Xin Du

According to our database, Xin Du authored at least 12 papers between 2018 and 2025.

Collaborative distances:

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

2025

Conformalized Exceptional Model Mining: Telling Where Your Model Performs (Not) Well.

Xin Du, Sikun Yang, Wouter Duivesteijn, Mykola Pechenizkiy

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

Beyond Discriminant Patterns: On the Robustness of Decision Rule Ensembles.

Xin Du, Subramanian Ramamoorthy, Wouter Duivesteijn, Jin Tian, Mykola Pechenizkiy

Proceedings of the IEEE International Conference on Data Mining, 2025

2022

Vision Checklist: Towards Testable Error Analysis of Image Models to Help System Designers Interrogate Model Capabilities.

Xin Du, Bénédicte Legastelois, Bhargavi Ganesh, Ajitha Rajan, Hana Chockler, Vaishak Belle, Stuart Anderson, Subramanian Ramamoorthy

CoRR, 2022

Risk-Driven Design of Perception Systems.

Anthony Corso, Sydney M. Katz, Craig Innes, Xin Du, Subramanian Ramamoorthy, Mykel J. Kochenderfer

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Adversarial balancing-based representation learning for causal effect inference with observational data.

Xin Du, Lei Sun, Wouter Duivesteijn, Alexander G. Nikolaev, Mykola Pechenizkiy

Data Min. Knowl. Discov., 2021

2020

How to cheat the page limit.

Wouter Duivesteijn, Sibylle Hess, Xin Du

WIREs Data Mining Knowl. Discov., 2020

struc2gauss: Structural role preserving network embedding via Gaussian embedding.

Yulong Pei, Xin Du, Jianpeng Zhang, George Fletcher, Mykola Pechenizkiy

Data Min. Knowl. Discov., 2020

Exceptional spatio-temporal behavior mining through Bayesian non-parametric modeling.

Xin Du, Yulong Pei, Wouter Duivesteijn, Mykola Pechenizkiy

Data Min. Knowl. Discov., 2020

Causal Discovery from Incomplete Data: A Deep Learning Approach.

Yuhao Wang, Vlado Menkovski, Hao Wang, Xin Du, Mykola Pechenizkiy

CoRR, 2020

Fairness in Network Representation by Latent Structural Heterogeneity in Observational Data.

Xin Du, Yulong Pei, Wouter Duivesteijn, Mykola Pechenizkiy

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

struc2gauss: Structure Preserving Network Embedding via Gaussian Embedding.

Yulong Pei, Xin Du, Jianpeng Zhang, George H. L. Fletcher, Mykola Pechenizkiy

CoRR, 2018

ELBA: Exceptional Learning Behavior Analysis.

Xin Du, Wouter Duivesteijn, Mykola Pechenizkiy

Proceedings of the 11th International Conference on Educational Data Mining, 2018