2019杭州数据科学前沿国际研讨会

关于召开2019杭州数据科学前沿国际研讨会通知

浙江大学数据科学研究中心将于2019年5月25---27日在杭州举办“2019杭州数据科学前沿国际研讨会”。这次会议是浙江大学数据科学研究中心自2017年5月成立以来举办的第二届数据科学大规模高水平国际性学术研讨会。本次会议特邀近百位国内外知名专家学者报告最新研究成果，分享研究见解，以期通过本次会议推动我国数据科学理论研究和应用。

会议时间：2019年5月26日---5月27日

报到时间：2019年5月25日9:30-21:00

报到&会议地点：杭州金溪山庄（杭州市西湖区杨公堤39号）

主办单位：浙江大学数据科学研究中心

协办单位：浙江互联网金融联合会，浙大国际商学院，浙大数据分析和管理国际研究中心

会议主题：Theory Powering Applications

会议议题（包括但不限于）：

Ø Recent Advance in Complex Data Analysis

Ø Data Science in Healthcare

Ø Service Computing& Big Data Analysis

Ø Machine Learning Theory and Application

Ø Financial Econometrics

Ø Advances in Statistical Learning

Ø Real-World Applications of Artificial Intelligence

学术委员会（按拼音顺序排序）：

蔡天文宾夕法尼亚大学

蔡天西哈佛大学

邵启满香港中文大学

王亚珍威斯康星大学（主席）

袁明哥伦比亚大学

张和平耶鲁大学

组织委员会（按拼音顺序排序）：

陈熹浙江大学（主席）

苏中根浙江大学

尹建伟浙江大学

张立新浙江大学

张荣茂浙江大学

特邀大会报告人：

Michael I. Jordan

University of California at Berkeley

Michael I. Jordan is the Pehong Chen Distinguished Professor in the Department of Electrical Engineering and Computer Science and the Department of Statistics at the University of California, Berkeley. His research interests bridge the computational, statistical, cognitive and biological sciences, and have focused in recent years on Bayesian nonparametric analysis, probabilistic graphical models, spectral methods, kernel machines and applications to problems in distributed computing systems, natural language processing, signal processing and statistical genetics. Prof. Jordan is a member of the National Academy of Sciences, a member of the National Academy of Engineering and a member of the American Academy of Arts and Sciences. He is a Fellow of the American Association for the Advancement of Science. He has been named a Neyman Lecturer and a Medallion Lecturer by the Institute of Mathematical Statistics. He received the IJCAI Research Excellence Award in 2016, the David E. Rumelhart Prize in 2015 and the ACM/AAAI Allen Newell Award in 2009. He is a Fellow of the AAAI, ACM, ASA, CSS, IEEE, IMS, ISBA and SIAM.

Program
Program
May 26
8:30---9:10	Opening Ceremony		Jinxi Hall	Chair: Xi Chen
9:10---10:00	Keynote Speech Michael I. Jordan	Title：On Gradient-Based Optimization: Accelerated, Stochastic and Nonconvex	Jinxi Hall	Chair: Tony Cai
10:00---10:20	Tea Break
	Recent advance in complex data analysis	Learning Theory and Compressed Sensing	Recent development on data analysis	Data Science in Healthcare
10:20	No.1 Hall	No.2 Hall	No.3 Hall	No.4 Hall
～	Chair: Zijian Guo	Chair: Song Li	Chair: Donggyu Kim	Chair: Wei Luo
	Organizer: Zijian Guo	Organizer: Junhong Lin	Organizer: Donggyu Kim	Organizer: Tianxi Cai
12:00
	Speakers:	Speakers:	Speakers:	Speakers:
	Cun-Hui Zhang	Yang Wang	Donggyu Kim	Xu Shi
	Harrison Zhou	Ding-xuan Zhou	Hyo Young Choi	Zongqi Xia
	Han Xiao	Di-rong Chen	Jongho Im	Sheng Yu
	Yihong Wu	Song Li	Maoyuan Zhou	Xiaoyue Niu
Lunch
	Translational Biomedical Data Science	Service Computing & Big Data Analysis	Recent Developments in Applied Statistical methods	Recent development in complex data analysis
13:30	No.1 Hall	No.2 Hall	No.3 Hall	No.4 Hall
～	Chair: Xuan Wang	Chair: Xiaoye Miao	Chair: Zhixiang Lin	Chair: Jinyuan Chang
	Organizer: Tianxi Cai	Organizer: Xiaoye Miao	Organizer: Yuanyuan Lin	Organizer: Jinyuan Chang
15:10
	Speakers:	Speakers:	Speakers:	Speakers:
	Xuan Wang	Xuanzhe Liu	Xu Liu	Zemin Zheng
	Tianxi Cai	Jian Cao	Zhixiang Lin	Guanghui Cheng
	Yanyuan Ma	Daning Hu	Linlin Dai	Jinyuan Chang
	Yen-Tsung Huang		Yuanyuan Lin	Kaijie Xue
15:10---15:30	Tea Break
	Advances in Statistical Learning	The advancement in statistical methods for biological data analysis	Time series analysis	Advanced Methods for Analysis of Modern Biomedical Data
15:30	No.1 Hall	No.3 Hall	No.4 Hall	No.5 Hall
～	Chair: Yin Xia	Chair: Jie Hu	Chair: Rongmao Zhang	Chair: Qi Long
	Organizer: Tianxi Cai	Organizer: Hangjin Jiang	Organizer: Xinyu Song & Yazhen Wang	Organizer: Qi Long
17:10
	Speakers:	Speakers:	Speakers:	Speakers:
	Dave Zhao	Xiaodan Fan	Qianqian Zhu	Yinghao Pan
	Yin Xia	Yingying Wei	Chuanhai Zhang	Yong Chen
	Zijian Guo	Xianghyu Luo	Xiao Guo	Xiaochen Zhang
	Ji Zhu	Jie Hu	Zhiping Lu	Qi Long

May 27
	Advances in High Dimensional Models: Beyond Scalar-on-vector Regressions	Complex model inference	Machine Learning in Integration of Large-Scale Genomics Data	Machine Learning Theory and Application
8:30	No.1 Hall	No.2 Hall	No.3 Hall	No.4 Hall
～	Chair: Junhong Lin	Chair:	Chair: Hongzhe Li	Chair: Harrison Zhou
	Organizer: Emma Jingfei Zhang	Organizer: Yazhen Wang	Organizer: Hongzhe Li	Organizer: Harrison Zhou
10:10
	Speakers:	Speakers:	Speakers:	Speakers:
	Lexin Li	Zhengjun Zhang	Iuliana Ionita-Laza	Tengyuan Liang
	Jiguo Cao	Nan Lin	Jichun Xie	Song Mei
	Will Wei Sun	Bo Fu	James Zou	Zhao Ren
	Tao Wang	Anru Zhang	Hongzhe Li	Yuan Yao
10:10---10:30	Tea Break
	Financial Econometrics	Harness the Power of Complicated data	New methods and perspective for analysis of multiple data sources	Data science in genetics
10:30	No.1 Hall	No.2 Hall	No.3 Hall	No.4 Hall
～	Chair: Hangjin Jiang	Chair: Ning Hao	Chair: Catherine Liu	Chair:
	Organizer: Yazhen Wang	Organizer: Jiancheng Jiang	Organizer: Catherine Liu	Organizer: Ying Wei
12:10
	Speakers:	Speakers:	Speakers:	Speakers:
	Yingying Li	Yue Niu	Lilun Du	Lixuan Qin
	Xinghua Zheng	Ning Hao	Guodong Li	Tianying Wang
	Xinbing Kong	Jiancheng Jiang	Catherine Liu	Zhigang Li
	Qinwen Wang	Dandan Jiang	Tiejun Tong	Xin Liu
Lunch
	Modern statistics: theory and methods	Learning high-dimensional data with complex structure	Machine learning	Financial Stochastics and Statistics
13:30	No.1 Hall	No.2 Hall	No.3 Hall	No.4 Hall
～	Chair: Weidong Liu	Chair: Miaoyan Wang	Chair: Yao Wang	Chair: Zhonggen Su
	Organizer: Weidong Liu	Organizer: Miaoyan Wang	Organizer: Yao Wang	Organizer: Yazhen Wang
15:10
	Speakers:	Speakers:	Speakers:	Speakers:
	Xiaojun Mao	Ruoguo Zhang	Shaobo Lin	Kun Fan
	Zhou Yu	Wei Shi	Jinshan Zeng	Nan Zhang
	Wei Zhong	Mengyu Xu	Zhi Han	Cheng Liu
	Cheng Wang	Miaoyan Wang	Yao Wang	Yan Zhou
15:10---15:30	Tea Break
	Recent Advances in Complex Data Analysis	Statistical and Machine Learning Methods with Application in AI transportation	Recent developments in statistical and probability learnings	Real-world Applications of Artificial Intelligence
15:30	No.1 Hall	No.5 Hall	No.2 Hall	No.3 Hall
～	Chair: Xinyuan Song	Chair: Renjun Xu	Chair: Wei Luo	Chair: Renjun Xu
	Organizer: Xinyuan Song	Organizer: Rui Song	Organizer: Wei Luo	Organizer: Renjun Xu
17:10
	Speakers:	Speakers:	Speakers:	Speakers:
	Haijin He	Shikai Luo	Shaoli Wang	Ling Huang
	Xuejun Jiang	Kaixian Yu	Xin Chen	Hongxia Yang
	Yunxian Li	Feng Guo	Yeying Zhu	Andre Python
	Man Wang		Deli Li

会议官网：http://cds.zju.edu.cn/

浙江大学数据科学研究中心

2019年5月8日