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BibTeX records: Ling Huang 0003
@article{DBLP:journals/inffus/GaoHLPHFL26,
author = {Zhan Gao and
Ling Huang and
Qika Lin and
Bin Pu and
Kai He and
Mengling Feng and
Kenli Li},
title = {Domain-continual learning for multi-center anatomical detection via
prompt-enhanced and densely-fused MedSAM},
journal = {Inf. Fusion},
volume = {126},
pages = {103614},
year = {2026}
}
@article{DBLP:journals/ijar/HuangXMDF25,
author = {Ling Huang and
Yucheng Xing and
Swapnil Mishra and
Thierry Denoeux and
Mengling Feng},
title = {Evidential time-to-event prediction with calibrated uncertainty quantification},
journal = {Int. J. Approx. Reason.},
volume = {181},
pages = {109403},
year = {2025}
}
@article{DBLP:journals/inffus/HuangRDD25,
author = {Ling Huang and
Su Ruan and
Pierre Decazes and
Thierry Denoeux},
title = {Deep evidential fusion with uncertainty quantification and reliability
learning for multimodal medical image segmentation},
journal = {Inf. Fusion},
volume = {113},
pages = {102648},
year = {2025}
}
@article{DBLP:journals/inffus/LinZMHMHPCF25,
author = {Qika Lin and
Yifan Zhu and
Xin Mei and
Ling Huang and
Jingying Ma and
Kai He and
Zhen Peng and
Erik Cambria and
Mengling Feng},
title = {Has multimodal learning delivered universal intelligence in healthcare?
{A} comprehensive survey},
journal = {Inf. Fusion},
volume = {116},
pages = {102795},
year = {2025}
}
@inproceedings{DBLP:conf/acl/LinZ00X0MF25,
author = {Qika Lin and
Tianzhe Zhao and
Kai He and
Zhen Peng and
Fangzhi Xu and
Ling Huang and
Jingying Ma and
Mengling Feng},
title = {Self-supervised Quantized Representation for Seamlessly Integrating
Knowledge Graphs with Large Language Models},
booktitle = {{ACL} {(1)}},
pages = {13587--13602},
publisher = {Association for Computational Linguistics},
year = {2025}
}
@article{DBLP:journals/corr/abs-2501-04389,
author = {Yucheng Ruan and
Daniel J. Tan and
See{-}Kiong Ng and
Ling Huang and
Mengling Feng},
title = {Evidence-based multimodal fusion on structured EHRs and free-text
notes for {ICU} outcome prediction},
journal = {CoRR},
volume = {abs/2501.04389},
year = {2025}
}
@article{DBLP:journals/corr/abs-2501-18119,
author = {Qika Lin and
Tianzhe Zhao and
Kai He and
Zhen Peng and
Fangzhi Xu and
Ling Huang and
Jingying Ma and
Mengling Feng},
title = {Self-supervised Quantized Representation for Seamlessly Integrating
Knowledge Graphs with Large Language Models},
journal = {CoRR},
volume = {abs/2501.18119},
year = {2025}
}
@article{DBLP:journals/corr/abs-2509-03906,
author = {Qika Lin and
Yifan Zhu and
Bin Pu and
Ling Huang and
Haoran Luo and
Jingying Ma and
Zhen Peng and
Tianzhe Zhao and
Fangzhi Xu and
Jian Zhang and
Kai He and
Zhonghong Ou and
Swapnil Mishra and
Mengling Feng},
title = {A Foundation Model for Chest X-ray Interpretation with Grounded Reasoning
via Online Reinforcement Learning},
journal = {CoRR},
volume = {abs/2509.03906},
year = {2025}
}
@article{DBLP:journals/corr/abs-2510-00053,
author = {Yucheng Xing and
Ling Huang and
Jingying Ma and
Ruping Hong and
Jiangdong Qiu and
Pei Liu and
Kai He and
Huazhu Fu and
Mengling Feng},
title = {DPsurv: Dual-Prototype Evidential Fusion for Uncertainty-Aware and
Interpretable Whole-Slide Image Survival Prediction},
journal = {CoRR},
volume = {abs/2510.00053},
year = {2025}
}
@article{DBLP:journals/mia/HuangRXF24,
author = {Ling Huang and
Su Ruan and
Yucheng Xing and
Mengling Feng},
title = {A review of uncertainty quantification in medical image analysis:
Probabilistic and non-probabilistic methods},
journal = {Medical Image Anal.},
volume = {97},
pages = {103223},
year = {2024}
}
@inproceedings{DBLP:conf/belief/HuangXDF24,
author = {Ling Huang and
Yucheng Xing and
Thierry Denoeux and
Mengling Feng},
title = {An Evidential Time-to-Event Prediction Model Based on Gaussian Random
Fuzzy Numbers},
booktitle = {{BELIEF}},
series = {Lecture Notes in Computer Science},
volume = {14909},
pages = {49--57},
publisher = {Springer},
year = {2024}
}
@inproceedings{DBLP:conf/belief/RuanHXF24,
author = {Yucheng Ruan and
Ling Huang and
Qianyi Xu and
Mengling Feng},
title = {An Evidence-Based Framework For Heterogeneous Electronic Health Records:
{A} Case Study In Mortality Prediction},
booktitle = {{BELIEF}},
series = {Lecture Notes in Computer Science},
volume = {14909},
pages = {78--86},
publisher = {Springer},
year = {2024}
}
@article{DBLP:journals/corr/abs-2406-13487,
author = {Ling Huang and
Yucheng Xing and
Thierry Denoeux and
Mengling Feng},
title = {An evidential time-to-event prediction model based on Gaussian random
fuzzy numbers},
journal = {CoRR},
volume = {abs/2406.13487},
year = {2024}
}
@article{DBLP:journals/corr/abs-2408-12880,
author = {Qika Lin and
Yifan Zhu and
Xin Mei and
Ling Huang and
Jingying Ma and
Kai He and
Zhen Peng and
Erik Cambria and
Mengling Feng},
title = {Has Multimodal Learning Delivered Universal Intelligence in Healthcare?
{A} Comprehensive Survey},
journal = {CoRR},
volume = {abs/2408.12880},
year = {2024}
}
@article{DBLP:journals/corr/abs-2411-07853,
author = {Ling Huang and
Yucheng Xing and
Swapnil Mishra and
Thierry Denoeux and
Mengling Feng},
title = {Evidential time-to-event prediction model with well-calibrated uncertainty
estimation},
journal = {CoRR},
volume = {abs/2411.07853},
year = {2024}
}
@article{DBLP:journals/corr/abs-2412-01215,
author = {Ling Huang and
Yucheng Xing and
Qika Lin and
Su Ruan and
Mengling Feng},
title = {EsurvFusion: An evidential multimodal survival fusion model based
on Gaussian random fuzzy numbers},
journal = {CoRR},
volume = {abs/2412.01215},
year = {2024}
}
@phdthesis{DBLP:phd/hal/Huang23b,
author = {Ling Huang},
title = {Medical image segmentation with belief function theory and deep learning.
(Segmentation d'images m{\'{e}}dicales avec la th{\'{e}}orie
de la fonction de croyance et l'apprentissage en profondeur)},
school = {University of Technology of Compi{\`{e}}gne, France},
year = {2023}
}
@article{DBLP:journals/ijon/HuangRD23,
author = {Ling Huang and
Su Ruan and
Thierry Denoeux},
title = {Semi-supervised multiple evidence fusion for brain tumor segmentation},
journal = {Neurocomputing},
volume = {535},
pages = {40--52},
year = {2023}
}
@article{DBLP:journals/inffus/HuangRD23,
author = {Ling Huang and
Su Ruan and
Thierry Denoeux},
title = {Application of belief functions to medical image segmentation: {A}
review},
journal = {Inf. Fusion},
volume = {91},
pages = {737--756},
year = {2023}
}
@article{DBLP:journals/corr/abs-2309-05919,
author = {Ling Huang and
Su Ruan and
Pierre Decazes and
Thierry Denoeux},
title = {Deep evidential fusion with uncertainty quantification and contextual
discounting for multimodal medical image segmentation},
journal = {CoRR},
volume = {abs/2309.05919},
year = {2023}
}
@article{DBLP:journals/corr/abs-2310-06873,
author = {Ling Huang and
Su Ruan and
Yucheng Xing and
Mengling Feng},
title = {A review of uncertainty quantification in medical image analysis:
probabilistic and non-probabilistic methods},
journal = {CoRR},
volume = {abs/2310.06873},
year = {2023}
}
@article{DBLP:journals/ijar/HuangRDD22,
author = {Ling Huang and
Su Ruan and
Pierre Decazes and
Thierry Denoeux},
title = {Lymphoma segmentation from 3D {PET-CT} images using a deep evidential
network},
journal = {Int. J. Approx. Reason.},
volume = {149},
pages = {39--60},
year = {2022}
}
@inproceedings{DBLP:conf/miccai/HuangDVR22,
author = {Ling Huang and
Thierry Denoeux and
Pierre Vera and
Su Ruan},
title = {Evidence Fusion with Contextual Discounting for Multi-modality Medical
Image Segmentation},
booktitle = {{MICCAI} {(5)}},
series = {Lecture Notes in Computer Science},
volume = {13435},
pages = {401--411},
publisher = {Springer},
year = {2022}
}
@article{DBLP:journals/corr/abs-2201-13078,
author = {Ling Huang and
Su Ruan and
Pierre Decazes and
Thierry Denoeux},
title = {Lymphoma segmentation from 3D {PET-CT} images using a deep evidential
network},
journal = {CoRR},
volume = {abs/2201.13078},
year = {2022}
}
@article{DBLP:journals/corr/abs-2205-01733,
author = {Ling Huang and
Su Ruan},
title = {Application of belief functions to medical image segmentation: {A}
review},
journal = {CoRR},
volume = {abs/2205.01733},
year = {2022}
}
@article{DBLP:journals/corr/abs-2206-11739,
author = {Ling Huang and
Thierry Denoeux and
Pierre Vera and
Su Ruan},
title = {Evidence fusion with contextual discounting for multi-modality medical
image segmentation},
journal = {CoRR},
volume = {abs/2206.11739},
year = {2022}
}
@inproceedings{DBLP:conf/belief/HuangRDD21,
author = {Ling Huang and
Su Ruan and
Pierre Decazes and
Thierry Denoeux},
title = {Evidential Segmentation of 3D {PET/CT} Images},
booktitle = {{BELIEF}},
series = {Lecture Notes in Computer Science},
volume = {12915},
pages = {159--167},
publisher = {Springer},
year = {2021}
}
@inproceedings{DBLP:conf/bibe2/HuangRD21,
author = {Ling Huang and
Su Ruan and
Thierry Denoeux},
title = {Covid-19 Classification with Deep Neural Network and Belief Functions},
booktitle = {{BIBE}},
pages = {3:1--3:4},
publisher = {{ACM}},
year = {2021}
}
@inproceedings{DBLP:conf/isbi/HuangRD21,
author = {Ling Huang and
Su Ruan and
Thierry Denoeux},
title = {Belief Function-Based Semi-Supervised Learning For Brain Tumor Segmentation},
booktitle = {{ISBI}},
pages = {160--164},
publisher = {{IEEE}},
year = {2021}
}
@inproceedings{DBLP:conf/miccai/HuangDTDR21,
author = {Ling Huang and
Thierry Denoeux and
David Tonnelet and
Pierre Decazes and
Su Ruan},
title = {Deep {PET/CT} Fusion with Dempster-Shafer Theory for Lymphoma Segmentation},
booktitle = {MLMI@MICCAI},
series = {Lecture Notes in Computer Science},
volume = {12966},
pages = {30--39},
publisher = {Springer},
year = {2021}
}
@article{DBLP:journals/corr/abs-2101-06958,
author = {Ling Huang and
Su Ruan and
Thierry Denoeux},
title = {Covid-19 classification with deep neural network and belief functions},
journal = {CoRR},
volume = {abs/2101.06958},
year = {2021}
}
@article{DBLP:journals/corr/abs-2102-00097,
author = {Ling Huang and
Su Ruan and
Thierry Denoeux},
title = {Belief function-based semi-supervised learning for brain tumor segmentation},
journal = {CoRR},
volume = {abs/2102.00097},
year = {2021}
}
@article{DBLP:journals/corr/abs-2104-13293,
author = {Ling Huang and
Su Ruan and
Pierre Decazes and
Thierry Denoeux},
title = {Evidential segmentation of 3D {PET/CT} images},
journal = {CoRR},
volume = {abs/2104.13293},
year = {2021}
}
@article{DBLP:journals/corr/abs-2108-05422,
author = {Ling Huang and
Thierry Denoeux and
David Tonnelet and
Pierre Decazes and
Su Ruan},
title = {Deep {PET/CT} fusion with Dempster-Shafer theory for lymphoma segmentation},
journal = {CoRR},
volume = {abs/2108.05422},
year = {2021}
}
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