Select Publication

Trustworthy ML

• Chen Hajaj, Sixie Yu, Zlatko Joveski, Yifan Guo, Yevgeniy Vorobeychik “Adversarial Coordination on Social Networks” (AAMAS 2019)
• Liang Tong*, Sixie Yu*, Scott Alfeld, Yevgeniy Vorobeychik. “Adversarial Regression with Multiple Learners” (ICML 2018) [code] (* Equal Contribution)
• Sixie Yu, Yevgeniy Vorobeychik, Scott Alfeld. “Adversarial Classification on Social Networks” (AAMAS 2018)

Learning Behavior from Data

• Sixie Yu, P. Jeffrey Brantingham, Matthew Valasik, Yevgeniy Vorobeychik “Learning Binary Multi-Scale Games on Networks” (UAI 2022) [code]
• Chen Hajaj, Zlatko Joveski, Sixie Yu, Yevgeniy Vorobeychik “Robust coordination in adversarial social networks: From human behavior to agent-based modeling” (Network Science 2021)
• Yevgeniy Vorobeychik, Zlatko Joveski, Sixie Yu. “Does Communication Help People Coordinate?” (PLOS ONE 2017)

Designing Strategic Behavior

• Sixie Yu, David Kempe, Yevgeniy Vorobeychik “Altruism Design in Networked Public Goods Games” (IJCAI 2021)
• David Kempe, Sixie Yu, Yevgeniy Vorobeychik “Inducing Equilibria in Networked Public Goods Games through Network Structure Modification” (AAMAS 2020)
• Sixie Yu*, Kai Zhou*, P. Jeffrey Brantingham, Yevgeniy Vorobeychik “Computing Equilibria in Binary Networked Public Goods Games” (AAAI 2020) (* Equal Contribution)

Other

• Sixie Yu*, Leonardo Torres*, Scott Alfeld, Tina Eliassi-Rad, Yevgeniy Vorobeychik “Optimizing Graph Structure for Targeted Diffusion” (SDM 2021) [code] (* Equal Contribution)
• Sixie Yu, Yevgeniy Vorobeychik “Removing Malicious Nodes from Networks” (AAMAS 2019) [code]