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Keynote Speakers

Zongben Xu
Professor Zongben Xu is an academician of Chinese Academy of Sciences, mathematician, signal and information processing expert Xi'an Jiaotong University. He was a Vice President of Xi'an Jiaotong University, and is currently the Deputy Director of the Information Technology Science Department of the Chinese Academy of Sciences; Dean of Xi'an Institute of Mathematics and Mathematics Technology, Xi'an Jiaotong University; Director of the National Engineering Laboratory of Big Data Algorithms and Analysis Technology. He is a member of the National Advisory Committee of Big Data Experts, and a member of the National New Generation Open Innovation Platform for Artificial Intelligence.

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



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,

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,

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,


Chuan Chen received the PhD degree from the Hong Kong Baptist University in 2016 and worked as a postdoc researcher in the Department of Electrical Engineering, KU Leuven. He is currently a Research Associate Professor at the School of Data and Computer Science with Sun Yat-sen University, China. He published over 30 international journals including TNNLS, TIP, NLA and conference papers including ICML, AAAI, IJCAI, ICDM. His research interests primarily centred around numerical linear algebra, optimisation and their applications in machine learning (e.g. network mining, multi-view learning).
Titile:Tensor Decomposition for Multilayer Networks Clustering

4)Jianjun Wang, Southwest University,

Jianjun Wang is a Professor in the College of Artifical Intelligence at Southwest University of China. He received his Ph.D degree in applied mathematics from the Institute for Information and System Science, Xi’an Jiaotong University in 2006. His current interest includes Sparse recovery, Low rank tensor/ matrix recovery and Deep learning.

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,

Zhongwei Jia is a Professor of National Institute on Drug Dependence at Peking University. She engaged in social coupling network research on drug abuse and infectious diseases, drug abuse and infectious disease prevention and control based on artificial intelligence, and drug abuse management model based on Internet+ and artificial intelligence technology.
Titile:New Paradigm of Public Health Management on HIV among MSM.

2)Zhihang Peng, Nanjing Medical University,

Zhihang Peng is a postgraduate tutor of School of public health in Nanjing Medical University, is the leader of Young academic in Jiangsu Qinlan Project, a distinguished backbone teacher of Nanjing Medical University, and the president of Federation of young teachers of Nanjing Medical University. He engaged in the theory and application of epidemiology and health statistics. 
Titile:Opportunities and Challenges of Large Data Research on EPI for Infectious Diseases.

3)Lei Yu, Shanxi University,

Yu lei is an Associate Professor of the Institute of Complex Research Center at shanxi University. He mainly engaged in physiological system modeling and simulation, biomedical signal processing, machine learning, data mining, data visualization and software development.
Titile:Data Driven Based Approach for Diagnosis of Motor Patterns in Parkinson’s Disease.

4)Xin Pei, North University of China,

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
Chao Shen, Xi'an Jiaotong University,
Qian Wang, Wuhan University,
Qi Li, Tsinghua University,
Chao Shen, Xi’an Jiaotong University,
Qian Wang, Wuhan University,
Qi Li, Tsinghua University,

1)Cong Wang, City University of Hong Kong,

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,

Shouling Ji is a Professor in the School of Electrical and Computer Engineering at Georgia Institute of Technology. He received a PhD in Electrical and Computer Engineering from Georgia Institute of Technology, a PhD in Computer Science from Georgia State University. His current research interests include Data-driven Security and Privacy and Big Data Analytics. He was selected into the National 1000 Young Talents Program, the Zhejiang 1000-Talents Program, and the ZJU 100-Talents Program.
Titile:Artificial Intelligence Security.

3)Qi Li, Tsinghua University,
Qi Li is an Associate Professor of Institute for Network Sciences and Cyberspace at Tsinghua University. He obtained his Bachelor, Master, and PhD degree from Tsinghua University. He worked as a postdoctoral fellow at University of Texas at San Antonio from 2012 to 2013, served as a research scientist at Swiss Federal Institute of Technology Zurich from 2013 to 2014. His research interests include Internet and Cloud Security, Mobile Security, Machine Learning and Security, Big Data Security and Blockchain and Security.
Titile:Dynamic Packet Forwarding Verification in SDN.

4)Yanjiao Chen, Wuhan University,
Yanjiao Chen is a Professor of Department of Computer Science at Wuhan University. She received her Bachelor degree in Electronic Engineering from Tsinghua University and her PhD in Computer Science and Engineering from Hong Kong University of Science and Technology. During May 2015 to April 2016, Dr. Chen has been working as a postdoctoral fellow at the University of Toronto. She has joined the Department of Computer Science, Wuhan University as a Professor in May 2016. Her research interests include Network Economics, Wireless and Mobile Networks, Crowdsourcing and Cloud Computing.
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,      
Chair:Jianhong Wu, York University, Canada,

1)Yongfeng Huang, Tsinghua university,
Huang Yongfeng is a Professor of Electronics Engineering Department and New Generation Network Technology and Applications at Tsinghua University, PhD adviser, Minjiang scholar. He mainly engaged in the research and teaching of network and network security technologies. 
Titile:Affective Recognition and Computing Based on Text.

2)Shaoli Wang, Henan University,
Shaoli Wang is an Associate Professor of School of Mathematics at Henan University. He   
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 Feng is an Associate professor of the School of Mathematics and Information Technology at Yuncheng University. She obtained her PhD from Xinjiang in 2014. Her research interests include mathematical modelling, epidemiology dynamics and data fitting.
Titile:The Impact of Virus Mutation of Chikungunya Transmation Dynamics

4)Fulian Yin, Communication University of China,

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,
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.
Titile:Some statistical problems in change-point inference.

2)Dan Wang, Northwest University,
Dan Wang is an Assistant Professor of the School of Mathematics at Northwestern University. She obtained her Bachelor degree from Northwestern University in 2009 and PhD from Northwestern University in 2014 and then joined Northwestern University.
Titile:Monitoring persistence change in heavy-tailed observations.

3)Dongdong Xiang, East China Normal University,
Dongdong Xiang is an Associate Professor of the School of Statistics at East China Normal University. He worked as a postdoctoral fellow at the Hong Kong University of Science and Technology from 2013 to 2014 and worked as a postdoctoral fellow at the Wharton School of the University of Pennsylvania from 2016 to 2018. His research interests include statistical process control, large-scale multiple testing and sequential analysis.
Titile:Fault Classification for High-dimensional Data Streams via Directional MDR

4)Zhiming Xia, Northwest University,
Zhiming Xia is a Professor of the School of Mathematics at Northwestern University, PhD adviser, executive director of Shaanxi Statistical Association. He was visiting the Hong Kong University of Science and Technology, the University of Florida and other scientific research institutions. He mainly devoted to tensor data analysis, big data heterogeneity structure inference, distributed statistical inference and calculation, biostatistics and other theory and applied research in data science. 
Titile:Process Monitoring ROC Curve for Evaluating Dynamic Screening Methods.

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