Ling Huang - RankMe

46 papers C 1Journal 34Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A hierarchical teacher-student learning framework with adaptive cross-modal fusion for brain tumor segmentation. Expert Syst. Appl. Tongxue Zhou, Su Ruan, Jinming Duan, Haigen Hu, Yanda Meng, Ling Huang, Defu Yang, Bingbing Jiang, Tingjin Luo, Zhiwei Ji, Baiying Lei
2026	J	`jnl`	Domain-continual learning for multi-center anatomical detection via prompt-enhanced and densely-fused MedSAM. Inf. Fusion Zhan Gao, Ling Huang, Qika Lin, Bin Pu, Kai He, Mengling Feng, Kenli Li
2026	J	`jnl`	EsurvFusion: An Evidential Multimodal Survival Fusion Model Based on Epistemic Random Fuzzy Sets. IEEE Trans. Fuzzy Syst. Ling Huang, Yucheng Xing, Qika Lin, Jinming Duan, Su Ruan, Mengling Feng
2025	J	`jnl`	A Foundation Model for Chest X-ray Interpretation with Grounded Reasoning via Online Reinforcement Learning. CoRR 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
2025	J	`jnl`	Adversarial example detection and defense based on the evidence consistency from Dempster-Shafer layers. Knowl. Based Syst. Yue Xu, Yibo Qiu, Ling Huang, Rui Wang, Lunde Chen, Jiwen Zhou, Wanyu Liu
2025	J	`jnl`	DPsurv: Dual-Prototype Evidential Fusion for Uncertainty-Aware and Interpretable Whole-Slide Image Survival Prediction. CoRR Yucheng Xing, Ling Huang, Jingying Ma, Ruping Hong, Jiangdong Qiu, Pei Liu, Kai He, Huazhu Fu, Mengling Feng
2025	J	`jnl`	Deep evidential fusion with uncertainty quantification and reliability learning for multimodal medical image segmentation. Inf. Fusion Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux
2025	J	`jnl`	Evidence-based multimodal fusion on structured EHRs and free-text notes for ICU outcome prediction. CoRR Yucheng Ruan, Daniel J. Tan, See-Kiong Ng, Ling Huang, Mengling Feng
2025	J	`jnl`	Evidential time-to-event prediction with calibrated uncertainty quantification. Int. J. Approx. Reason. Ling Huang, Yucheng Xing, Swapnil Mishra, Thierry Denoeux, Mengling Feng
2025	J	`jnl`	Has multimodal learning delivered universal intelligence in healthcare? A comprehensive survey. Inf. Fusion Qika Lin, Yifan Zhu, Xin Mei, Ling Huang, Jingying Ma, Kai He, Zhen Peng, Erik Cambria, Mengling Feng
2025	—	`conf`	Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models. ACL (1) Qika Lin, Tianzhe Zhao, Kai He, Zhen Peng, Fangzhi Xu, Ling Huang, Jingying Ma, Mengling Feng
2025	J	`jnl`	Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models. CoRR Qika Lin, Tianzhe Zhao, Kai He, Zhen Peng, Fangzhi Xu, Ling Huang, Jingying Ma, Mengling Feng
2025	J	`jnl`	Toward Reliable Medical Image Segmentation by Modeling Evidential Calibrated Uncertainty. IEEE Trans. Cybern. Ke Zou, Yidi Chen, Ling Huang, Nan Zhou, Xuedong Yuan, Xiaojing Shen, Meng Wang, Rick Siow Mong Goh, Yong Liu, Yih Chung Tham, Huazhu Fu
2024	J	`jnl`	A review of uncertainty quantification in medical image analysis: Probabilistic and non-probabilistic methods. Medical Image Anal. Ling Huang, Su Ruan, Yucheng Xing, Mengling Feng
2024	—	`conf`	An Evidence-Based Framework For Heterogeneous Electronic Health Records: A Case Study In Mortality Prediction. BELIEF Yucheng Ruan, Ling Huang, Qianyi Xu, Mengling Feng
2024	—	`conf`	An Evidential Time-to-Event Prediction Model Based on Gaussian Random Fuzzy Numbers. BELIEF Ling Huang, Yucheng Xing, Thierry Denoeux, Mengling Feng
2024	J	`jnl`	An evidential time-to-event prediction model based on Gaussian random fuzzy numbers. CoRR Ling Huang, Yucheng Xing, Thierry Denoeux, Mengling Feng
2024	J	`jnl`	EsurvFusion: An evidential multimodal survival fusion model based on Gaussian random fuzzy numbers. CoRR Ling Huang, Yucheng Xing, Qika Lin, Su Ruan, Mengling Feng
2024	J	`jnl`	Evidential time-to-event prediction model with well-calibrated uncertainty estimation. CoRR Ling Huang, Yucheng Xing, Swapnil Mishra, Thierry Denoeux, Mengling Feng
2024	J	`jnl`	Has Multimodal Learning Delivered Universal Intelligence in Healthcare? A Comprehensive Survey. CoRR Qika Lin, Yifan Zhu, Xin Mei, Ling Huang, Jingying Ma, Kai He, Zhen Peng, Erik Cambria, Mengling Feng
2023	J	`jnl`	A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods. CoRR Ling Huang, Su Ruan, Yucheng Xing, Mengling Feng
2023	J	`jnl`	Application of belief functions to medical image segmentation: A review. Inf. Fusion Ling Huang, Su Ruan, Thierry Denoeux
2023	J	`jnl`	Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentation. CoRR Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux
2023	J	`jnl`	Medical Image Segmentation with Belief Function Theory and Deep Learning. CoRR Ling Huang
2023	—	`—`	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). Ling Huang
2023	J	`jnl`	Semi-supervised multiple evidence fusion for brain tumor segmentation. Neurocomputing Ling Huang, Su Ruan, Thierry Denoeux
2022	J	`jnl`	Application of belief functions to medical image segmentation: A review. CoRR Ling Huang, Su Ruan
2022	—	`conf`	Evidence Fusion with Contextual Discounting for Multi-modality Medical Image Segmentation. MICCAI (5) Ling Huang, Thierry Denoeux, Pierre Vera, Su Ruan
2022	J	`jnl`	Evidence fusion with contextual discounting for multi-modality medical image segmentation. CoRR Ling Huang, Thierry Denoeux, Pierre Vera, Su Ruan
2022	J	`jnl`	Lymphoma segmentation from 3D PET-CT images using a deep evidential network. CoRR Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux
2022	J	`jnl`	Lymphoma segmentation from 3D PET-CT images using a deep evidential network. Int. J. Approx. Reason. Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux
2022	J	`jnl`	Unsupervised adversarial image retrieval. Multim. Syst. Ling Huang, Cong Bai, Yijuan Lu, Shaobo Zhang, Shengyong Chen
2021	—	`conf`	Belief Function-Based Semi-Supervised Learning For Brain Tumor Segmentation. ISBI Ling Huang, Su Ruan, Thierry Denoeux
2021	J	`jnl`	Belief function-based semi-supervised learning for brain tumor segmentation. CoRR Ling Huang, Su Ruan, Thierry Denoeux
2021	C	`conf`	Covid-19 Classification with Deep Neural Network and Belief Functions. BIBE Ling Huang, Su Ruan, Thierry Denoeux
2021	J	`jnl`	Covid-19 classification with deep neural network and belief functions. CoRR Ling Huang, Su Ruan, Thierry Denoeux
2021	—	`conf`	Deep PET/CT Fusion with Dempster-Shafer Theory for Lymphoma Segmentation. MLMI@MICCAI Ling Huang, Thierry Denoeux, David Tonnelet, Pierre Decazes, Su Ruan
2021	J	`jnl`	Deep PET/CT fusion with Dempster-Shafer theory for lymphoma segmentation. CoRR Ling Huang, Thierry Denoeux, David Tonnelet, Pierre Decazes, Su Ruan
2021	—	`conf`	Evidential Segmentation of 3D PET/CT Images. BELIEF Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux
2021	J	`jnl`	Evidential segmentation of 3D PET/CT images. CoRR Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux
2021	J	`jnl`	Unsupervised Adversarial Instance-Level Image Retrieval. IEEE Trans. Multim. Cong Bai, Hongkai Li, Jinglin Zhang, Ling Huang, Lu Zhang
2020	—	`conf`	Instance Image Retrieval with Generative Adversarial Training. MMM (1) Hongkai Li, Cong Bai, Ling Huang, Yu-Gang Jiang, Shengyong Chen
2019	—	`conf`	Adversarial Learning for Content-Based Image Retrieval. MIPR Ling Huang, Cong Bai, Yijuan Lu, Shengyong Chen, Qi Tian
2018	J	`jnl`	Optimization of deep convolutional neural network for large scale image retrieval. Neurocomputing Cong Bai, Ling Huang, Xiang Pan, Jianwei Zheng, Shengyong Chen
2018	J	`jnl`	Saliency-based multi-feature modeling for semantic image retrieval. J. Vis. Commun. Image Represent. Cong Bai, Jianan Chen, Ling Huang, Kidiyo Kpalma, Shengyong Chen
2017	—	`conf`	Visual Saliency Fusion Based Multi-feature for Semantic Image Retrieval. CCCV (2) Jianan Chen, Cong Bai, Ling Huang, Zhi Liu, Shengyong Chen