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Tiankai Xie
Tiankai Xie
Postdoctoral Research Scholar at Arizona State University
Verified email at asu.edu - Homepage
Title
Cited by
Cited by
Year
Explaining vulnerabilities to adversarial machine learning through visual analytics
Y Ma, T Xie, J Li, R Maciejewski
IEEE transactions on visualization and computer graphics 26 (1), 1075-1085, 2019
742019
Fairrankvis: A visual analytics framework for exploring algorithmic fairness in graph mining models
T Xie, Y Ma, J Kang, H Tong, R Maciejewski
IEEE Transactions on Visualization and Computer Graphics 28 (1), 368-377, 2021
272021
Multifair: Multi-group fairness in machine learning
J Kang, T Xie, X Wu, R Maciejewski, H Tong
arXiv preprint arXiv:2105.11069, 2021
192021
Infofair: Information-theoretic intersectional fairness
J Kang, T Xie, X Wu, R Maciejewski, H Tong
2022 IEEE International Conference on Big Data (Big Data), 1455-1464, 2022
182022
Auditing the sensitivity of graph-based ranking with visual analytics
T Xie, Y Ma, H Tong, MT Thai, R Maciejewski
IEEE Transactions on Visualization and Computer Graphics 27 (2), 1459-1469, 2020
102020
Explaining the Vulnerabilities of Machine Learning through Visual Analytics
T Xie
Arizona State University, 2023
2023
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