Rundong He
8 papers · 2022–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (4) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (29) π§ Keyword Pioneer π£ Hot Topic Early Bird
π
Cross-Pollinator
(15)
Conferences
AAAI (3)
CVPR (3)
ACML (1)
ICLR (1)
Top co-authors
Keywords
source-free domain adaptation
(2)
neural network
(2)
out-of-distribution detection
(2)
transfer learning
(2)
semi-supervised learning
(2)
energy score
(2)
domain adaptation
(1)
pseudo labeling
(1)
adversarial learning
(1)
feature selection
(1)
feature learning
(1)
class imbalance
(1)
discriminative learning
(1)
parameter optimization
(1)
label distribution learning
(1)
bayesian inference
(1)
multi-source domain adaptation
(1)
bi-level optimization
(1)
uncertainty estimation
(1)
computer vision
(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
MHPL: Minimum Happy Points Learning for Active Source Free Domain Adaptation
CVPR 2023
Discriminability and Transferability Estimation: A Bayesian Source Importance Estimation Approach for Multi-Source-Free Domain Adaptation
AAAI 2023
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
Not All Parameters Should Be Treated Equally: Deep Safe Semi-supervised Learning under Class Distribution Mismatch
AAAI 2022