[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）
