刘锐，自动化与电气工程学院，测控系,讲师 电子邮箱：ruiliu@gpnu.edu.cn 研究领域： 深度学习,微机器人及其自动化, 图像处理 主授课程： 计算机控制技术、电气控制与PLC技术等 教育经历： (1) 2020 至 2024 香港城市大学 博士 (2) 2013 至 2016 浙江大学 硕士 (3) 2009 至 2013 中南大学 学士 |
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工作经历（博士后工作经历除外）：
2016-07 至 2020-02 一汽-大众汽车有限公司 工程师
近五年主持或参加的科学研究项目/课题：
(1)香港研究资助局RGC优先资助项目，用于生殖细胞冷冻保存的新型微型机器人系统的开发，起止时间 2023-01至2025-12，结题，参与
近五年主持或参加的教学研究项目/课题：
代表性成果和学术奖励情况：
[1] W. Dai, R. Liu, Z. Wu, T. Wu, M. Wang, J. Zhou, Y. Yuan, and J. Liu, “Exploiting Scale-Variant Attention for Segmenting Small Medical Objects,” IEEE Transactions on Neural Networks and Learning Systems, 2025.
[2] M. Wang, W. Wu, Z. Zheng, W. Dai, T. Wu, R. Liu, Y. Xiang, S. Wang, J. Zhang, Z. Wang, and J. Liu, “Magnetically Actuated Momentum-Driven Millirobots,” Nature Communications, 2025.
[3] R. Liu, W. Dai, C. Wu, H. Guo, T. Wu, M. Wang, W. J. Li, and J. Liu, "Deep Learning-Based Microscopic Cell Detection using Inverse Distance Transform and Auxiliary Counting," IEEE Journal of Biomedical and Health Informatics, 2024.
[4] W. Dai, Z. Wu, R. Liu, T. Wu, M. Wang, J. Zhou, Z. Zhang, and J. Liu, "Automated Non-Invasive Analysis of Motile Sperms Using Sperm Feature-Correlated Network," IEEE Transactions on Automation Science and Engineering, 2024.
[5] W. Dai, T. Wu, R. Liu, M. Wang, J. Yin, and J. Liu, "Any region can be perceived equally and effectively on rotation pretext task using full rotation and weighted-region mixture," Neural Networks, 2024.
[6] R. Liu, Y. Zhu, C. Wu, H. Guo, W. Dai, T. Wu, M. Wang, W. J. Li, and J. Liu, "Interactive Dual Network with Adaptive Density Map for Automatic Cell Counting," IEEE Transactions on Automation Science and Engineering, 2023.
[7] W. Dai, R. Liu, T. Wu, M. Wang, J. Yin, and J. Liu, "Deeply Supervised Skin Lesions Diagnosis with Stage and Branch Attention," IEEE Journal of Biomedical and Health Informatics, 2023.
[8] K. Shang, T. Wu, X. Jin, Z. Zhang, C. Li, R. Liu, M. Wang, W. Dai, and J. Liu, "Coaxiality Prediction for Aeroengines Precision Assembly Based on Geometric Distribution Error Model and Point Cloud Deep Learning," Journal of Manufacturing Systems, 2023.
[9] R. Liu, W. Dai, T. Wu, M. Wang, S. Wan, and J. Liu, "AIMIC: Deep Learning for Microscopic Image Classification," Computer Methods and Programs in Biomedicine, 2022.
[10] M. Wang, J. Zhang, R. Liu, T. Wu, W. Dai, R. Liu, J. Zhang, and J. Liu, “Liquid Metal-Based Flexible Sensor for Perception of Force Magnitude, Location, and Contacting Orientation,” IEEE Transactions on Instrumentation and Measurement, 2022.
