation
(1)
Papers
Re-Evaluating the Impact of Unseen-Class Unlabeled Data on Semi-Supervised Learning Model
ICLR 2025
Discriminability-Driven Channel Selection for Out-of-Distribution Detection
CVPR 2024
Exploring Channel-Aware Typical Features for Out-of-Distribution Detection
AAAI 2024
Discriminability and Transferability Estimation: A Bayesian Source Importance Estimation Approach for Multi-Source-Free Domain Adaptation
AAAI 2023
MHPL: Minimum Happy Points Learning for Active Source Free Domain Adaptation
CVPR 2023
Not All Parameters Should Be Treated Equally: Deep Safe Semi-supervised Learning under Class Distribution Mismatch
AAAI 2022
Safe-Student for Safe Deep Semi-Supervised Learning With Unseen-Class Unlabeled Data
CVPR 2022
SNAIL: Semi-Separated Uncertainty Adversarial
Learning for Universal Domain Adaptation
ACML 2022