Author

Feng-Bei Liu

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#machine learning Aug 2023

Bridging Generative and Discriminative Noisy-Label Learning via Direction-Agnostic EM Formulation.

This work proposes a single-stage, EM-style framework for generative noisy-label learning that is direction-agnostic and avoids explicit image synthesis, and introduces Partial-Label Supervision (PLS), an instance specific prior over clean labels that balances coverage and uncertainty, improving data-dependent regulari...

Feng-Bei Liu, Chong Wang, Yuanhong Chen et al. · IEEE Transactions on Pattern... · 2 citations

#machine learning Sep 2026

Benchmarking Active Spot Selection for Cost-Efficient Spatial Transcriptomics.

Spatial transcriptomics (ST) measures gene expression in tissue context, but dense capture grids can be costly and may repeatedly sample morphologically similar regions. Most active learning strategies were developed for categorical labels and independent samples. We conduct a retrospective pool-based benchmark of acti...

Zhe-Yu Zhu, Jun-Chao Zhu, Feng-Bei Liu et al. · arXiv.org · 0 citations

Sep 2026

MedCure: Medical Data Curation for Efficient Vision–Language Pretraining

Medical foundation models (FMs) typically rely on contrastive vision-language pretraining over large-scale datasets, yet such datasets often exhibit substantial heterogeneity in data quality and demand extensive computational resources. Recent studies suggest that data quality matters more than data quantity, but how t...

Chong Wang, Feng-Bei Liu, Yu-Yuan Liu et al. · IEEE Transactions on Image P... · 0 citations