Wendy Cho

University of Illinois at Urbana-Champaign

Social, Behavioral, and Economic Sciences

2017

Cain, Bruce E., Wendy K. Tam Cho, Yan Y. Liu, and Emily Zhang (2017): A Reasonable Bias Method for Redistricting: A New Tool for an Old Problem, William & Mary Law Review (submitted), Vol 59

2016

Wendy K. Tam Cho, and Yan Y. Liu (2016): Toward a Talismanic Redistricting Tool: A Computational Method for Identifying Extreme Redistricting Plans, Election Law Journal: Rules, Politics, and Policy, Mary Ann Liebert Inc, Vol 15, Num 4, pp351--366
Yan Y. Liu, Wendy K. Tam Cho, and Shaowen Wang (2016): PEAR: A Massively Parallel Evolutionary Computation Approach for Political Redistricting Optimization and Analysis, Swarm and Evolutionary Computation, Elsevier BV, Vol 30, pp78--92
Wendy K. Tam Cho, and Yan Y. Liu (2016): A Parallel Evolutionary Algorithm for Subset Selection in Causal Inference Models, ACM Press, Proceedings of the XSEDE16 on Diversity, Big Data, and Science at Scale, pp7:1-7:8, Miami, Florida, U.S.A.

2015

Yan Y. Liu, Wendy K. Tam Cho, and Shaowen Wang (2015): A Scalable Computational Approach to Political Redistricting Optimization, Proceedings of the 2015 XSEDE Conference on Scientific Advancements Enabled by Enhanced Cyberinfrastructure (XSEDE '15), ACM Press, pp6:1, St Louis, Missouri, U.S.A.

Wendy K. Tam Cho, and Yan Y. Liu: A High-Performance Approach for Solution Space Traversal in Combinatorial Optimization


The International Conference for High Performance Computing, Networking, Storage and Analysis (SC15); Austin, Texas, U.S.A., Nov 17, 2015
Wendy K. Tam Cho: Enabling Redistricting Reform: A Computational Study of Zoning Optimization
Blue Waters Symposium 2017, May 18, 2017

Bruce E. Cain, W. K. Tam Cho: A Reasonable Bias Method for Redistricting: A New Tool for an Old Problem


113th American Political Science Association (APSA) Annual Meeting and Exhibition; San Francisco, California, U.S.A., Sep 1, 2017