刘汉强

副教授 Supervisor of Master's Candidates

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梁坤元,刘汉强,An Effective Teacher Behavior Recognition Method Based on Teaching-focused Regions Extraction and Teacher Mask Data Augmentation:2024 6th International Conference on Computer Science and Technologies in Education,2024.12.16,2024:200-206
刘汉强,陈潇,Learning behavior feature fused deep learning network model for MOOC dropout prediction:Education and Information Technologies,2024.1.1,29:3257–3278
逯思培,liuhanqiang,郭向凯,A ConvMixEst and Multi-attention UNet for Intervertebral Disc Segmentation in Multi-modal MRI:International Conference on Intelligent Computing,2023.7.31,14090:137–146
liuhanqiang,逯思培,赵凤,MLP-Res-Unet: MLPs and Residual Blocks-based U-shaped Network Intervertebral Disc Segmentation of Multi-modal MR Spine Images:Current Medical Imaging,2023.4.17,20:e170423215841
liuhanqiang,张雯晴,A Hybrid Deep Learning Model for MOOCs Dropout Prediction:2022 4th International Conference on Computer Science and Technologies in Education (CSTE),2022.12.15,2022:178-183
赵凤,liuhanqiang,曹璐璐,汤子涵,范九伦,Particle_Competitive_Mechanism-Based_Multi-objective_Rough_Clustering_Algorithm_for_Image_Segmentation:IEEE TRANSACTIONS ON FUZZY SYSTEMS,2022.10.15,30(10):4127-4141

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