Tiankai Xie

According to our database, Tiankai Xie authored at least 10 papers between 2020 and 2026.

Collaborative distances:

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

2026

Landscaper: Understanding Loss Landscapes Through Multi-Dimensional Topological Analysis.

Jiaqing Chen, Nicholas Hadler, Tiankai Xie, Rostyslav Hnatyshyn, Caleb Geniesse, Yaoqing Yang, Michael W. Mahoney, Talita Perciano, John F. Hartwig, Ross Maciejewski, Gunther H. Weber

CoRR, February, 2026

2025

LossLens: Diagnostics for Machine Learning Through Loss Landscape Visual Analytics.

Tiankai Xie, Jiaqing Chen, Yaoqing Yang, Caleb Geniesse, Ge Shi, Ajinkya Chaudhari, John Kevin Cava, Michael W. Mahoney, Talita Perciano, Gunther H. Weber, Ross Maciejewski

IEEE Computer Graphics and Applications, 2025

2024

DPKnob: A visual analysis approach to risk-aware formulation of differential privacy schemes for data query scenarios.

Shuangcheng Jiao, Jiang Cheng, Zhaosong Huang, Tong Li, Tiankai Xie, Wei Chen, Yuxin Ma, Xumeng Wang

Vis. Informatics, 2024

Visualizing Loss Functions as Topological Landscape Profiles.

Caleb Geniesse, Jiaqing Chen, Tiankai Xie, Ge Shi, Yaoqing Yang, Dmitriy Morozov, Talita Perciano, Michael W. Mahoney, Ross Maciejewski, Gunther H. Weber

CoRR, 2024

Evaluating Loss Landscapes from a Topology Perspective.

Tiankai Xie, Caleb Geniesse, Jiaqing Chen, Yaoqing Yang, Dmitriy Morozov, Michael W. Mahoney, Ross Maciejewski, Gunther H. Weber

CoRR, 2024

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