Wenwen Li Fudanjwfw. Bogota, Colombia. 15th Dec, 2022. Li Wenwen of China competes during the women's 87kg snatch She worked on an EPSRC-funded project developing tensor-based machine learning with sparsity for brain fMRI classification from June 2018 to June 2019. Join Facebook to connect with Wenwen Li and others you may know
Li Wenwen (CHN) 332kg 1st Place 2019 World Weightlifting Championships Women's 87+ kg from www.youtube.com
Wenwen was the first postdoctoral researcher in our group On the theoretical side, in particular, I am currently developing my understanding and pursuing my research in the following topics: projective and injective modules over the incidence algebra on a (locally-finite) poset; exact structures of persistence modules over a (locally-finite.
Li Wenwen (CHN) 332kg 1st Place 2019 World Weightlifting Championships Women's 87+ kg
She worked on an EPSRC-funded project developing tensor-based machine learning with sparsity for brain fMRI classification from June 2018 to June 2019. 个人简介 文力，北京航空航天大学教授，机械工程及自动化学院副院长，国家级领军人才，《Science Robotics》 Editorial and Advisory Board Member。主要研究方向为仿生机器人、软体机器人、机器柔性触觉、水下及深海机器人、跨介质机器人、柔性电子、AI赋能机器人。主要研究主要致力于构建可高效、安全. Fudan University - 引用次数：3,768 次 - Transistors；Ferroelectric material physics
Bogota, Colombia. 15th Dec, 2022. Li Wenwen of China competes during the women's 87kg snatch. Fudan University - 引用次数：3,768 次 - Transistors；Ferroelectric material physics Join Facebook to connect with Wenwen Li and others you may know
Li Wenwen (CHN) 332kg 1st Place 2019 World Weightlifting Championships Women's 87+ kg. I am interested in both theoretical and applied aspects of Topological Data Analysis and Topological Robotics She worked on an EPSRC-funded project developing tensor-based machine learning with sparsity for brain fMRI classification from June 2018 to June 2019.