Zongben Xu
Songxi Chen
Song Xi Chen is a University Chair Professor, a Joint Director of Center for Statistical Science, Co-Chair of Department of Business Statistics and Econometrics, Peking University; a National Specially Appointed Expert. He is a fellow of the Institute of Mathematical Statistics, a fellow of the American Association for the Advancement of Science, a fellow of American Statistical Association and an Elected Member of International Statistics Institute. He is currently a member of IMS Council, and has served on the editorial boards of The Annals of Statistics and Journal of the American Statistical Association.
Title:Distributed Statistical Inference for Massive Data
Weidong Liu
Weidong
Liu, is a winner of the National Outstanding Youth Science Foundation, and a Professor,
the School of Mathematical Sciences, Shanghai Jiaotong University. His
expertise includes statistical inference of high-dimensional data and
distributed statistical inference of large data. He has authored major research
papers published in Ann. Statist., JASA, JRSSB, Biometrika and Ann. Probab.
Title:Distributed
Robust Estimation on Sparse Linear
Regression
Ming Yuan
Ming Yuan
is Professor of Statistics at Columbia University. He was previously a Senior
Investigator at Morgridge Institute for Research and Professor at University of
Wisconsin at Madison and a Coca-Cola Junior Professor at Georgia Institute of
Technology. His research interests lie broadly in statistics and its interface
with other quantitative and computational fields such as optimization, machine
learning and computational biology.
Title:Low Rank Tensor Methods in High Dimensional Data Analysis
Wei Xu
Dr. Wei Xu is an Associate Professor of Biostatistics at Dalla Lana School of Public Health, University of Toronto. He leads the Biostatistics Department at the Princess Margaret Cancer Centre. Dr. Xu’s research interests focus on cancer big data, statistical methodology, clinical trial design and analysis, statistical genetics, biomarker research, predictive model construction, and personalized medicine development. As a Principal-Investigator or a Co-PI, he has been awarded more than 30 grants on cancer clinical and translational research studies. He has published over 290 peer-reviewed papers in high impact journals on statistics, bioinformatics, medical science, and human genetics. His H-index is 55 with more than 13,500 citations. Dr. Xu is also a Co-Director of the COMBIEL training program at Ontario Cancer Institute.
Title:Dig data in cancer clinical and genomic research
Jun Huan
Dr. Jun (Luke) Huan directs the Baidu Big Data Lab. Before
that he was the Charles and Mary Jane Spahr Professor in the Department of
Electrical Engineering and Computer Science at the University of Kansas. Dr. Huan works on Data Science, AI, Machine
Learning and Data Mining. His research is recognized globally. He has published
more than 130 peer-reviewed papers in leading conferences and journals and has
graduated ten Ph.D. students. He was a recipient of the US National Science
Foundation Faculty Early Career Development Award in 2009. His group won
several best paper awards from leading international conferences. Dr. Huan’s
professional service record includes Program Co-Chair of IEEE BIBM in 2015,
IEEE Big Data 2019, and IEEE ICDM in 2020.
Title:AutoDL: Automated Deep Learning for Open & Inclusive AI
Youth Forum Speakers
Jun Zhu
Dr. Jun Zhu is a Professor at the Department of Computer
Science and Technology in Tsinghua University. He was an Adjunct Faculty at the
Machine Learning Department in Carnegie Mellon University from 2015 to 2018.
Dr. Zhu received his B.E. and Ph.D. degrees in Computer Science from Tsinghua
in 2005 and 2009, respectively. Before joining Tsinghua in 2011, he did
post-doctoral research in Carnegie Mellon University. His research
interest lies in machine learning and applications in text and image analysis.
Dr. Zhu has published over 100 papers in prestigious conferences and journals.
He is an associate editor-in-chief for IEEE Trans. on PAMI and editorial board
member for Artificial Intelligence. He served as area chair/senior PC for ICML,
NIPS, IJCAI, UAI, AAAI, and AISTATS. He was a local co-chair of ICML 2014.
Title:Adversarial Attack and Defense for Deep Learning
Yang Yu
Yang Yu is a Professor of Artificial Intelligence in
Nanjing University, China. He joined the LAMDA Group as a faculty since he got
his Ph.D. degree in 2011. His research area is in machine learning,
reinforcement learning, and he currently focuses on reinforcement learning for
real-world autonomous systems. He was recommended as AI’s 10 to Watch by IEEE
Intelligent Systems in 2018, invited to have an Early Career Spotlight talk in
IJCAI’18 on reinforcement learning, and received the Early Career Award of
PAKDD in 2018.
Title:Towards
Read-World Decision Making via Reinforcement Learning
Shaobo Lin
Professor Shaobo Lin is a Professor of Wenzhou University, and a researcher scientist at Department of Mathematics, City University of Hong Kong. His research expertise includes distributed learning theory and deep learning theory. He has produced more than 50 papers published in JMLR, ACHA, TSP, Constructive Approximation and other well-known journals.
Title:Learning theory for distributed learning
Deyu Meng
Dr.
Deyu Meng is a Professor at the Xi'an Jiaotong University, China from there her
also received his BSc., M.Sc. and PhD. degrees in 2001, 2004, and 2008,
respectively. He is currently a Professor at the Institute for Information and
System Sciences, School of Mathematics andStatistics, Xi’an Jiaotong
University. From 2012 to 2014, he took his two-year sabbatical leave in
Carnegie Mellon University. His current research interests include self-paced
learning, noise modeling, and tensor sparsity.
Title:Signal Recovery through Noise/loss Modeling
Liping Zhu
Liping Zhu is a Professor and the Vice
Dean of Institute of Statistics and Big Data, Renmin University of China. He
served on the Editorial Board of the Annals of Statistics, and Statistica
Sinica, and is now is an Asssociate Editor of Journal of Multivariate Analysi, Statistical
Analysis and Data Minin, Statistics and Its Interfac, Jurnal of Systems
Science and Complexity, Systems Science and Mathematics, and Application of Probability
Statistics.
He is the Field Chief Editor of Stataistics,
Optimization and Computer Science.
Title:Projection: A powerful approach to dealing with high dimensional data
ChangliangZou
Dr.
Changliang Zou is a Professor of the School of Statistics and Data Sciences at
Nankai University. He obtained his PhD in Statistics from Nankai University in
2008 and then joined Nankai University in 2009. His research interests include
high-dimensional inference, massive data analysis, change-point/outlier
detection, and dimension reduction.
Title:Model
Checking in Massive Dataset via Pattern-Oriented-Selection
Session 1
Session Title: Recent Advances in Machine Learning
Session Theme: Artificial Intelligence (AI) for Big
Data
Organizer: Yao Wang
Chair: Yao Wang
1)Xi-Le Zhao, University of Electronic Science and Technology of China, xlzhao122003@163.com
Dr. Xi-Le Zhao is a Professor of the School of Mathematical Sciences at University of Electronic Science and Technology of China. He obtained his PhD in Sciences from University of Electronic Science and Technology of China in 2012 and then joined University of Electronic Science and Technology of China in 2013. His research interests include Mathematical modeling and efficient computation of high dimensional image processing.
Titile:Deep Plug-and-play Prior for Low Rank
Tensor Recovery.
2)Zhang Xiongjun, Central China Normal University, xjzhang@mail.ccnu.edu.cn
Zhang Xiongjun is an Assistant Professor of the School of Mathematics and Statistics at Central China Normal University. He obtained his bachelor,s degree from North Minzu Uninversity in 2012 and PhD in Operation Science and Control Theory from HuNan University in 2017 and then joined Central China Normal University.
Titile:Robust Tensor Completion Using tt-SVD.
3)Chuan Chen, Sun Yat-sen University, chenchuan@mail.sysu.edu.cn
Titile:Tensor Decomposition for Multilayer Networks Clustering
4)Jianjun Wang, Southwest University,wjjmath@gmail.com
Titile:Low-tubal-rank plus Sparse Tensor Recovery with Prior Subspace Information
Session 2
Session Title: Big Data Analytics in Disease
Session Theme: Mathematical theories for Big Data;Artificial Intelligence (AI) for Big Data;HER and healthcare Big Data;Bioinformatics Big Data;Precision medicine;Big Data prediction and decision-support systems
Organizer: Jianhong Wu;Zhen Jin
Chair: Jianhong Wu;Zhen Jin
1)Zhongwei Jia, Peking University, urchinjj@163.com
Titile:New Paradigm of Public Health Management on HIV among MSM.
基于大数据的MSM人群艾滋病新型公共卫生管理模式
2)Zhihang Peng, Nanjing Medical University, zhihangpeng@njmu.edu.cn
Titile:Opportunities and Challenges of Large Data Research on EPI for Infectious Diseases.
3)Lei Yu, Shanxi University, yulei@sxu.edu.cn
Titile:Data Driven Based Approach for Diagnosis of Motor Patterns in Parkinson’s Disease.
4)Xin Pei, North University of China, peixin1120@126.com
Xin Pei is a PhD candidate of the School of Science at North University of China.
Titile:Detection of infection sources for avian influenza A (H7N9) in live poultry transport network during the fifth wave in China.
Session 3
Session Title: Big Data for Security and Privacy
Session Theme: Others
Organizer:
Chao Shen, Xi'an Jiaotong University, chaoshen@xjtu.edu.cn
Qian Wang, Wuhan University, qianwang@whu.edu.cn
Qi Li, Tsinghua University, qli01@tsinghua.edu.cn
Chair:
Chao Shen, Xi’an Jiaotong University, chaoshen@xjtu.edu.cn
Qian Wang, Wuhan University, qianwang@whu.edu.cn
Qi Li, Tsinghua University, qli01@tsinghua.edu.cn
1)Cong Wang, City University of Hong Kong, congwang@cityu.edu.hk
Cong Wang is an Associate Professor of Department of Computer Science at City University of Hong Kong. He obtained his Bachelor and Master degree from Wuhan University, and PhD from Illinois Institute of Technology. He was a member of UbiSeC Lab at IIT from 2008 to 2012 and worked at Palo Alto Research Center in the summer of 2011. His primary research interests are in the areas of cloud computing and network security, with current focus on securing the data and computation outsourced into the cloud.
Titile:Towards Secure Data Auditing in Decentralized Storage Networks.
2)Shouling Ji, Georgia Institute of Technology & Zhejiang University, sji@zju.edu.cn
Titile:Artificial Intelligence Security.
3)Qi Li, Tsinghua University, qli01@tsinghua.edu.cn
Titile:Dynamic Packet Forwarding Verification in SDN.
4)Yanjiao Chen, Wuhan University, chenyanjiao@whu.edu.cn
Titile:Privacy-preserving Spectrum Auction in Wireless Networks.
Session 4
Session Title: Big Data for Decision-Making
Session Theme:Others
Organizer: Fulian Yin, Communication University of China, yinfulian@cuc.edu.cn
Chair:Jianhong Wu, York University, Canada, yihong.wu@yale.edu
1)Yongfeng Huang, Tsinghua university, yfhuang@tsinghua.edu.cn
Titile:Affective Recognition and Computing Based on Text.
2)Shaoli Wang, Henan University, wslheda@163.com
obtained his PhD from Xi'an Jiaotong University in 2012 and was visiting the University
of Alberta in Canada in 2012. He worked as a postdoctoral fellow at the York University
in Canada from 2013 to 2014. His research interests include Statistics in Biology, Medicine
or Sociology.
Titile:Bistability and multistability in opinion dynamics.
3)Xiaomei Feng Ph.D. Association Professor, Yuncheng University, xiaomei_0529@126.com
Titile:The Impact of Virus Mutation of Chikungunya Transmation Dynamics
4)Fulian Yin, Communication University of China, yinfulian@cuc.edu.cn
Fulian Yin is an Associate professor of Communication University of China.
Titile:Information Dynamics of Chinese Microblog for public opinion analysis.
Session 5
Session Title: Industrial Statistics and Quality Control
Session Theme: Statistical Theories for Big Data
Organizer: Zhiming Xia
Chair: Zhiming Xia
1)Changliang Zou, Nankai University, nk.chlzou@gmail.com
Titile:Some statistical problems in change-point inference.
2)Dan Wang, Northwest University, wangdan@nwu.edu.cn
Titile:Monitoring persistence change in heavy-tailed observations.
3)Dongdong Xiang, East China Normal University, terryxdd@163.com
Titile:Fault Classification for High-dimensional Data Streams via Directional MDR
4)Zhiming Xia, Northwest University, statxzm@nwu.edu.cn
Titile:Process Monitoring ROC Curve for Evaluating Dynamic Screening Methods.