[1] interactive attention and improved gcn for continuous sign language recognition, biomedical signal processing and control (accepted, sci二区)
[2] qi guo, shujun zhang, hui li, continuous sign language recognition based on spatial-temporal graph attention network, cmes-computer modeling in engineering & sciences, 2022,134 (3): 1653-1670（sci四区）
[3] 张淑军，彭中，李辉，sau-net：基于u-net和自注意力机制的医学图像分割方法，电子学报，2022，50（10）：2433-2442（ei，ccf a类期刊）
[4] 叶康，张淑军，郭淇，李辉，崔雪红，用于连续手语识别的cm-transformer方法，北京邮电大学学报，2022（ei）
[5] shujun zhang, qun zhang, sign language recognition based on global-local attention, journal of visual communication and image representation, 80(2021): 103280（sci三区）
[6] shujun zhang, shuhao xu, liwei tan, hongyan wang, jianli meng,stroke lesion detection and analysis in mri images based on deep learning, journal of healthcare engineering, vol(2021), pp:1-9（sci四区）
[7] 张淑军，张群，李辉，基于深度学习的手语识别综述，电子与信息学报，2020，42（4）：1021-1032（ei）
[8] shujun zhang, weijia meng, hui li, xuehong cui, multimodal spatiotemporal networks for sign language recognition, ieee access, 2019, vol(7): 180270-180280（sci二区）
[9] shujun zhang, wenxiao liu, single image 3d reconstruction based on control point grid, multimedia tools and applications, 2018, 77(24):31875-31893（sci四区）
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