Yipei Wang
11 papers · 2021–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π Cross-Pollinator (13) π§ Keyword Pioneer π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (18)
π§
Keyword Pioneer
π
Triple Crown
π
Grand Slam
π
Century Club
(10)
β‘
Prolific Year
(5)
π
Conference Pioneer
β
The Questioner
Conferences
NIPS (3)
ICLR (2)
MICCAI (2)
AAAI (1)
AISTATS (1)
ICML (1)
MIDL (1)
Top co-authors
Keywords
deep neural network
(2)
feature attribution
(2)
learning theory
(1)
catastrophic forgetting
(1)
domain generalization
(1)
ensemble learning
(1)
convergence analysis
(1)
neural network optimization
(1)
theoretical analysis
(1)
model interpretability
(1)
covariate shift
(1)
saliency map
(1)
foundation model
(1)
input salience
(1)
model convergence
(1)
spurious correlation
(1)
interpretable model
(1)
recommender system
(1)
model interpretation
(1)
deep ensemble
(1)
Papers
What Fine-Tuning Changes: A Radiomic Lens on Prostate Foundation Model Representations
MIDL 2026
Analysis of Image-and-Text Uncertainty Propagation in Multimodal Large Language Models with Cardiac MR-Based Applications
MICCAI 2025
Agree to Disagree: Demystifying Homogeneous Deep Ensembles through Distributional Equivalence
ICLR 2025
LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application
AAAI 2025
Poisson Ordinal Network for Gleason Group Estimation Using Bi-Parametric MRI
MICCAI 2024
Debiasing Attention Mechanism in Transformer without Demographics
ICLR 2024
Great Minds Think Alike: The Universal Convergence Trend of Input Salience
NIPS 2024
On the Effect of Key Factors in Spurious Correlation: A theoretical Perspective
AISTATS 2024
Benchmarking Deletion Metrics with the Principled Explanations
ICML 2024
βWhy Not Other Classes?β: Towards Class-Contrastive Back-Propagation Explanations
NIPS 2022
Self-Interpretable Model with Transformation Equivariant Interpretation
NIPS 2021