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Publications & Impact

Advancing the frontiers of trustworthy AI and multi-modal fusion

  • 142
    Citations
    2018

    Optimization of deep convolutional neural network for large scale image retrieval

    C Bai, L Huang, X Pan, J Zheng, S Chen

    Neurocomputing 303, 60-67, 2018

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  • 113
    Citations
    2024

    A review of uncertainty quantification in medical image analysis: Probabilistic and non-probabilistic methods

    L Huang, S Ruan, Y Xing, M Feng

    Medical Image Analysis 97, 103223, 2024

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  • 90
    Citations
    2025

    Has multimodal learning delivered universal intelligence in healthcare? A comprehensive survey

    Q Lin, Y Zhu, X Mei, L Huang, J Ma, K He, Z Peng, E Cambria, M Feng

    Information Fusion 116, 102795, 2025

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  • 75
    Citations
    2022

    Lymphoma segmentation from 3D PET-CT images using a deep evidential network

    L Huang, S Ruan, P Decazes, T Denoeux

    International Journal of Approximate Reasoning 149, 39-60, 2022

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  • 73
    Citations
    2025

    Deep evidential fusion with uncertainty quantification and reliability learning for multimodal medical image segmentation

    L Huang, S Ruan, P Decazes, T Denœux

    Information Fusion 113, 102648, 2025

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  • 69
    Citations
    2018

    Saliency-based multi-feature modeling for semantic image retrieval

    C Bai, J Chen, L Huang, K Kpalma, S Chen

    Journal of Visual Communication and Image Representation 50, 199-204, 2018

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  • 59
    Citations
    2021

    Unsupervised adversarial instance-level image retrieval

    C Bai, H Li, J Zhang, L Huang, L Zhang

    IEEE Transactions on Multimedia 23, 2199-2207, 2021

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  • 56
    Citations
    2023

    Application of belief functions to medical image segmentation: A review

    L Huang, S Ruan, T Denoeux

    Information Fusion 91, 737-756, 2023

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  • 55
    Citations
    2022

    Evidence fusion with contextual discounting for multi-modality medical image segmentation

    L Huang, T Denoeux, P Vera, S Ruan

    MICCAI2022, 2022

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  • 37
    Citations
    2021

    Belief function-based semi-supervised learning for brain tumor segmentation

    L Huang, S Ruan, T Denoeux

    ISBI2021, 2021

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  • 34
    Citations
    2023

    Semi-supervised multiple evidence fusion for brain tumor segmentation

    L Huang, S Ruan, T Denœux

    Neurocomputing 535, 40-52, 2023

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  • 34
    Citations
    2017

    Optimization of deep convolutional neural network for large scale image classification

    白琮, 黄玲, 陈佳楠, 潘翔, 陈胜勇

    Journal of Software 29 (4), 1029-1038, 2017

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  • 32
    Citations
    2021

    Covid-19 classification with deep neural network and belief functions

    L Huang, S Ruan, T Denoeux

    BIBE2021, 2021

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  • 25
    Citations
    2021

    Deep PET/CT fusion with Dempster-Shafer theory for lymphoma segmentation

    L Huang, T Denoeux, D Tonnelet, P Decazes, S Ruan

    MICCAI 2021 workshop MLMI, 2021

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  • 23
    Citations
    2021

    Evidential segmentation of 3D PET/CT images

    L Huang, S Ruan, P Decazes, T Denoeux

    BELIEF2021, 2021

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  • 14
    Citations
    2025

    Self-supervised quantized representation for seamlessly integrating knowledge graphs with large language models

    Q Lin, T Zhao, K He, Z Peng, F Xu, L Huang, J Ma, M Feng

    Proceedings of the 63rd Annual Meeting of the Association for Computational …, 2025

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  • 9
    Citations
    2025

    Improving clinical foundation models with multi-modal learning and domain adaptation for chronic disease prediction

    W Hou, J Wang, Q Lin, X Wang, L Huang

    IEEE journal of biomedical and health informatics, 2025

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  • 8
    Citations
    2019

    Adversarial learning for content-based image retrieval

    L Huang, C Bai, Y Lu, S Chen, Q Tian

    2019 IEEE Conference on Multimedia Information Processing and Retrieval …, 2019

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  • 6
    Citations
    2024

    An evidential time-to-event prediction model based on Gaussian random fuzzy numbers

    L Huang, Y Xing, T Denoeux, M Feng

    International Conference on Belief Functions, 49-57, 2024

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  • 5
    Citations
    2025

    A foundation model for chest x-ray interpretation with grounded reasoning via online reinforcement learning

    Q Lin, Y Zhu, B Pu, L Huang, H Luo, J Ma, Z Peng, T Zhao, F Xu, J Zhang, ...

    arXiv preprint arXiv:2509.03906, 2025

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  • 5
    Citations
    2022

    Unsupervised adversarial image retrieval

    L Huang, C Bai, Y Lu, S Zhang, S Chen

    Multimedia Systems 28 (2), 673-685, 2022

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  • 5
    Citations
    2019

    Instance image retrieval with generative adversarial training

    H Li, C Bai, L Huang, Y Jiang, S Chen

    International Conference on Multimedia Modeling, 381-392, 2019

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  • 4
    Citations
    2025

    Evidential time-to-event prediction with calibrated uncertainty quantification

    L Huang, Y Xing, S Mishra, T Denœux, M Feng

    International Journal of Approximate Reasoning 181, 109403, 2025

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  • 4
    Citations
    2024

    EsurvFusion: An evidential multimodal survival fusion model based on Gaussian random fuzzy numbers

    L Huang, Y Xing, Q Lin, S Ruan, M Feng

    arXiv preprint arXiv:2412.01215, 2024

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  • 4
    Citations
    2023

    Towards reliable medical image segmentation by utilizing evidential calibrated uncertainty

    K Zou, Y Chen, L Huang, X Yuan, X Shen, M Wang, RSM Goh, Y Liu, H Fu

    arXiv preprint arXiv:2301.00349, 2023

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  • 2
    Citations
    2025

    Towards accurate and reliable ICU outcome prediction: a multimodal learning framework based on belief function theory using structured EHRs and free-text notes

    Y Ruan, DJ Tan, SK Ng, L Huang, M Feng

    Journal of Healthcare Informatics Research, 1-42, 2025

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  • 2
    Citations
    2025

    Toward reliable medical image segmentation by modeling evidential calibrated uncertainty

    K Zou, Y Chen, L Huang, N Zhou, X Yuan, X Shen, M Wang, RSM Goh, ...

    IEEE Transactions on Cybernetics, 2025

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  • 2
    Citations
    2024

    An evidence-based framework for heterogeneous electronic health records: A case study in mortality prediction

    Y Ruan, L Huang, Q Xu, M Feng

    International Conference on Belief Functions, 78-86, 2024

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  • 1
    Citations
    2026

    A hierarchical teacher-student learning framework with adaptive cross-modal fusion for brain tumor segmentation

    T Zhou, S Ruan, J Duan, H Hu, Y Meng, L Huang, D Yang, B Jiang, T Luo, ...

    Expert Systems with Applications, 131371, 2026

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  • 1
    Citations
    2025

    DPsurv: Dual-Prototype Evidential Fusion for Uncertainty-Aware and Interpretable Whole-Slide Image Survival Prediction

    Y Xing, L Huang, J Ma, R Hong, J Qiu, P Liu, K He, H Fu, M Feng

    arXiv preprint arXiv:2510.00053, 2025

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  • 1
    Citations
    2025

    Domain-continual learning for multi-center anatomical detection via prompt-enhanced and densely-fused MedSAM

    Z Gao, L Huang, Q Lin, B Pu, K He, M Feng, K Li

    Information Fusion, 103614, 2025

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  • 1
    Citations
    2025

    Evidence-based multimodal fusion on structured ehrs and free-text notes for icu outcome prediction

    Y Ruan, DJ Tan, L Huang, M Feng

    arXiv e-prints, arXiv: 2501.04389, 2025

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  • 0
    Citations
    2026

    Gene-exposure interactions regulate cytokine-mediated chronic inflammation and cardiac remodeling

    M Corianò, S Tahasildar, L Huang, K Rjoob, S Kalaie, J Zheng, L Curran, ...

    medRxiv, 2026.01. 19.26344405, 2026

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  • 0
    Citations
    2025

    Adversarial example detection and defense based on the evidence consistency from Dempster-Shafer layers

    Y Xu, Y Qiu, L Huang, R Wang, L Chen, J Zhou, W Liu

    Knowledge-Based Systems, 114937, 2025

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  • 0
    Citations
    2025

    EsurvFusion: An evidential multimodal survival fusion model based on Epistemic random fuzzy sets

    L Huang, Y Xing, Q Lin, J Duan, S Ruan, M Feng

    IEEE Transactions on Fuzzy Systems, 2025

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  • 0
    Citations
    2023

    Medical image segmentation with belief function theory and deep learning

    L HUANG

    UTC Thesis, 2023

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