基本信息
浏览量:566
职业迁徙
个人简介
My research combines large scale distributed algorithms design and their deployment, spanning both the theoretical and applied aspects of large scale computing. I have strong theoretical background in distributed computing, message-passing algorithms, linear algebra, machine learning, numerical iterative methods, probabilistic graphical models, convex optimization and information theory. From an applied perspective, I have extensive experience with the design and building large-scale systems for solving practical problems on massive datasets using different computing platforms: Cloud computing platforms like Amazon EC2, IBM Bluegene supercomputer, PlanetLab testbed, Sensor networks, GPUs and other parallel/distributed environments. My most recent work, GraphLab, involves the design and implementation of a parallel machine learning framework, targeted for iterative and potentially asynchronous algorithms.
研究兴趣
论文共 67 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
Proceedings of the 10th ACM Conference on Recommender Systems (2016)
PROCEEDINGS OF THE 10TH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS'16)pp.421-422, (2016)
RECSYSpp.353-354, (2015)
引用0浏览0EI引用
0
0
RECSYSpp.391-392, (2014)
Proceedings of the 8th ACM Conference on Recommender systems - RecSys '14 (2014)
CoRR (2014): 340-349
引用122浏览0EI引用
122
0
RECSYSpp.385-386, (2014)
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