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2018年6月4日,德克萨斯A&M大学统计系王所进教授访问我中心,并做学术报告。报告由清华大学统计学研究中心的杨立坚教授主持。本次报告的主题是“A simultaneous confidence band for the variance function of functional data”。

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为更好地推动国内统计学科的发展,有效促进统计学者之间的交流与合作,同时延续和弘扬北京大学和清华大学两个兄弟院校之间的团结协作传统,“第三届北大-清华统计论坛”于2018年6月3日在北京大学光华管理学院成功举办。本次论坛由北京大学统计科学中心和清华大学统计学研究中心共同举办,来自海内外高校的150余位师生参与了本次论坛。

北京大学商务统计与经济计量系联合系主任、北京大学统计科学中心联席主任陈松蹊教授致开幕词,回顾了北大与清华两校统计学科间合作研究的深厚渊源,同时也表达了对未来的美好愿景。

北京大学统计科学中心讲席教授周晓华教授做特邀报告:Statistical Methods in Precision Medicine。

清华大学统计学研究中心杨立坚教授做特邀报告:Generalized Additive Model: Theory,Methods and Applications over Thirty Years。

随后,北大、清华两校同学进行海报展示,交流、讨论近期的研究成果。

      经两校老师现场考核、评分,北京大学王亚平同学荣获“优秀毕业生奖”,北京大学李伟、清华大学姜瑛恺、张园园荣获“优秀海报奖”。

师生合影

 

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2018年5月28日,【统计学论坛】在清华大学伟清楼209成功举办。本次报告邀请到上海交通大学自然科学研究院的刘卫东教授。报告由清华大学统计学研究中心的林乾教授主持。本次报告的主题是“Distributed stochastic gradient descent with diverging dimensions”。

刘卫东教授
论坛现场
与会人员合影
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2018年5月25日,第十一届中国R会议在北京揭开帷幕,清华大学统计学研究中心副主任邓柯教授受邀出席会议,并在主会场作特邀报告。报告的主题是“统计学与健康中国”。

邓柯教授

 

邓柯教授结合近年来在医疗大数据分析、食品安全监管、卫生技术评估等领域的研究和实践,深入地探讨统计学在实施“健康中国”战略中的巨大机遇与挑战。同时也呼吁更多的统计界学者关注相关的统计学研究与应用,共推统计学发展,使其在落实国家战略中发挥关键作用。

会议现场
  • 邓柯教授简介

邓柯,副教授,清华大学统计学研究中心副主任,博士生导师。2008年获北京大学统计学博士学位,同年进入哈佛大学统计系从事研究工作,历任博士后、副研究员,2013年加入清华大学。2014年当选中国数学会概率统计学会第十届理事会理事,2015年当选中国医疗保健国际交流促进会医学数据与医学计量分会常务委员,2017年当选中国现场统计研究会计算统计分会首任理事长、中国现场统计研究会环境与资源分会常务理事,2018年当选国际计算统计学会亚太地区分会理事。他还获得了“科学中国人(2016)年度人物”的荣誉称号。

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        2018年5月21日,美国威斯康辛大学麦迪逊分校吕琼石教授访问我中心,并做学术报告。报告由清华大学统计学研究中心助理教授侯琳主持。报告的主题是“通过整合功能注释来改善遗传关联分析 ”。

吕琼石教授
论坛现场
侯琳教授与吕琼石教授
与会人员合影
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CONFERENCE INFORMATION ORGANIZERS KEYNOTE SPEAKERS PROGRAM REGISTRATION LOCAL INFORMATION CONTACT US
KEY DATES
May 20th, 2018 11:00 AM Registration open
August 1st, 2018 10:00 AM Payment open
September 1st, 2018 05:00 PM Early registration deadline
September 30th, 2018 05:00 PM Registration & Cancellation deadline

Ⅰ. Conference Information

With the rapid development of modern computing technology and the rise of the big data, opportunities and challenges in statistical computing have been witnessed in all dimensions of data science. Confronted to such condition, the Asian Regional Section of the International Association for Statistical Computing (IASC-ARS) and Chinese Association for Statistical Computing (IASC) jointly hold the IASC-ARS 25th Anniversary Conference & CASC 2nd Annual Conference in Beijing, China. The conference is dedicated to promoting further development of statistical computing in modern data science, and to providing a platform for international academic exchanges and cooperation among Statistical Computing and data science professionals.

TimeNovember 9 – 11, 2018

Venue Beijing Conference Center, Beijing,China

(No. 88 Laiguangying West Road, Chaoyang District, Beijing)

Ⅱ. Organizers

The Asian Regional Section of the International Association for Statistical Computing (IASC-ARS)

The Asian Regional Section (ARS) of the International Association for Statistical Computing (IASC) is established by the Council in accordance with art. 12 of the IASC Statutes in 1993 by the name of the East Asian Regional Section (EARS) and the name is changed to the Asian Regional Section in 1998. It is composed of the members of the IASC residing in Asia. Our mission: to organize international or regional seminars, conferences, meetings. In particular, the ARS shall be responsible for arranging Asian meetings on computational statistics, which are abbreviated to IascAsian meetings hereafter; to promote research and training programs on theoretical and practical aspects of computational statistics; to foster evaluations of statistical computing techniques and programs; to publish scientific periodicals and books, reports and newsletters, independently or in cooperation with other organizations; to collaborate with other bodies having similar objectives.

Chinese Association for Statistical Computing (CASC)

The recent advancement of statistical research and increasing requirements arisen from the big data in various application fields have provided unprecedented challenges and opportunities in statistical computing. In order to respond to the pressing needs and seize the historical opportunity, a group of young statisticians, led by Professor Ke Deng of Center for Statistical Science at Tsinghua University, have jointly initiated the Chinese Association for Statistical Computing, as a branch of Chinese Association for Applied Statistics. The CASC was launched on March 19, 2017. The secretariat of CASC is located in the Center for Statistical Science at Tsinghua University.

CASC aims to unite the professionals in both academy and industry to enhance research and applications of statistical computing, towards boosting new theories and methodologies, promoting the applications in health, economics, industry, and other related fields, and advancing the development of statistics in China and overseas.

Co-organizer: Center for Statistical Science of Tsinghua University (TCSS)

On May 16, 2014, the Center for Statistical Sciences of Tsinghua University (TCSS) was officially launched by the university council. The Center will foster and coordinate the development of statistical science in Tsinghua University. The goal is to build a powerful faculty team, to develop cutting-edge research, to strengthen collaborations between disciplines, and, in short, to establish a world-class center of excellence in statistics at Tsinghua University. The Center is an independent academic unit at the school level, while for administrative affairs it is affiliated to the Department of Industrial Engineering.

The Center is dedicated to promoting research and teaching of statistics in Tsinghua. Research areas include mathematical statistics, computational statistics, biostatistics, with emphasis on interdisciplinary studies, especially between statistics and life sciences, medicine, engineering, and business. With their recognized research excellence, engineering, business, and life sciences at Tsinghua University are well placed to benefit from as well as provide nourishment to statistical science. By integrating research resources across campus, The Center has set its goal on high impact academic achievements in both theoretical and applied statistics.

Ⅲ. Keynote Speakers

Coming soon…

Ⅳ. Program

Coming soon…

Ⅴ. Registration

1.   Registration Date

Early Registration: Before September 1, 2018

Regular Registration: September 1-30, 2018

Registration deadline: September 30, 2018

2.   Registration Fee

Early Registration Regular Registration
Regular 960 RMB 1200 RMB
Student 600 RMB 750 RMB

Note: Luncheons and a banquet will be covered by the sponsor during the conference. All participants are responsible to their own accommodation and transportation.

Accommodation Fee

Standard Room at Building 6# Standard Room at Building 9#
Price 550 RMB 650 RMB

Your room contains a piece of breakfast. The accommodation fee will be charged when you check in.

3 Registration Procedure

Step 1: Please fill the registration information.

Step 2: Please click the link to charge the registration fee.

Registration fee will be charged by August.

(1)Online registration

哦!我们不能找到您的表单。

Please send an email to qianbao@mail.tsinghua.edu.cn before Oct. 1st if your schedule is changed.

哦!我们不能找到您的表单。

 (2)Payment:

E-currency payment: Master, Visa

Ⅵ. Contact Us

Secretariart for Chinese Association for Statistical Computing
Address: Weiqing Building 212, Tsinghua University, Beijing 100084, China

Tel: +86 (10)-62786091

Fax:+86 (10) -62783842

Email:stats@tsinghua.edu.cn

ⅥⅠ. Local Information

Venue: The Beijing Conference Center

Address: No. 88 Laiguangying West Road, Chaoyang District, Beijing

Tel: 86(10)-84901668

http://www.beijinghuiyizhongxin.com/encontact/176.html

http://www.google.cn/maps/place/Beijing+Conference+Center/@40.0105258,116.4077197,13.75z/data=!4m5!3m4!1s0x35f1aab720d5746b:0xad5ff040d3d33ade!8m2!3d40.021009!4d116.42843?hl=en

Local Transportation

Local transportation from the airport to the conference center

 

Hotel Information

Address: No. 88 Laiguangying West Road, Chaoyang District, Beijing

Tel: 86(10)-84901668

http://www.beijinghuiyizhongxin.com/encontact/176.html

Standard Room

Scenic Spots in Beijing

Tian’anmen (the Gate of Heavenly Peace)

Tian’anmen (the Gate of Heavenly Peace), is located in the center of Beijing. It was first built in 1417 and named Chengtianmen (the Gate of Heavenly Succession). At the end of the Ming Dynasty, it was seriously damaged by war. When it was rebuilt under the Qing in 1651, it was renamed Tian’anmen, and served as the main entrance to the Imperial City, the administrative and residential quarters for court officials and retainers. The southern sections of the Imperial City wall still stand on both sides of the Gate. The tower at the top of the gate is nine-room wide and five –room deep. According to the Book of Changes, the two numbers nine and five, when combined, symbolize the supreme status of a sovereign. During the Ming and Qing dynasties, Tian’anmen was the place where state ceremonies took place. On October 1, 1949, chairman Mao Zedong proclaimed on Tian’anmen Rostrum the founding of the People’s Republic of China. Since then Tian’anmen has been the symbol of New China.

 

The Great Wall of China

The Great Wall of China is a series of fortifications made of stone, brick, tamped earth, wood, and other materials, generally built along an east-to-west line across the historical northern borders of China to protect the Chinese states and empires against the raids and invasions of the various nomadic groups of the Eurasian Steppe. Several walls were being built as early as the 7th century BC; these, later joined together and made bigger and stronger, are collectively referred to as the Great Wall. Especially famous is the wall built in 220–206 BC by Qin Shi Huang, the first Emperor of China. Little of that wall remains. The Great Wall has been rebuilt, maintained, and enhanced over various dynasties; the majority of the existing wall is from the Ming Dynasty (1368–1644).

Apart from defense, other purposes of the Great Wall have included border controls, allowing the imposition of duties on goods transported along the Silk Road, regulation or encouragement of trade and the control of immigration and emigration.

The Great Wall stretches from Dandong in the east to Lop Lake in the west, along an arc that roughly delineates the southern edge of Inner Mongolia. A comprehensive archaeological survey, using advanced technologies, has concluded that the Ming walls measure 8,850 km (5,500 mi). This is made up of 6,259 km (3,889 mi) sections of actual wall, 359 km (223 mi) of trenches and 2,232 km (1,387 mi) of natural defensive barriers such as hills and rivers. Another archaeological survey found that the entire wall with all of its branches measures out to be 21,196 km (13,171 mi). Today, the Great Wall is generally recognized as one of the most impressive architectural feats in history.

The Temple of Heaven

The Temple of Heaven (Chinese: 天坛; pinyin: Tiantan) is an imperial complex of religious buildings situated in the southeastern part of central Beijing. The complex was visited by the Emperors of the Ming and Qing dynasties for annual ceremonies of prayer to Heaven for good harvest. It has been regarded as a Taoist temple, although Chinese heaven worship, especially by the reigning monarch of the day, predates Taoism.

In ancient China, the Emperor of China was regarded as the Son of Heaven, who administered earthly matters on behalf of, and representing, heavenly authority. To be seen to be showing respect to the source of his authority, in the form of sacrifices to heaven, was extremely important. The temple was built for these ceremonies, mostly comprising prayers for good harvests.

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2018年5月15日,【统计学论坛】在清华大学伟清楼209成功举办。本次报告邀请到西南财经大学的蒋家坤博士。报告由清华大学统计学研究中心的杨立坚教授主持。本次报告的主题是“非高斯分布的函数型数据的聚类分析”。

蒋家坤博士
论坛现场
与会人员合影
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2018年5月14日,【统计学论坛·特邀报告】在清华大学伟清楼209成功举办,本次报告邀请到清华大学数学科学系的丘成栋教授。报告由清华大学统计学研究中心副主任邓柯教授主持。本次报告的主题是“Protein universe and its applications”。当代数学大师、清华大学数学科学中心主任丘成桐先生亦亲临报告现场,并同现场师生针对学术问题展开讨论。

丘成栋教授
丘成桐先生
论坛现场
与会人员合影
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会议通知

尊敬的各位同道:

由清华大学统计学研究中心、广州柏视医疗科技有限公司联合主办的智能医学影像分析研讨会将于2018年6月15日在北京清华紫光国际交流中心召开。

医学影像为医疗提供基础支撑,是临床最重要的诊断依据之一。由于医疗资源配置不均衡、培训的规范性及水平有待提高,基层影像诊断的误诊漏诊率偏高。人工智能技术的发展,尤其是深度学习等新技术在图像和文本分析等领域的融合应用,推动了医学人工智能的快速发展。人工智能通过和医学技术的结合,赋能影像医学及肿瘤诊疗, 可减少大量简单重复性劳动, 辅助医生提升工作效率。

本次大会将深入探讨智能医学影像分析的热点问题,邀请国内外医学影像和人工智能领域的顶尖专家和企业代表,共同交流在医学影像中应用人工智能的思想,方法和实践,探讨行业趋势、典型案例,和技术动态,以期建立医学影像专家和人工智能专家间的深度战略合作,促进人工智能和医学影像的互联互通,提升智能医学影像分析研究的国际影响力。

本次大会不收注册费。衷心希望全国医学影像、人工智能的同行共同参与这一学宴,在此谨代表本次大会组委诚挚地邀请您并热切期待您的参与!

 

会议联系:

田女士  清华大学统计学研究中心     010-62786091

刘女士  广州柏视医疗科技有限公司  15300099673

组委会邮箱:stats@tsinghua.edu.cn

 

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2018年5月8日,美国Suffolk大学商学院大学生交流访问团到访清华大学统计学研究中心。中心副主任邓柯教授以及杨立坚教授接待访问。几位教授分别从校园生活、学术研究、职业发展等几个方面介绍中心情况,并同来访学生亲切交流。随后我中心研究生姜瑛恺、杨洋、汪子栋、林毓聪作为学生代表向来访学生介绍统计学科的知识体系以及实际应用,并带领访问团学生参观清华校园,体验校园生活。

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