1993.09-1997.07，国防科技大学机电工程与仪器系，机械电子工程专业，工学学士； 1997.09-2000.03，国防科技大学机电工程与自动化学院，机械电子工程专业，工学硕士； 2005.03-2009.07，东北大学信息科学与工程学院，模式识别与智能系统专业，工学博士； 2011.07-2015.11，东北大学-沈阳新松机器人自动化有限公司，博士后。

工作经历 2000.03-2004.09 空军沈阳军事代表局，助工、工程师 2004.10-2009.12 东北大学信息科学与工程学院讲师 2010.01-2014.12 东北大学信息科学与工程学院副教授 2015.01至今东北大学信息科学与工程学院/机器人科学与工程学院 教授、博士生导师

项目 纵向—— [1]2020.01-2023.12，国家自然科学基金（面上）《面向室内动态环境的语义SLAM关键技术》，编号：61973066； [2]2019.07-2020.12，装备预研领域基金《基于多目视觉的机器人环境建模方法》，编号：61403120111； [3]2019.07-2020.12，国防重点实验室基金项目《基于语义理解的智能化多元AR环境自动生成方法》，编号：6142002301； [4]2019.01-2021.12，教育部中央高校基本科研业务费重大项目《基于现实场景ᠦ୔

期刊论文 1. Chongkun Xia, Yunzhou Zhang*, I-Ming Chen. Learning sampling distribution for motion planning with local reconstruction-based self-organizing incremental neural network[J]. Neural Computing and Applications, 2019: 1-21.(SCI) 2. Yixiu Liu, Yunzhou Zhang*, Sonya A. Coleman, et al. A new patch selection method based on parsing and saliency detection for person re-identification[J]. Neurocomputing, 2019: 1-12. (SCI) 3. Linzhuo Pang, Yunzhou Zhang*, Sonya Coleman, et al. Efficient Hybrid-Supervised Deep Reinforcement Learning for Person Following Robot[J]. Journal of Intelligent & Robotic Systems, 2019: 1-14.(SCI) 4. Jiwei Liu, Yunzhou Zhang*, Jiahua Cui, Yonghui Feng, Linzhuo Pang. Fully convolutional multi-scale dense networks for monocular depth estimation[J]. IET Computer Vision, 2019(SCI, doi: 10.1049/iet-cvi.2018.5645). 5. Chongkun Xia, Yunzhou Zhang*, Lei Wang, Sonya Coleman, YanboLiu. Microservice-based cloud robotics system for intelligent space[J]. Robotics and Autonomous Systems, 2018, 110: 139-150. (SCI) 6. Yunzhou Zhang, Shanbao Yang, Xiaolin Su, Enyi Shi, Handuo Zhang. Automatic reading of domestic electric meter: an intelligent device based on image processing and ZigBee/Ethernet communication[J]. Journal of Real-Time Image Processing, 2016, 12(1): 133-143. (SCI) 7. 高成强, 张云洲*, 王晓哲, 邓毅, 姜浩. 面向室内动态环境的半直接法RGB-D SLAM算法[J]. 机器人, 2019, 41(3): 372-383. 8. 胡美玉, 张云洲*, 秦操, 刘桐伯. 基于深度卷积神经网络的环境语义地图构建[J]. 机器人, 2019, 41(4):452-463. 9. 张云洲, 孙永生, 夏崇坤, et al. 融合长短时记忆机制的机械臂多场景快速运动规划[J]. 控制与决策, 2019(EI期刊，在线发表). 10. 张云洲, 胡航, 秦操, 楚好, 吴运幸. 基于栈式卷积自编码的视觉SLAM闭环检测[J]. 控制与决策, 2019, 34(05): 88-95. 会议论文 1. Shuangwei Liu, Yunzhou Zhang*, Lin Qi, Sonya Coleman, Dermot Kerr, Shangdong Zhu. Adversarially Erased Learning for Person Re-identification by Fully Convolutional Networks[C]//2019 International Joint Conference on Neural Networks (IJCNN), IEEE, 2019: 1-8. 2. Chongkun Xia, Yunzhou Zhang*, Yanli Shang, Tongbo Liu, Junyi Wang. Reasonable Grasping based on Hierarchical Decomposition Models of Unknown Objects[C]. 15th International Conference on Control, Automation, Robotics and Vision(ICARCV), 2018: 1953-1958. 3. Shangdong Zhu, Yunzhou Zhang*, Liang Tao, Tongbo Liu, Yanjiao Liu. A Novel Method for Quality Assessment of Image Stitching Based on the Gabor Filtering[C]. IEEE International Conference on Information and Automation(ICIA), China, August 2018: 1621-1626. 4. Yixiu Liu, Yunzhou Zhang*, Meiyu Hu, Pengju Si, etc. Fast tracking via spatio-temporal context learning based on multi-color attributes and PCA[C]. 14th IEEE International Conference on Intelligent and Automation (ICIA), 2017: 398-403. 5. Chongkun Xia, Yunzhou Zhang*, Pengfei Zhang, Cao Qin, et al. Multi-RPN Fusion-based Sparse PCA-CNN Approach to Object Detection and Recognition for Robot-aided Visual System[C]. 7th IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent System, 2017: 394-399. 6. Hang Hu, Yunzhou Zhang*, Qiang Duan, Meiyu Hu, et al. Loop Closure Detection for Visual SLAM Based on model of deep learning[C]. 7th IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent System, 2017: 1214-1219.

专利 [1]张云洲，林淮佳，张珊珊，楚好，刘及惟，商艳丽，张凯. 一种基于最小分支代价聚合的立体匹配方法. 发明专利，ZL201710416336.X，授权公告日：2019.11.08，中国 [2]张云洲，张珊珊，刘及惟，楚好，姜浩，商艳丽，张凯. 一种基于Tarjan算法和区域连接的图像分割方法. 发明专利，ZL201710416337.4，授权公告日：2019.08.09，中国 [3]张云洲，刘及惟，林淮佳，楚好，张珊珊，商艳丽，张凯. 一种基于特征融合的最小分支立体匹配方法. 发明专利，ZL2ᠦ୔