SNAB Program

Time

Speaker

Title

Monday, June 8, 2026

08:15 – 08:35

Registration

08:35 – 08:45

Opening Remarks

Session 1

08:45 – 10:30

Tony Cai, University of Pennsylvania

Vince Lyzinski, University of Maryland, College Park

Jingming Wang, University of Virginia

Detecting Weak Spikes by Counting Cycles

TBA

10:30 – 11:00

Coffee Break

Session 2

11:00 – 12:15

Ji Zhu, University of Michigan

Junhui Wang, The Chinese University of Hong Kong

Community Detection in Heterogeneous Signed Networks

Joshua Agterberg

University of Illinois Urbana-Champaign

Statistically and Computationally Optimal Estimation and Inference of Common Subspaces

12:15 – 13:55

Lunch

Session 3

14:00 – 15:15

Jun Liu, Tsinghua University

Yinqiu He, University of Wisconsin–Madison

Bridging Theory and Practice: Statistical Inference of Latent Space Models for Networks

Min Xu, Rutgers University

Statistical Problems on Sequential Network Models

15:15 – 15:45

Coffee Break

Session 4

15:45 – 17:00

Hansheng Wang, Peking University

Minh Tang, North Carolina State University

Eigenvector Fluctuations and Limit Results for Random Graphs with Infinite Rank Kernels

Yuqi Gu, Columbia University

Tuesday, June 9, 2026

Session 5

08:45 – 10:00

Songxi Chen, Tsinghua University

Maggie Niu, Pennsylvania State University

Wen Zhou, New York University

Adaptive Inference for Stratified Network Effects with an Application to Asymmetric Partisan Polarization

10:00 – 10:30

Coffee Break

Session 6

10:30 – 11:45

Emma Zhang, Emory University

Estimating Treatment and Spillover Effects with the Ego-Cluster Experimental Design

Zach Lubberts, University of Virginia

11:45 – 13:25

Lunch

Session 7

13:30 – 14:45

Yuhong Yang, Tsinghua University

Wanjie Wang, National University of Singapore

Optimal Differential Privacy in Social Networks

Can Le, University of California, Davis

14:45 – 15:15

Coffee Break

Session 8

15:15 – 16:30

Marianna Pensky, University of Central Florida

Yongdai Kim, Seoul National University

Huimin Cheng, Boston University

16:30 – 17:30

Poster Session

18:00 – 20:30

Banquet

Wednesday, June 10, 2026

Session 9

08:45 – 10:30

Annie Qu

University of California, Santa Barbara

Anderson Ye Zhang

University of Pennsylvania

Misspecified Maximum Likelihood Estimation for Non-uniform Group Orbit Recovery

Yumou Qiu

Peking University

TBA

10:30 – 11:00

Coffee Break

Session 10

11:00 – 12:15

Jiashun Jin

Carnegie Mellon University

Shurong Zheng

Northeast Normal University

Hao Chen

University of California, Davis

Community Detection Across Mixing Patterns for Two or More Communities

12:15 – 13:55

Lunch

Session 11

14:00 – 15:15

Guangming Pan

Nanyang Technological University

Weijing Tang

Carnegie Mellon University

Shapley Density: A Population Approach to Data Valuation

Chenlei Leng

The Hong Kong Polytechnic University

A Propagation Framework for Network Regression

15:15 – 15:45

Coffee Break

Session 12

15:45 – 17:00

Xiaotong Shen

University of Minnesota

Tan Minh Nguyen

National University of Singapore

Tight Clusters Make Specialized Experts

Xiaodong Li

University of California, Davis

17:00 – 17:15

Closing Remarks and Poster Awards

Thursday, June 11, 2026: One-day Ha Long Bay Tour