Tiankai Xie

13 papers B 1Journal 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Landscaper: Understanding Loss Landscapes Through Multi-Dimensional Topological Analysis.
CoRR
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
2025 J jnl
LossLens: Diagnostics for Machine Learning Through Loss Landscape Visual Analytics.
IEEE Computer Graphics and Applications
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
2024 J jnl
DPKnob: A visual analysis approach to risk-aware formulation of differential privacy schemes for data query scenarios.
Vis. Informatics
Shuangcheng Jiao, Jiang Cheng, Zhaosong Huang, Tong Li, Tiankai Xie, Wei Chen, Yuxin Ma, Xumeng Wang
2024 J jnl
Evaluating Loss Landscapes from a Topology Perspective.
CoRR
Tiankai Xie, Caleb Geniesse, Jiaqing Chen, Yaoqing Yang, Dmitriy Morozov, Michael W. Mahoney, Ross Maciejewski, Gunther H. Weber
2024 J jnl
LossLens: Diagnostics for Machine Learning through Loss Landscape Visual Analytics.
CoRR
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
2024 J jnl
Visualizing Loss Functions as Topological Landscape Profiles.
CoRR
Caleb Geniesse, Jiaqing Chen, Tiankai Xie, Ge Shi, Yaoqing Yang, Dmitriy Morozov, Talita Perciano, Michael W. Mahoney, Ross Maciejewski, Gunther H. Weber
2022 J jnl
FairRankVis: A Visual Analytics Framework for Exploring Algorithmic Fairness in Graph Mining Models.
IEEE Trans. Vis. Comput. Graph.
Tiankai Xie, Yuxin Ma, Jian Kang, Hanghang Tong, Ross Maciejewski
2022 B conf
InfoFair: Information-Theoretic Intersectional Fairness.
IEEE Big Data
Jian Kang, Tiankai Xie, Xintao Wu, Ross Maciejewski, Hanghang Tong
2021 J jnl
Auditing the Sensitivity of Graph-based Ranking with Visual Analytics.
IEEE Trans. Vis. Comput. Graph.
Tiankai Xie, Yuxin Ma, Hanghang Tong, My T. Thai, Ross Maciejewski
2021 J jnl
MultiFair: Multi-Group Fairness in Machine Learning.
CoRR
Jian Kang, Tiankai Xie, Xintao Wu, Ross Maciejewski, Hanghang Tong
2020 J jnl
Auditing the Sensitivity of Graph-based Ranking with Visual Analytics.
CoRR
Tiankai Xie, Yuxin Ma, Hanghang Tong, My T. Thai, Ross Maciejewski
2020 J jnl
Explaining Vulnerabilities to Adversarial Machine Learning through Visual Analytics.
IEEE Trans. Vis. Comput. Graph.
Yuxin Ma, Tiankai Xie, Jundong Li, Ross Maciejewski
2019 J jnl
Explaining Vulnerabilities to Adversarial Machine Learning through Visual Analytics.
CoRR
Yuxin Ma, Tiankai Xie, Jundong Li, Ross Maciejewski