Yongkai Chen

According to our database1, Yongkai Chen authored at least 12 papers between 2021 and 2026.

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Bibliography

2026
Multi-Teacher Knowledge Distillation via Teacher-Informed Mixture Priors.
CoRR, May, 2026

Wahkon: A Statistically Principled Deep RKHS Superposition Network.
CoRR, May, 2026

Knowledge distillation and dataset distillation of large language models: emerging trends, challenges, and future directions.
Artif. Intell. Rev., January, 2026

2025
Classifying Metamorphic versus Single-Fold Proteins with Statistical Learning and AlphaFold2.
CoRR, December, 2025

Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges.
CoRR, July, 2025

S2MNet: Speckle-To-Mesh Net for Three-Dimensional Cardiac Morphology Reconstruction via Echocardiogram.
CoRR, May, 2025

Fluid Correlation: A Novel Nonparametric Metric to Assess the Dynamic Association.
J. Comput. Graph. Stat., 2025

2024
Orthogonal multimodality integration and clustering in single-cell data.
BMC Bioinform., December, 2024

Bayesian Knowledge Distillation: A Bayesian Perspective of Distillation with Uncertainty Quantification.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2022
Smoothing Splines Approximation Using Hilbert Curve Basis Selection.
J. Comput. Graph. Stat., July, 2022

Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms.
J. Mach. Learn. Res., 2022

2021
Ensemble machine learning approach for screening of coronary heart disease based on echocardiography and risk factors.
BMC Medical Informatics Decis. Mak., 2021


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