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Name: 周洋

Type: User

Company: 湖北大学 | 华中科技大学

Bio: CCF专业会员,研究方向包括闪存、缓存、存储系统可靠性等。第一作者在CCF A类会议&期刊IEEE-TC、TPDS、TCAD、ACM-TOS、ICAPS、DAC、MSST、IJCNN、ICPP、CLUSTER、ICCD、MSN等发表论文十余篇。成果获博士研究生国家奖学金、**·光谷奖学金、AAAI ICAPS 奖学金等

Location: 武昌区湖北大学数学与统计学学院 | 洪山区华中科技大学武汉光电国家研究中心

Blog: [email protected]

周洋's Projects

annotate icon annotate

解决文本的概念实体与维基百科概念之间的映射问题

cacheus icon cacheus

Description of the underlying design and algorithms used in Cacheus are described in this USENIX FAST'21 paper and talk video: https://www.usenix.org/conference/fast21/presentation/rodriguez

mining-wikipedia-concept-prerequisites-related-codes-and-data icon mining-wikipedia-concept-prerequisites-related-codes-and-data

This document contains two parts, the experimental code and the experimental data used. The data are from Talukdar and Cohen. 2012, whose article is "Crowdsourced Comprehension: Predicting Prerequisite Structure in Wikipedia". All of this is what happened in the process of studying the prerequisite relations among concepts based on Wikipedia. If you have any questions about the data, you can contact me by e-mail (see my GitHub home page) or my instructor, Dr. Xiao (e-mail:[email protected]).

mqsim icon mqsim

MQSim is a fast and accurate simulator modeling the performance of modern multi-queue (MQ) SSDs as well as traditional SATA based SSDs. MQSim faithfully models new high-bandwidth protocol implementations, steady-state SSD conditions, and the full end-to-end latency of requests in modern SSDs. It is described in detail in the FAST 2018 paper by Aras

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