Hulin Kuang

80 papers A* 3Misc 2Journal 46Unranked 29
YearRankTypeTitle / Venue / Authors
2026 J jnl
Edge-Aware Transformer with Shared Axis Feature Alignment and Adaptive Self-Attention for Glioma Grading.
Eng. Appl. Artif. Intell.
Adeel Ahmed Abbasi, Hulin Kuang, Xinyu Li, Jianxin Wang
2026 J jnl
Hybrid region and population hypergraph neural network for mild cognitive impairment detection.
Pattern Recognit.
Jie Wang, Luohuang Wu, Hulin Kuang, Jianxin Wang
2026 J jnl
Semi-Supervised Learning with Adaptive Pseudo-Label Selection and Correction for Predicting Overall Survival Time of Esophageal Cancer.
Big Data Min. Anal.
Hailin Yue, Hulin Kuang, Jin Liu, Junjian Li, Jie Zhu, Xiaoding Zhou, Pei Yang, Qifeng Wang, Jianxin Wang
2026 J jnl
Vision-language model with siamese bilateral difference network and text-guided image feature enhancement for acute ischemic stroke outcome prediction on CT angiography.
Inf. Fusion
Hulin Kuang, Bin Hu, Shuai Yang, Dongcui Wang, Guanghua Luo, Weihua Liao, Wu Qiu, Shulin Liu, Jianxin Wang
2025 Misc conf
A Clinical Knowledge-Driven Fine-Tuning Strategy for Applying Foundation Model to Fully Automatic Acute Ischemic Stroke Lesion Segmentation on Non-Contrast CT Scans.
ICASSP
Xianzhen Tan, Zhe Qu, Jie Wang, Hulin Kuang
2025 Misc conf
ARIG-GCN: Anatomical Relationship and Isomorphic Graph Approximation Guided Graph Convolutional Network for Automated ASPECTS Scoring on Non-Contrast CT.
ICASSP
Ning Li, Zhe Qu, Jie Wang, Hulin Kuang
2025 J jnl
Asymmetric patch sampling for contrastive learning.
Pattern Recognit.
Chengchao Shen, Jianzhong Chen, Shu Wang, Hulin Kuang, Jin Liu, Jianxin Wang
2025 — conf
Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction.
MICCAI (12)
Hailin Yue, Hulin Kuang, Jin Liu, Junjian Li, Lanlan Wang, Mengshen He, Jianxin Wang
2025 J jnl
Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction.
CoRR
Hailin Yue, Hulin Kuang, Jin Liu, Junjian Li, Lanlan Wang, Mengshen He, Jianxin Wang
2025 J jnl
CA
IEEE J. Biomed. Health Informatics
Junjian Li, Hulin Kuang, Jin Liu, Hailin Yue, Jianxin Wang
2025 A* conf
Contrastive Regularization over LoRA for Multimodal Biomedical Image Incremental Learning.
ACM Multimedia
Haojie Zhang, Yixiong Liang, Hulin Kuang, Lihui Cen, Zhe Qu, Yigang Cen, Min Zeng, Shichao Kan
2025 J jnl
Contrastive Regularization over LoRA for Multimodal Biomedical Image Incremental Learning.
CoRR
Haojie Zhang, Yixiong Liang, Hulin Kuang, Lihui Cen, Zhe Qu, Yigang Cen, Min Zeng, Shichao Kan
2025 A* conf
Dynamic Residual Encoding with Slide-Level Contrastive Learning for End-to-End Whole Slide Image Representation.
ACM Multimedia
Jing Jin, Xu Liu, Te Gao, Zhihong Shi, Yixiong Liang, Ruiqing Zheng, Hulin Kuang, Min Zeng, Shichao Kan
2025 J jnl
Dynamic Residual Encoding with Slide-Level Contrastive Learning for End-to-End Whole Slide Image Representation.
CoRR
Jing Jin, Xu Liu, Te Gao, Zhihong Shi, Yixiong Liang, Ruiqing Zheng, Hulin Kuang, Min Zeng, Shichao Kan
2025 — conf
EMF: Enhancing Mortality Risk Prediction via Evidential Multimodal Fusion.
ISBRA (1)
Abdulrahman Al-Badwi, Hulin Kuang, Abdulrahman Al-Dailami, Jian-Xin Wang
2025 J jnl
Effectively Integrating CNN and Low-Complexity Transformer for Lung Cancer Tumor Prediction After Neoadjuvant Chemoimmunotherapy.
Big Data Min. Anal.
Jiancun Zhou, Xianzhen Tan, Hulin Kuang, Jianxin Wang
2025 J jnl
FedComDist: Towards Effective Personalized Federated Learning for Patient Outcome Prediction Using Multi-Center Electronic Medical Records.
IEEE J. Biomed. Health Informatics
Abdulrahman Al-Dailami, Hulin Kuang, Jianxin Wang
2025 — conf
GMReg: Group Mamba Correlation Based Pyramid Network with Edge Enhancement for Medical Image Registration.
BIBM
Hulin Kuang, Guangheng Wu, Jin Liu, Zhe Qu, Shichao Kan, Jie Wang
2025 — conf
HCM-Net: Hybrid CNN and Mamba Network with Multi-scale Awareness Feature Fusion for Lung Cancer Pathological Complete Response Prediction.
ISBRA (2)
Jiancun Zhou, Hulin Kuang, Jian-Xin Wang
2025 J jnl
Knowledge-Driven Graph Representation Learning for Myocardial Infarction Localization.
IEEE J. Biomed. Health Informatics
Fengyi Guo, Ying An, Hulin Kuang, Jianxin Wang
2025 J jnl
Large vessel occlusion identification network with vessel guidance and asymmetry learning on CT angiography of acute ischemic stroke patients.
Medical Image Anal.
Hulin Kuang, Xinyuan Liu, Jin Liu, Shulin Liu, Shuai Yang, Weihua Liao, Wu Qiu, Guanghua Luo, Jianxin Wang
2025 — conf
MiCo: Multiple Instance Learning with Context-Aware Clustering for Whole Slide Image Analysis.
MICCAI (1)
Junjian Li, Jin Liu, Hulin Kuang, Hailin Yue, Mengshen He, Jianxin Wang
2025 J jnl
MiCo: Multiple Instance Learning with Context-Aware Clustering for Whole Slide Image Analysis.
CoRR
Junjian Li, Hulin Kuang, Jin Liu, Hailin Yue, Mengshen He, Jianxin Wang
2025 J jnl
Multi-Modal Multi-Kernel Graph Learning for Autism Prediction and Biomarker Discovery.
IEEE Trans. Comput. Biol. Bioinform.
Jin Liu, Junbin Mao, Hanhe Lin, Hulin Kuang, Shirui Pan, Xusheng Wu, Shan Xie, Fei Liu, Yi Pan
2025 — conf
Multimodal Foundation Model Adaptation with Clinical Knowledge Guidance for IDH Genotyping.
BIBM
Hulin Kuang, Yingxu Chen, Jin Liu, Jie Wang, Zhe Qu, Shichao Kan
2025 J jnl
Multimodal Representation Learning Based on Personalized Graph-Based Fusion for Mortality Prediction Using Electronic Medical Records.
Big Data Min. Anal.
Abdulrahman Al-Dailami, Hulin Kuang, Jianxin Wang
2025 — conf
SDMFF: Spatial-Temporal Dual-Pathway Network with Multi-scale Feature Fusion for Parkinson's Disease Diagnosis.
ISBRA (1)
Yijin Wang, Hailin Yue, Hulin Kuang, Jianxin Wang
2025 J jnl
Segmentation-Guided Deep Learning for Glioma Survival Risk Prediction with Multimodal MRI.
Big Data Min. Anal.
Jianhong Cheng, Hulin Kuang, Songhan Yang, Hailin Yue, Jin Liu, Jianxin Wang
2025 A* conf
Stability and Generalization for Stochastic (Compositional) Optimizations.
IJCAI
Xiaokang Pan, Jin Liu, Hulin Kuang, Youqi Li, Lixing Chen, Zhe Qu
2025 — conf
Tetra-Orientated Mamba with T2-FLAIR Mismatch Features for Glioma Segmentation, IDH Genotyping, and Grading.
MICCAI (10)
Xinyu Li, Jin Liu, Hulin Kuang, Yuanzhuo Wang, Jianxin Wang
2025 — conf
VisNet: A Human Visual System Inspired Lightweight Dual-Path Network for Medical Images DenoisingYue, HailinKuang, HulinMa, LeiLiu, JinLi, JunjianCheng, JianhongWang, Jianxin.
MICCAI (13)
Hailin Yue, Hulin Kuang, Lei Ma, Jin Liu, Junjian Li, Jianhong Cheng, Jianxin Wang
2025 — conf
Wavelet Multi-Dimensional and Mamba-Guided Semantic Graph Feature Fusion Network for Glioma Grading.
BIBM
Adeel Ahmed Abbasi, Hulin Kuang, Xinyu Li, Jianxin Wang
2024 — conf
Combining CNN and Self-attention-Free Transformer Using Local-Global Attention Fusion for Lung Cancer Segmentation.
ICIC (LNBI 2)
Jiancun Zhou, Hulin Kuang, Yahui Wang, Jianxin Wang
2024 — conf
Global Contrastive Learning with High-Quality Data in Large Vision-Language Models for Pathological Question Answering.
BIBM
Hulin Kuang, Suoni Liu, Haojie Zhang, Zhe Qu, Shichao Kan
2024 — conf
Hybrid CNN and Low-Complexity Transformer Network with Attention-Based Feature Fusion for Predicting Lung Cancer Tumor After Neoadjuvant Chemoimmunotherapy.
ISBRA (1)
Jiancun Zhou, Hulin Kuang, Yahui Wang, Jianxin Wang
2024 J jnl
Hybrid CNN-Transformer Network With Circular Feature Interaction for Acute Ischemic Stroke Lesion Segmentation on Non-Contrast CT Scans.
IEEE Trans. Medical Imaging
Hulin Kuang, Yahui Wang, Jin Liu, Jie Wang, Quanliang Cao, Bo Hu, Wu Qiu, Jianxin Wang
2024 — conf
Local-Global Spatio-Temporal Encoding with Adaptive Brain Region Signal Segmentation for Mild Cognitive Impairment Detection.
BIBM
Jie Wang, Luohuang Wu, Hulin Kuang
2024 J jnl
MMGK: Multimodality Multiview Graph Representations and Knowledge Embedding for Mild Cognitive Impairment Diagnosis.
IEEE Trans. Comput. Soc. Syst.
Jin Liu, Hao Du, Rui Guo, Harrison X. Bai, Hulin Kuang, Jianxin Wang
2024 — conf
ViT-Based Multi-task Learning Method for Pulmonary Embolism Detection, Localization, and Type Classification.
ICIC (LNBI 2)
Ammar Nassr Mohammed, Hulin Kuang, Jianxin Wang
2023 — conf
A Fully Automated CT-Guided Learning for Survival Prediction of Esophageal Cancer.
BIBM
Hailin Yue, Jin Liu, Hulin Kuang, Jianhong Cheng, Junjian Li, Jianxin Wang
2023 J jnl
Asymmetric Patch Sampling for Contrastive Learning.
CoRR
Chengchao Shen, Jianzhong Chen, Shu Wang, Hulin Kuang, Jin Liu, Jianxin Wang
2023 J jnl
BEA-Net: Body and Edge Aware Network With Multi-Scale Short-Term Concatenation for Medical Image Segmentation.
IEEE J. Biomed. Health Informatics
Hulin Kuang, Yahui Wang, Yixiong Liang, Jin Liu, Jianxin Wang
2023 — conf
Domain-specific Knowledge Guided Self-supervised Learning for Pathological Image Segmentation.
BIBM
Chenhui Wang, Hulin Kuang, Jin Liu, Junjian Li, Hailin Yue, Jianxin Wang
2023 J jnl
Exploring Contextual Relationships for Cervical Abnormal Cell Detection.
IEEE J. Biomed. Health Informatics
Yixiong Liang, Shuo Feng, Qing Liu, Hulin Kuang, Jianfeng Liu, Liyan Liao, Yun Du, Jianxin Wang
2023 — conf
Improving Medical Image Denoising via a Lightweight Plug-and-play Module.
BIBM
Lei Ma, Hulin Kuang, Jin Liu, Chengchao Shen, Jianxin Wang
2023 J jnl
LGTRL-DE: Local and Global Temporal Representation Learning with Demographic Embedding for in-hospital mortality prediction.
J. Biomed. Informatics
Mengjie Zou, Ying An, Hulin Kuang, Jianxin Wang
2023 — conf
M
BIBM
Jingxiao Yao, Jin Liu, Jianhong Cheng, Hulin Kuang, Jian-Xin Wang
2023 J jnl
Multi-modal Multi-kernel Graph Learning for Autism Prediction and Biomarker Discovery.
CoRR
Junbin Mao, Jin Liu, Hanhe Lin, Hulin Kuang, Shirui Pan, Yi Pan
2023 J jnl
RBS-Net: Hippocampus segmentation using multi-layer feature learning with the region, boundary and structure loss.
Comput. Biol. Medicine
Yu Chen, Hailin Yue, Hulin Kuang, Jianxin Wang
2022 J jnl
A Fully Automated Multimodal MRI-Based Multi-Task Learning for Glioma Segmentation and IDH Genotyping.
IEEE Trans. Medical Imaging
Jianhong Cheng, Jin Liu, Hulin Kuang, Jianxin Wang
2022 — conf
Attention-based Memory Fusion Network for Clinical Outcome Prediction using Electronic Medical Records.
BIBM
Abdulrahman Al-Dailami, Hulin Kuang, Jianxin Wang
2022 J jnl
DARC: Deep adaptive regularized clustering for histopathological image classification.
Medical Image Anal.
Junjian Li, Jin Liu, Hailin Yue, Jianhong Cheng, Hulin Kuang, Harrison X. Bai, Yu-Ping Wang, Jianxin Wang
2022 J jnl
DWT-CV: Dense weight transfer-based cross validation strategy for model selection in biomedical data analysis.
Future Gener. Comput. Syst.
Jianhong Cheng, Hulin Kuang, Qichang Zhao, Yahui Wang, Lei Xu, Jin Liu, Jianxin Wang
2022 J jnl
Exploring Contextual Relationships for Cervical Abnormal Cell Detection.
CoRR
Yixiong Liang, Shuo Feng, Qing Liu, Hulin Kuang, Jianfeng Liu, Liyan Liao, Yun Du, Jianxin Wang
2022 — conf
Integrating Multi-scale Feature Representation and Ensemble Learning for Schizophrenia Diagnosis.
BIBM
Manna Xiao, Hulin Kuang, Jin Liu, Yan Zhang, Yizhen Xiang, Jianxin Wang
2022 J jnl
MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images.
Medical Image Anal.
Hailin Yue, Jin Liu, Junjian Li, Hulin Kuang, Jinyi Lang, Jianhong Cheng, Lin Peng, Yongtao Han, Harrison X. Bai, Yu-Ping Wang, Qifeng Wang, Jianxin Wang
2022 — conf
MVSF: Multi-View Signature Fusion Network for Noninvasively Predicting Ki67 Status.
BIBM
Xinyu Li, Jianhong Cheng, Jin Liu, Hulin Kuang, Chengchao Shen, Pei Yang, Jianxin Wang
2022 J jnl
Multimodal Disentangled Variational Autoencoder With Game Theoretic Interpretability for Glioma Grading.
IEEE J. Biomed. Health Informatics
Jianhong Cheng, Min Gao, Jin Liu, Hailin Yue, Hulin Kuang, Jun Liu, Jianxin Wang
2022 J jnl
Predicting length of stay in ICU and mortality with temporal dilated separable convolution and context-aware feature fusion.
Comput. Biol. Medicine
Abdulrahman Al-Dailami, Hulin Kuang, Jianxin Wang
2021 — conf
ARSC-Net: Adventitious Respiratory Sound Classification Network Using Parallel Paths with Channel-Spatial Attention.
BIBM
Lei Xu, Jianhong Cheng, Jin Liu, Hulin Kuang, Fan Wu, Jianxin Wang
2021 — conf
BEA-SegNet: Body and Edge Aware Network for Medical Image Segmentation.
BIBM
Hulin Kuang, Yixiong Liang, Ning Liu, Jin Liu, Jianxin Wang
2021 J jnl
EIS-Net: Segmenting early infarct and scoring ASPECTS simultaneously on non-contrast CT of patients with acute ischemic stroke.
Medical Image Anal.
Hulin Kuang, Bijoy K. Menon, Sung Il Sohn, Wu Qiu
2021 — conf
MTFIL-Net: automated Alzheimer's disease detection and MMSE score prediction based on feature interactive learning.
BIBM
Jin Liu, Xu Tian, Jianxin Wang, Rui Guo, Hulin Kuang
2020 J jnl
BITPNet: Unsupervised Bio-Inspired Two-Path Network for Nighttime Traffic Image Enhancement.
IEEE Access
Pengjie Tao, Hulin Kuang, Yansong Duan, Liang Zhong, Wu Qiu
2019 J jnl
An Adaptive Method for Image Dynamic Range Adjustment.
IEEE Trans. Circuits Syst. Video Technol.
Kai-Fu Yang, Hui Li, Hulin Kuang, Chao-Yi Li, Yong-Jie Li
2019 — conf
Automated Infarct Segmentation from Follow-up Non-Contrast CT Scans in Patients with Acute Ischemic Stroke Using Dense Multi-Path Contextual Generative Adversarial Network.
MICCAI (3)
Hulin Kuang, Bijoy K. Menon, Wu Qiu
2019 J jnl
Automated brain extraction from head CT and CTA images using convex optimization with shape propagation.
Comput. Methods Programs Biomed.
Mohamed Najm, Hulin Kuang, Alyssa Federico, Uzair Jogiat, Mayank Goyal, Michael D. Hill, Andrew Demchuk, Bijoy K. Menon, Wu Qiu
2019 J jnl
Feature Selection Based on Tensor Decomposition and Object Proposal for Night-Time Multiclass Vehicle Detection.
IEEE Trans. Syst. Man Cybern. Syst.
Hulin Kuang, Long Chen, Leanne Lai-Hang Chan, Ray C. C. Cheung, Hong Yan
2019 J jnl
Segmenting Hemorrhagic and Ischemic Infarct Simultaneously From Follow-Up Non-Contrast CT Images in Patients With Acute Ischemic Stroke.
IEEE Access
Hulin Kuang, Bijoy K. Menon, Wu Qiu
2018 J jnl
Bayes Saliency-Based Object Proposal Generator for Nighttime Traffic Images.
IEEE Trans. Intell. Transp. Syst.
Hulin Kuang, Kai-Fu Yang, Long Chen, Yong-Jie Li, Leanne Lai-Hang Chan, Hong Yan
2018 J jnl
Cascade feature selection and coarse-to-fine mechanism for nighttime multiclass vehicle detection.
J. Electronic Imaging
Yansong Duan, Hulin Kuang, Wu Qiu, Leanne Lai-Hang Chan, Hong Yan
2018 — conf
Joint Segmentation of Intracerebral Hemorrhage and Infarct from Non-Contrast CT Images of Post-treatment Acute Ischemic Stroke Patients.
MICCAI (3)
Hulin Kuang, Mohamed Najm, Bijoy K. Menon, Wu Qiu
2018 J jnl
Multi-class fruit detection based on image region selection and improved object proposals.
Neurocomputing
Hulin Kuang, Cairong Liu, Leanne Lai-Hang Chan, Hong Yan
2017 J jnl
Nighttime Vehicle Detection Based on Bio-Inspired Image Enhancement and Weighted Score-Level Feature Fusion.
IEEE Trans. Intell. Transp. Syst.
Hulin Kuang, Xian-Shi Zhang, Yong-Jie Li, Leanne Lai-Hang Chan, Hong Yan
2017 J jnl
Turn Signal Detection During Nighttime by CNN Detector and Perceptual Hashing Tracking.
IEEE Trans. Intell. Transp. Syst.
Long Chen, Xuemin Hu, Tong Xu, Hulin Kuang, Qingquan Li
2016 J jnl
Combining Region-of-Interest Extraction and Image Enhancement for Nighttime Vehicle Detection.
IEEE Intell. Syst.
Hulin Kuang, Long Chen, Feng Gu, Jiajie Chen, Leanne Lai Chan, Hong Yan
2016 J jnl
Fruit classification based on weighted score-level feature fusion.
J. Electronic Imaging
Hulin Kuang, Leanne Lai Chan, Cairong Liu, Hong Yan
2014 J jnl
MutualCascade method for pedestrian detection.
Neurocomputing
Hulin Kuang, Yanwen Chong, Qingquan Li, Chunhou Zheng
2012 — conf
Float Cascade Method for Pedestrian Detection.
ICIC (3)
Yanwen Chong, Qingquan Li, Hulin Kuang, Chun-Hou Zheng
2012 — conf
MutualCascade Method for Pedestrian Detection.
ICIC (3)
Yanwen Chong, Qingquan Li, Hulin Kuang, Chun-Hou Zheng