一、 基本情况：
刘敏，男，湖南大学自动化系教授，博士生导师，副院长；
国家重点研发计划项目首席科学家，国家重点研发计划国际合作重点专项首席科学家；
国家高层次青年人才，国家自然科学基金创新研究群体核心成员；
机器人视觉感知与控制技术国家工程实验室主任助理（主任: 王耀南院士）；
机械工业先进制造视觉检测与控制技术重点实验室主任；
湖南省国际科技创新合作基地主任，视觉感知与人工智能湖南省重点实验室副主任；
中国图象图形学学会组织建设工作委员会秘书长,中国图象图形学学会会员发展与服务工作委员会副主任。
二、个人简介：
先后主持国家重点研发计划项目、国家自然科学基金联合重点支持项目、国家重点研发计划政府间国际科技创新合作重点专项项目、湖南省杰出青年基金等多项国家级、省部级重大重点项目，在国际顶级期刊和会议上发表学术论文90余篇，获中国自动化学会青年科学家奖、湖南省科学技术创新团队奖、湖南省高等教育教学成果奖特等奖、一等奖，获推荐参评国家级教学成果奖励。
现担任《IEEE Transactions on Neural Networks and Learning Systems》、《Journal of Intelligent and Robotic Systems》、《指挥与控制学报》等期刊编委和《自动化学报（英文版）》青年编委。中国人工智能学会模式识别专业委员会委员、中国自动化学会模式识别与机器智能专业委员会委员、中国图象图形学学会视觉认知与计算专委会委员，长沙市“人工智能及机器人产业链”科技特派员。国家“万人计划”科技创新领军人才会评专家、科技部科技创新2030-“新一代人工智能”等重大项目会评专家。
担任湖省研究生联合培养基地主任、湖南省校企合作创新业基地主任，先后主持和参与11项省部级教改和基地建设项目，发表教改论文10篇（其中CSSCI期刊论文3篇）。近年指导的学生中，先后有15名同学获研究生国家奖学金，4名同学获评湖南省优秀毕业生，6名同学毕业论文获评湖南省优秀硕士学位论文,指导学生获中国“互联网+”创新创业大赛银奖，获中国图象图形学学会图像图形挑战赛全国总冠军。
团队每年招收2名医学影像分析、工业视觉领域和其它模式识别、机器视觉领域的博士生，有兴趣的同学还请email联系, liu_min@hnu.edu.cn。
Min Liu is a Professor at Hunan University. He received his bachelor degree from Beijing University and PhD degree in Electrical Engineering from the University of California, Riverside in 2012. He was a research intern in HHMI Janelia Farm Research Campus and a research scientist at the University of California, Santa Barbara. His research interests include computer vision, pattern recognition and machine learning.
主持的代表性项目：
● 基于视觉感知的复杂外形产品表面缺陷检测方法研究与应用，国家重点研发计划项目，国拨经费1000万元；
● 数据与知识联合驱动的多源目标协同识别，国家自然科学基金联合重点项目；
● 面向手术机器人的多模态感知和控制方法研究，国家重点研发计划国际科技创新合作重点专项项目。
代表性论文：
● Hao Du, Jiazheng Wang, Min Liu*, Yaonan Wang and Erik Meijering,"SwinPA-Net: Swin Transformer based Multiscale Feature Pyramid Aggregation Network for Medical Image Segmentation", IEEE Transactions on Neural Networks and Learning Systems, 2022.
● Wenxuan He, Min Liu*, Yi Tang, Qinghao Liu and Yaonan Wang,"Differentiable Automatic Data Augmentation by Proximal Update for Medical Image Segmentation", IEEE/CAA Journal of Automatica Sinica, 2022.
● Shujun Zeng, Xueping Wang, Min Liu*, Qing Liu and Yaonan Wang,"Anchor Association Learning for Unsupervised Video Person Re-identification", IEEE Transactions on Neural Networks and Learning Systems, 2022.
● Yi Tang, Baopu Li, Min Liu*, Boyu Chen, Yaonan Wang and Wanli Ouyang,"AutoPedestrian: an Automatic Data Augmentation and Loss Function Search Scheme for Pedestrian Detection", IEEE Transactions on Image Processing, 2021.
● Xueping Wang, Min Liu*, Dripta S. Raychaudhuri, Sujoy Paul, Yaonan Wang and Amit K. Roy-Chowdhury,"Learning Person Re-identification Models from Videos with Weak Supervision", IEEE Transactions on Image Processing, 2021.
● Xueping Wang, Shasha Li, Min Liu*, Yaonan Wang and Amit K. Roy-Chowdhury, "Multi-Expert Adversarial Attack Detection in Person Re-identification Using Context Inconsistency", International Conference on Computer Vision (ICCV), 2021.
● Weixun Chen, Min Liu*, Hao Du, Yaonan Wang, and Erik Meijering, "Deep-Learning Based Automated Neuron Reconstruction from 3D Microscopy Images Using Synthetic Training Images", IEEE Transactions on Medical Imaging, 2021.
● Xuan Wang, Min Liu*, Yaonan Wang, Jiawang Fan and Erik Meijering, "A 3D Tubular Flux Model for Centerline Extraction in Neuron Volumetric Images", IEEE Transactions on Medical Imaging, 2021.
● Bo Yang, Min Liu*, Yaonan Wang, Kang Zhang and Erik Meijering, "Structure-Guided Segmentation for 3D Neuron Reconstruction", IEEE Transactions on Medical Imaging, 2021.
● Weixun Chen, Min Liu*, Qi Zhan, Yinghui Tan, Erik Merjering, and Yaonan Wang, "Spherical-Patches Extraction for Deep-Learning in 3D Neuron Microscopy Images", IEEE Transactions on Medical Imaging, 2020.
● Wenbo Jiang, Min Liu*, Yunuo Peng, and Yaonan Wang, "HDCB-Net: A Neural Network with the Hybrid Dilated Convolution for Pixel-Level Crack Detection on Concrete Bridges", IEEE Transactions on Industrial Informatics, 2020.
● Min Liu*, Weixun Chen, Chao Wang, Hanchuan Peng, "A Multiscale Ray-Shooting Model for Termination Detection of Tree-Like Structures in Biomedical Images", IEEE Transactions on Medical Imaging, 2019.
●彭雨诺，刘敏*，万智，蒋文博，王耀南，"基于改进YOLO的双网络桥梁表观病害快速检测算法"，自动化学报，2021.
