MDSAPT2022
2022 International Symposium on Modern Data Science Application, Practice, and Theory
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
- The Blake Hotel, https://www.theblakenewhaven.com/
- Omni New Haven Hotel At Yale, https://www.omnihotels.com/
- The Study at Yale, https://www.thestudyatyale.com/
- New Haven Hotel, https://www.newhavenhotel.com/
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 |
| Long Feng | University of Hong Kong |
| 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 |
| Runze Li | Pennsylvania State University |
| 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 |
| Hai Shu | New York University |
| Peter Song | University of Michigan |
| Jiayang Sun | George Mason University |
| Huixia Wang | George Washington University |
| Pei Wang | Icahn School of Medicine at Mount Sinai |
| Xiao Wang | Purdue Univeristy |
| Huan Xie | Texas Southern University |
| Minge Xie | Rutgers University |
| Yize Zhao | Yale 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 |
| Harrison Zhou | Yale University |
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 |
Minge
Xie Title: Repro samples method - A general
framework for performance guaranteed statistical inference 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 |
Long
Feng Title: Sparse Kronecker Product Decomposition:
A General Framework of Signal Region Detection in Image Regression |
|
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 |
|
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 |
Runze Li Title: Testing the effects of high-dimensional
covariates via aggregating cumulative covariances |
|
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:
Harrison
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 |
Yize Zhao Title: Heterogeneity Analysis on Multi-state
Brain Functional Connectivity and Adolescent Neurocognition |
|
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:
CDPA: Common and Distinctive Pattern Analysis between
High-dimensional Datasets |
|
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
- Hongtu Zhu, htzhu@email.unc.edu
- Xueqin Wang, wangxq20@ustc.edu.cn
- Donna DelBasso, donna.delbasso@yale.edu
Acknowledgements
We are very grateful to the Yale School of Public Health Biostatistics Department, Zhifa Liu, Cloud Alliance Inc, New England Statistical Society, Connecticut Chapter of the American Statistical Association and Statistical Learning and Data Science Section of the American Statistical Association for their sponsorships.
