Bingyuan Liu

Publications

Selected research in machine learning, computer vision, medical imaging, and language models. See Google Scholar for the complete list.

  1. Reducing Distraction in Long-Context Language Models by Focused Learning

    arXiv, 2024 · Second author

    Paper

  2. Do We Really Need Dice? The Hidden Region-Size Biases of Segmentation Losses

    Medical Image Analysis, 2024 · First author

    PaperCode

  3. Class Adaptive Network Calibration

    CVPR, 2023 · First author

    PaperCode

  4. Calibrating Segmentation Networks with Margin-based Label Smoothing

    Medical Image Analysis, 2023 · Second author

    Paper

  5. GAMMA Challenge: Glaucoma Grading from Multi-Modality Images

    Medical Image Analysis, 2023 · Co-author

    1st place in two MICCAI 2021 GAMMA challenge tasks

    Paper

  6. The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration

    CVPR, 2022 · First author

    PaperCode

  7. Segmentation with Mixed Supervision: Confidence Maximization Helps Knowledge Distillation

    Medical Image Analysis, 2022 · First author

    PaperCode

  8. Furnishing Your Room by What You See: An End-to-End Furniture Set Retrieval Framework with Rich Annotated Benchmark Dataset

    arXiv, 2019 · First author

    PaperDataset

  9. Learning Representative and Discriminative Image Representation by Deep Appearance and Spatial Coding

    Computer Vision and Image Understanding, 2015 · First author

    Paper

  10. Detection Guided Deconvolutional Network for Hierarchical Feature Learning

    Pattern Recognition, 2015 · Second author

    Paper