Tiankai Xie

According to our database, Tiankai Xie authored at least 5 papers between 2020 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

FairRankVis: A Visual Analytics Framework for Exploring Algorithmic Fairness in Graph Mining Models.

Tiankai Xie, Yuxin Ma, Jian Kang, Hanghang Tong, Ross Maciejewski

IEEE Trans. Vis. Comput. Graph., 2022

InfoFair: Information-Theoretic Intersectional Fairness.

Jian Kang, Tiankai Xie, Xintao Wu, Ross Maciejewski, Hanghang Tong

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Auditing the Sensitivity of Graph-based Ranking with Visual Analytics.

Tiankai Xie, Yuxin Ma, Hanghang Tong, My T. Thai, Ross Maciejewski

IEEE Trans. Vis. Comput. Graph., 2021

MultiFair: Multi-Group Fairness in Machine Learning.

Jian Kang, Tiankai Xie, Xintao Wu, Ross Maciejewski, Hanghang Tong

CoRR, 2021

2020

Explaining Vulnerabilities to Adversarial Machine Learning through Visual Analytics.

Yuxin Ma, Tiankai Xie, Jundong Li, Ross Maciejewski

IEEE Trans. Vis. Comput. Graph., 2020