Jun Shu
7 papers · 2019–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (5) π Academic Marathon (6)
π
Cross-Pollinator
(13)
πΊοΈ
Taxonomy Completionist
(19)
Conferences
ICML (2)
NIPS (2)
AAAI (1)
ICCV (1)
JMLR (1)
Top co-authors
Keywords
noisy label
(2)
label noise
(2)
meta learning
(2)
probabilistic modeling
(1)
domain generalization
(1)
variational inference
(1)
transfer learning
(1)
multi-label learning
(1)
hyperparameter optimization
(1)
noisy label learning
(1)
weakly supervised learning
(1)
in-context learning
(1)
text generation
(1)
class imbalance
(1)
multi-output regression
(1)
semantic space
(1)
noise robustness
(1)
deep neural network
(1)
soft label
(1)
few-shot segmentation
(1)
Papers
Improving Memory Efficiency for Training KANs via Meta Learning
ICML 2025
On the Noise Robustness of In-Context Learning for Text Generation
NIPS 2024
Dual Meta-Learning with Longitudinally Consistent Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan
ICCV 2023
Learning an Explicit Hyper-parameter Prediction Function Conditioned on Tasks
JMLR 2023
Learning to Purify Noisy Labels via Meta Soft Label Corrector
AAAI 2021
Variational Label Enhancement
ICML 2020
Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting
NIPS 2019