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2020 – today
- 2024
[j4]Shuangcheng Jiao, Jiang Cheng, Zhaosong Huang, Tong Li, Tiankai Xie, Wei Chen, Yuxin Ma, Xumeng Wang:
DPKnob: A visual analysis approach to risk-aware formulation of differential privacy schemes for data query scenarios. Vis. Informatics 8(1): 42-52 (2024)- 2022
- [j3]Tiankai Xie, Yuxin Ma, Jian Kang
, Hanghang Tong, Ross Maciejewski:
FairRankVis: A Visual Analytics Framework for Exploring Algorithmic Fairness in Graph Mining Models. IEEE Trans. Vis. Comput. Graph. 28(1): 368-377 (2022) - [c1]Jian Kang, Tiankai Xie, Xintao Wu, Ross Maciejewski, Hanghang Tong:
InfoFair: Information-Theoretic Intersectional Fairness. IEEE Big Data 2022: 1455-1464 - 2021
- [j2]Tiankai Xie, Yuxin Ma, Hanghang Tong, My T. Thai, Ross Maciejewski:
Auditing the Sensitivity of Graph-based Ranking with Visual Analytics. IEEE Trans. Vis. Comput. Graph. 27(2): 1459-1469 (2021) - [i3]Jian Kang, Tiankai Xie, Xintao Wu, Ross Maciejewski, Hanghang Tong:
MultiFair: Multi-Group Fairness in Machine Learning. CoRR abs/2105.11069 (2021) - 2020
- [j1]Yuxin Ma, Tiankai Xie, Jundong Li, Ross Maciejewski:
Explaining Vulnerabilities to Adversarial Machine Learning through Visual Analytics. IEEE Trans. Vis. Comput. Graph. 26(1): 1075-1085 (2020) - [i2]Tiankai Xie, Yuxin Ma, Hanghang Tong, My T. Thai, Ross Maciejewski:
Auditing the Sensitivity of Graph-based Ranking with Visual Analytics. CoRR abs/2009.07227 (2020)
2010 – 2019
- 2019
- [i1]Yuxin Ma, Tiankai Xie, Jundong Li, Ross Maciejewski:
Explaining Vulnerabilities to Adversarial Machine Learning through Visual Analytics. CoRR abs/1907.07296 (2019)
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