会议通知（中文版）：2024数据科学前沿国际研讨会会议通知（预告）

2024 International Conference on Frontiers of Data Science will be held in Hangzhou (中国杭州) from July 8 to July 10, 2024. Center for Data Science of Zhejiang University was established in May 2017, with the aim of promoting the theory and applications of data science. Internationally renowned experts in data science will deliver keynote speeches and invited talks during this conference, highlighting major theoretical breakthroughs, displaying the latest advances in technology innovation and applications, and exploring opportunities and challenges for development in data science.

 

Theme: Raising the Impact of Data Science Research: from Theory to Practice

Date:  Registration on July 8, 2024 (14:00 – 21:00) *Dinner will be provided before 8 p.m. to those paid registration fee.

           Short Course on July 8, 2024 (13:00-17:30)

           Conference on July 9 -- July 10, 2024;

Venue: Conference & Registration at Hangzhou Xixi Hotel (杭州西溪宾馆)

 

Organized by the Center for Data Science, Zhejiang University

Operated by Hangzhou Qizhen Exhibition Service Co., Ltd

 

1. ProgramCommittee

 

Tianxi Cai	Harvard University (Chair)
Rui Duan	Harvard University
Zijian Guo	Rutgers University
Boris Hejblum	University of Bordeaux
Junwei Lu	Harvard University
Layla Parast	University of Texas at Austin

 

 Advisory Committee

 

Jianfei Cai	Monash University
Tony Cai	University of Pennsylvania(Chair)
Tianxi Cai	Harvard University
Lu Tian	Stanford University
Yazhen Wang	University of Wisconsin-Madison
Ming Yuan	Columbia University
Heping Zhang	Yale University

 

Local Organizing Committee

 

Yifan Cui	Zhejiang University
Wei Luo	Zhejiang University
Xiaoye Miao	Zhejiang University
Andre Python	Zhejiang University (Chair)
Wenguang Sun	Zhejiang University

 

2. Important Dates

• Early Bird Deadline:  May 15th, 2024
• Abstract Submission Deadline:  June 25th, 2024
• Hotel Reservation Deadline:  July 1st, 2024

 

3. Keynote Speaker

 

Peter L. Bühlmann

ETH Zürich

 

Peter Bühlmann has been Full Professor of Mathematics at the ETH Zurich since 1 October 2004.

 

He was born on April 12, 1965, citizen from Sempach (Switzerland), and studied mathematics at the ETH Zurich (1985-1990). In 1993, he received his doctoral degree in mathematics (statistics) from the ETH Zurich. From 1994-1995 he worked as a postdoc in the Department of Statistics at the University of California at Berkeley. Following this he spent two more years, from 1995-1997, at the U.C. Berkeley as Neyman assistant professor. From 1997-2001 he was Assistant Professor and from 2001-2004 Associate Professor of Mathematics at the ETH Zurich.

 

His main research is in the field of statistics, with connections to machine learning, bioinformatics and computational biology. Of special interest are the areas of high-dimensional statistics, computational methods for large-scale modeling, and causal inference.

Huazhen Lin

Southwestern University of Finance and Economics

 

Huazhen Lin is the Chair Professor at the Southwestern University of Finance and Economics (SWUFE) and the director of the Center of Statistical Research at SWUFE. She is a New Cornerstone Investigator，a fellow of the Institute of Mathematical Statistics, and a recipient of the National Science Fund for Distinguished Young Scholars.

 

Huazhen Lin's main research interests include deep learning, nonparametric method, functional data analysis, factor model, survival data analysis, and transformation model. She has published numerous research papers in internationally renowned statistics journals，including Annals of Statistics, Journal of the American Statistical Association, Journal of the Royal Statistical Society: Series B, and Biometrika. Huazhen Lin serves as an associate editor for Journal of the American Statistical Associations. And she has served as an associate editor for many journals, including Biometrics, the Scandinavian Journal of Statistics, the Journal of Business & Economic Statistics, the Canadian Journal of Statistics, Statistics and Its Interface, and Statistical Theory and Related Fields. She also serves on the editorial boards of various Chinese journals, such as the English Series of Acta Mathematica Sinica, the Chinese Journal of Applied Probability and Statistics, the Journal of Systems Science and Mathematical Sciences, and the Journal of Applications of Statistics and Management.

 

Additionally, she is a board member of the International Chinese Statistical Association (ICSA), an associate director of the Chinese Association for Applied Statistics (CAAS), the director of the Data Science and Artificial Intelligence Chapter at CAAS, and an associate chair of the Chinese Association for Industrial Statistics Teaching.

 

4.Short Course

July 8th, 1:00-5:30 p.m

Meizhu Hall

1.      Federated learning

Rui Duan, Harvard T.H. Chan School of Public Health

Title: Principles and Practices of Federated Learning: Methods, Challenges, and Case Studies

Abstract: In many areas, data has been collected in a decentralized way and federated learning emerges as an important methodology for training statistical and machine learning models without the need to centralize data. In this short course, we will delve into the fundamental principles and state-of-the-art techniques of federated learning. We will introduce practical considerations and challenges, including privacy concerns and communication barriers, within real-world scenarios. Additionally, we will discuss innovative strategies to enhance the effectiveness and applicability of federated learning. We will explore case studies that demonstrate the application of federated learning in biomedical research, aimed at facilitating multi-institutional data integration and collaboration.

 

2.      Data visualization and reproducibility

Subtitle: Have a Shiny Day!

Topic: Mini-course on R Shiny for data visualization and reproducibility

Start time: 3:30pm

End time: 5:30pm

Schedule:

1. Introduction to the mini-course; Andre Python; 5 minutes

2. Introduction to R Shiny; Tutor: Kimberly Zhang; 45 minutes

3. Shiny scalability; Tutor: Yang Ming; 45 minutes

4. Shiny reproducibility; Tutor: Tim CD Lucas; 20 minutes

5. Accommodation

 

Xixi Hotel(杭州西溪宾馆)

 

Hangzhou Xixi Hotel is located in the northwest corner of Xixi wetland. The grand and elegant hotel main building is built in the forest. The rooms are designed to be warm and elegant, eqquiped with a variety of comfortable and pleasant facilities, and the view of the West River outside the window is pure and unworldly. Whether indoors or outdoors, guests can relax in the stream, grass, and trees of Xixi.

 

Fee: ￥600/650/750/800 RMB per room per night (Breakfast included)

*Please book the rooms online after registration before July 1st, 2024.

 

6. Registration&Submission

Please register on this website and submit abstract online byJune 25.

 

境内单位参会人员注册通道（Mainland of China）

https://www.zjuyh.com/data2024/df

 

境外单位参会人员注册通道（Outside of the Chinese Mainland）

https://www.zjuyh.com/data2024en/df

 

Please log in for registration and payment.

 

7. Registration Fee

 

Payment method:

 

(1) Online payment

Support wechat, Alipay, bank transfer,paypal

The registration fee of this conference is entrusted to "Hangzhou Qizhen Exhibition Service Co., LTD." and the VAT electronic ordinary invoice is issued.

 

(2) Public transfer

NAME：HANGZHOU QIZHEN EXHIBITION SERVICE CO.,LTD

ACCOUNT NO:19042514040001265

BANK:AGRICULTURAL BANK OF CHINA,ZHEJIANG BRANCH,HANGHZOU ZHEDA SUB-BRANCH

Note Information (very important) : Name +HICFDS 2024

(Please note "Name of the participant +HICFDS 2024" in the postscript when making the official remittance)

 

(3) On-site payment

On-site payment on the day of the meeting registration (do not enjoy early bird price), support credit card, Alipay, wechat pay.

 

* Cancellation Policy

 

·No refund will be issued if registration is cancelled after June 18,2024

 

·Full refund  (minus processing fee) for registration fee will be made if cancellation is requested on or before June 18,2024

 

* Invoice:

The electronic invoice of the conference expenses will be sent to the email address of the participants within 7 working days after the conference.

 

8.Contact

Academic Contacts: 

Su, Weina (Zhejiang University)

Tel: +86-0571-88208268

E-mail: suweina@zju.edu.cn

 

Niu，Qian(Zhejiang University)

Tel: +86-0571-88208302

E-mail: niuqian@zju.edu.cn

 

Meeting Contacts（Hotel Reservation）:

Zhan, Yanmin (Qizhen Exhibition)

Tel: +86-0571-88177983

E-mail: qizhenhz@zju.edu.cn

 

Welcome！

Center for Data Science, Zhejiang University