Our data describe landscapes of long-lived proteins in somatic and reproductive tissues of Drosophila during adult lifespan, and reveal a preferential ubiquitylation of older long-lived proteins.

Shu-Lin Liu. Personal Information. Professor of College of Chemistry, Nankai University; PI of Tianjin Key Laboratory of Biosensing and Molecular Recognition; 94 Weijin Road, Nankai District, Tianjin, P.R.China，300071; Email: [email protected]

我是清华大学计算机系 自然语言处理实验室 副教授，主要研究方向为大模型技术、知识图谱及社会计算。 长期招收博士生 (每年1个名额)、博士后和访问生。 请感兴趣的同学阅读 相关说明，请申请者发送邮件联系我并附简历。 完整论文列表详见我的 谷歌学者资料。

Email: li-dy18(at)mails.tsinghua.edu.cn. Research Topic: I’m focusing on the structural analysis of some new Cas proteins in Class II, type V Cas systems and exploring the evolutionary association between the Cas phylogeny and tertiary structure of the tracrRNA

2012年4月15日 · 第十二届中国科技大学《计算机图形学》暑期课程 将于2024年7月8-12日举行，课程将于6月中旬开始注册. 2024.03.28. We have 1 paper accepted by Siggraph 2024 (journal track). 2023.12.14. Our Siggraph Asia 2013 paper "Cost-effective Printing of 3D...

Qi Liu is currently a Professor with the School of Future Technology at South China University of Technology. Dr. Liu received a Ph.D degree in Electrical Engineering from City University of Hong Kong, Hong Kong, China, in 2019. During 2018 - 2019, he was a Visiting Scholar at the University of California Davis, CA, USA.

The research of the Liu Group is focused on heterogeneous catalysis, with emphasis on the controllable synthesis of porous materials (such as zeolites) and their applications in catalytic...

My recent work is focused on index theory and its applications to mathematical general relativity and the geometry and topology of positive scalar curvature. Here is my CV (updated 1/12/25). I received my Ph.D at Capital Normal University in 2024, supervised by Prof. Zhenlei Zhang (CNU) and Prof. Bo Liu (ECNU).

哈工大深圳校区教师空间展示系统, 刘卜瑜, 国家级青年人才, 计算机科学与技术学院, 计算机科学与技术, 人工智能、机器博弈、计算机视觉、多媒体信息处理,计算机视觉、机器学习,态势感知

Welcome to Prof. Kai Liu's group. The research in our group revolves around interface engineering of low-dimensional electronic materials and their applications in intelligent devices. We are pursuing creative, systematic, and high-impact work in this research field, and aiming to bridge fundamental physics studies to smart device applications ...