赵洲
职称：讲师
物联网工程系
邮箱：zhaozhou@ccnu.edu.cn
研究方向：深度学习、机器人、医疗图像分割
办公地址：华中师范大学南湖综合楼7086
个人简历
博士，讲师。目前在国内外期刊、会议发表论文20多篇，已授权发明专利5项。2023年入选国家资助博士后研究人员计划，2020年入选2012-2019年度中国精品科技期刊顶尖学术论文，2021年入选2017-2020年《航空学报》高影响力论文。获2013年“中国机器人大赛暨RoboCup公开赛——舞蹈机器人大学组（自创双足人形）”季军，2015年本科优秀毕业设计，2016年研究生数学建模比赛二等奖，2017年研究生国家奖学金，2018年优秀毕业研究生，MICCAI2018-STACOM2018心脏分割挑战赛第三名，MICCAI2019-STACOM2019心脏左心室分割与质量评估挑战赛第三名等。
工作经历
2023.07-至今 讲师 华中师范大学计算机学院
2022.10-2023.02 助理研究员 法国高等信息工程师学院
教育背景
2018.10-2023.01 博士，索邦大学，法国巴黎
2015.09-2018.04 硕士，西北工业大学，陕西西安
2011.09-2015.06 学士，西北农林科技大学，陕西杨凌
发明专利
ZL201410012905.0、ZL201310394262.6、ZL201310385628.3、ZL201310399288.X、ZL201611174831.6
学术论文
l Zhao Z., et al. Tactile-based Grasping Stability Prediction based on Human Grasp Demonstration for Robot Manipulation IEEE Robotics and Automation Letters. 2024.
l Lu Z.#, Yue T.#, Zhao Z. #, et al. MechTac: A Multi-sensitivity Tendon-linked Optical Tactile Sensor for in/out-the-field-of-view Perception with Deep Learning. 49th Annual Conference of the IEEE Industrial Electronics Society (IECON), 2023.
l Lu Z., Zhao Z., et al. A Bio-inspired Multi-sensitivity Tendon-driven Tactile Sensor and Application in Obstacle Avoidance using Reinforcement Learning, IEEE Transactions on Cognitive and Developmental Systems. 2023.
l Lu Z., Chen L., Dai H., Li H., Zhao Z., et al. Visual-Tactile Robot Grasping based on Human Skill Learning from Demonstrations using A Wearable Parallel Hand Exoskeleton. IEEE Robotics and Automation Letters. 2023.
l Zhao Z., et al. Multi-purpose Tactile Perception Based on Deep Learning in a New Tendon-driven Optical Tactile Sensor. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022: 2099-2104.
l Zhao Z., et al. FOANet: A Focus of Attention Network with Application to Myocardium Segmentation[C]// 2020 25th International Conference on Pattern Recognition (ICPR).
l Zhao Z., et al. Do not Treat Boundaries and Regions Differently: An Example on Heart Left Atrial Segmentation[C]// 2020 25th International Conference on Pattern Recognition (ICPR).
l Zhao Z., et al.. Stacked and Parallel U-Nets with Multi-output for Myocardial Pathology Segmentation. Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images. MyoPS 2020.
l Zhao Z., et al.. A Two-Stage Temporal-Like Fully Convolutional Network Framework for Left Ventricle Segmentation and Quantification on MR Images. Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges. STACOM 2019.
l Zhao Z., et al. Augmented Reality for Enhancing Tele-robotic System with Force Feedback[J]. Robotics and Autonomous Systems, 2017, 96: 93-101.
l 赵洲, 黄攀峰，陈路. 一种融合卡尔曼滤波的时空上下文跟踪算法[J]. 航空学报, 2017, 38(2): 320306-1-11.
l Zhao Z., et al..Visual Tracking and Grasping of Moving Objects and Its Application to an Industrial Robot[C]// The 2017 IEEE International Conference on Real-time Computing and Robotics (IEEE-RCAR 2017). Okinawa, 2017.
l Li L., Wu F. , …, Zhao Z. , et al. Myocardial Pathology Segmentation from Multi-Sequence Cardiac Magnetic Resonance: A Benchmark Study [J], Medical Image Analysis, 2023: 102808.
l Puybareau É, Zhao Z.. et al. Left Atrial Segmentation in a Few Seconds Using Fully Convolutional Network and Transfer Learning. Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges. STACOM 2018.
l Chen L., Huang P., and Zhao Z.. Refining Object Proposals Using Structured Edge and Superpixel Contrast in Robotic Grasping[J]. Robotics and Autonomous Systems, 2018, 100: 194-205.
l Chen L., Huang P., and Zhao Z.. Saliency based Proposal Refinement in Robotic Vision[C]// The 2017 IEEE International Conference on Real-time Computing and Robotics (IEEE-RCAR 2017). Okinawa, 2017.
当前位置:
