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Ling Huang 0003
Person information
- affiliation: National University of Singapore, School of Public Health, Singapore
- affiliation (former): University of Technology of Compiègne, France
Other persons with the same name
- Ling Huang — disambiguation page
- Ling Huang 0001 — Tsinghua University, Institute of Interdisciplinary Information Sciences, Beijing, China (and 3 more)
- Ling Huang 0002
— South China Agricultural University, College of Mathematics and Informatics, Guangzhou, China (and 1 more)
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Books and Theses
- 2023
- [b1]Ling Huang:
Medical image segmentation with belief function theory and deep learning. (Segmentation d'images médicales avec la théorie de la fonction de croyance et l'apprentissage en profondeur). University of Technology of Compiègne, France, 2023
Journal Articles
- 2026
- [j8]Zhan Gao
Domain-continual learning for multi-center anatomical detection via prompt-enhanced and densely-fused MedSAM. Inf. Fusion 126: 103614 (2026) - 2025
- [j7]Ling Huang
Evidential time-to-event prediction with calibrated uncertainty quantification. Int. J. Approx. Reason. 181: 109403 (2025) - [j6]Ling Huang
Deep evidential fusion with uncertainty quantification and reliability learning for multimodal medical image segmentation. Inf. Fusion 113: 102648 (2025) - [j5]Qika Lin
Has multimodal learning delivered universal intelligence in healthcare? A comprehensive survey. Inf. Fusion 116: 102795 (2025) - 2024
- [j4]Ling Huang
A review of uncertainty quantification in medical image analysis: Probabilistic and non-probabilistic methods. Medical Image Anal. 97: 103223 (2024) - 2023
- [j3]Ling Huang, Su Ruan, Thierry Denoeux:
Semi-supervised multiple evidence fusion for brain tumor segmentation. Neurocomputing 535: 40-52 (2023) - [j2]Ling Huang
Application of belief functions to medical image segmentation: A review. Inf. Fusion 91: 737-756 (2023) - 2022
- [j1]Ling Huang
Lymphoma segmentation from 3D PET-CT images using a deep evidential network. Int. J. Approx. Reason. 149: 39-60 (2022)
Conference and Workshop Papers
- 2025
- [c8]Qika Lin, Tianzhe Zhao, Kai He, Zhen Peng, Fangzhi Xu, Ling Huang, Jingying Ma, Mengling Feng:
Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models. ACL (1) 2025: 13587-13602 - 2024
- [c7]Ling Huang
An Evidential Time-to-Event Prediction Model Based on Gaussian Random Fuzzy Numbers. BELIEF 2024: 49-57 - [c6]Yucheng Ruan
An Evidence-Based Framework For Heterogeneous Electronic Health Records: A Case Study In Mortality Prediction. BELIEF 2024: 78-86 - 2022
- [c5]Ling Huang
Evidence Fusion with Contextual Discounting for Multi-modality Medical Image Segmentation. MICCAI (5) 2022: 401-411 - 2021
- [c4]Ling Huang
Evidential Segmentation of 3D PET/CT Images. BELIEF 2021: 159-167 - [c3]Ling Huang
Covid-19 Classification with Deep Neural Network and Belief Functions. BIBE 2021: 3:1-3:4 - [c2]Ling Huang
Belief Function-Based Semi-Supervised Learning For Brain Tumor Segmentation. ISBI 2021: 160-164 - [c1]Ling Huang
Deep PET/CT Fusion with Dempster-Shafer Theory for Lymphoma Segmentation. MLMI@MICCAI 2021: 30-39
Informal and Other Publications
- 2025
- [i16]Yucheng Ruan, Daniel J. Tan, See-Kiong Ng, Ling Huang, Mengling Feng:
Evidence-based multimodal fusion on structured EHRs and free-text notes for ICU outcome prediction. CoRR abs/2501.04389 (2025) - [i15]Qika Lin, Tianzhe Zhao, Kai He
Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models. CoRR abs/2501.18119 (2025) - [i14]Qika Lin, Yifan Zhu, Bin Pu, Ling Huang, Haoran Luo, Jingying Ma, Zhen Peng, Tianzhe Zhao, Fangzhi Xu, Jian Zhang, Kai He, Zhonghong Ou, Swapnil Mishra, Mengling Feng:
A Foundation Model for Chest X-ray Interpretation with Grounded Reasoning via Online Reinforcement Learning. CoRR abs/2509.03906 (2025) - 2024
- [i13]Ling Huang, Yucheng Xing, Thierry Denoeux, Mengling Feng:
An evidential time-to-event prediction model based on Gaussian random fuzzy numbers. CoRR abs/2406.13487 (2024) - [i12]Qika Lin, Yifan Zhu, Xin Mei, Ling Huang, Jingying Ma, Kai He
Has Multimodal Learning Delivered Universal Intelligence in Healthcare? A Comprehensive Survey. CoRR abs/2408.12880 (2024) - [i11]Ling Huang, Yucheng Xing, Swapnil Mishra, Thierry Denoeux, Mengling Feng:
Evidential time-to-event prediction model with well-calibrated uncertainty estimation. CoRR abs/2411.07853 (2024) - [i10]Ling Huang, Yucheng Xing, Qika Lin, Su Ruan, Mengling Feng:
EsurvFusion: An evidential multimodal survival fusion model based on Gaussian random fuzzy numbers. CoRR abs/2412.01215 (2024) - 2023
- [i9]Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux:
Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentation. CoRR abs/2309.05919 (2023) - [i8]Ling Huang, Su Ruan, Yucheng Xing, Mengling Feng:
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods. CoRR abs/2310.06873 (2023) - 2022
- [i7]Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux:
Lymphoma segmentation from 3D PET-CT images using a deep evidential network. CoRR abs/2201.13078 (2022) - [i6]Ling Huang, Su Ruan:
Application of belief functions to medical image segmentation: A review. CoRR abs/2205.01733 (2022) - [i5]Ling Huang, Thierry Denoeux
Evidence fusion with contextual discounting for multi-modality medical image segmentation. CoRR abs/2206.11739 (2022) - 2021
- [i4]Ling Huang
Covid-19 classification with deep neural network and belief functions. CoRR abs/2101.06958 (2021) - [i3]Ling Huang
Belief function-based semi-supervised learning for brain tumor segmentation. CoRR abs/2102.00097 (2021) - [i2]Ling Huang
Evidential segmentation of 3D PET/CT images. CoRR abs/2104.13293 (2021) - [i1]Ling Huang
Deep PET/CT fusion with Dempster-Shafer theory for lymphoma segmentation. CoRR abs/2108.05422 (2021)
Coauthor Index
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last updated on 2025-11-13 00:24 CET by the dblp team
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