Big Data: Opportunities, Challenges and Innovations

2014-12-27 ~ 2014-12-30 1315

Synopsis and Organizers

Big Data: Opportunities, Challenges and Innovations

In recent years, Big Data have become a hot topic in every corner of the society, ranging from government affairs to daily life of ordinary people, from dinner conversations to news reports, and from industry to academia. The philosophy and ideas of collecting and using a huge amount of data to learn and to predict have had a great impact on how we shape the information technology and how we think about artificial intelligence, deeply changing many aspects of our lives. However, although many methods have been proposed for Big Data analysis, and many success applications have been witnessed, the extent of the Big Data Research is far away from being well defined. More importantly, there are deep gaps among data producers, method developers and potential users of the data and methods.

This proposal brings together researchers interested in data sciences to brainstorm about what is possible and what ought to be possible in Big Data research and applications. Statisticians, mathematicians, economists, computer scientists, doctors from famous hospitals, industry leaders as well as government officials will be invited to present their understandings and share their perspectives on Big Data.

Intended Outcomes:

We would like to achieve the following: (a) the articulation of a new international research agenda for theoretical and applied research on Big Data; (b) establishing Tsinghua as a center of Big Data research in China; (c) bringing together data producers, method developers and potential users so that they have a better grasp of each other's work.


Organizers

Name University
Jun S. Liu Harvard University & Tsinghua University
Ke Deng Tsinghua University


Participants

Participants

Name Employer
Mingyao Ai Peking University
Min Chen Chinese Academy of Sciences
Songxi Chen Peking University
Jing Chen Rice University
Rong Chen Rutgers University
Qing Cui Tsinghua University
Ke Deng Tsinghua University
Wenxuan Deng Tsinghua University
Xiaodan Fan Hongkang Chinese University
Richard Freeman Harvard University
Wenyan Gong Tsinghua University
Yuqi Gu Tsinghua University
Yishun Han Tsinghua Data Science Research Institute
Zhuochong He University of Missouri
Chunlin Ji Guangqi Higher Institute of Technology
Wenjun Jiang Tsinghua University
Yingkai Jiang Tsinghua University
Peiyang Jin Tsinghua University
Yixue Li SIBS,CAS
Bo Li Tsinghua University
Dong Li Tsinghua University
Qunhua Li Pennsylvania State University
Hongshan Li Tsinghua University
Qi Li Tsinghua University
Faming Liang University of Florida
Binghui Liu 150 Central Hospital of Jinan Military Region
Jun Liu Harvard University
Liping Liu Peking University
Weidong Liu SJTU
Zhongyu Liu Jinan Military region the 150th Central Hospital
Ping Ma University of Goergia
Cheng Meng Tsinghua University
Peter Qian University of Wisconsin Madison
Steve Z. Qin Emory University
Jiaming Qiu Tsinghua University
Han Simeng Analysis Group Inc.
Terry Speed UC Berkeley and WEHI of Australia
Maosong Sun Tsinghua University
Dongchu Sun University of Missouri
Rui Tuo Chinese Academy of Sciences
Xiaolong Wang Northwestern Polytechnical University
Lipei Wang Tsinghua University
Zidong Wang Tsinghua University
Jiangming Xiang Tsinghua University
Hongwei Xie NUDT
Changji Xu Tsinghua University
Kan Xu Tsinghua University
Lijian Yang Suzhou University
Yuchen Yang Tsinghua University
Yuan Yao Peking University
Yuling Yao Tsinghua University
Yuting Ye Tsinghua University
Jianxin Yin People's University
Junni Zhang Peking University
Hansheng Zhang Peking University
Xuegong Zhang Tsinghua University
Tingting Zhang University of Virginia
Lin Zhang Beijing University of Posts and Telecommunications 
Wefeng Zhang Nanjing University of Posts and Telecommunications
Shuoping Zhang Tsinghua University
Xiaochen Zhang Tsinghua University
Xinshu Zhao Hong Kong Baptist University
Xiaoqi Zheng Shanghai Normal University
Wenxuan Zhong University of Goergia
Zaiying Zhou Tsinghua University
Ting Zhu Tsinghua University
Yao Zhu Tsinghua University
Wensheng Zhu Northeast Normal University


Schedule

schedule.pdf


Titles and Abstracts

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titles_and_abstracts.pdf


Last Announcement

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Welcome to TSIMF

The facilities of TSIMF are built on a 23-acre land surrounded by pristine environment at Phoenix Hill of Phoenix Township. The total square footage of all the facilities is over 29,000 square meter that includes state-of-the-art conference facilities (over 10,000 square meter) to hold many international workshops simultaneously, two libraries, a guest house (over 10,000 square meter) and the associated catering facilities, a large swimming pool, gym and sports court and other recreational facilities.

Mathematical Sciences Center (MSC) of Tsinghua University, assisted by TSIMF's International Advisory Committee and Scientific Committee, will take charge of the academic and administrative operation of TSIMF. The mission of TSIMF is to become a base for scientific innovations, and for nurturing of innovative human resource; through the interaction between leading mathematicians and core research groups in pure mathematics, applied mathematics, statistics, theoretical physics, applied physics, theoretical biology and other relating disciplines, TSIMF will provide a platform for exploring new directions, developing new methods, nurturing mathematical talents, and working to raise the level of mathematical research in China.


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Attention Please

Registration

Conference booklets, room keys and name badges for all participants will be distributed at the Registry. Please take good care of your name badge. It is also your meal card and entrance ticket for all events. 

Dining Arrangements

All the meals are provided in the Chinese Restaurant (Building B1) according to the time schedule.

Breakfast

Lunch

Dinner

07:30-08:30

12:00-13:00

18:00-19:00 

Shuttle Service

We have shuttle bus to take participants to the airport for your departure service. Please just feel free to contact Ms. Li Ye (叶莉) if you have any questions about transportation arrangement. Her cell phone number is (0086)139-7679-8300. We would provide transportation at the Haipo Square (海坡广场) of Howard Johnson for the participants who will stay outside TSIMF.

Contact Information of Administration Staffs

 

Location of Conference Affair Office:

Room 104, Building A

Location of Accommodation Affair Office

Room 200, Building B1

Accommodation Manager:

Ms. Li Ye 叶莉

Tel: 0086-139-7679-8300

E-mail: yeli@tsimf.cn

Emergency Contact:

Prof.Xuan Gao 高瑄

Tel0086-186-0893-0631

E-mail: gaoxuan@tsinghua.edu.cn



Group Photos

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