A Research on Exception Monitoring and Handling. - Weijian Huang; Shuo Liang; Yuanyuan Shi (NCM, 2009)

Research on Project Target Optimization and Decision-Making Based on MAUFT and AHM. - Weijian Huang; Juwei Yan; Fei Wang (NCM, 2009)

Research on the Application of Web Mining Framework in E-commerce Based on Mobile Agent. - Weijian Huang; Xuqian Zhou; Nianpeng Wang (NCM, 2009)

CLCI-Net: Cross-Level Fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke. - Hao Yang 026; Weijian Huang; Kehan Qi; Cheng Li 008; Xinfeng Liu; Meiyun Wang; Hairong Zheng; Shanshan Wang 002 (MICCAI (3), 2019)

Classify Motor Imagery by a Novel CNN with Data Augmentation. - Weijian Huang; Li Wang 067; Zhenxiong Yan; Yanjun Liu (EMBC, 2020)

Deep Hybrid Neural Network and Improved Differential Neuroevolution for Chaotic Time Series Prediction. - Weijian Huang; Yongtao Li; Yuan Huang (IEEE Access, 2020)

A method from offline analysis to online training for the brain-computer interface based on motor imagery and speech imagery. - Li Wang 067; Weijian Huang; Zhao Yang 001; Xiao Hu; Chun Zhang (Biomed. Signal Process. Control., 2020)

Temporal-spatial-frequency depth extraction of brain-computer interface based on mental tasks. - Li Wang 067; Weijian Huang; Zhao Yang 001; Chun Zhang (Biomed. Signal Process. Control., 2020)

A coarse-to-fine framework for unsupervised multi-contrast MR image deformable registration with dual consistency constraint. - Weijian Huang; Hao Yang 026; Xinfeng Liu; Cheng Li 008; Ian Zhang 002; Rongpin Wang; Hairong Zheng; Shanshan Wang 002 (CoRR, 2020)

A hyperbolic embedding for scale-free networks. - Xin Shen; Weijian Huang; Jing Gong; Zhixin Sun (DASC/PiCom/CBDCom/CyberSciTech, 2021)

D-UNet: A Dimension-Fusion U Shape Network for Chronic Stroke Lesion Segmentation. - Yongjin Zhou 002; Weijian Huang; Pei Dong; Yong Xia 001; Shanshan Wang 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

A Coarse-to-Fine Deformable Transformation Framework for Unsupervised Multi-Contrast MR Image Registration with Dual Consistency Constraint. - Weijian Huang; Hao Yang 026; Xinfeng Liu; Cheng Li 008; Ian Zhang 002; Rongpin Wang; Hairong Zheng; Shanshan Wang 002 (IEEE Trans. Medical Imaging, 2021)

Research on Modeling and Simulation Method of Laser System for Multi-domain Unified Model. - Weijian Huang; Dong Li; Tao Ma; Siqiang Yi; Baoran An (AsiaSim (2), 2022)

Edge Guided Learning for Image Super-resolution with Realistic Textures. - Zhan Li 004; Ziyi Zhong; Zhitao Chen; Gengqi Yao; Xi Chen; Weijian Huang (IJCNN, 2022)

Rethinking the Optimization Process for Self-supervised Model-Driven MRI Reconstruction. - Weijian Huang; Cheng Li 008; Wenxin Fan; Ziyao Zhang; Tong Zhang 017; Yongjin Zhou 002; Qiegen Liu; Shanshan Wang 002 (MLMIR@MICCAI, 2022)

Cross attention fusion for knowledge graph optimized recommendation. - Weijian Huang; Jianhua Wu; Weihu Song; Zehua Wang (Appl. Intell., 2022)

Rethinking the optimization process for self-supervised model-driven MRI reconstruction. - Weijian Huang; Cheng Li 008; Wenxin Fan; Yongjin Zhou 002; Qiegen Liu; Hairong Zheng; Shanshan Wang 002 (CoRR, 2022)

Semi-Supervised and Self-Supervised Collaborative Learning for Prostate 3D MR Image Segmentation. - Yousuf Babiker M. Osman; Cheng Li 008; Weijian Huang; Nazik Elsayed; Zhenzhen Xue; Hairong Zheng; Shanshan Wang 002 (CoRR, 2022)

Digest: Deeply Supervised Knowledge Transfer Network Learning for Brain Tumor Segmentation with Incomplete Multi-Modal MRI Scans. - Haoran Li; Cheng Li 008; Weijian Huang; Xiawu Zheng; Yan Xi; Shanshan Wang 002 (ISBI, 2023)

Uncertainty-Aware Multi-Parametric Magnetic Resonance Image Information Fusion for 3D Object Segmentation. - Cheng Li 008; Yousuf Babiker M. Osman; Weijian Huang; Zhenzhen Xue; Hua Han; Hairong Zheng; Shanshan Wang 002 (ISBI, 2023)

Semi-Supervised and Self-Supervised Collaborative Learning for Prostate 3D MR Image Segmentation. - Yousuf Babiker M. Osman; Cheng Li 008; Weijian Huang; Nazik Elsayed; Leslie Ying; Hairong Zheng; Shanshan Wang 002 (ISBI, 2023)

Adaptive PromptNet for Auxiliary Glioma Diagnosis Without Contrast-Enhanced MRI. - Yeqi Wang; Weijian Huang; Cheng Li 008; Xiawu Zheng; Yusong Lin; Shanshan Wang 002 (ISBI, 2023)

MGA: Medical generalist agent through text-guided knowledge transformation. - Weijian Huang; Hao Yang 026; Cheng Li 008; Mingtong Dai; Rui Yang; Shanshan Wang 002 (CoRR, 2023)

Few-shot Class-incremental Learning for Cross-domain Disease Classification. - Hao Yang 026; Weijian Huang; Jiarun Liu; Cheng Li 008; Shanshan Wang 002 (CoRR, 2023)

Enhancing Representation in Radiography-Reports Foundation Model: A Granular Alignment Algorithm Using Masked Contrastive Learning. - Weijian Huang; Cheng Li 008; Hao Yang 026; Jiarun Liu; Shanshan Wang 002 (CoRR, 2023)

Collaborative Learning for Annotation-Efficient Volumetric MR Image Segmentation. - Yousuf Babiker M. Osman; Cheng Li 008; Weijian Huang; Shanshan Wang 002 (CoRR, 2023)

Enhancing Representation in Medical Vision-Language Foundation Models Via Multi-Scale Information Extraction Techniques. - Weijian Huang; Cheng Li 008; Hong-Yu Zhou; Jiarun Liu; Hao Yang 026; Yong Liang; Guangming Shi; Hairong Zheng; Shanshan Wang 002 (ISBI, 2024)

Mlip: Medical Language-Image Pre-Training With Masked Local Representation Learning. - Jiarun Liu; Hong-Yu Zhou; Cheng Li 008; Weijian Huang; Hao Yang 026; Yong Liang; Guangming Shi; Hairong Zheng; Shanshan Wang 002 (ISBI, 2024)

Multimodal Self-Supervised Learning for Lesion Localization. - Hao Yang 026; Hong-Yu Zhou; Cheng Li 008; Weijian Huang; Jiarun Liu; Yong Liang; Guangming Shi; Hairong Zheng; Qiegen Liu; Shanshan Wang 002 (ISBI, 2024)

Multimodal self-supervised learning for lesion localization. - Hao Yang 026; Hong-Yu Zhou; Cheng Li 008; Weijian Huang; Jiarun Liu; Yong Liang; Shanshan Wang 002 (CoRR, 2024)

Enhancing the medical foundation model with multi-scale and cross-modality feature learning. - Weijian Huang; Cheng Li 008; Hong-Yu Zhou; Jiarun Liu; Hao Yang 026; Yong Liang; Shanshan Wang 002 (CoRR, 2024)

MLIP: Medical Language-Image Pre-training with Masked Local Representation Learning. - Jiarun Liu; Hong-Yu Zhou; Cheng Li 008; Weijian Huang; Hao Yang 026; Yong Liang; Shanshan Wang 002 (CoRR, 2024)

Generalizable vision-language pre-training for annotation-free pathology localization. - Hao Yang 026; Hong-Yu Zhou; Cheng Li 008; Weijian Huang; Jiarun Liu; Shanshan Wang 002 (CoRR, 2024)

Enhancing the vision-language foundation model with key semantic knowledge-emphasized report refinement. - Cheng Li 008; Weijian Huang; Hao Yang 026; Jiarun Liu; Shanshan Wang 002 (CoRR, 2024)

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction. - Dongning Song; Weijian Huang; Jiarun Liu; Md Jahidul Islam; Hao Yang; Shanshan Wang (CoRR, 2024)

Enhancing the vision-language foundation model with key semantic knowledge-emphasized report refinement. - Weijian Huang; Cheng Li 008; Hao Yang; Jiarun Liu; Yong Liang; Hairong Zheng; Shanshan Wang (Medical Image Anal., 2024)

A global and local information extraction model incorporating selection mechanism for abstractive text summarization. - Yuanyuan Li; Yuan Huang; Weijian Huang; Wei Wang (Multim. Tools Appl., 2024)

BioVFM-21M: Benchmarking and Scaling Self-Supervised Vision Foundation Models for Biomedical Image Analysis. - Jiarun Liu; Hong-Yu Zhou; Weijian Huang; Hao Yang 026; Dongning Song; Tao Tan 002; Yong Liang; Shanshan Wang 002 (CoRR, 2025)