MDSAPT2022

2022 International Symposium on Modern Data Science Application, Practice, and Theory

Registration

MDSAPT2022
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MDSAPT2022

Nowadays, the new generation of information technology, represented by the Internet, big data, and artificial intelligence, is changing with each passing day. In order to promote the vigorous development of the application, practice, and theory of modern data science, facilitate communication and cooperation among statisticians around the world, and build a global academic exchange platform in the frontier field of data science, 2022 International Frontiers Forum on Modern Data Science Applications, Practice, and Theory will be held at Yale School of Public Health in New Haven, Connecticut, USA on November 19-20, 2022. This conference will bring together the world’s top experts and scholars to conduct open discussions and exchanges on international hot issues and core technologies in the field of data science. The relevant notices are as follows.

Notices

Theme of the Symposium

The conference will focus on the development trends of the frontier fields of modern data science, as well as the opportunities and challenges faced by countries around the world in scientific research, application practice, and theoretical breakthroughs in relevant fields, aiming to provide a platform for exchanges between statisticians from all over the world.

Symposium Arrangements

  • Date: November 19 (Saturday) and November 20 (Sunday), 2022.
  • Location: Winslow Auditorium (60 College Street), Yale University, New Haven, Connecticut, USA.

Transportation and Accommodations

Attendees are advised to arrange their own travel and accommodations. Here are some recommendations.

Accommodations

Transportation

  • By train: New Haven, Union Station (NHV) | Amtrak
  • By air: Tweed New Haven Airport (HVN) or Hartford-Bradley Airport (BDL)

Speakers

Name Institute
Xuan Bi University of Minnesota
Tony Cai University of Pennsylvania
Minghui Chen University of Connecticut
Xiang Chen St. Jude Children’s Research Hospital
Xiaohong Chen Yale University
Jianqing Fan Princeton University
Rui Feng University of Pennsylvania
Ofer Harel University of Connecticut
Xuming He University of Michigan
Chao Huang Florida State University
Yuan Jiang Oregon State University
Dehan Kong University of Toronto
Linglong Kong University of Alberta
Zhenhua Lin National University of Singapore
Ching-Ti Liu Boston University
Chuanhai Liu Purdue University
Dungang Liu University of Cincinnati
Yufeng Liu University of North Carolina at Chapel Hill
Shuangge Ma Yale University
Bin Nan University of California at Irvine
Yue Niu University of Arizona
Annie Qu University of California at Irvine
Benjamin Risk Emory University
Sanjay S. Shete University of Texas MD Anderson Cancer Center
Hai Shu New York University
Peter Song University of Michigan
Jiayang Sun George Mason University
Huixia Wang George Washington University
Pei Wang Fred Hutch and University of Washington
Xiao Wang Purdue Univeristy
Feifei Xiao Univeristy of Florida
Huan Xie Texas Southern University
Mingge Xie Rutgers University
Ying Wei Columbia University
Cunhui Zhang Rutgers University
Xiaohua Zhang Univeristy of Kentucky
Zhengwu Zhang University of North Carolina at Chapel Hill
Bingxin Zhao University of Pennsylvania
Jiwei Zhao University of Wisconsin-Madison
Harris Zhou Yale University
Ji Zhu University of Michigan

Schedule

 

11/19

Time

Summary

Morning

 

8:00-8:10

Chair:

Hongtu Zhu

Opening Ceremony

Shuangge Ma

8:10-8:35

Chair

Zhenhua Lin

Jianqing Fan

Title: Factor Augmented Sparse Throughput Deep ReLU Neural Networks for High Dimensional Regression

 

8:35-9:00

 

Cunhui Zhang

Title: SURE-tuned Lasso

 

9:00-9:25

 

Annie Qu

Title: Crowdsourcing Utilizing Subgroup Structure of Latent Factor Modeling

 

9:25-9:50

 

Mingge Xie

Title: Repro samples method: A general framework for performance guaranteed finite- and large-sample frequentist inferences in data science

 

 

Break

 

10:20-10:45

Chair

Dehan Kong

Shuangge Ma

Title: Gene-environment interaction analysis assisted by multi-level hierarchical prior information

 

10:45-11:10

 

Ofer Harel

Title: Clusters disagreements between training and testing data

 

11:10-11:35

 

Feifei Xiao

Title: A statistical learning method for simultaneous copy number estimation and subclone clustering with single-cell-sequencing data

 

11:35-12:00

 

Yue Niu

Title: Equivariant Variance Estimation for Multiple Change-point Model

 

Afternoon

 

13:30-13:50

Chair:

Yize Zhao

Bingxin Zhao

Title: Understanding high-dimensional sparsity-free prediction using approximate message passing with genetic applications

 

13:50-14:10

Dehan Kong

Title: Fighting Noise with Noise: Causal Inference with Many Candidate Instruments

 

14:10-14:30

Linglong Kong
Title:
Identification, Amplification and Measurement: A bridge to Gaussian Differential Privacy

 

14:30-14:50

Benjamin Risk

Title:Unsupervised learning in data integration studies using JIVE with Gaussian mixtures

 

14:50-15:10

Chao Huang

Title: S-GMAS: Shape based Genome-wide Mediation Analysis

 

15:10-15:30

Zhengwu Zhang

Title: Surface-based Brain Connectivity Analysis

 

 

Break

 

16:00-16:25

Chair:

Zhengwu Zhang

Xiaohong Chen

Title: Identification and Estimation of Treatment Effects in the Limited Overlap Region

16:25-16:50

Yufeng Liu

Title: On Robustness of Individualized Decision Rules

 

16:50-17:15

Ji Zhu

Title: Modeling Hypergraphs with Diversity and Heterogeneous Popularity

 

17:15-17:40

Chuanhai Liu

Title: Reweighted Anderson-Darling Tests of Goodness-of-Fit

 

17:40-18:05

Yuan Jiang

Title: Stability Approach to Regularization Selection for Reduced-Rank Regression

 

11/20

Morning

 

8:00-8:25

Chair:

Harris Zhou

 

Tony Cai

Title: Transfer Learning: Optimality and Adaptive Algorithms

 

8:25-8:50

Xuming He

Title: Covariate-adjusted Expected Shortfall

 

8:50-9:15

Peter Song

Title: Kidney Paired Donation Programs

 

9:15-9:40

Jiayang Sun

Title: Semi-parametric Learning for feature selection

 

 

Break

 

10:00-10:25

Chair:

Linglong Kong

Pei Wang

Title: iProMix: A mixture model for studying the function of ACE2 based on bulk proteogenomic data

 

10:25-10:50

Huixia Wang

Title: Copula-based Multiple Indicator Kriging for non-Gaussian Random Fields

 

10:50-11:15

Xiao Wang

Title: Efficient Multimodal Sampling via Tempered Distribution Flow

 

11:15-11:40

Bin Nan

Title: Conditional Survival Function Estimation Using Neural Networks for Censored Data with Time-Varying Covariates

 

11:40-12:05

Ying Wei

Title: Quantile Regression for Nonignorable Missing Data with Its Application of Analyzing Electronic Medical Records

 

Afternoon

 

13:30-13:50

Chair:

Fenghai Duan

 

Xuan Bi

Title: Distribution-invariant differential privacy

13:50-14:10

Rui Feng

Title: Interpretability of Deep Neural Networks for Structured Input Data

 

14:10-14:30

Jiwei Zhao

Title: Nonregular and minimax estimation of individualized thresholds in high dimension with binary responses

 

14:30-14:50

Ching-Ti Liu

Title: ANNORE: genetic fine-mapping with functional annotation

 

14:50-15:10

Dungang Liu

Title: Model diagnostics of discrete data regression: a unifying framework using functional residuals

 

15:10-15:30

Huan Xie

Title: Pre-Clinical Drug Development: Computational Design, Screening, Formulation and Pharmacokinetics/Pharmacodynamics

 

 

Break

 

16:00-16:25

Chair:

Cai Li

Xiang Chen

Title: Understanding the functional contributions of epigenetic deregulations in pediatric solid tumors

 

16:25-16:50

Xiaohua Zhang

Title: Analyzing Continuous Glucose Monitoring Data for Diabetes

 

16:50-17:15

Zhenhua Lin

Title: Optimal One-pass Nonparametric Estimation Under Memory Constraint

 

17:15-17:40

Hai Shu

Title: Orthogonal Common-Source and Distinctive-Source Decomposition Between High-Dimensional Data Views

 

17:40-18:05

Minghui Chen

Title: Bayesian Model Assessment for Jointly Modeling Multidimensional Response Data with Application to Computerized Testing

 

18:05-18:10

Heping Zhang

Concluding Remarks

 

 

Program committee

  • Hongtu Zhu, University of North Carolina at Chapel Hill
  • Xueqin Wang, University of Science and Technology of China
  • Yize Zhao, Yale University
  • Rui Feng, University of Pennsylvania
  • Linglong Kong, University of Alberta
  • Donna DelBasso, Yale University

Contact Information

Acknowledgements

We are very grateful to the Yale School of Public Health Biostatistics Department, Zhifa Liu, Cloud Alliance Inc, New England Statistical Society and Connecticut Chapter of the American Statistical Association for their sponsorships.

Talk Information Submission