针对云侧人工智能在安全性、实时性、可靠性、经济性等方面存在的问题,本方向面向端侧嵌入式设备及其运行环境,研究轻量级深度学习算法以及深度神经网络的压缩方法,并面向智能驾驶、智慧交通、工业视觉检测等真实场景,完成模型的实际部署和应用。
毕翔
Gender:Male
Education Level:With Certificate of Graduation for Doctorate Study
Alma Mater:Hefei University of Technology
Associate professor
Supervisor of Master's Candidates
E-Mail:
School/Department:School of computer science and information egineering
Administrative Position:党支部书记
Education Level:With Certificate of Graduation for Doctorate Study
Gender:Male
Degree:Doctoral degree
Status:Employed
Alma Mater:Hefei University of Technology
Discipline:Computer Applications Technology
Gender:Male
Education Level:With Certificate of Graduation for Doctorate Study
Alma Mater:Hefei University of Technology
针对云侧人工智能在安全性、实时性、可靠性、经济性等方面存在的问题,本方向面向端侧嵌入式设备及其运行环境,研究轻量级深度学习算法以及深度神经网络的压缩方法,并面向智能驾驶、智慧交通、工业视觉检测等真实场景,完成模型的实际部署和应用。