基本信息
浏览量:190
职业迁徙
个人简介
My current research interest lies in Efficent AI and Statitical ML:
Knowledge Efficiency, that empowers the AI systems to learn new tasks with the knowledge from trained models and human experts.
Data Efficency. Focus on self-supervised & semi-supervised & weak-supervised learning or learning with synthesized data.
Statitical ML. Focus on statitical modelling, generative models, trust-worthy learning (interpretability and robustness) and graph learning, ideally, with theoretical basis or guarantee.
Knowledge Efficiency, that empowers the AI systems to learn new tasks with the knowledge from trained models and human experts.
Data Efficency. Focus on self-supervised & semi-supervised & weak-supervised learning or learning with synthesized data.
Statitical ML. Focus on statitical modelling, generative models, trust-worthy learning (interpretability and robustness) and graph learning, ideally, with theoretical basis or guarantee.
研究兴趣
论文共 32 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
CVPR 2024 (2024)
引用0浏览0引用
0
0
CVPR 2024 (2024)
引用0浏览0引用
0
0
CoRR (2023): 18892-18903
arXiv (Cornell University) (2023)
引用5浏览0EI引用
5
0
CVPR 2023 (2023): 22552-22562
Codruta O. Ancuti,Cosmin Ancuti,Florin-Alexandru Vasluianu,Radu Timofte,Han Zhou, Wei Dong,Yangyi Liu,Jun Chen,Huan Liu, Liangyan Li,Zijun Wu,Yubo Dong,
CVPR Workshopspp.1808-1825, (2023)
引用0浏览0EIWOS引用
0
0
CVPR 2023 (2023): 3592-3602
Florin-Alexandru Vasluianu,Tim Seizinger,Radu Timofte,Shuhao Cui,Junshi Huang, Shuman Tian,Mingyuan Fan, Jiaqi Zhang, Li Zhu, Xiaoming Wei,Xiaolin Wei,Ziwei Luo,
CVPR Workshopspp.1788-1807, (2023)
引用17浏览0EIWOS引用
17
0
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn