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2020 – today
- 2024
[i10]Zonglin Di, Sixie Yu, Yevgeniy Vorobeychik, Yang Liu:
Adversarial Machine Unlearning. CoRR abs/2406.07687 (2024)- 2022
- [c11]Sixie Yu, P. Jeffrey Brantingham, Matthew Valasik, Yevgeniy Vorobeychik:
Learning binary multi-scale games on networks. UAI 2022: 2310-2319 - 2021
- [j1]Chen Hajaj
, Zlatko Joveski, Sixie Yu, Yevgeniy Vorobeychik:
Robust coordination in adversarial social networks: From human behavior to agent-based modeling. Netw. Sci. 9(3): 255-290 (2021) - [c10]Sixie Yu:
Design and Analysis of Networks under Strategic Behavior. AAMAS 2021: 1848-1849 - [c9]Sixie Yu, David Kempe, Yevgeniy Vorobeychik:
Altruism Design in Networked Public Goods Games. IJCAI 2021: 493-499 - [c8]Sixie Yu, Leo Torres, Scott Alfeld, Tina Eliassi-Rad, Yevgeniy Vorobeychik:
POTION : Optimizing Graph Structure for Targeted Diffusion. SDM 2021: 154-162 - [i9]Sixie Yu, David Kempe, Yevgeniy Vorobeychik:
Altruism Design in Networked Public Goods Games. CoRR abs/2105.00505 (2021) - 2020
- [c7]Sixie Yu, Kai Zhou, P. Jeffrey Brantingham, Yevgeniy Vorobeychik:
Computing Equilibria in Binary Networked Public Goods Games. AAAI 2020: 2310-2317 - [c6]David Kempe, Sixie Yu, Yevgeniy Vorobeychik:
Inducing Equilibria in Networked Public Goods Games through Network Structure Modification. AAMAS 2020: 611-619 - [i8]David Kempe, Sixie Yu, Yevgeniy Vorobeychik:
Inducing Equilibria in Networked Public Goods Games through Network Structure Modification. CoRR abs/2002.10627 (2020) - [i7]Sixie Yu, Leonardo Torres, Scott Alfeld, Tina Eliassi-Rad, Yevgeniy Vorobeychik:
Optimizing Graph Structure for Targeted Diffusion. CoRR abs/2008.05589 (2020)
2010 – 2019
- 2019
- [c5]Sixie Yu, Yevgeniy Vorobeychik:
Removing Malicious Nodes from Networks. AAMAS 2019: 314-322 - [c4]Chen Hajaj, Sixie Yu, Zlatko Joveski, Yifan Guo, Yevgeniy Vorobeychik:
Adversarial Coordination on Social Networks. AAMAS 2019: 1515-1523 - [i6]Sixie Yu, Yevgeniy Vorobeychik:
Distributionally Robust Removal of Malicious Nodes from Networks. CoRR abs/1901.11463 (2019) - [i5]Sixie Yu, Kai Zhou, P. Jeffrey Brantingham, Yevgeniy Vorobeychik:
Computing Equilibria in Binary Networked Public Goods Games. CoRR abs/1911.05788 (2019) - 2018
- [c3]Sixie Yu, Yevgeniy Vorobeychik, Scott Alfeld:
Adversarial Classification on Social Networks. AAMAS 2018: 211-219 - [c2]Liang Tong, Sixie Yu, Scott Alfeld, Yevgeniy Vorobeychik:
Adversarial Regression with Multiple Learners. ICML 2018: 4953-4961 - [i4]Sixie Yu, Yevgeniy Vorobeychik, Scott Alfeld:
Adversarial Classification on Social Networks. CoRR abs/1801.08159 (2018) - [i3]Liang Tong, Sixie Yu, Scott Alfeld, Yevgeniy Vorobeychik:
Adversarial Regression with Multiple Learners. CoRR abs/1806.02256 (2018) - [i2]Chen Hajaj, Sixie Yu, Zlatko Joveski, Yevgeniy Vorobeychik:
Adversarial Coordination on Social Networks. CoRR abs/1808.01173 (2018) - [i1]Sixie Yu, Yevgeniy Vorobeychik:
Removing Malicious Nodes from Networks. CoRR abs/1812.11448 (2018) - 2015
- [c1]Qiang Song, Sixie Yu, Cong Leng, Jiaxiang Wu, Qinghao Hu, Jian Cheng:
Learning Deep Features For MSR-bing Information Retrieval Challenge. ACM Multimedia 2015: 169-172
Coauthor Index
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