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ORCIDXin Du 0006
Person information
- affiliation (PhD 2020): Eindhoven University of Technology, The Netherlands
Other persons with the same name
- Xin Du — disambiguation page
- Xin Du 0001
![[0000-0001-7424-1438]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-7424-1438")
— Shanghai University, Shanghai, China - Xin Du 0002 — Fudan University, School of Computer Science, Shanghai, China
- Xin Du 0003 — Fujian Normal University, Fuzhou, China
- Xin Du 0004 — Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing, China (and 1 more)
- Xin Du 0005 — Zhejiang University, College of Information Science and Electronic Engineering, Hangzhou, China
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Journal Articles
- 2021
[j4]Xin Du, Lei Sun, Wouter Duivesteijn, Alexander G. Nikolaev, Mykola Pechenizkiy:
Adversarial balancing-based representation learning for causal effect inference with observational data. Data Min. Knowl. Discov. 35(4): 1713-1738 (2021)- 2020
- [j3]Yulong Pei, Xin Du, Jianpeng Zhang, George Fletcher, Mykola Pechenizkiy:
struc2gauss: Structural role preserving network embedding via Gaussian embedding. Data Min. Knowl. Discov. 34(4): 1072-1103 (2020) - [j2]Xin Du, Yulong Pei, Wouter Duivesteijn, Mykola Pechenizkiy:
Exceptional spatio-temporal behavior mining through Bayesian non-parametric modeling. Data Min. Knowl. Discov. 34(5): 1267-1290 (2020) - [j1]Wouter Duivesteijn, Sibylle Hess, Xin Du:
How to cheat the page limit. WIREs Data Mining Knowl. Discov. 10(3) (2020)
Conference and Workshop Papers
- 2022
- [c3]Anthony Corso, Sydney M. Katz, Craig Innes, Xin Du, Subramanian Ramamoorthy, Mykel J. Kochenderfer:
Risk-Driven Design of Perception Systems. NeurIPS 2022 - 2020
- [c2]Xin Du, Yulong Pei, Wouter Duivesteijn, Mykola Pechenizkiy:
Fairness in Network Representation by Latent Structural Heterogeneity in Observational Data. AAAI 2020: 3809-3816 - 2018
- [c1]Xin Du, Wouter Duivesteijn, Mykola Pechenizkiy:
ELBA: Exceptional Learning Behavior Analysis. EDM 2018
Informal and Other Publications
- 2022
- [i6]Xin Du, Bénédicte Legastelois, Bhargavi Ganesh, Ajitha Rajan, Hana Chockler, Vaishak Belle, Stuart Anderson, Subramanian Ramamoorthy:
Vision Checklist: Towards Testable Error Analysis of Image Models to Help System Designers Interrogate Model Capabilities. CoRR abs/2201.11674 (2022) - [i5]Anthony L. Corso, Sydney M. Katz, Craig Innes, Xin Du, Subramanian Ramamoorthy, Mykel J. Kochenderfer:
Risk-Driven Design of Perception Systems. CoRR abs/2205.10677 (2022) - 2021
- [i4]Xin Du, Subramanian Ramamoorthy, Wouter Duivesteijn, Jin Tian, Mykola Pechenizkiy:
Beyond Discriminant Patterns: On the Robustness of Decision Rule Ensembles. CoRR abs/2109.10432 (2021) - 2020
- [i3]Yuhao Wang, Vlado Menkovski, Hao Wang, Xin Du, Mykola Pechenizkiy:
Causal Discovery from Incomplete Data: A Deep Learning Approach. CoRR abs/2001.05343 (2020) - 2019
- [i2]Xin Du, Lei Sun, Wouter Duivesteijn, Alexander G. Nikolaev, Mykola Pechenizkiy:
Adversarial Balancing-based Representation Learning for Causal Effect Inference with Observational Data. CoRR abs/1904.13335 (2019) - 2018
- [i1]Yulong Pei, Xin Du, Jianpeng Zhang, George H. L. Fletcher, Mykola Pechenizkiy:
struc2gauss: Structure Preserving Network Embedding via Gaussian Embedding. CoRR abs/1805.10043 (2018)
Coauthor Index
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