| 2022 | ICDM | GPUCSL: GPU-Based Library for Causal Structure Learning. | Tom Braun, Ben Hurdelhey, Dominik Meier, Petr Tsayun, Christopher Hagedorn, Johannes Huegle, Rainer Schlosser |
| 2021 | IJCAI | An Information-Theoretic Approach on Causal Structure Learning for Heterogeneous Data Characteristics of Real-World Scenarios. | Johannes Huegle |
| 2021 | KDD | MPCSL - A Modular Pipeline for Causal Structure Learning. | Johannes Huegle, Christopher Hagedorn, Michael Perscheid, Hasso Plattner |
| 2021 | SDM | GPU-Accelerated Constraint-Based Causal Structure Learning for Discrete Data. | Christopher Hagedorn, Johannes Huegle |
| 2020 | IJCAI | How Causal Structural Knowledge Adds Decision-Support in Monitoring of Automotive Body Shop Assembly Lines. | Johannes Huegle, Christopher Hagedorn, Matthias Uflacker |
| 2019 | ETFA | An automatic calibration approach for a multi-camera-robot system. | Ole Krger, Johannes Huegle, Carsten A. Niebuhr |
| 2019 | ICA3PP | Out-of-Core GPU-Accelerated Causal Structure Learning. | Christopher Schmidt, Johannes Huegle, Siegfried Horschig, Matthias Uflacker |
| 2019 | ICDCS | Quantitative Impact Evaluation of an Abstraction Layer for Data Stream Processing Systems. | Guenter Hesse, Christoph Matthies, Kelvin Glass, Johannes Huegle, Matthias Uflacker |
| 2019 | ICSE | Attitudes, beliefs, and development data concerning agile software development practices. | Christoph Matthies, Johannes Huegle, Tobias Drschmid, Ralf Teusner |
| 2019 | KDD | Load-Balanced Parallel Constraint-Based Causal Structure Learning on Multi-Core Systems for High-Dimensional Data. | Christopher Schmidt, Johannes Huegle, Philipp Bode, Matthias Uflacker |
| 2018 | SSDBM | Order-independent constraint-based causal structure learning for gaussian distribution models using GPUs. | Christopher Schmidt, Johannes Huegle, Matthias Uflacker |