VLDB Summer School 2019

2019.07.22 - 2019.07.27

中国人民大学信息楼四层报告厅

中国人民大学信息学院
数据工程与知识工程教育部重点实验室
中国计算机学会数据库专委会

简介

VLDB(Very Large Data Bases)中国数据库学院由VLDB基金会赞助成立,下属于中国计算机学会数据库专业委员会, 旨在为中国从事或有志于从事数据库理论与技术研究的教师、学者和高年级研究生提供一个学习和交流的机会。学院每年不定期地邀请数据库及相关领域内国际知名的学者来中国讲学,以促进我国对国际数据库学科前沿全面及时了解,并在此前提下,立足应用研发具有特色的数据管理技术和系统。

2019年暑期学校由中国人民大学信息学院与数据工程与知识工程教育部重点实验室承办。本届暑期学校的主题聚焦数据科学中的关键问题:数据准备与数据分析。 主讲教授是国际上享有很高学术声誉的数据库专家: ACM Fellow、以色列特拉维夫大学教授Tova Milo;美国加州大学尔湾分校(UC Irvine)教授Chen Li;美国加州大学伯克利分校(UC Berkeley)助理教授Aditya Parameswaran;美国哥伦比亚大学(Columbia University)助理教授Eugene Wu。

重要日期

我们热烈欢迎全国各地从事数据管理理论与技术研究的青年教师和高年级研究生报名参加。

组织机构

VLDB 中国数据库学院

校 长:李战怀 教授(西北工业大学)

本期组委会

组织委员会主席:范举 副教授(中国人民大学) 陈跃国 教授(中国人民大学)

主办单位

中国计算机学会数据库专委会

承办单位

中国人民大学信息学院

数据工程与知识工程教育部重点实验室

联系我们

胡老师:负责报名与报到的咨询

TEL:010-62515228

MAIL:huting@ruc.edu.cn

范老师:负责课程与日程安排的咨询

TEL:010-62515228

MAIL: fanj@ruc.edu.cn

报名须知

  1. 本年度计划招收学员100名。学员录取由VLDB 中国数据库学院负责,将根据申请条件以及学校地区平衡的原则进行录取。
  2. 申请条件:具有博士学位的青年教师、博士研究生、成果突出的硕士研究生
  3. 报名费每人1000元,数据库专委会委员推荐的学生600元,于收到录取通知后缴费。住宿费用自理(暑假北京宾馆通常紧张,请尽早预定)。
  4. 学院为所有学员提供课程资料和讲义、会议期间的餐饮(人大校内)。不负责订返程票,不接送站(火车、飞机等)。
  5. 请报名者填写报名表(点击下载
    打印报名表,并由申请者所在单位签署意见并加盖公章。 扫描报名表,并发送扫描件至:li1jia@ruc.edu.cn,huting@ruc.edu.cn,邮件主题设为:VLDB 2019 Summer School报名表
  6. 报名截止时间:2019年7月5日23:59 (以邮件发送时间为准)
  7. 录取通知将于2019年7月12日发出。
  8. 上课地址与时间:7月22-27日 中国人民大学信息楼四层报告厅

报到须知

请所有学员持相关文件于7月21号9点至17点到中国人民大学信息楼报到处报到。

来校路线:地铁10号线(海淀黄庄站)、地铁4号线(海淀黄庄站)

讲师简介

Title: Human In the Loop in Data Management: From Crowdsourcing to Experts Sourcing

Biography:

Tova Milo received her Ph.D. degree in Computer Science from the Hebrew University, Jerusalem, in 1992. After graduating she worked at the INRIA research institute in Paris and at University of Toronto and returned to Israel in 1995, joining the School of Computer Science at Tel Aviv university, where she is now a full Professor and holds the Chair of Information Management. She served as the Head of the Computer Science Department from 2011-2014. Her research focuses on large-scale data management applications such as data integration, semi-structured information, Data-centered Business Processes and Crowd-sourcing, studying both theoretical and practical aspects. Tova served as the Program Chair of multiple international conferences, including PODS, VLDB, ICDT, XSym, and WebDB, and as the chair of the PODS Executive Committee. She served as a member of the VLDB Endowment and the PODS and ICDT executive boards and as an editor of TODS, IEEE Data Eng. Bull, and the Logical Methods in Computer Science Journal. Tova has received grants from the Israel Science Foundation, the US-Israel Binational Science Foundation, the Israeli and French Ministry of Science and the European Union. She is an ACM Fellow, a member of Academia Europaea, a recipient of the 2010 ACM PODS Alberto O. Mendelzon Test-of-Time Award, the 2017 VLDB Women in Database Research award, the 2017 Weizmann award for Exact Sciences Research, and of the prestigious EU ERC Advanced Investigators grant.

Title: Scalable Visualization and Analytics for Spatial Data

Biography:

Chen Li is a professor in the Department of Computer Science at UC Irvine. He received his Ph.D. degree in Computer Science from Stanford University, and his M.S. and B.S. in Computer Science from Tsinghua University, China, respectively. His research interests are in the field of data management, including data-intensive computing, query processing and optimization, visualization, and text analytics. His current focus is building open source systems for big data management and analytics. He was a recipient of an NSF CAREER award and several test-of-time publication awards, a part-time visiting research scientist at Google, PC co-chair of VLDB 2015, and an ACM distinguished member. He was a co-founder and CTO of a startup to commercialize his research results.

Title: Democratizing Data Analytics

Biography:

Aditya Parameswaran is a soon-to-be (starting July 1) Assistant Professor in the School of Information (I School) and Electrical Engineering and Computer Sciences (EECS) at the University of California, Berkeley. He is currently an Assistant Professor in Computer Science at the University of Illinois, Urbana-Champaign. He was a PostDoc at MIT CSAIL following his PhD at Stanford University, before starting at Illinois in August 2014. He develops systems and algorithms for "human-in-the-loop" data analytics, synthesizing techniques from database systems, data mining, and human computation. He has received the Army Research Office Young Investigator Program Award (2018), the NSF CAREER Award (2017), the TCDE Early Career Award (2017). He is an associate editor of SIGMOD Record, serves on the steering committee of the HILDA (Human-in-the-loop Data Analytics) Workshop @ SIGMOD and the DSIA (Data Systems for Interactive Analysis) Workshop @ VIS, and has served on program committees of various database, data mining, web, systems, and crowdsourcing conferences.

Title: Data Management Perspectives on Human Data Interaction

Biography:

Eugene Wu is an Assistant Professor at Department of Computer Science, Columbia University. Eugene Wu is broadly interested in technologies that help users play with their data. His goal is for users at all technical levels to effectively and quickly make sense of their information. He is interested in solutions that ultimately improve the interface between users and data, and uses techniques borrowed from fields such as data management, systems, crowd sourcing, visualization, and HCI. Eugene Wu recieved his Ph.D. from MIT, B.S. from Cal, and was a postdoc in the AMPLab. Eugene Wu has received the VLDB 2018 10-year test of time award, best-of-conference citations at ICDE and VLDB, the SIGMOD 2016 best demo award, and the Google and Amazon faculty awards.

课程安排

日期:2017年7月22日至7月27日

授课地点:中国人民大学信息楼四层报告厅

July 22, 2019
8:30 ~ 9:00 Opening Welcome
Coffee Break (Time: 9:00 ~ 9:20)
9:20 ~ 11:50 Human In the Loop in Data Management: From Crowdsourcing to Experts Sourcing
                (Tova Milo, Tel Aviv University)
Lunch (Time: 12:00 ~ 14:00)
14:00 ~ 17:30 Human In the Loop in Data Management: From Crowdsourcing to Experts Sourcing
                (Tova Milo, Tel Aviv University)
July 23, 2019
8:30 ~ 11:50 Data Management Perspectives on Human Data Interaction
                (Eugene Wu, Columbia University)
Lunch (Time: 12:00 ~ 14:00)
14:00 ~ 17:30 Data Management Perspectives on Human Data Interaction
                (Eugene Wu, Columbia University)
July 24, 2019
9:00 ~ 17:00 8th International Workshop on Big Data Analytics and Management
                (Sa Center for Big Data Research, Renmin University of China)
July 25, 2019
8:30 ~ 11:50 Scalable Visualization and Analytics for Spatial Data
                (Chen Li, University of California, Irvine)
Lunch (Time: 12:00 ~ 14:00)
14:00 ~ 17:30 Scalable Visualization and Analytics for Spatial Data
                (Chen Li, University of California, Irvine)
July 26, 2019
8:30 ~ 11:50 Democratizing Data Analytics
                (Aditya Parameswaran, University of California, Berkeley)
Lunch (Time: 12:00 ~ 14:00)
14:00 ~ 17:30 Democratizing Data Analytics
                (Aditya Parameswaran, University of California, Berkeley)
July 27, 2019
8:30 ~ 11:50 Student Final Reporting & Interactive Research Discussion
                (Speakers and Students)
Lunch (Time: 12:00 ~ 14:00)
14:00 ~ 15:30 Student Final Reporting & Interactive Research Discussion
                (Speakers and Students)
Coffee Break (Time: 15:30 ~ 16:00)
16:00 ~ 16:30 Closing