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Mingyan Liu
H指数:51
被引数:1.1万
个人简介
Has been with the department at Ann Arbor, Michigan since August 2000. Prior to that, they were a graduate student in the ECE Department and the Institute for Systems Research (ISR) at the University of Maryland, College Park. Research interests include optimal resource allocation, sequential decision theory, incentive design, and performance modeling and analysis within the context of communication networks. Recent activities focus on online learning, modeling and mining of large scale Internet measurement data, and incentive mechanisms for cyber security. In 2014, the scholar co-founded QuadMetrics, Inc., commercializing predictive data analytics for cyber risk quantification, resulting in the first global enterprise cybersecurity ratings system; the company was acquired by Fair Isaac (FICO) in 2016.
教育背景
1995.12
Nanjing Univ. Aero. and Astro., China BS Electrical Engineering
1997.12
Univ. of Maryland, College Park MS Systems Engineering
2000.12
Univ. of Maryland, College Park PhD Electrical Engineering
工作经历
2014.01 – 2016.12
QuadMetrics, Inc.
2000.12
University of Maryland, College Park
Graduate student
荣誉奖项
- NSF CAREER Award（2002）｜NSF
- University of Michigan Elizabeth C. Crosby Research Award（2003）｜University of Michigan
- University of Michigan Elizabeth C. Crosby Research Award（2014）｜University of Michigan
- EECS Department Outstanding Achievement Award（2010）｜EECS Department
- College of Engineering Excellence in Education Award（2015）｜College of Engineering
- College of Engineering Excellence in Service Award（2017）｜College of Engineering
- Distinguished University Innovator Award（2018）
- Rackham Distinguished Graduate Mentor Award（2026）
- Best Paper Award（2012）｜IEEE/ACM International Conference on Information Processing in Sensor Networks (IPSN)
- Best Paper Award（2014）｜IEEE/ACM International Conference on Data Science and Advanced Analytics (DSAA)
为无线联邦学习提供差分隐私：一种跨层框架
当不确定时，弃权：弃权对策略性分类的影响
适用于道路工程的高性能半流态自密实混凝土性能研究
激励安全软件开发：自愿审计和责任豁免的作用
非酒精性脂肪肝患者中UHR与ECG参数和2型糖尿病的关系
评估心率减速能力、心率减速运行、心率加速能力和脂蛋白相关磷脂酶A2作为痴呆个体的预测因子
基于多时间尺度Weibull加速失效时间回归的锂离子电池容量及剩余寿命预测新方法
ALZHEIMERS & DEMENTIA
IF11.1
多变量模式分类将关系自尊与个人自尊区分开
IEEE ACCESS
IF3.6
