Ph.D., second-level professor, doctoral supervisor, is now the executive vice president of the School of Computer Science and Engineering, "computer vision and systems" key laboratory director of the Ministry of Education, 2009 won the title of national outstanding teacher, in 2010 won the title of Tianjin model labor. His main research areas are remote sensing image understanding, pattern recognition, computer vision, multimedia analysis, and information hiding.
1.Gengsheng Xie, Xianbin Wen, Liming Yuan, Haixia Xu, Zhanlu Liu, Global Correlative Network for Person re-identification, Neurocomputing, 2022. 2．Xinyu Wang , Liming Yuan , Haixia Xu, Xianbin Wen，CSDS End-to-end Aerial Scenes Classification with Depthwise Separable Convolution and an Attention Mechanism，IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021. 3．Ruixu Wu，Xianbin Wen，Zhanlu Liu，Liming Yuan，Haixia Xu，STASiamRPN: visual tracking based on spatiotemporal and attention，Multimedia Systems，2021. 4．Sun, Kun,Xu, Haixia,Yuan, Liming,Wen, Xianbin, A tiny deep capsule network, International Journal of Machine Learning and Cybernetics, 2021. 5．Kun Sun, Xianbin Wen, Liming Yuan, Haixia Xu, Dense capsule networks with fewer parameters, Soft Computing, April 2021. 6．Wang Jianchen, Yuan Liming, Xu Haixia, Xie Gengsheng, Wen Xianbin, Channel-exchanged feature representations for person re-identification，Information Sciences，2021. 7．Gengsheng Xie, Xianbin Wen, Liming Yuan, Jianchen Wang, Changlun Guo, Yansong Jia, Minghao Li, Pose‑guided feature region‑based fusion network for occluded person re‑identification, Multimedia Systems,2021. 8．Wang, Jianchen; Zhang, Jianguang; Wen, Xianbin，Non-full multi-layer feature representations for person re-identification，Multimedia Tools and Applications, 2021. 9．Changlun Guo，Xianbin Wen，Liming Yuan，Haixia Xu，Local-Variance-based Attention for Visual Tracking， ICME 2020, 2020. 10．10Zhenliang Li, Liming Yuan, Haixia Xu, Rui Cheng, and Xianbin Wen, Deep Multi- Instance Learning with Induced Self-Attention for Medical Image Classification，IEEE BIBM 2020, 2020.
1.Tianjin a new generation of artificial intelligence technology major special project, “multi-grain visual monitoring data intelligent analysis method research”. 2.National 863 key project sub-project: "Virtual Moon key technologies and methods of research". 3.National Natural Science Foundation project: "Research on the three-dimensional reconstruction of large-scale SAR images based on compression perception and their algorithms". 4. National Fund for Nature project: “Research on multi-scale probabilistic map models and SAR image classification”. 5.Tianjin Natural Science Foundation: “Research on the Segmentation of Multiscale Map Models and Remote Sensing Images”. 6. Tianjin Natural Science Foundation, “Research on 3D Reconstruction Models and Algorithms for Targets of SAR Remote Sensing Image Urban Areas”.
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